diff --git a/README.md b/README.md
index 9190e9f..268a99f 100644
--- a/README.md
+++ b/README.md
@@ -1,42 +1,4 @@
-# IPFS Huggingface Bridge
-
-for transformers.js visit:                          
-https://github.com/endomorphosis/ipfs_transformers_js
-
-for huggingface datasets python library visit:
-https://github.com/endomorphosis/ipfs_datasets
-
-for faiss KNN index python library visit:
-https://github.com/endomorphosis/ipfs_faiss
-
-for orbitdb_kit nodejs library visit:
-https://github.com/endomorphosis/orbitdb_kit/
-
-for python model manager library visit: 
-https://github.com/endomorphosis/ipfs_model_manager/
-
-for nodejs model manager library visit: 
-https://github.com/endomorphosis/ipfs_model_manager_js/
-
-for nodejs ipfs huggingface scraper with pinning services visit:
-https://github.com/endomorphosis/ipfs_huggingface_scraper/
-
-for ipfs huggingface agents visit:
-https://github.com/endomorphosis/ipfs_agents
-
-for ipfs huggingface accelerate visit:
-https://github.com/endomorphosis/ipfs_accelerate
-
-for ipfs_kit visit:
-https://github.com/endomorphosis/ipfs_kit
-
-for ipfs_kit_js visit:
-https://github.com/endomorphosis/ipfs_kit_js
-
-Author - Benjamin Barber
-QA - Kevin De Haan
-
-# About
+# IPFS Huggingface Transformers
 
 This is a model manager and wrapper for huggingface, looks up a index of models from an collection of models, and will download a model from either https/s3/ipfs, depending on which source is the fastest.
 
@@ -79,26 +41,44 @@ model = T5Model.from_auto_download(
 )
 ~~~
 
-# To scrape huggingface
 
-with interactive prompt:
+# IPFS Huggingface Bridge
+
+for transformers.js visit:                          
+https://github.com/endomorphosis/ipfs_transformers_js
 
-~~~shell
-node scraper.js [source] [model name]
-~~~
+for huggingface datasets python library visit:
+https://github.com/endomorphosis/ipfs_datasets
 
-~~~shell
-node scraper.js 
-~~~
+for faiss KNN index python library visit:
+https://github.com/endomorphosis/ipfs_faiss
 
-import a model already defined:
+for orbitdb_kit nodejs library visit:
+https://github.com/endomorphosis/orbitdb_kit/
 
-~~~shell
-node scraper.js hf "modelname" (as defined in your .json files)
-~~~
+for fireproof_kit nodejs library visit:
+https://github.com/endomorphosis/fireproof_kit
 
-import all models previously defined:
+for python model manager library visit: 
+https://github.com/endomorphosis/ipfs_model_manager/
 
-~~~shell
-node scraper.js hf 
-~~~
+for nodejs model manager library visit: 
+https://github.com/endomorphosis/ipfs_model_manager_js/
+
+for nodejs ipfs huggingface scraper with pinning services visit:
+https://github.com/endomorphosis/ipfs_huggingface_scraper/
+
+for ipfs huggingface agents visit:
+https://github.com/endomorphosis/ipfs_agents
+
+for ipfs huggingface accelerate visit:
+https://github.com/endomorphosis/ipfs_accelerate
+
+for ipfs_kit visit:
+https://github.com/endomorphosis/ipfs_kit
+
+for ipfs_kit_js visit:
+https://github.com/endomorphosis/ipfs_kit_js
+
+Author - Benjamin Barber
+QA - Kevin De Haan
diff --git a/example.py b/example.py
index 5422a94..d105374 100644
--- a/example.py
+++ b/example.py
@@ -3,8 +3,8 @@
 
 model = AutoModel.from_auto_download("bge-small-en-v1.5")  
 print(dir(model))
-model = AutoModel.from_ipfs("QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1")
-print(dir(model))
+# model = AutoModel.from_ipfs("QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1")
+# print(dir(model))
 
 
 ## OPTIONAL S3 Caching ##
diff --git a/huggingface_scraper/checkpoint_diffusion_convert.js b/huggingface_scraper/checkpoint_diffusion_convert.js
deleted file mode 100644
index e75518b..0000000
--- a/huggingface_scraper/checkpoint_diffusion_convert.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import fs from 'fs'
-import path from 'path'
\ No newline at end of file
diff --git a/huggingface_scraper/checkpoint_gguf_convert.js b/huggingface_scraper/checkpoint_gguf_convert.js
deleted file mode 100644
index f7b5e28..0000000
--- a/huggingface_scraper/checkpoint_gguf_convert.js
+++ /dev/null
@@ -1,30 +0,0 @@
-import fs from 'fs'
-import path from 'path'
-import os from 'os'
-
-export function convert_fp32_to_gguf(path){
-    let this_file = __filename  
-    let this_dir = path.dirname(this_file)
-    dest_path = path.replace(".ggml", ".gguf")
-    let command = "python3 " + this_dir + "/libllama/avx2/convert-ggml-gguf.py " + path + " " + dest_path
-    console.log("command is: " + command)
-    let results = os.system(command)
-}
-
-export function convert_fp16_to_gguf(path){
-    let this_file = __filename  
-    let this_dir = path.dirname(this_file)
-    dest_path = path.replace(".ggml", ".gguf")
-    let command = "python3 "+ this_dir + "/libllama/avx2/convert-ggml-gguf.py " + path + " " + dest_path
-    console.log("command is: " + command)
-    let results = os.system(command)
-}
-
-export function convert_ggml_to_gguf(path){
-    let this_file = __filename  
-    let this_dir = path.dirname(this_file)
-    dest_path = path.replace(".ggml", ".gguf")
-    let command = "python3 "+ this_dir + "/libllama/avx2/convert-ggml-gguf.py " + path + " " + dest_path
-    console.log("command is: " + command)
-    let results = os.system(command)
-}
diff --git a/huggingface_scraper/convert.js b/huggingface_scraper/convert.js
deleted file mode 100644
index 3e6d65f..0000000
--- a/huggingface_scraper/convert.js
+++ /dev/null
@@ -1,400 +0,0 @@
-import * as child_process from 'child_process';
-import * as fs from 'fs';
-import path from 'path'
-import { generate_md5, folder_data } from './utils.js';
-const cwd = path.dirname(new URL(import.meta.url).pathname)
-
-export function convert_gguf(generate, manifest){
-    let executable_path = path.join(cwd,"libllama")
-    executable_path = path.join(executable_path, "convert.py")
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    generate.format = "gguf"
-    return new_files
-}
-
-export function convert_ggml(generate, manifest){
-    let executable_path = path.join(cwd,"libllama")
-    executable_path = path.join(executable_path, "convert.py")
-    let files 
-    if (Object.keys(generate).includes("build_path")){
-        let files = fs.readdirSync(generate.build_path)
-    }
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    generate.format = "gguf"
-    return new_files
-}
-
-export function convert_llama_fp16_bak(generate, manifest, this_path){
-    let executable_path = path.join(cwd,"libllama")
-    executable_path = path.join(executable_path, "convert.py")
-    let quantization = generate.quantization
-    let ctx_length = generate.ctx_length
-    let source_dir = path.dirname(this_path)
-    let model_name = this_path.replace(source_dir,"").replace("/","").replace("/","")
-    let f16_model_name = model_name + "-f16"
-    let dest_path = path.join(source_dir, model_name + "-" + quantization + "/" + model_name + "-" + quantization +  ".gguf")
-    let f16_dest_path = path.join(source_dir, model_name + "-" + quantization + "/" + f16_model_name + ".gguf")
-    if(!fs.existsSync(path.join(source_dir, model_name))){
-        fs.mkdirSync(path.join(source_dir, model_name))
-    }
-    let command
-    if (ctx_length != undefined){ 
-        command = "python3 " + executable_path + " --outfile " + f16_dest_path + " --ctx + " + ctx_length  + " " + this_path + quantization + "/"
-    }
-    else{
-        command = "python3 " + executable_path + " --outfile " + f16_dest_path  + " " + this_path +"/"
-    }
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    if (quantization != "f16"){
-        let executable_path = path.join(cwd,"libllama")
-        executable_path = path.join(executable_path, "quantize")
-        let command2 =  executable_path + " " + f16_dest_path + " " + dest_path + " " + quantization
-        console.log("command2: " + command2)
-        //let results2 = child_process.execSync(command2, {stdio: 'ignore'})
-        let command3 = "rm -rf " + f16_dest_path
-        console.log("command3: " + command3)
-        let results3 = child_process.execSync(command3, {stdio: 'ignore'})
-    }
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    generate.format = "gguf"
-    return new_files
-}
-
-
-
-export function convert_llama_fp16(generate, manifest, this_path){
-    let executable_path = path.join(cwd,"libllama")
-    executable_path = path.join(executable_path, "convert.py")
-    let quantization = generate.quantization
-    let ctx_length = generate.ctx_length
-    let source_dir = path.dirname(this_path)
-    let model_name = generate.modelName
-    let f16_model_name = model_name + "-f16"
-    let dest_path = path.join(source_dir, model_name + "-" + quantization + "@gguf")
-    dest_path = path.join(dest_path, model_name + "-" + quantization +  ".gguf")
-    let f16_dest_path = path.join(source_dir,generate.id + "@gguf")
-    f16_dest_path = path.join(f16_dest_path, f16_model_name + ".gguf")
-    //if(!fs.existsSync(path.join(source_dir, model_name + "-" + quantization))){
-        //fs.mkdirSync(path.join(source_dir, model_name + "-" + quantization))
-    //}
-    let command
-    if (ctx_length != undefined){ 
-        command = "python3 " + executable_path + " --outfile " + f16_dest_path + " --ctx + " + ctx_length  + " " + this_path
-    }
-    else{
-        command = "python3 " + executable_path + " --outfile " + f16_dest_path  + " " + this_path
-    }
-    console.log("command: " + command)
-    if(!fs.existsSync(path.dirname(f16_dest_path))){
-        fs.mkdirSync(path.dirname(f16_dest_path))
-    }
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let new_path = path.dirname(f16_dest_path)
-    let command_1 = "rm -rf " + this_path
-    console.log("command_1: " + command_1)
-    if (quantization != "f32"){
-        let executable_path = path.join(cwd,"libllama")
-        executable_path = path.join(executable_path, "quantize")
-        let command2 =  executable_path + " " + f16_dest_path + " " + dest_path + " " + quantization
-        console.log("command2: " + command2)
-        let results2 = child_process.execSync(command2, {stdio: 'ignore'})
-        let command3 = "rm -rf " + this_path
-        console.log("command3: " + command3)
-        let results3 = child_process.execSync(command3, {stdio: 'ignore'})
-        let command4 = "rm " + f16_dest_path
-        console.log("command4: " + command4)
-        let results4 = child_process.execSync(command4, {stdio: 'ignore'})
-    }
-    try {
-        const stats = fs.statSync(dest_path);
-    
-        if (stats.isDirectory()) {
-            console.log(`${dest_path} is a directory.`);
-        } 
-        else if (stats.isFile()) {
-            console.log(`${dest_path} is a file.`);
-            dest_path = path.dirname(dest_path)
-        }
-    } catch (err) {
-        console.error(err);
-    }
-
-    let command4 = "cd " + dest_path + " ; find *"
-    console.log("command4: " + command4)
-    let file_structure = child_process.execSync(command4)
-    file_structure = file_structure.toString().split("\n")
-    for (var i = 0; i < file_structure.length; i++){
-        file_structure[i] = "/" + file_structure[i]
-    }
-    console.log("file_structure: " + file_structure)
-    let files = fs.readdirSync(new_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    generate.format = "gguf"
-    return new_files
-}
-
-export function convert_llama_fp32(generate, manifest, this_path){
-    let executable_path = path.join(cwd,"libllama")
-    executable_path = path.join(executable_path, "convert.py")
-    let quantization = generate.quantization
-    let ctx_length = generate.ctx_length
-    let source_dir = path.dirname(this_path)
-    let model_name = generate.modelName
-    let f32_model_name = model_name + "-f32"
-    let dest_path = path.join(source_dir, model_name + "-" + quantization)
-    dest_path = path.join(dest_path, model_name + "-" + quantization +  ".gguf")
-    let f32_dest_path = path.join(source_dir,generate.id)
-    f32_dest_path = path.join(f32_dest_path, f32_model_name + ".gguf")
-    //if(!fs.existsSync(path.join(source_dir, model_name + "-" + quantization))){
-        //fs.mkdirSync(path.join(source_dir, model_name + "-" + quantization))
-    //}
-    let command
-    if (ctx_length != undefined){ 
-        command = "python3 " + executable_path + " --outfile " + f32_dest_path + " --ctx + " + ctx_length  + " " + this_path
-    }
-    else{
-        command = "python3 " + executable_path + " --outfile " + f32_dest_path  + " " + this_path
-    }
-    console.log("command: " + command)
-    if(!fs.existsSync(path.dirname(f32_dest_path))){
-        fs.mkdirSync(path.dirname(f32_dest_path))
-    }
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let new_path = path.dirname(f32_dest_path)
-    let command_1 = "rm -rf " + this_path
-    console.log("command_1: " + command_1)
-    if (quantization != "f32"){
-        let executable_path = path.join(cwd,"libllama")
-        executable_path = path.join(executable_path, "quantize")
-        let command2 =  executable_path + " " + f32_dest_path + " " + dest_path + " " + quantization
-        console.log("command2: " + command2)
-        let results2 = child_process.execSync(command2, {stdio: 'ignore'})
-        let command3 = "rm -rf " + this_path
-        console.log("command3: " + command3)
-        let results3 = child_process.execSync(command3, {stdio: 'ignore'})
-        let command4 = "rm " + f32_dest_path
-        console.log("command4: " + command4)
-        let results4 = child_process.execSync(command4, {stdio: 'ignore'})
-    }
-    try {
-        const stats = fs.statSync(dest_path);
-    
-        if (stats.isDirectory()) {
-            console.log(`${dest_path} is a directory.`);
-        } 
-        else if (stats.isFile()) {
-            console.log(`${dest_path} is a file.`);
-            dest_path = path.dirname(dest_path)
-        }
-    } catch (err) {
-        console.error(err);
-    }
-
-    let command4 = "cd " + dest_path + " ; find *"
-    console.log("command4: " + command4)
-    let file_structure = child_process.execSync(command4)
-    file_structure = file_structure.toString().split("\n")
-    for (var i = 0; i < file_structure.length; i++){
-        file_structure[i] = "/" + file_structure[i]
-    }
-    console.log("file_structure: " + file_structure)
-    let files = fs.readdirSync(new_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    generate.format = "gguf"
-    return new_files
-}
-
-export function convert_safetensor_hf(generate, manifest, this_path){
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_safetensor_hf.py")
-    let dest_path =  this_path.replace(".safetensor", "/")
-    let command = "python3 " + executable_path + " " + this_path + " " + dest_path 
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_ckpt_hf(generate, manifest, this_path){
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_ckpt_hf.py")
-    let dest_path =  this_path.replace(".ckpt", "/")
-    let command = "python3 " + executable_path + " " + this_path + " " + dest_path 
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_safetensor_ckpt(generate, manifest, this_path){
-    let command
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_original_stable_diffusion_to_diffusers.py")
-    let source_dir = path.dirname(this_path)
-    let model_name = this_path.replace(source_dir,"")
-    let dest_path =  source_dir + model_name.replace(".safetensors","") + "/"
-    command = "python3 " + executable_path + " --checkpoint_path " + this_path + " --dump_path " + dest_path +
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    convert_hf_ckpt(generate, manifest, dest_path)
-    let command_2 = "rm -rf " + dest_path
-    results = child_process.execSync(command_2, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_ckpt_safetensor(generate, manifest, this_path){
-    let command
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_original_stable_diffusion_to_diffusers.py")
-    let source_dir = path.dirname(this_path)
-    let model_name = this_path.replace(source_dir,"")
-    let dest_path =  source_dir + model_name.replace(".ckpt","") + "/"
-    command = "python3 " + executable_path + " --checkpoint_path " + this_path + " --dump_path " + dest_path 
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    convert_hf_safetensor(generate, manifest, dest_path)
-    let command_2 = "rm -rf " + dest_path
-    console.log("command_2: " + command_2)
-    results = child_process.execSync(command_2, {stdio: 'ignore'})
-    //let command_3 = "rm -rf " + this_path
-    //console.log("command_3: " + command_3)
-    //results = child_process.execSync(command_3, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_hf_ckpt(generate, manifest, source_path){
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_diffusers_to_original_stable_diffusion.py")
-    let source_dir = path.dirname(source_path)
-    let model_name = source_path.replace(source_dir,"").replace("/","")
-    let dest_path = path.join(source_dir, model_name + ".ckpt")
-    let command = "python3 " + executable_path + " --model_path " + this_path + " --checkpoint_path " + dest_path 
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_hf_safetensor(generate, manifest, source_path){
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "convert_diffusers_to_original_stable_diffusion.py")
-    let source_dir = path.dirname(source_path)
-    let model_name = source_path.replace(source_dir,"").replace("/","").replace("/","")
-    let dest_path = path.join(source_dir, model_name + ".safetensors") 
-    let command = "python3 " + executable_path + " --model_path " + source_path + " --checkpoint_path " + dest_path + " --use_safetensors"
-    console.log("command: " + command)
-    let results = child_process.execSync(command, {stdio: 'ignore'})
-    let files = fs.readdirSync(generate.build_path)
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    return new_files
-}
-
-export function convert_model(generate, manifest, this_path){
-    let results = ""
-
-    function convert(generate, manifest, this_path){
-        if(generate.skill == "llama_cpp"){
-            if (generate.format == 'gguf'){
-                return convert_ggml(generate, manifest, this_path)
-            }
-            if (generate.format == 'ggml'){
-                return convert_ggml(generate, manifest, this_path)
-            }
-            if (generate.format == 'llama_fp16'){
-                return convert_llama_fp16(generate, manifest, this_path)
-            }
-            if (generate.format == 'llama_fp32'){
-                return convert_llama_fp32(generate, manifest, this_path)
-            }
-        }
-        if(generate.skill == "diffusion"){
-            if (generate.format == 'safetensor'){
-                console.log()
-            }
-            if (generate.format == 'ckpt'){
-                return convert_ckpt_safetensor(generate, manifest, this_path)
-            }
-            if (generate.format == 'hf'){
-                return convert_hf_safetensor(generate, manifest, this_path)
-            }
-        }
-    }
-
-    function convert_and_move(generate, manifest, this_path){
-        let old_format = generate.format
-        convert(generate, manifest, this_path)
-        let new_format = generate.format
-        if (old_format != new_format){
-            generate.converted = true
-        }
-
-        //let build_path_split = generate.build_path.split("@")
-        //build_path_split[1] = generate.format
-        //let new_build_path = build_path_split.join("@")
-        //let command = "rm " + generate.build_path + " " + new_build_path
-        //let results = child_process.execSync(command, {stdio: 'ignore'})
-
-        //generate.build_path = new_build_path
-        manifest.folderData = folder_data(generate, manifest, generate.build_path)
-        return Object.keys(manifest.folderData)    
-    }
-
-    return convert_and_move(generate, manifest, this_path)
-
-}
-
-
diff --git a/huggingface_scraper/generate_manifest.js b/huggingface_scraper/generate_manifest.js
deleted file mode 100644
index 8df6e95..0000000
--- a/huggingface_scraper/generate_manifest.js
+++ /dev/null
@@ -1,201 +0,0 @@
-import fs from 'fs'
-import path, { parse } from 'path'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import hf_embed_calc from './manifests/manifest_hf_embed.js'
-import hf_embed_add from './manifests/manifest_hf_embed.js'
-import llama_cpp_calc from './manifests/manifest_llama_cpp.js'
-import llama_cpp_add from './manifests/manifest_llama_cpp.js'
-import hf_lm_calc from './manifests/manifest_hf_lm.js'
-import hf_lm_add from './manifests/manifest_hf_lm.js'
-import hf_t5_calc from './manifests/manifest_hf_t5.js'
-import hf_t5_add from './manifests/manifest_hf_t5.js'
-import knn_calc from './manifests/manifest_knn.js'
-import knn_add from './manifests/manifest_knn.js'
-import api_calc from './manifests/manifest_api.js'
-import api_add from './manifests/manifest_api.js'
-import hf_faster_whisper_calc from './manifests/manifest_hf_faster_whisper.js'
-import hf_faster_whisper_add from './manifests/manifest_hf_faster_whisper.js'
-import hf_transformers_calc from './manifests/manifest_hf_transformers.js'
-import hf_transformers_add from './manifests/manifest_hf_transformers.js'
-import diffusion_calc from './manifests/manifest_diffusion.js'
-import diffusion_add from './manifests/manifest_diffusion.js'
-import dataset_calc from './manifests/manifest_dataset.js'
-import dataset_add from './manifests/manifest_dataset.js'
-import {complete, parse_templates, generate_test} from './utils.js'
-
-export class Generate_Manifest{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-    }
-
-
-    generate_from_prompt(generate){
-        let generation = this.generate(generate)
-        let test_generation = false
-        if (test_generation){
-            let add_generation = this.add_generator_to_model_data(this, generation)
-        }
-        return generation
-    }
-
-    main(generate){
-        let generation = this.generate(generate)
-        let test_generation = false
-        if (test_generation){
-            let add_generation = this.add_generator_to_model_data(this, generation)
-        }
-        return generation
-    }
-
-    add_generator_to_model_data(generation){
-        if (generation.skill == undefined){
-            throw("skill is undefined")
-        }
-        else if (generation.skill == 'hf_transformers'){
-            results = hf_transformers_add(this)
-        }
-        else if (generation.skill == 'hf_embed'){
-            results = hf_embed_add(this)
-        }
-        else if (generation.skill == 'llama_cpp'){
-            results = llama_cpp_add(this)
-        }
-        else if (generation.skill == 'diffusion'){
-            results = diffusion_add(this)
-        }
-        else if (generation.skill == 'knn'){
-            results = knn_add(this)
-        }
-        else if (generation.skill == 'api'){
-            results = api_add(this)
-        }
-        else if (generation.skill == 'custom'){
-            results = custom_add(this)
-        }
-        else if (generation.skill == 'hf_faster_whisper'){
-            results = hf_faster_whisper_add(this)
-        }
-        else if (generation.skill == 'hf_lm'){
-            results = hf_lm_add(this)
-        }
-        else if (generation.skill == 'hf_t5'){
-            results = hf_t5_add(this)
-        }
-        else if (generation.skill == 'dataset'){
-            results = dataset_add(this)
-        }
-        else{
-            throw("skill is not defined")
-        }
-        
-
-        return results
-    }
-
-    generate(generate){
-        let metadata = this.metadata
-        let hwRequirements = this.hwRequirements
-        let results
-        let model_types = ['hf_transformers', 'hf_embed', 'llama_cpp', 'diffusion', 'knn', 'api', 'whisper', 'hf_lm', 'hf_t5', 'dataset']
-        // prompt the user for input
-        console.log("1. hf_transformers")
-        console.log("2. hf_embed")
-        console.log("3. llama_cpp")
-        console.log("4. diffusion")
-        console.log("5. knn")
-        console.log("6. api")
-        console.log("7. whisper")
-        console.log("8. hf_lm")
-        console.log("9. hf_t5")
-        console.log("10. dataset")
-        // request console input
-        let prompt = prompt_sync(({
-            history: prompt_sync_history(),
-            autocomplete: complete(model_types),
-            sigint: true
-        }))
-    
-        let model_type = prompt("Select a model type: ")
-        // check if the input is valid
-        console.log("confirm model type: " + model_type)
-        if (!model_types.includes(model_type)){
-            if (parseInt(model_type) > 0 && parseInt(model_type) <= 10 ){
-                model_type = model_types[parseInt(model_type) - 1]
-            }
-            else{
-                console.log("Invalid model type")
-                return
-            }
-        }
-    
-        this.skill = model_type
-
-        if (model_type == 'hf_transformers'){
-            results = hf_transformers_calc(this)
-        }
-
-        if (model_type == 'hf_faster_whisper'){
-            results = hf_faster_whisper_calc(this)
-        }
-
-        if (model_type == 'hf_lm'){
-            results = hf_lm_calc(this)
-        }
-
-        if (model_type == "hf_t5"){
-            results = hf_t5_calc(this)
-        }
-    
-        if (model_type == 'hf_embed'){
-            results = hf_embed_calc(this)
-        }
-    
-        if (model_type == 'llama_cpp'){
-            results = llama_cpp_calc(this)
-        }
-    
-        if (model_type == 'diffusion'){
-            results = diffusion_calc(this)
-        }
-    
-        if (model_type == 'knn'){
-            results = knn_calc(this)
-        }
-    
-        if (model_type == 'api'){
-            results = api_calc(this)
-        }
-    
-        if (model_type == 'custom'){
-            results = custom_calc(this)
-        }
-
-        if (model_type == 'dataset'){
-            results = dataset_calc(this)
-        }
-
-        try{
-           let test = generate_test(results)
-        }
-        catch(err){
-            console.log("Error in testing the manifest ")
-            console.log(model_type)
-            console.log("results")
-            console.log(results)
-            console.log("error")
-            console.log(err)
-//            throw("Error in testing the manifest " +  model_type)
-        }
-        finally{
-            return results
-        }
-    
-    }
-    
-    custom_calc(){
-        throw("custom is not yet supported")
-    }
-
-}
diff --git a/huggingface_scraper/generator.js b/huggingface_scraper/generator.js
deleted file mode 100644
index 75ecdd3..0000000
--- a/huggingface_scraper/generator.js
+++ /dev/null
@@ -1,289 +0,0 @@
-
-import fs from 'fs/promises';
-import path from 'path';
-import generate_hf_transformers from './modeldata/generate_hf_transformers.json' assert { type: 'json' };
-import generate_llama_cpp from './modeldata/generate_llama_cpp.json' assert { type: 'json' };
-import generate_hf_embed from './modeldata/generate_hf_embed.json' assert { type: 'json' };
-import generate_hf_faster_whisper from './modeldata/generate_hf_faster_whisper.json' assert { type: 'json' };
-import generate_hf_lm from './modeldata/generate_hf_lm.json' assert { type: 'json' };
-import generate_hf_t5 from './modeldata/generate_hf_t5.json' assert { type: 'json' };
-import generate_hf_diffusion from './modeldata/generate_diffusion.json' assert { type: 'json' };
-import generate_api from './modeldata/generate_api.json' assert { type: 'json' };
-import generate_knn from './modeldata/generate_knn.json' assert { type: 'json' };
-import generate_dataset from './modeldata/generate_dataset.json' assert { type: 'json' };
-import { setFlagsFromString } from 'v8';
-
-export function template_llama_cpp(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_llama_cpp)
-    let local = local_model_path
-    let quantizations = ['Q8_0', 'Q6_K', 'Q5_K_M','Q5_K_S', 'Q5_0', 'Q4_K_M' , 'Q4_K_S' ,'Q4_0', 'Q3_K_L' ,'Q3_K_S', 'Q3_K_M', 'Q2_K', ]
-    let quantiizations = quantizations.reverse()
-    for (var model in models){
-        let this_model = models[model]
-        for(var quantization in quantizations){
-            let this_quanitization = quantizations[quantization]
-            generate = {}
-            generate.modelName = this_model
-            generate.skill = "llama_cpp"
-            generate.quantization = this_quanitization
-            generate.format = generate_llama_cpp[this_model].format
-            generate.id = this_model + "-" + generate.quantization
-            generate.parameters = generate_llama_cpp[this_model].parameters
-            generate.source = generate_llama_cpp[this_model].source
-            generate.ropeScale = generate_llama_cpp[this_model].ropeScale
-            generate.contextSize = generate_llama_cpp[this_model].contextSize
-            generate.units = "tokens"
-            generate.destPath = local + this_model + "-" + generate.quantization
-            results.push(generate)
-        }
-    }
-    return results
-}
-
-export function template_hf_transformers(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_transformers)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_t5"
-        generate.format = generate_hf_transformers[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_transformers[this_model].parameters
-        generate.source = generate_hf_transformers[this_model].source
-        generate.contextSize = generate_hf_transformers[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        //generate.destPath = local
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_hf_faster_whisper(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_faster_whisper)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_faster_whisper"
-        generate.format = generate_hf_faster_whisper[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_faster_whisper[this_model].parameters
-        generate.source = generate_hf_faster_whisper[this_model].source
-        generate.contextSize = generate_hf_faster_whisper[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "seconds"
-        //generate.destPath = local
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_hf_embed(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_embed)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_embed"
-        generate.format = generate_hf_embed[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_embed[this_model].parameters
-        generate.source = generate_hf_embed[this_model].source
-        generate.contextSize = generate_hf_embed[this_model].contextSize
-        generate.dimensions = generate_hf_embed[this_model].dimensions
-        generate.content_type = generate_hf_embed[this_model].content_type
-        generate.location = "huggingface"
-        generate.units = "vectors"
-        //generate.destPath = local
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_hf_lm(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_lm)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_lm"
-        generate.format = generate_hf_lm[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_lm[this_model].parameters
-        generate.source = generate_hf_lm[this_model].source
-        generate.contextSize = generate_hf_lm[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_hf_t5(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_t5)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_t5"
-        generate.format = generate_hf_t5[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_t5[this_model].parameters
-        generate.source = generate_hf_t5[this_model].source
-        generate.contextSize = generate_hf_t5[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_hf_diffusion(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_hf_diffusion)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "hf_diffusion"
-        generate.format = generate_hf_diffusion[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_hf_diffusion[this_model].parameters
-        generate.source = generate_hf_diffusion[this_model].source
-        generate.contextSize = generate_hf_diffusion[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_knn(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_knn)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "knn"
-        generate.format = generate_knn[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_knn[this_model].parameters
-        generate.source = generate_knn[this_model].source
-        generate.contextSize = generate_knn[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-export function template_api(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_api)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "api"
-        generate.format = generate_api[this_model].format
-        generate.id = this_model 
-        generate.parameters = generate_api[this_model].parameters
-        generate.source = generate_api[this_model].source
-        generate.contextSize = generate_api[this_model].contextSize
-        generate.location = "huggingface"
-        generate.units = "tokens"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-
-export function template_dataset(local_model_path, collection_path){
-    let results = []
-    let generate
-    let models = Object.keys(generate_api)
-    let local = local_model_path
-    for (var model in models){
-        let this_model = models[model]
-        generate = {}
-        generate.modelName = this_model
-        generate.skill = "dataset"
-        generate.format = generate_template[this_model].format
-        generate.id = this_model 
-        generate.samples = generate_template[this_model].samples
-        generate.size = generate_template[this_model].size
-        generate.location = "huggingface"
-        generate.units = "MB"
-        generate.destPath = local + "/" + this_model 
-        results.push(generate)
-    }
-    return results
-}
-
-
-export class Generator{
-    constructor(local_model_path, collection_path){
-        this.llama_cpp = {}
-        this.diffusion = {}
-        this.hf_transformers = {}
-        this.hf_embed = {}
-        this.knn = {}
-        this.api = {}
-        this.custom = {}
-        this.hf_lm = {}
-        this.hf_t5 = {}
-        this.hf_diffusion = {}
-        this.dataset = {}
-        this.local_model_path = local_model_path
-        this.collection_path = collection_path
-    }
-
-    main(){
-        this
-        this.llama_cpp = template_llama_cpp(this.local_model_path, this.collection_path)
-        this.hf_transformers = template_hf_transformers(this.local_model_path, this.collection_path)
-        this.hf_embed = template_hf_embed(this.local_model_path, this.collection_path)
-        this.hf_faster_whisper = template_hf_faster_whisper(this.local_model_path, this.collection_path)
-        this.hf_lm = template_hf_lm(this.local_model_path, this.collection_path)
-        this.hf_t5 = template_hf_t5(this.local_model_path, this.collection_path)
-        this.hf_diffusion = template_hf_diffusion(this.local_model_path, this.collection_path)
-        this.api = template_api(this.local_model_path, this.collection_path)
-        this.knn = template_knn(this.local_model_path, this.collection_path)
-        this.dataset = template_dataset(this.local_model_path, this.collection_path)
-        return this 
-    }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/huggingface/convert_ckpt_hf.py b/huggingface_scraper/huggingface/convert_ckpt_hf.py
deleted file mode 100644
index 42991ac..0000000
--- a/huggingface_scraper/huggingface/convert_ckpt_hf.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import diffusers
-import sys 
-
-def main(source_file, output_folder):
-    pipe = diffusers.StableDiffusionPipeline.from_single_file(source_file)
-    pipe.save_pretrained(output_folder)
-
-if __name__ == "__main__":
-    main(sys.argv[1], sys.argv[2])
\ No newline at end of file
diff --git a/huggingface_scraper/huggingface/convert_ckpt_safetensors.py b/huggingface_scraper/huggingface/convert_ckpt_safetensors.py
deleted file mode 100644
index 8d1c8b6..0000000
--- a/huggingface_scraper/huggingface/convert_ckpt_safetensors.py
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/huggingface_scraper/huggingface/convert_diffusers_to_original_sdxl.py b/huggingface_scraper/huggingface/convert_diffusers_to_original_sdxl.py
deleted file mode 100644
index 1f11ef4..0000000
--- a/huggingface_scraper/huggingface/convert_diffusers_to_original_sdxl.py
+++ /dev/null
@@ -1,340 +0,0 @@
-# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
-# *Only* converts the UNet, VAE, and Text Encoder.
-# Does not convert optimizer state or any other thing.
-
-import argparse
-import os.path as osp
-import re
-
-import torch
-from safetensors.torch import load_file, save_file
-
-
-# =================#
-# UNet Conversion #
-# =================#
-
-unet_conversion_map = [
-    # (stable-diffusion, HF Diffusers)
-    ("time_embed.0.weight", "time_embedding.linear_1.weight"),
-    ("time_embed.0.bias", "time_embedding.linear_1.bias"),
-    ("time_embed.2.weight", "time_embedding.linear_2.weight"),
-    ("time_embed.2.bias", "time_embedding.linear_2.bias"),
-    ("input_blocks.0.0.weight", "conv_in.weight"),
-    ("input_blocks.0.0.bias", "conv_in.bias"),
-    ("out.0.weight", "conv_norm_out.weight"),
-    ("out.0.bias", "conv_norm_out.bias"),
-    ("out.2.weight", "conv_out.weight"),
-    ("out.2.bias", "conv_out.bias"),
-    # the following are for sdxl
-    ("label_emb.0.0.weight", "add_embedding.linear_1.weight"),
-    ("label_emb.0.0.bias", "add_embedding.linear_1.bias"),
-    ("label_emb.0.2.weight", "add_embedding.linear_2.weight"),
-    ("label_emb.0.2.bias", "add_embedding.linear_2.bias"),
-]
-
-unet_conversion_map_resnet = [
-    # (stable-diffusion, HF Diffusers)
-    ("in_layers.0", "norm1"),
-    ("in_layers.2", "conv1"),
-    ("out_layers.0", "norm2"),
-    ("out_layers.3", "conv2"),
-    ("emb_layers.1", "time_emb_proj"),
-    ("skip_connection", "conv_shortcut"),
-]
-
-unet_conversion_map_layer = []
-# hardcoded number of downblocks and resnets/attentions...
-# would need smarter logic for other networks.
-for i in range(3):
-    # loop over downblocks/upblocks
-
-    for j in range(2):
-        # loop over resnets/attentions for downblocks
-        hf_down_res_prefix = f"down_blocks.{i}.resnets.{j}."
-        sd_down_res_prefix = f"input_blocks.{3*i + j + 1}.0."
-        unet_conversion_map_layer.append((sd_down_res_prefix, hf_down_res_prefix))
-
-        if i > 0:
-            hf_down_atn_prefix = f"down_blocks.{i}.attentions.{j}."
-            sd_down_atn_prefix = f"input_blocks.{3*i + j + 1}.1."
-            unet_conversion_map_layer.append((sd_down_atn_prefix, hf_down_atn_prefix))
-
-    for j in range(4):
-        # loop over resnets/attentions for upblocks
-        hf_up_res_prefix = f"up_blocks.{i}.resnets.{j}."
-        sd_up_res_prefix = f"output_blocks.{3*i + j}.0."
-        unet_conversion_map_layer.append((sd_up_res_prefix, hf_up_res_prefix))
-
-        if i < 2:
-            # no attention layers in up_blocks.0
-            hf_up_atn_prefix = f"up_blocks.{i}.attentions.{j}."
-            sd_up_atn_prefix = f"output_blocks.{3 * i + j}.1."
-            unet_conversion_map_layer.append((sd_up_atn_prefix, hf_up_atn_prefix))
-
-    if i < 3:
-        # no downsample in down_blocks.3
-        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0.conv."
-        sd_downsample_prefix = f"input_blocks.{3*(i+1)}.0.op."
-        unet_conversion_map_layer.append((sd_downsample_prefix, hf_downsample_prefix))
-
-        # no upsample in up_blocks.3
-        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
-        sd_upsample_prefix = f"output_blocks.{3*i + 2}.{1 if i == 0 else 2}."
-        unet_conversion_map_layer.append((sd_upsample_prefix, hf_upsample_prefix))
-unet_conversion_map_layer.append(("output_blocks.2.2.conv.", "output_blocks.2.1.conv."))
-
-hf_mid_atn_prefix = "mid_block.attentions.0."
-sd_mid_atn_prefix = "middle_block.1."
-unet_conversion_map_layer.append((sd_mid_atn_prefix, hf_mid_atn_prefix))
-for j in range(2):
-    hf_mid_res_prefix = f"mid_block.resnets.{j}."
-    sd_mid_res_prefix = f"middle_block.{2*j}."
-    unet_conversion_map_layer.append((sd_mid_res_prefix, hf_mid_res_prefix))
-
-
-def convert_unet_state_dict(unet_state_dict):
-    # buyer beware: this is a *brittle* function,
-    # and correct output requires that all of these pieces interact in
-    # the exact order in which I have arranged them.
-    mapping = {k: k for k in unet_state_dict.keys()}
-    for sd_name, hf_name in unet_conversion_map:
-        mapping[hf_name] = sd_name
-    for k, v in mapping.items():
-        if "resnets" in k:
-            for sd_part, hf_part in unet_conversion_map_resnet:
-                v = v.replace(hf_part, sd_part)
-            mapping[k] = v
-    for k, v in mapping.items():
-        for sd_part, hf_part in unet_conversion_map_layer:
-            v = v.replace(hf_part, sd_part)
-        mapping[k] = v
-    new_state_dict = {sd_name: unet_state_dict[hf_name] for hf_name, sd_name in mapping.items()}
-    return new_state_dict
-
-
-# ================#
-# VAE Conversion #
-# ================#
-
-vae_conversion_map = [
-    # (stable-diffusion, HF Diffusers)
-    ("nin_shortcut", "conv_shortcut"),
-    ("norm_out", "conv_norm_out"),
-    ("mid.attn_1.", "mid_block.attentions.0."),
-]
-
-for i in range(4):
-    # down_blocks have two resnets
-    for j in range(2):
-        hf_down_prefix = f"encoder.down_blocks.{i}.resnets.{j}."
-        sd_down_prefix = f"encoder.down.{i}.block.{j}."
-        vae_conversion_map.append((sd_down_prefix, hf_down_prefix))
-
-    if i < 3:
-        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0."
-        sd_downsample_prefix = f"down.{i}.downsample."
-        vae_conversion_map.append((sd_downsample_prefix, hf_downsample_prefix))
-
-        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
-        sd_upsample_prefix = f"up.{3-i}.upsample."
-        vae_conversion_map.append((sd_upsample_prefix, hf_upsample_prefix))
-
-    # up_blocks have three resnets
-    # also, up blocks in hf are numbered in reverse from sd
-    for j in range(3):
-        hf_up_prefix = f"decoder.up_blocks.{i}.resnets.{j}."
-        sd_up_prefix = f"decoder.up.{3-i}.block.{j}."
-        vae_conversion_map.append((sd_up_prefix, hf_up_prefix))
-
-# this part accounts for mid blocks in both the encoder and the decoder
-for i in range(2):
-    hf_mid_res_prefix = f"mid_block.resnets.{i}."
-    sd_mid_res_prefix = f"mid.block_{i+1}."
-    vae_conversion_map.append((sd_mid_res_prefix, hf_mid_res_prefix))
-
-
-vae_conversion_map_attn = [
-    # (stable-diffusion, HF Diffusers)
-    ("norm.", "group_norm."),
-    # the following are for SDXL
-    ("q.", "to_q."),
-    ("k.", "to_k."),
-    ("v.", "to_v."),
-    ("proj_out.", "to_out.0."),
-]
-
-
-def reshape_weight_for_sd(w):
-    # convert HF linear weights to SD conv2d weights
-    return w.reshape(*w.shape, 1, 1)
-
-
-def convert_vae_state_dict(vae_state_dict):
-    mapping = {k: k for k in vae_state_dict.keys()}
-    for k, v in mapping.items():
-        for sd_part, hf_part in vae_conversion_map:
-            v = v.replace(hf_part, sd_part)
-        mapping[k] = v
-    for k, v in mapping.items():
-        if "attentions" in k:
-            for sd_part, hf_part in vae_conversion_map_attn:
-                v = v.replace(hf_part, sd_part)
-            mapping[k] = v
-    new_state_dict = {v: vae_state_dict[k] for k, v in mapping.items()}
-    weights_to_convert = ["q", "k", "v", "proj_out"]
-    for k, v in new_state_dict.items():
-        for weight_name in weights_to_convert:
-            if f"mid.attn_1.{weight_name}.weight" in k:
-                print(f"Reshaping {k} for SD format")
-                new_state_dict[k] = reshape_weight_for_sd(v)
-    return new_state_dict
-
-
-# =========================#
-# Text Encoder Conversion #
-# =========================#
-
-
-textenc_conversion_lst = [
-    # (stable-diffusion, HF Diffusers)
-    ("transformer.resblocks.", "text_model.encoder.layers."),
-    ("ln_1", "layer_norm1"),
-    ("ln_2", "layer_norm2"),
-    (".c_fc.", ".fc1."),
-    (".c_proj.", ".fc2."),
-    (".attn", ".self_attn"),
-    ("ln_final.", "text_model.final_layer_norm."),
-    ("token_embedding.weight", "text_model.embeddings.token_embedding.weight"),
-    ("positional_embedding", "text_model.embeddings.position_embedding.weight"),
-]
-protected = {re.escape(x[1]): x[0] for x in textenc_conversion_lst}
-textenc_pattern = re.compile("|".join(protected.keys()))
-
-# Ordering is from https://github.com/pytorch/pytorch/blob/master/test/cpp/api/modules.cpp
-code2idx = {"q": 0, "k": 1, "v": 2}
-
-
-def convert_openclip_text_enc_state_dict(text_enc_dict):
-    new_state_dict = {}
-    capture_qkv_weight = {}
-    capture_qkv_bias = {}
-    for k, v in text_enc_dict.items():
-        if (
-            k.endswith(".self_attn.q_proj.weight")
-            or k.endswith(".self_attn.k_proj.weight")
-            or k.endswith(".self_attn.v_proj.weight")
-        ):
-            k_pre = k[: -len(".q_proj.weight")]
-            k_code = k[-len("q_proj.weight")]
-            if k_pre not in capture_qkv_weight:
-                capture_qkv_weight[k_pre] = [None, None, None]
-            capture_qkv_weight[k_pre][code2idx[k_code]] = v
-            continue
-
-        if (
-            k.endswith(".self_attn.q_proj.bias")
-            or k.endswith(".self_attn.k_proj.bias")
-            or k.endswith(".self_attn.v_proj.bias")
-        ):
-            k_pre = k[: -len(".q_proj.bias")]
-            k_code = k[-len("q_proj.bias")]
-            if k_pre not in capture_qkv_bias:
-                capture_qkv_bias[k_pre] = [None, None, None]
-            capture_qkv_bias[k_pre][code2idx[k_code]] = v
-            continue
-
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k)
-        new_state_dict[relabelled_key] = v
-
-    for k_pre, tensors in capture_qkv_weight.items():
-        if None in tensors:
-            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
-        new_state_dict[relabelled_key + ".in_proj_weight"] = torch.cat(tensors)
-
-    for k_pre, tensors in capture_qkv_bias.items():
-        if None in tensors:
-            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
-        new_state_dict[relabelled_key + ".in_proj_bias"] = torch.cat(tensors)
-
-    return new_state_dict
-
-
-def convert_openai_text_enc_state_dict(text_enc_dict):
-    return text_enc_dict
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument("--model_path", default=None, type=str, required=True, help="Path to the model to convert.")
-    parser.add_argument("--checkpoint_path", default=None, type=str, required=True, help="Path to the output model.")
-    parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
-    parser.add_argument(
-        "--use_safetensors", action="store_true", help="Save weights use safetensors, default is ckpt."
-    )
-
-    args = parser.parse_args()
-
-    assert args.model_path is not None, "Must provide a model path!"
-
-    assert args.checkpoint_path is not None, "Must provide a checkpoint path!"
-
-    # Path for safetensors
-    unet_path = osp.join(args.model_path, "unet", "diffusion_pytorch_model.safetensors")
-    vae_path = osp.join(args.model_path, "vae", "diffusion_pytorch_model.safetensors")
-    text_enc_path = osp.join(args.model_path, "text_encoder", "model.safetensors")
-    text_enc_2_path = osp.join(args.model_path, "text_encoder_2", "model.safetensors")
-
-    # Load models from safetensors if it exists, if it doesn't pytorch
-    if osp.exists(unet_path):
-        unet_state_dict = load_file(unet_path, device="cpu")
-    else:
-        unet_path = osp.join(args.model_path, "unet", "diffusion_pytorch_model.bin")
-        unet_state_dict = torch.load(unet_path, map_location="cpu")
-
-    if osp.exists(vae_path):
-        vae_state_dict = load_file(vae_path, device="cpu")
-    else:
-        vae_path = osp.join(args.model_path, "vae", "diffusion_pytorch_model.bin")
-        vae_state_dict = torch.load(vae_path, map_location="cpu")
-
-    if osp.exists(text_enc_path):
-        text_enc_dict = load_file(text_enc_path, device="cpu")
-    else:
-        text_enc_path = osp.join(args.model_path, "text_encoder", "pytorch_model.bin")
-        text_enc_dict = torch.load(text_enc_path, map_location="cpu")
-
-    if osp.exists(text_enc_2_path):
-        text_enc_2_dict = load_file(text_enc_2_path, device="cpu")
-    else:
-        text_enc_2_path = osp.join(args.model_path, "text_encoder_2", "pytorch_model.bin")
-        text_enc_2_dict = torch.load(text_enc_2_path, map_location="cpu")
-
-    # Convert the UNet model
-    unet_state_dict = convert_unet_state_dict(unet_state_dict)
-    unet_state_dict = {"model.diffusion_model." + k: v for k, v in unet_state_dict.items()}
-
-    # Convert the VAE model
-    vae_state_dict = convert_vae_state_dict(vae_state_dict)
-    vae_state_dict = {"first_stage_model." + k: v for k, v in vae_state_dict.items()}
-
-    text_enc_dict = convert_openai_text_enc_state_dict(text_enc_dict)
-    text_enc_dict = {"conditioner.embedders.0.transformer." + k: v for k, v in text_enc_dict.items()}
-
-    text_enc_2_dict = convert_openclip_text_enc_state_dict(text_enc_2_dict)
-    text_enc_2_dict = {"conditioner.embedders.1.model." + k: v for k, v in text_enc_2_dict.items()}
-
-    # Put together new checkpoint
-    state_dict = {**unet_state_dict, **vae_state_dict, **text_enc_dict, **text_enc_2_dict}
-
-    if args.half:
-        state_dict = {k: v.half() for k, v in state_dict.items()}
-
-    if args.use_safetensors:
-        save_file(state_dict, args.checkpoint_path)
-    else:
-        state_dict = {"state_dict": state_dict}
-        torch.save(state_dict, args.checkpoint_path)
diff --git a/huggingface_scraper/huggingface/convert_diffusers_to_original_stable_diffusion.py b/huggingface_scraper/huggingface/convert_diffusers_to_original_stable_diffusion.py
deleted file mode 100644
index 9da4521..0000000
--- a/huggingface_scraper/huggingface/convert_diffusers_to_original_stable_diffusion.py
+++ /dev/null
@@ -1,333 +0,0 @@
-# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
-# *Only* converts the UNet, VAE, and Text Encoder.
-# Does not convert optimizer state or any other thing.
-
-import argparse
-import os.path as osp
-import re
-
-import torch
-from safetensors.torch import load_file, save_file
-
-
-# =================#
-# UNet Conversion #
-# =================#
-
-unet_conversion_map = [
-    # (stable-diffusion, HF Diffusers)
-    ("time_embed.0.weight", "time_embedding.linear_1.weight"),
-    ("time_embed.0.bias", "time_embedding.linear_1.bias"),
-    ("time_embed.2.weight", "time_embedding.linear_2.weight"),
-    ("time_embed.2.bias", "time_embedding.linear_2.bias"),
-    ("input_blocks.0.0.weight", "conv_in.weight"),
-    ("input_blocks.0.0.bias", "conv_in.bias"),
-    ("out.0.weight", "conv_norm_out.weight"),
-    ("out.0.bias", "conv_norm_out.bias"),
-    ("out.2.weight", "conv_out.weight"),
-    ("out.2.bias", "conv_out.bias"),
-]
-
-unet_conversion_map_resnet = [
-    # (stable-diffusion, HF Diffusers)
-    ("in_layers.0", "norm1"),
-    ("in_layers.2", "conv1"),
-    ("out_layers.0", "norm2"),
-    ("out_layers.3", "conv2"),
-    ("emb_layers.1", "time_emb_proj"),
-    ("skip_connection", "conv_shortcut"),
-]
-
-unet_conversion_map_layer = []
-# hardcoded number of downblocks and resnets/attentions...
-# would need smarter logic for other networks.
-for i in range(4):
-    # loop over downblocks/upblocks
-
-    for j in range(2):
-        # loop over resnets/attentions for downblocks
-        hf_down_res_prefix = f"down_blocks.{i}.resnets.{j}."
-        sd_down_res_prefix = f"input_blocks.{3*i + j + 1}.0."
-        unet_conversion_map_layer.append((sd_down_res_prefix, hf_down_res_prefix))
-
-        if i < 3:
-            # no attention layers in down_blocks.3
-            hf_down_atn_prefix = f"down_blocks.{i}.attentions.{j}."
-            sd_down_atn_prefix = f"input_blocks.{3*i + j + 1}.1."
-            unet_conversion_map_layer.append((sd_down_atn_prefix, hf_down_atn_prefix))
-
-    for j in range(3):
-        # loop over resnets/attentions for upblocks
-        hf_up_res_prefix = f"up_blocks.{i}.resnets.{j}."
-        sd_up_res_prefix = f"output_blocks.{3*i + j}.0."
-        unet_conversion_map_layer.append((sd_up_res_prefix, hf_up_res_prefix))
-
-        if i > 0:
-            # no attention layers in up_blocks.0
-            hf_up_atn_prefix = f"up_blocks.{i}.attentions.{j}."
-            sd_up_atn_prefix = f"output_blocks.{3*i + j}.1."
-            unet_conversion_map_layer.append((sd_up_atn_prefix, hf_up_atn_prefix))
-
-    if i < 3:
-        # no downsample in down_blocks.3
-        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0.conv."
-        sd_downsample_prefix = f"input_blocks.{3*(i+1)}.0.op."
-        unet_conversion_map_layer.append((sd_downsample_prefix, hf_downsample_prefix))
-
-        # no upsample in up_blocks.3
-        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
-        sd_upsample_prefix = f"output_blocks.{3*i + 2}.{1 if i == 0 else 2}."
-        unet_conversion_map_layer.append((sd_upsample_prefix, hf_upsample_prefix))
-
-hf_mid_atn_prefix = "mid_block.attentions.0."
-sd_mid_atn_prefix = "middle_block.1."
-unet_conversion_map_layer.append((sd_mid_atn_prefix, hf_mid_atn_prefix))
-
-for j in range(2):
-    hf_mid_res_prefix = f"mid_block.resnets.{j}."
-    sd_mid_res_prefix = f"middle_block.{2*j}."
-    unet_conversion_map_layer.append((sd_mid_res_prefix, hf_mid_res_prefix))
-
-
-def convert_unet_state_dict(unet_state_dict):
-    # buyer beware: this is a *brittle* function,
-    # and correct output requires that all of these pieces interact in
-    # the exact order in which I have arranged them.
-    mapping = {k: k for k in unet_state_dict.keys()}
-    for sd_name, hf_name in unet_conversion_map:
-        mapping[hf_name] = sd_name
-    for k, v in mapping.items():
-        if "resnets" in k:
-            for sd_part, hf_part in unet_conversion_map_resnet:
-                v = v.replace(hf_part, sd_part)
-            mapping[k] = v
-    for k, v in mapping.items():
-        for sd_part, hf_part in unet_conversion_map_layer:
-            v = v.replace(hf_part, sd_part)
-        mapping[k] = v
-    new_state_dict = {v: unet_state_dict[k] for k, v in mapping.items()}
-    return new_state_dict
-
-
-# ================#
-# VAE Conversion #
-# ================#
-
-vae_conversion_map = [
-    # (stable-diffusion, HF Diffusers)
-    ("nin_shortcut", "conv_shortcut"),
-    ("norm_out", "conv_norm_out"),
-    ("mid.attn_1.", "mid_block.attentions.0."),
-]
-
-for i in range(4):
-    # down_blocks have two resnets
-    for j in range(2):
-        hf_down_prefix = f"encoder.down_blocks.{i}.resnets.{j}."
-        sd_down_prefix = f"encoder.down.{i}.block.{j}."
-        vae_conversion_map.append((sd_down_prefix, hf_down_prefix))
-
-    if i < 3:
-        hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0."
-        sd_downsample_prefix = f"down.{i}.downsample."
-        vae_conversion_map.append((sd_downsample_prefix, hf_downsample_prefix))
-
-        hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
-        sd_upsample_prefix = f"up.{3-i}.upsample."
-        vae_conversion_map.append((sd_upsample_prefix, hf_upsample_prefix))
-
-    # up_blocks have three resnets
-    # also, up blocks in hf are numbered in reverse from sd
-    for j in range(3):
-        hf_up_prefix = f"decoder.up_blocks.{i}.resnets.{j}."
-        sd_up_prefix = f"decoder.up.{3-i}.block.{j}."
-        vae_conversion_map.append((sd_up_prefix, hf_up_prefix))
-
-# this part accounts for mid blocks in both the encoder and the decoder
-for i in range(2):
-    hf_mid_res_prefix = f"mid_block.resnets.{i}."
-    sd_mid_res_prefix = f"mid.block_{i+1}."
-    vae_conversion_map.append((sd_mid_res_prefix, hf_mid_res_prefix))
-
-
-vae_conversion_map_attn = [
-    # (stable-diffusion, HF Diffusers)
-    ("norm.", "group_norm."),
-    ("q.", "query."),
-    ("k.", "key."),
-    ("v.", "value."),
-    ("proj_out.", "proj_attn."),
-]
-
-
-def reshape_weight_for_sd(w):
-    # convert HF linear weights to SD conv2d weights
-    return w.reshape(*w.shape, 1, 1)
-
-
-def convert_vae_state_dict(vae_state_dict):
-    mapping = {k: k for k in vae_state_dict.keys()}
-    for k, v in mapping.items():
-        for sd_part, hf_part in vae_conversion_map:
-            v = v.replace(hf_part, sd_part)
-        mapping[k] = v
-    for k, v in mapping.items():
-        if "attentions" in k:
-            for sd_part, hf_part in vae_conversion_map_attn:
-                v = v.replace(hf_part, sd_part)
-            mapping[k] = v
-    new_state_dict = {v: vae_state_dict[k] for k, v in mapping.items()}
-    weights_to_convert = ["q", "k", "v", "proj_out"]
-    for k, v in new_state_dict.items():
-        for weight_name in weights_to_convert:
-            if f"mid.attn_1.{weight_name}.weight" in k:
-                print(f"Reshaping {k} for SD format")
-                new_state_dict[k] = reshape_weight_for_sd(v)
-    return new_state_dict
-
-
-# =========================#
-# Text Encoder Conversion #
-# =========================#
-
-
-textenc_conversion_lst = [
-    # (stable-diffusion, HF Diffusers)
-    ("resblocks.", "text_model.encoder.layers."),
-    ("ln_1", "layer_norm1"),
-    ("ln_2", "layer_norm2"),
-    (".c_fc.", ".fc1."),
-    (".c_proj.", ".fc2."),
-    (".attn", ".self_attn"),
-    ("ln_final.", "transformer.text_model.final_layer_norm."),
-    ("token_embedding.weight", "transformer.text_model.embeddings.token_embedding.weight"),
-    ("positional_embedding", "transformer.text_model.embeddings.position_embedding.weight"),
-]
-protected = {re.escape(x[1]): x[0] for x in textenc_conversion_lst}
-textenc_pattern = re.compile("|".join(protected.keys()))
-
-# Ordering is from https://github.com/pytorch/pytorch/blob/master/test/cpp/api/modules.cpp
-code2idx = {"q": 0, "k": 1, "v": 2}
-
-
-def convert_text_enc_state_dict_v20(text_enc_dict):
-    new_state_dict = {}
-    capture_qkv_weight = {}
-    capture_qkv_bias = {}
-    for k, v in text_enc_dict.items():
-        if (
-            k.endswith(".self_attn.q_proj.weight")
-            or k.endswith(".self_attn.k_proj.weight")
-            or k.endswith(".self_attn.v_proj.weight")
-        ):
-            k_pre = k[: -len(".q_proj.weight")]
-            k_code = k[-len("q_proj.weight")]
-            if k_pre not in capture_qkv_weight:
-                capture_qkv_weight[k_pre] = [None, None, None]
-            capture_qkv_weight[k_pre][code2idx[k_code]] = v
-            continue
-
-        if (
-            k.endswith(".self_attn.q_proj.bias")
-            or k.endswith(".self_attn.k_proj.bias")
-            or k.endswith(".self_attn.v_proj.bias")
-        ):
-            k_pre = k[: -len(".q_proj.bias")]
-            k_code = k[-len("q_proj.bias")]
-            if k_pre not in capture_qkv_bias:
-                capture_qkv_bias[k_pre] = [None, None, None]
-            capture_qkv_bias[k_pre][code2idx[k_code]] = v
-            continue
-
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k)
-        new_state_dict[relabelled_key] = v
-
-    for k_pre, tensors in capture_qkv_weight.items():
-        if None in tensors:
-            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
-        new_state_dict[relabelled_key + ".in_proj_weight"] = torch.cat(tensors)
-
-    for k_pre, tensors in capture_qkv_bias.items():
-        if None in tensors:
-            raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing")
-        relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre)
-        new_state_dict[relabelled_key + ".in_proj_bias"] = torch.cat(tensors)
-
-    return new_state_dict
-
-
-def convert_text_enc_state_dict(text_enc_dict):
-    return text_enc_dict
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument("--model_path", default=None, type=str, required=True, help="Path to the model to convert.")
-    parser.add_argument("--checkpoint_path", default=None, type=str, required=True, help="Path to the output model.")
-    parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
-    parser.add_argument(
-        "--use_safetensors", action="store_true", help="Save weights use safetensors, default is ckpt."
-    )
-
-    args = parser.parse_args()
-
-    assert args.model_path is not None, "Must provide a model path!"
-
-    assert args.checkpoint_path is not None, "Must provide a checkpoint path!"
-
-    # Path for safetensors
-    unet_path = osp.join(args.model_path, "unet", "diffusion_pytorch_model.safetensors")
-    vae_path = osp.join(args.model_path, "vae", "diffusion_pytorch_model.safetensors")
-    text_enc_path = osp.join(args.model_path, "text_encoder", "model.safetensors")
-
-    # Load models from safetensors if it exists, if it doesn't pytorch
-    if osp.exists(unet_path):
-        unet_state_dict = load_file(unet_path, device="cpu")
-    else:
-        unet_path = osp.join(args.model_path, "unet", "diffusion_pytorch_model.bin")
-        unet_state_dict = torch.load(unet_path, map_location="cpu")
-
-    if osp.exists(vae_path):
-        vae_state_dict = load_file(vae_path, device="cpu")
-    else:
-        vae_path = osp.join(args.model_path, "vae", "diffusion_pytorch_model.bin")
-        vae_state_dict = torch.load(vae_path, map_location="cpu")
-
-    if osp.exists(text_enc_path):
-        text_enc_dict = load_file(text_enc_path, device="cpu")
-    else:
-        text_enc_path = osp.join(args.model_path, "text_encoder", "pytorch_model.bin")
-        text_enc_dict = torch.load(text_enc_path, map_location="cpu")
-
-    # Convert the UNet model
-    unet_state_dict = convert_unet_state_dict(unet_state_dict)
-    unet_state_dict = {"model.diffusion_model." + k: v for k, v in unet_state_dict.items()}
-
-    # Convert the VAE model
-    vae_state_dict = convert_vae_state_dict(vae_state_dict)
-    vae_state_dict = {"first_stage_model." + k: v for k, v in vae_state_dict.items()}
-
-    # Easiest way to identify v2.0 model seems to be that the text encoder (OpenCLIP) is deeper
-    is_v20_model = "text_model.encoder.layers.22.layer_norm2.bias" in text_enc_dict
-
-    if is_v20_model:
-        # Need to add the tag 'transformer' in advance so we can knock it out from the final layer-norm
-        text_enc_dict = {"transformer." + k: v for k, v in text_enc_dict.items()}
-        text_enc_dict = convert_text_enc_state_dict_v20(text_enc_dict)
-        text_enc_dict = {"cond_stage_model.model." + k: v for k, v in text_enc_dict.items()}
-    else:
-        text_enc_dict = convert_text_enc_state_dict(text_enc_dict)
-        text_enc_dict = {"cond_stage_model.transformer." + k: v for k, v in text_enc_dict.items()}
-
-    # Put together new checkpoint
-    state_dict = {**unet_state_dict, **vae_state_dict, **text_enc_dict}
-    if args.half:
-        state_dict = {k: v.half() for k, v in state_dict.items()}
-
-    if args.use_safetensors:
-        save_file(state_dict, args.checkpoint_path)
-    else:
-        state_dict = {"state_dict": state_dict}
-        torch.save(state_dict, args.checkpoint_path)
diff --git a/huggingface_scraper/huggingface/convert_diffusion.py b/huggingface_scraper/huggingface/convert_diffusion.py
deleted file mode 100644
index b4307e3..0000000
--- a/huggingface_scraper/huggingface/convert_diffusion.py
+++ /dev/null
@@ -1,159 +0,0 @@
-# coding=utf-8
-# Copyright 2023 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Conversion script for the LDM checkpoints. """
-
-import argparse
-
-import torch
-
-from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_from_original_stable_diffusion_ckpt
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "--checkpoint_path", default=None, type=str, required=True, help="Path to the checkpoint to convert."
-    )
-    # !wget https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml
-    parser.add_argument(
-        "--original_config_file",
-        default=None,
-        type=str,
-        help="The YAML config file corresponding to the original architecture.",
-    )
-    parser.add_argument(
-        "--num_in_channels",
-        default=None,
-        type=int,
-        help="The number of input channels. If `None` number of input channels will be automatically inferred.",
-    )
-    parser.add_argument(
-        "--scheduler_type",
-        default="pndm",
-        type=str,
-        help="Type of scheduler to use. Should be one of ['pndm', 'lms', 'ddim', 'euler', 'euler-ancestral', 'dpm']",
-    )
-    parser.add_argument(
-        "--pipeline_type",
-        default=None,
-        type=str,
-        help=(
-            "The pipeline type. One of 'FrozenOpenCLIPEmbedder', 'FrozenCLIPEmbedder', 'PaintByExample'"
-            ". If `None` pipeline will be automatically inferred."
-        ),
-    )
-    parser.add_argument(
-        "--image_size",
-        default=None,
-        type=int,
-        help=(
-            "The image size that the model was trained on. Use 512 for Stable Diffusion v1.X and Stable Siffusion v2"
-            " Base. Use 768 for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--prediction_type",
-        default=None,
-        type=str,
-        help=(
-            "The prediction type that the model was trained on. Use 'epsilon' for Stable Diffusion v1.X and Stable"
-            " Diffusion v2 Base. Use 'v_prediction' for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--extract_ema",
-        action="store_true",
-        help=(
-            "Only relevant for checkpoints that have both EMA and non-EMA weights. Whether to extract the EMA weights"
-            " or not. Defaults to `False`. Add `--extract_ema` to extract the EMA weights. EMA weights usually yield"
-            " higher quality images for inference. Non-EMA weights are usually better to continue fine-tuning."
-        ),
-    )
-    parser.add_argument(
-        "--upcast_attention",
-        action="store_true",
-        help=(
-            "Whether the attention computation should always be upcasted. This is necessary when running stable"
-            " diffusion 2.1."
-        ),
-    )
-    parser.add_argument(
-        "--from_safetensors",
-        action="store_true",
-        help="If `--checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.",
-    )
-    parser.add_argument(
-        "--to_safetensors",
-        action="store_true",
-        help="Whether to store pipeline in safetensors format or not.",
-    )
-    parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
-    parser.add_argument("--device", type=str, help="Device to use (e.g. cpu, cuda:0, cuda:1, etc.)")
-    parser.add_argument(
-        "--stable_unclip",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP model. One of 'txt2img' or 'img2img'.",
-    )
-    parser.add_argument(
-        "--stable_unclip_prior",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP txt2img model. Selects which prior to use. If `--stable_unclip` is set to `txt2img`, the karlo prior (https://huggingface.co/kakaobrain/karlo-v1-alpha/tree/main/prior) is selected by default.",
-    )
-    parser.add_argument(
-        "--clip_stats_path",
-        type=str,
-        help="Path to the clip stats file. Only required if the stable unclip model's config specifies `model.params.noise_aug_config.params.clip_stats_path`.",
-        required=False,
-    )
-    parser.add_argument(
-        "--controlnet",
-        action="store_true",
-        default=None,
-        help="Set flag if this is a controlnet checkpoint."
-    )
-    parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
-    args = parser.parse_args()
-
-    pipe = download_from_original_stable_diffusion_ckpt(
-        checkpoint_path=args.checkpoint_path,
-        original_config_file=args.original_config_file,
-        image_size=args.image_size,
-        prediction_type=args.prediction_type,
-        model_type=args.pipeline_type,
-        extract_ema=args.extract_ema,
-        scheduler_type=args.scheduler_type,
-        num_in_channels=args.num_in_channels,
-        upcast_attention=args.upcast_attention,
-        from_safetensors=args.from_safetensors,
-        device=args.device,
-        stable_unclip=args.stable_unclip,
-        stable_unclip_prior=args.stable_unclip_prior,
-        clip_stats_path=args.clip_stats_path,
-        controlnet=args.controlnet,
-    )
-
-    if args.half:
-        pipe.to(torch_dtype=torch.float16)
-
-    if args.controlnet:
-        # only save the controlnet model
-        pipe.controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
-    else:
-        pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors) 
diff --git a/huggingface_scraper/huggingface/convert_original_stable_diffusion_to_diffusers.py b/huggingface_scraper/huggingface/convert_original_stable_diffusion_to_diffusers.py
deleted file mode 100644
index 2ca7096..0000000
--- a/huggingface_scraper/huggingface/convert_original_stable_diffusion_to_diffusers.py
+++ /dev/null
@@ -1,188 +0,0 @@
-# coding=utf-8
-# Copyright 2023 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Conversion script for the LDM checkpoints. """
-
-import argparse
-import importlib
-
-import torch
-
-from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_from_original_stable_diffusion_ckpt
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "--checkpoint_path", default=None, type=str, required=True, help="Path to the checkpoint to convert."
-    )
-    # !wget https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml
-    parser.add_argument(
-        "--original_config_file",
-        default=None,
-        type=str,
-        help="The YAML config file corresponding to the original architecture.",
-    )
-    parser.add_argument(
-        "--config_files",
-        default=None,
-        type=str,
-        help="The YAML config file corresponding to the architecture.",
-    )
-    parser.add_argument(
-        "--num_in_channels",
-        default=None,
-        type=int,
-        help="The number of input channels. If `None` number of input channels will be automatically inferred.",
-    )
-    parser.add_argument(
-        "--scheduler_type",
-        default="pndm",
-        type=str,
-        help="Type of scheduler to use. Should be one of ['pndm', 'lms', 'ddim', 'euler', 'euler-ancestral', 'dpm']",
-    )
-    parser.add_argument(
-        "--pipeline_type",
-        default=None,
-        type=str,
-        help=(
-            "The pipeline type. One of 'FrozenOpenCLIPEmbedder', 'FrozenCLIPEmbedder', 'PaintByExample'"
-            ". If `None` pipeline will be automatically inferred."
-        ),
-    )
-    parser.add_argument(
-        "--image_size",
-        default=None,
-        type=int,
-        help=(
-            "The image size that the model was trained on. Use 512 for Stable Diffusion v1.X and Stable Siffusion v2"
-            " Base. Use 768 for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--prediction_type",
-        default=None,
-        type=str,
-        help=(
-            "The prediction type that the model was trained on. Use 'epsilon' for Stable Diffusion v1.X and Stable"
-            " Diffusion v2 Base. Use 'v_prediction' for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--extract_ema",
-        action="store_true",
-        help=(
-            "Only relevant for checkpoints that have both EMA and non-EMA weights. Whether to extract the EMA weights"
-            " or not. Defaults to `False`. Add `--extract_ema` to extract the EMA weights. EMA weights usually yield"
-            " higher quality images for inference. Non-EMA weights are usually better to continue fine-tuning."
-        ),
-    )
-    parser.add_argument(
-        "--upcast_attention",
-        action="store_true",
-        help=(
-            "Whether the attention computation should always be upcasted. This is necessary when running stable"
-            " diffusion 2.1."
-        ),
-    )
-    parser.add_argument(
-        "--from_safetensors",
-        action="store_true",
-        help="If `--checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.",
-    )
-    parser.add_argument(
-        "--to_safetensors",
-        action="store_true",
-        help="Whether to store pipeline in safetensors format or not.",
-    )
-    parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
-    parser.add_argument("--device", type=str, help="Device to use (e.g. cpu, cuda:0, cuda:1, etc.)")
-    parser.add_argument(
-        "--stable_unclip",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP model. One of 'txt2img' or 'img2img'.",
-    )
-    parser.add_argument(
-        "--stable_unclip_prior",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP txt2img model. Selects which prior to use. If `--stable_unclip` is set to `txt2img`, the karlo prior (https://huggingface.co/kakaobrain/karlo-v1-alpha/tree/main/prior) is selected by default.",
-    )
-    parser.add_argument(
-        "--clip_stats_path",
-        type=str,
-        help="Path to the clip stats file. Only required if the stable unclip model's config specifies `model.params.noise_aug_config.params.clip_stats_path`.",
-        required=False,
-    )
-    parser.add_argument(
-        "--controlnet", action="store_true", default=None, help="Set flag if this is a controlnet checkpoint."
-    )
-    parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
-    parser.add_argument(
-        "--vae_path",
-        type=str,
-        default=None,
-        required=False,
-        help="Set to a path, hub id to an already converted vae to not convert it again.",
-    )
-    parser.add_argument(
-        "--pipeline_class_name",
-        type=str,
-        default=None,
-        required=False,
-        help="Specify the pipeline class name",
-    )
-
-    args = parser.parse_args()
-
-    if args.pipeline_class_name is not None:
-        library = importlib.import_module("diffusers")
-        class_obj = getattr(library, args.pipeline_class_name)
-        pipeline_class = class_obj
-    else:
-        pipeline_class = None
-
-    pipe = download_from_original_stable_diffusion_ckpt(
-        checkpoint_path_or_dict=args.checkpoint_path,
-        original_config_file=args.original_config_file,
-        config_files=args.config_files,
-        image_size=args.image_size,
-        prediction_type=args.prediction_type,
-        model_type=args.pipeline_type,
-        extract_ema=args.extract_ema,
-        scheduler_type=args.scheduler_type,
-        num_in_channels=args.num_in_channels,
-        upcast_attention=args.upcast_attention,
-        from_safetensors=args.from_safetensors,
-        device=args.device,
-        stable_unclip=args.stable_unclip,
-        stable_unclip_prior=args.stable_unclip_prior,
-        clip_stats_path=args.clip_stats_path,
-        controlnet=args.controlnet,
-        vae_path=args.vae_path,
-        pipeline_class=pipeline_class,
-    )
-
-    if args.half:
-        pipe.to(torch_dtype=torch.float16)
-
-    if args.controlnet:
-        # only save the controlnet model
-        pipe.controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
-    else:
-        pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
diff --git a/huggingface_scraper/huggingface/convert_safetensor_hf.py b/huggingface_scraper/huggingface/convert_safetensor_hf.py
deleted file mode 100644
index a494092..0000000
--- a/huggingface_scraper/huggingface/convert_safetensor_hf.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from diffusers import StableDiffusionPipeline
-import safetensors
-import torch
-import sys 
-
-def main(source_file, output_folder):
-    pipe = StableDiffusionPipeline.from_single_file(
-        source_file,
-    )
-    pipe.save_pretrained(output_folder)
-
-if __name__ == "__main__":
-    main(sys.argv[1], sys.argv[2])
-
diff --git a/huggingface_scraper/huggingface/hf_convert_diffusion.py b/huggingface_scraper/huggingface/hf_convert_diffusion.py
deleted file mode 100644
index b4307e3..0000000
--- a/huggingface_scraper/huggingface/hf_convert_diffusion.py
+++ /dev/null
@@ -1,159 +0,0 @@
-# coding=utf-8
-# Copyright 2023 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Conversion script for the LDM checkpoints. """
-
-import argparse
-
-import torch
-
-from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_from_original_stable_diffusion_ckpt
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "--checkpoint_path", default=None, type=str, required=True, help="Path to the checkpoint to convert."
-    )
-    # !wget https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml
-    parser.add_argument(
-        "--original_config_file",
-        default=None,
-        type=str,
-        help="The YAML config file corresponding to the original architecture.",
-    )
-    parser.add_argument(
-        "--num_in_channels",
-        default=None,
-        type=int,
-        help="The number of input channels. If `None` number of input channels will be automatically inferred.",
-    )
-    parser.add_argument(
-        "--scheduler_type",
-        default="pndm",
-        type=str,
-        help="Type of scheduler to use. Should be one of ['pndm', 'lms', 'ddim', 'euler', 'euler-ancestral', 'dpm']",
-    )
-    parser.add_argument(
-        "--pipeline_type",
-        default=None,
-        type=str,
-        help=(
-            "The pipeline type. One of 'FrozenOpenCLIPEmbedder', 'FrozenCLIPEmbedder', 'PaintByExample'"
-            ". If `None` pipeline will be automatically inferred."
-        ),
-    )
-    parser.add_argument(
-        "--image_size",
-        default=None,
-        type=int,
-        help=(
-            "The image size that the model was trained on. Use 512 for Stable Diffusion v1.X and Stable Siffusion v2"
-            " Base. Use 768 for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--prediction_type",
-        default=None,
-        type=str,
-        help=(
-            "The prediction type that the model was trained on. Use 'epsilon' for Stable Diffusion v1.X and Stable"
-            " Diffusion v2 Base. Use 'v_prediction' for Stable Diffusion v2."
-        ),
-    )
-    parser.add_argument(
-        "--extract_ema",
-        action="store_true",
-        help=(
-            "Only relevant for checkpoints that have both EMA and non-EMA weights. Whether to extract the EMA weights"
-            " or not. Defaults to `False`. Add `--extract_ema` to extract the EMA weights. EMA weights usually yield"
-            " higher quality images for inference. Non-EMA weights are usually better to continue fine-tuning."
-        ),
-    )
-    parser.add_argument(
-        "--upcast_attention",
-        action="store_true",
-        help=(
-            "Whether the attention computation should always be upcasted. This is necessary when running stable"
-            " diffusion 2.1."
-        ),
-    )
-    parser.add_argument(
-        "--from_safetensors",
-        action="store_true",
-        help="If `--checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.",
-    )
-    parser.add_argument(
-        "--to_safetensors",
-        action="store_true",
-        help="Whether to store pipeline in safetensors format or not.",
-    )
-    parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
-    parser.add_argument("--device", type=str, help="Device to use (e.g. cpu, cuda:0, cuda:1, etc.)")
-    parser.add_argument(
-        "--stable_unclip",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP model. One of 'txt2img' or 'img2img'.",
-    )
-    parser.add_argument(
-        "--stable_unclip_prior",
-        type=str,
-        default=None,
-        required=False,
-        help="Set if this is a stable unCLIP txt2img model. Selects which prior to use. If `--stable_unclip` is set to `txt2img`, the karlo prior (https://huggingface.co/kakaobrain/karlo-v1-alpha/tree/main/prior) is selected by default.",
-    )
-    parser.add_argument(
-        "--clip_stats_path",
-        type=str,
-        help="Path to the clip stats file. Only required if the stable unclip model's config specifies `model.params.noise_aug_config.params.clip_stats_path`.",
-        required=False,
-    )
-    parser.add_argument(
-        "--controlnet",
-        action="store_true",
-        default=None,
-        help="Set flag if this is a controlnet checkpoint."
-    )
-    parser.add_argument("--half", action="store_true", help="Save weights in half precision.")
-    args = parser.parse_args()
-
-    pipe = download_from_original_stable_diffusion_ckpt(
-        checkpoint_path=args.checkpoint_path,
-        original_config_file=args.original_config_file,
-        image_size=args.image_size,
-        prediction_type=args.prediction_type,
-        model_type=args.pipeline_type,
-        extract_ema=args.extract_ema,
-        scheduler_type=args.scheduler_type,
-        num_in_channels=args.num_in_channels,
-        upcast_attention=args.upcast_attention,
-        from_safetensors=args.from_safetensors,
-        device=args.device,
-        stable_unclip=args.stable_unclip,
-        stable_unclip_prior=args.stable_unclip_prior,
-        clip_stats_path=args.clip_stats_path,
-        controlnet=args.controlnet,
-    )
-
-    if args.half:
-        pipe.to(torch_dtype=torch.float16)
-
-    if args.controlnet:
-        # only save the controlnet model
-        pipe.controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)
-    else:
-        pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors) 
diff --git a/huggingface_scraper/huggingface/huggingface_hub_upload.py b/huggingface_scraper/huggingface/huggingface_hub_upload.py
deleted file mode 100644
index 21c70be..0000000
--- a/huggingface_scraper/huggingface/huggingface_hub_upload.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from huggingface_hub import HfApi, HfFolder
-import os
-import sys 
-
-
-def upload_folder_to_hf_hub(folder_path, repo_name, hf_username, hf_token, this_organization):
-    """
-    Uploads the contents of a folder to a Hugging Face Hub repository.
-
-    Parameters:
-    folder_path (str): The path to the folder to upload.
-    repo_name (str): The name of the repository on Hugging Face Hub.
-    hf_username (str): Your Hugging Face username.
-    hf_token (str): Your Hugging Face API token.
-    """
-
-    dataset = False
-    buildDir = "/tmp/build/"
-    # Initialize Hugging Face API
-    api = HfApi()
-    HfFolder.save_token(hf_token)
-    # Login to Hugging Face
-    ## find if the repo exists
-    repo_id = hf_username+"/"+repo_name
-    print("repo_id", repo_id)
-    repo_exists = False
-
-    repo_from = ""
-    try:
-        repo = api.model_info(repo_id=repo_id)
-        print("repo", repo)
-        ## try to assign repo_From repo.modelId but catch errors 
-        repo_from = repo.modelId
-        if isinstance(repo_from, str) and len(repo_from) > 0:
-            repo_exists = True
-        else:
-            repo_exists = False
-
-    except Exception:
-        pass
-
-
-    if repo_exists:
-        print(f"Repository {repo_id} already exists")
-        repo_url = " https://huggingface.co/" + repo_id
-
-    else:
-        repo_url = api.create_repo( repo_id=hf_username+"/"+repo_name  , private=False, exist_ok=True, token=hf_token)
-        print(f"Repository URL: {repo_url}")
-
-    if(folder_path.endswith("/")):
-        parentname = os.path.dirname(os.path.dirname(folder_path))
-    else:
-        parentname = os.path.dirname(folder_path)
-    print("parentname", parentname)
-    basename = folder_path.replace(parentname , "")
-    basename = basename.replace("/","")
-    print("basename", basename)
-    folder_path = os.path.join(parentname,basename)
-    print ("folder_path", folder_path)
-
-    ##print(f"Cloning repository {folder_path} ... to {repo_url}")
-    ## check if repo exists in the local folder
-    if os.path.exists(folder_path):
-        print(f"folder {repo_name} already exists")
-        ## check if empty
-        if len(os.listdir(folder_path)) == 0:
-            command_1 = "rm -rf " + folder_path
-            print("Empty repo")
-            print("command_1", command_1)
-            os.system(command_1)
-            os.system("cp -r " + buildDir + "/" + repo_name + "/ " + folder_path )
-            api.upload_folder(
-                folder_path=folder_path,
-                path_in_repo="",  # root of the repo
-                repo_id=repo_id,
-                repo_type="model"
-            )
-        else:
-            if os.path.exists(folder_path + "/.gitignore"):
-                gitIgnore = open(folder_path + "/.gitignore", "r").read().splitlines()[0]
-                print("gitIgnore: ", gitIgnore)
-                api.upload_folder(
-                    folder_path=folder_path,
-                    path_in_repo="",  # root of the repo
-                    repo_id=repo_id,
-                    repo_type="model",
-                    delete_patterns="*",
-                    ignore_patterns="*/*"
-
-                )
-            else:
-                api.upload_folder(
-                    folder_path=folder_path,
-                    path_in_repo="",  # root of the repo
-                    repo_id=repo_id,
-                    repo_type="model"
-                )
-    else:
-        command_3 = "cp -r " + buildDir + "/" + repo_name + "/ " + folder_path
-        print("command_3", command_3)
-        os.system(command_3)
-        api.upload_folder(
-            folder_path=folder_path,
-            path_in_repo="",  # root of the repo
-            repo_id=repo_id,
-            repo_type="model"
-        )
-
-    print(f"Folder '{folder_path}' successfully uploaded to Hugging Face Hub repository '{repo_name}'.")
-
-if __name__ == "__main__":
-    arg1 = sys.argv[1]
-    arg2 = sys.argv[2]
-    arg3 = sys.argv[3]
-    arg4 = sys.argv[4]
-    arg5 = sys.argv[5]
-    upload_folder_to_hf_hub(arg1, arg2, arg3, arg4, arg5)
diff --git a/huggingface_scraper/huggingface/requirements.txt b/huggingface_scraper/huggingface/requirements.txt
deleted file mode 100644
index c255a46..0000000
--- a/huggingface_scraper/huggingface/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-omegaconf 
-diffusers
-git+https://github.com/huggingface/transformers
-hfapi
diff --git a/huggingface_scraper/ipfs.js b/huggingface_scraper/ipfs.js
deleted file mode 100644
index e617ae5..0000000
--- a/huggingface_scraper/ipfs.js
+++ /dev/null
@@ -1,190 +0,0 @@
-import fs from 'fs'
-import path from 'path'
-import child_process, { exec } from 'child_process'
-
-export class ipfsClusterCtl {
-    constructor(){
-        this.pinset = get_pinset()
-        this.exec = {}
-        this.stats = {}
-        this.queue = []
-    }
-
-    main(){
-        return this
-    }
-
-    check_collection(collection){
-        let status = {}
-        let collection_keys = Object.keys(collection)
-        let pinset_keys = Object.keys(this.pinset)
-        let orphan_models = []
-        let orphan_pins = []
-        let active_pins = []
-        let active_models = []
-        for(var i = 0; i < collection_keys.length; i++){
-            let this_model = collection_keys[i]
-            if(this_model != "cache"){
-                let this_manifest = collection[this_model]
-                let this_id = this_manifest.id
-                let this_cache = this_manifest.cache
-                let this_ipfs_cache = this_cache.ipfs
-                let this_ipfs_cache_keys = Object.keys(this_ipfs_cache)
-                let found_all = true
-                for (var j = 0; j < this_ipfs_cache_keys.length ; j++){
-                    let this_cache_basename = this_ipfs_cache_keys[j]
-                    let this_cache_item = this_ipfs_cache[this_cache_basename]
-                    let this_cache_item_path = this_cache_item.path
-                    let this_cache_item_url = this_cache_item.url
-                    if(pinset_keys.includes(this_cache_item_path)){
-                        active_pins.push(this_cache_item_path)
-                    }
-                    else{
-                        found_all = false
-                    }
-                }
-                if (found_all == true){
-                    active_models.push(this_model)
-                }
-                else{
-                    orphan_models.push(this_model)
-                }
-            }
-        }
-
-        for (var i = 0; i < pinset_keys.length; i++){
-            let this_pin = pinset_keys[i]
-            if(active_pins.includes(this_pin)){
-                //pass
-            }   
-            else{
-                orphan_pins.push(this_pin)
-            }
-        }
-
-        status["orphan_models"] = orphan_models
-        status["orphan_pins"] = orphan_pins
-        status["active_pins"] = active_pins
-        status["active_models"] = active_models
-
-        return status
-    }
-
-    execute(args){
-        let command
-        let executable = "ipfs-cluster-ctl "
-
-        let options = ["add", "pin", "unpin", "status", "sync", "pinset"]
-
-        if (args.command == "add"){
-            command = executable + "add " + args.file
-        }
-
-        if (args.command == "pin"){
-            command = executable + "pin add " + args.hash
-        }
-
-        if (args.command == "unpin"){
-            command = executable + "pin rm " + args.hash
-        }
-
-        if (args.command == "status"){
-            command = executable + "status " + args.hash
-        }
-
-        if (args.command == "sync"){
-            command = executable + "sync " + args.hash
-        }
-
-        if (args.command == "pinset"){
-            command = executable + "pin ls " + args.hash
-        }
-
-        if (options.includes(args.command)){
-            this.exec = command
-            child_process.execSync(command, (error, stdout, stderr) => {
-                    if (error) {
-                        console.log(`error: ${error.message}`);
-                        return;
-                    }
-                    if (stderr) {
-                        console.log(`stderr: ${stderr}`);
-                        return;
-                    }
-                    console.log(`stdout: ${stdout}`);
-                }
-            )
-            return this
-        }
-        else{
-            console.log("command not found")
-            return this
-        }
-    }
-
-}
-
-
-
-export function get_pinset(){
-
-    let pinset_file = "/tmp/build/ipfs_pinset.txt"
-    let pinset_file_mtime = 0
-    if(fs.existsSync(pinset_file)){
-        pinset_file_mtime = fs.statSync(pinset_file).mtimeMs
-    }
-    let now = Date.now()
-    let ten_minutes_ago  = now - 600000
-
-    let command = "ipfs-cluster-ctl pin ls > /tmp/build/ipfs_pinset.txt"
-    let results
-    try{
-        if(pinset_file_mtime < ten_minutes_ago){
-            results = child_process.execSync(command)
-        }
-        results = fs.readFileSync("/tmp/build/ipfs_pinset.txt")
-        //let command_2 = "rm /tmp/build/ipfs_pinset.txt"
-        //let results_2 = child_process.execSync(command_2)
-    }
-    catch(error){
-        console.log("command failed")
-        console.log(command)
-        console.log(error)
-    }
-    finally{
-        results = results.toString().split("\n")
-        let results_matrix = []
-        let results_dict = {}
-        for(var i = 0; i < results.length; i++){
-            results_matrix.push(results[i].split(" | "))
-        }
-        for(var i = 0; i < results_matrix.length; i++){
-            let this_line = results_matrix[i]
-            if(this_line.length > 8){
-                let ipfs_url = this_line[0].replace(" ","")
-                let unknown_value = this_line[1]
-                let pin = this_line[2].replace(" ","")
-                let repl_factor = parseFloat(this_line[3].split(":")[1].replace(" ","").replace(" ",""))
-                let allocations = this_line[4].split(":")[1].replace(" ","").replace(" ","")
-                let recursive = this_line[5].includes("Recursive")
-                let metadata = this_line[6].split(":")[1].replace(" ","").replace(" ","")
-                let expiration = this_line[7].split(":")[1].replace(" ","").replace(" ","")
-                let added = this_line[8].split(":")[1].replace(" ","")+ ":" + this_line[8].split(":")[2 ].replace(" ","")
-
-                results_dict[ipfs_url] = {
-                    "unknown_value": unknown_value,
-                    "repl_factor": repl_factor,
-                    "allocations": allocations,
-                    "recursive": recursive,
-                    "metadata": metadata,
-                    "expiration": expiration,
-                    "added": added
-                }
-            }
-        }
-
-        return results_dict
-    }
-    
-}
-
diff --git a/huggingface_scraper/ipfs_kit.js b/huggingface_scraper/ipfs_kit.js
deleted file mode 100644
index 4fd19fc..0000000
--- a/huggingface_scraper/ipfs_kit.js
+++ /dev/null
@@ -1,700 +0,0 @@
-import path from 'path';
-import * as install_ipfs from './ipfs_kit_lib/install_ipfs.js';
-import * as ipfs from './ipfs_kit_lib/ipfs.js';
-import * as IpfsClusterCtl from './ipfs_kit_lib/ipfs_cluster_ctl.js';
-import * as IpfsClusterService from './ipfs_kit_lib/ipfs_cluster_service.js';
-import * as IpfsClusterFollow from './ipfs_kit_lib/ipfs_cluster_follow.js';
-import * as ipget from './ipfs_kit_lib/ipget.js';
-import fs from 'fs';
-import util from 'util';
-import { promisify } from 'util';
-import { promises as fsPromises } from 'fs';
-import os from 'os';
-import { exec, execSync } from 'child_process';
-
-
-export class IpfsKit {
-    constructor(resources, meta) {
-        this.role = null;
-        this.ipfsGetConfig = this.ipfsGetConfig;
-        this.ipfsSetConfig = this.ipfsSetConfig;
-        this.ipfsGetConfigValue = this.ipfsGetConfigValue;
-        this.ipfsSetConfigValue = this.ipfsSetConfigValue;
-        this.testInstall = this.testInstall;
-        this.ipfsGet = this.ipgetDownloadObject;
-        if (meta !== null) {
-            if ('config' in meta && meta['config'] !== null) {
-                this.config = meta['config'];
-            }
-            if ('role' in meta && meta['role'] !== null) {
-                this.role = meta['role'];
-                if (!['master', 'worker', 'leecher'].includes(this.role)) {
-                    this.role = 'leecher';
-                }
-            }
-            if ('cluster_name' in meta && meta['cluster_name'] !== null) {
-                this.clusterName = meta['cluster_name'];
-            }
-            if ('ipfs_path' in meta && meta['ipfs_path'] !== null) {
-                this.ipfsPath = meta['ipfs_path'];
-            }
-            if (['leecher', 'worker', 'master'].includes(this.role)) {
-                this.ipfs = new ipfs.ipfs(resources, meta);
-                this.ipget = new ipget.ipget(resources, meta);
-            }
-            if (this.role === 'worker') {
-                this.ipfsClusterFollow = new IpfsClusterFollow.IPFSClusterFollow(resources, meta);
-            }
-            if (this.role === 'master') {
-                this.ipfsClusterCtl = new IpfsClusterCtl.IPFSClusterCtl(resources, meta);
-                this.ipfsClusterService = new IpfsClusterService.IpfsClusterService(resources, meta);
-            }
-        }
-        else{
-            this.role = 'leecher';
-            this.cluster_name = null;
-        }
-        let installIpfs = new install_ipfs.InstallIPFS(resources, meta);
-        this.installIpfs = installIpfs;
-
-    }
-
-    call(method, kwargs = {}) {
-        switch (method) {
-            case "ipfs_kit_stop":
-                return this.ipfsKitStop(kwargs);
-            case "ipfs_kit_start":
-                return this.ipfsKitStart(kwargs);
-            case "ipfs_kit_ready":
-                return this.ipfsKitReady(kwargs);
-            case "ipfs_get_pinset":
-                return this.ipfs.ipfsGetPinset(kwargs);
-            case "ipfs_follow_list":
-                if (this.role !== "master") {
-                    return this.ipfsClusterCtl.ipfsFollowList(kwargs);
-                } else {
-                    throw new Error("role is not master");
-                }
-            case "ipfs_follow_ls":
-                if (this.role !== "master") {
-                    return this.ipfsClusterFollow.ipfsFollowLs(kwargs);
-                } else {
-                    throw new Error("role is not master");
-                }
-            case "ipfs_follow_info":
-                if (this.role !== "master") {
-                    return this.ipfsClusterFollow.ipfsFollowInfo(kwargs);
-                } else {
-                    throw new Error("role is not master");
-                }
-            case "ipfs_cluster_get_pinset":
-                return this.ipfsClusterGetPinset(kwargs);
-            case "ipfs_ls_pinset":
-                return this.ipfs.ipfsLsPinset(kwargs);
-            case "ipfs_cluster_ctl_add_pin":
-                if (this.role === "master") {
-                    return this.ipfsClusterCtl.ipfsClusterCtlAddPin(kwargs);
-                } else {
-                    throw new Error("role is not master");
-                }
-            case "ipfs_cluster_ctl_rm_pin":
-                if (this.role === "master") {
-                    return this.ipfsClusterCtl.ipfsClusterCtlRmPin(kwargs);
-                } else {
-                    throw new Error("role is not master");
-                }
-            case "ipfs_add_pin":
-                return this.ipfs.ipfsAddPin(kwargs);
-            case "ipts_ls_pin":
-                return this.ipfs.ipfsLsPin(kwargs);
-            case "ipfs_remove_pin":
-                return this.ipfs.ipfsRemovePin(kwargs);
-            case "ipfs_get":
-                return this.ipfs.ipfsGet(kwargs);
-            case "ipget_download_object":
-                this.method = 'download_object';
-                return this.ipget.ipgetDownloadObject(kwargs);
-            case "ipfs_upload_object":
-                this.method = 'ipfs_upload_object';
-                return this.ipfs.ipfsUploadObject(kwargs);
-            case "loadCollection":
-                return this.loadCollection(kwargs);
-            default:
-                return;
-        }
-    }
-
-    ipfsKitReady(kwargs = {}) {
-        let cluster_name;
-        if (kwargs.cluster_name) {
-            cluster_name = kwargs.cluster_name;
-        } else if (this.clusterName !== null) {
-            cluster_name = this.clusterName;
-        } else if (this.role !== "leecher") {
-            throw new Error("cluster_name is not defined");
-        }
-    
-        let ready = false;
-        let ipfs_ready = false;
-        let ipfs_cluster_ready = false;
-    
-        const command1 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-        const execute1 = execSync(command1, (error, stdout, stderr) => {
-            if (error) {
-                console.log("command failed " + error);
-                reject(error);
-            } else {
-                resolve(stdout.trim());
-            }
-        }).toString().trim();
-    
-        if (parseInt(execute1) > 0) {
-            ipfs_ready = true;
-        }
-    
-        if (this.role === "master") {
-            return this.ipfsClusterService.ipfsClusterServiceReady();
-        } 
-        else if (this.role === "worker") {
-            const data_ipfs_follow = this.ipfsClusterFollow.ipfsFollowInfo();
-            if (data_ipfs_follow.cluster_peer_online && data_ipfs_follow.ipfs_peer_online) {
-                if (data_ipfs_follow.cluster_name === cluster_name) {
-                    if (data_ipfs_follow.cluster_peer_online === 'true' && data_ipfs_follow.ipfs_peer_online === 'true') {
-                        ipfs_cluster_ready = true;
-                    }
-                }
-            }
-        }
-    
-        if (this.role === "leecher" && ipfs_ready) {
-            ready = true;
-        } else if (this.role !== "leecher" && ipfs_ready && ipfs_cluster_ready) {
-            this.ipfsFollowInfo = data_ipfs_follow;
-            ready = true;
-        } else {
-            ready = {
-                "ipfs": ipfs_ready,
-                "ipfs_cluster": ipfs_cluster_ready
-            };
-        }
-    
-        return ready;
-    }
-
-
-    async loadCollection(cid, kwargs = {}) {
-        if (!cid) {
-            throw new Error("collection is None");
-        }
-
-        let dstPath;
-        if (kwargs.path) {
-            dstPath = kwargs.path;
-        } else {
-            dstPath = this.ipfsPath;
-            if (!fs.existsSync(dstPath)) {
-                await mkdir(dstPath);
-            }
-            dstPath = path.join(dstPath, "pins");
-            if (!fs.existsSync(dstPath)) {
-                await mkdir(dstPath);
-            }
-            dstPath = path.join(dstPath, cid);
-        }
-
-        let ipget;
-        try {
-            ipget = await this.ipget.ipgetDownloadObject({cid: cid, path: dstPath});
-        } catch (e) {
-            ipget = e.toString();
-        }
-
-        let collection = await readFile(dstPath, 'utf8');
-
-        try {
-            let collectionJson = JSON.parse(collection);
-            collection = collectionJson;
-        } catch (e) {
-            collectionJson = e;
-        }
-
-        return collection;
-    }
-
-
-    async ipfsAddPin(pin, kwargs = {}) {
-        let dstPath;
-        if (kwargs.path) {
-            dstPath = kwargs.path;
-        } else {
-            dstPath = this.ipfsPath;
-            if (!fs.existsSync(dstPath)) {
-                await mkdir(dstPath);
-            }
-            dstPath = path.join(dstPath, "pins");
-            if (!fs.existsSync(dstPath)) {
-                await mkdir(dstPath);
-            }
-            dstPath = path.join(dstPath, pin);
-        }
-
-        let ipget;
-        try {
-            ipget = await this.ipget.ipgetDownloadObject({cid: pin, path: dstPath});
-        } catch (e) {
-            ipget = e.toString();
-        }
-
-        let result1 = null;
-        let result2 = null;
-        if (this.role === "master") {
-            result1 = await this.ipfsClusterCtl.ipfsClusterCtlAddPin(dstPath, kwargs);
-            result2 = await this.ipfs.ipfsAddPin(pin, kwargs);
-        } else if (this.role === "worker" || this.role === "leecher") {
-            result2 = await this.ipfs.ipfsAddPin(pin, kwargs);
-        }
-
-        let results = {
-            "ipfs_cluster_ctl_add_pin": result1,
-            "ipfs_add_pin": result2
-        };
-
-        return results;
-    }
-
-
-    async ipfsAddPath(path, kwargs = {}) {
-        let result1 = null;
-        let result2 = null;
-        if (this.role === "master") {
-            result2 = await this.ipfs.ipfsAddPath(path, kwargs);
-            result1 = await this.ipfsClusterCtl.ipfsClusterCtlAddPath(path, kwargs);
-        } else if (this.role === "worker" || this.role === "leecher") {
-            result2 = await this.ipfs.ipfsAddPath(path, kwargs);
-        }
-    
-        let results = {
-            "ipfs_cluster_ctl_add_path": result1,
-            "ipfs_add_path": result2
-        };
-    
-        return results;
-    }
-    
-    async ipfsLsPath(path, kwargs = {}) {
-        let result1 = await this.ipfs.ipfsLsPath(path, kwargs);
-        result1 = result1.filter(item => item !== "");
-    
-        let results = {
-            "ipfs_ls_path": result1
-        };
-    
-        return results;
-    }
-
-    async nameResolve(kwargs = {}) {
-        let result1 = await this.ipfs.ipfsNameResolve(kwargs);
-        let results = {
-            "ipfs_name_resolve": result1
-        };
-        return results;
-    }
-    
-    async namePublish(path, kwargs = {}) {
-        let result1 = await this.ipfs.ipfsNamePublish(path, kwargs);
-        let results = {
-            "ipfs_name_publish": result1
-        };
-        return results;
-    }
-    
-    async ipfsRemovePath(path, kwargs = {}) {
-        let ipfsClusterPath = null;
-        let ipfsPins = null;
-        let ipfsClusterPins = null;
-        let result1 = null;
-        let result2 = null;
-        if (this.role === "master") {
-            result1 = await this.ipfsClusterCtl.ipfsClusterCtlRemovePath(path, kwargs);
-            result2 = await this.ipfs.ipfsRemovePath(path, kwargs);
-        } else if (this.role === "worker" || this.role === "leecher") {
-            result2 = await this.ipfs.ipfsRemovePath(path, kwargs);
-        }
-    
-        let results = {
-            "ipfs_cluster_ctl_rm_path": result1,
-            "ipfs_rm_path": result2
-        };
-        return results;
-    }
-
-    async ipfsRemovePin(pin, kwargs = {}) {
-        let result1 = null;
-        let result2 = null;
-        if (this.role === "master") {
-            result1 = await this.ipfsClusterCtl.ipfsClusterCtlRemovePin(pin, kwargs);
-            result2 = await this.ipfs.ipfsRemovePin(pin, kwargs);
-        } else if (this.role === "worker" || this.role === "leecher") {
-            result2 = await this.ipfs.ipfsRemovePin(pin, kwargs);
-        }
-    
-        let results = {
-            "ipfs_cluster_ctl_rm_pin": result1,
-            "ipfs_rm_pin": result2
-        };
-        return results;
-    }
-    
-    async testInstall(kwargs = {}) {
-        if (this.role === "master") {
-            return {
-                "ipfs_cluster_service": await this.installIpfs.ipfsClusterServiceTestInstall(),
-                "ipfs_cluster_ctl": await this.installIpfs.ipfsClusterCtlTestInstall(),
-                "ipfs": await this.installIpfs.ipfsTestInstall()
-            };
-        } else if (this.role === "worker") {
-            return {
-                "ipfs_cluster_follow": await this.installIpfs.ipfsClusterFollowTestInstall(),
-                "ipfs": await this.installIpfs.ipfsTestInstall()
-            };
-        } else if (this.role === "leecher") {
-            return await this.installIpfs.ipfsTestInstall();
-        } else {
-            throw new Error("role is not master, worker, or leecher");
-        }
-    }
-    
-    async ipfsGetPinset(kwargs = {}) {
-        let ipfsPinset = await this.ipfs.ipfsGetPinset(kwargs);
-    
-        let ipfsCluster = null;
-        if (this.role === "master") {
-            ipfsCluster = await this.ipfsClusterCtl.ipfsClusterGetPinset(kwargs);
-        } else if (this.role === "worker") {
-            ipfsCluster = await this.ipfsClusterFollow.ipfsFollowList(kwargs);
-        } else if (this.role === "leecher") {
-            // do nothing
-        }
-    
-        let results = {
-            "ipfs_cluster": ipfsCluster,
-            "ipfs": ipfsPinset
-        };
-        return results;
-    }
-
-    async ipfsKitStop(kwargs = {}) {
-        let ipfsClusterService = null;
-        let ipfsClusterFollow = null;
-        let ipfs = null;
-    
-        if (this.role === "master") {
-            try {
-                ipfsClusterService = await this.ipfsClusterService.ipfs_cluster_service_stop();
-            } catch (e) {
-                console.log(e)
-                ipfsClusterService = e.toString();
-            }
-            try {
-                ipfs = await this.ipfs.daemon_stop();
-            } catch (e) {
-                console.log(e)
-                ipfs = e.toString();
-            }
-        }
-        if (this.role === "worker") {
-            try {
-                ipfsClusterFollow = await this.ipfsClusterFollow.ipfsFollowStop();
-            } catch (e) {
-                console.log(e);
-                ipfsClusterFollow = e.toString();
-            }
-            try {
-                ipfs = await this.ipfs.daemon_stop();
-            } catch (e) {
-                console.log(e);
-                ipfs = e.toString();
-            }
-        }
-        if (this.role === "leecher") {
-            try {
-                ipfs = await this.ipfs.daemon_stop();
-            } catch (e) {
-                console.log(e);
-                ipfs = e.toString();
-            }
-        }
-    
-        let results = {
-            "ipfs_cluster_service": ipfsClusterService,
-            "ipfs_cluster_follow": ipfsClusterFollow,
-            "ipfs": ipfs
-        };
-        return results;
-    }
-    
-    async ipfsKitStart(kwargs = {}) {
-        let ipfsClusterService = null;
-        let ipfsClusterFollow = null;
-        let ipfs = null;
-    
-        if (this.role === "master") {
-            try {
-                ipfs = await this.ipfs.daemon_start();
-            } catch (e) {
-                console.log(e)
-                ipfs = e.toString();
-            }
-            try {
-                ipfsClusterService = await this.ipfsClusterService.ipfs_cluster_service_start();
-            } catch (e) {
-                ipfsClusterService = e.toString();
-            }
-        }
-
-        if (this.role === "worker") {
-            try {
-                ipfs = this.ipfs.daemon_start();
-            } catch (e) {
-                console.log(e);
-                ipfs = e.toString();
-            }
-            try {
-                ipfsClusterFollow = await this.ipfsClusterFollow.ipfsFollowStart();
-            } catch (e) {
-                console.log(e);
-                ipfsClusterFollow = e.toString();
-            }
-        }
-
-        if (this.role === "leecher") {
-            try {
-                ipfs = await this.ipfs.daemon_start();
-            } catch (e) {
-                console.log(e);
-                ipfs = e.toString();
-            }
-        }
-    
-        let results = {
-            "ipfs_cluster_service": ipfsClusterService,
-            "ipfs_cluster_follow": ipfsClusterFollow,
-            "ipfs": ipfs
-        };
-        return results;
-    }
-
-    async ipfsGetConfig(kwargs = {}) {
-        const command = "ipfs config show";
-        let results = "";
-
-        try {
-            const { stdout } = await exec(command);
-            results = JSON.parse(stdout);
-        } catch (error) {
-            console.log("command failed");
-            console.log(command);
-            console.log(error);
-        } finally {
-            this.ipfsConfig = results;
-        }
-
-        return results;
-    }
-
-    async ipfsSetConfig(newConfig, kwargs = {}) {
-        const filename = path.join(os.tmpdir(), `${Date.now()}.json`);
-        fs.writeFileSync(filename, JSON.stringify(newConfig));
-
-        const command = "ipfs config replace " + filename;
-        let results = "";
-
-        try {
-            const { stdout } = await exec(command);
-            results = JSON.parse(stdout);
-        } catch (error) {
-            console.log("command failed");
-            console.log(command);
-            console.log(error);
-        } finally {
-            this.ipfsConfig = results;
-        }
-
-        return results;
-    }   
-    
-    async ipfsGetConfigValue(key, kwargs = {}) {
-        let command = null;
-        let results = null;
-
-        try {
-            command = await this.ipfsExecute({
-                "command": "config",
-                "key": key
-            });
-            results = JSON.parse(command);
-        } catch (error) {
-            console.log("command failed");
-            console.log(command);
-            console.log(error);
-        }
-
-        const query = "ipfs config " + key;
-
-        try {
-            const { stdout } = await exec(query);
-            results = JSON.parse(stdout);
-        } catch (error) {
-            console.log("command failed");
-            console.log(query);
-            console.log(error);
-            throw new Error("command failed");
-        }
-
-        return results;
-    }
-
-    async ipfsSetConfigValue(key, value, kwargs = {}) {
-        let command = null;
-        let results = null;
-
-        try {
-            command = await this.ipfsExecute({
-                "command": "config",
-                "key": key,
-                "value": value
-            });
-            results = JSON.parse(command);
-        } catch (error) {
-            console.log("command failed");
-            console.log(command);
-            console.log(error);
-        }
-
-        const query = "ipfs config " + key + " " + value;
-
-        try {
-            const { stdout } = await exec(query);
-            results = JSON.parse(stdout);
-        } catch (error) {
-            console.log("command failed");
-            console.log(query);
-            console.log(error);
-            throw new Error("command failed");
-        }
-    
-            return results;
-        }
-    
-
-
-    checkCollection(collection) {
-        let status = {};
-        let collectionKeys = Object.keys(collection);
-        let pinsetKeys = Object.keys(this.pinset);
-        let orphanModels = [];
-        let orphanPins = [];
-        let activePins = [];
-        let activeModels = [];
-
-        for (let thisModel of collectionKeys) {
-            if (thisModel !== "cache") {
-                let thisManifest = collection[thisModel];
-                let thisId = thisManifest["id"];
-                let thisCache = thisManifest["cache"];
-                let thisIpfsCache = thisCache["ipfs"];
-                let thisIpfsCacheKeys = Object.keys(thisIpfsCache);
-                let foundAll = true;
-
-                for (let thisCacheBasename of thisIpfsCacheKeys) {
-                    let thisCacheItem = thisIpfsCache[thisCacheBasename];
-                    let thisCacheItemPath = thisCacheItem["path"];
-                    let thisCacheItemUrl = thisCacheItem["url"];
-
-                    if (pinsetKeys.includes(thisCacheItemPath)) {
-                        activePins.push(thisCacheItemPath);
-                    } else {
-                        foundAll = false;
-                    }
-                }
-
-                if (foundAll) {
-                    activeModels.push(thisModel);
-                } else {
-                    orphanModels.push(thisModel);
-                }
-            }
-        }
-
-        for (let thisPin of pinsetKeys) {
-            if (!activePins.includes(thisPin)) {
-                orphanPins.push(thisPin);
-            }
-        }
-
-        status["orphanModels"] = orphanModels;
-        status["orphanPins"] = orphanPins;
-        status["activePins"] = activePins;
-        status["activeModels"] = activeModels;
-
-        return status;
-    }
-    
-    
-
-
-    async ipfsUploadObject(kwargs) {
-        return this.uploadObject(kwargs['file']);
-    }
-
-    async ipgetDownloadObject(kwargs) {
-        return this.ipget.ipgetDownloadObject(kwargs);
-    }
-
-    async updateCollectionIpfs(collection, collectionPath) {
-        let thisCollectionIpfs = null;
-        let thisCollectionPath = collectionPath;
-
-        const command1 = "ipfs add -r " + thisCollectionPath;
-        try {
-            const { stdout: results1 } = await exec(command1);
-            const resultsMatrix = results1.split("\n").map(line => line.split(" "));
-
-            if (resultsMatrix.length === 2) {
-                thisCollectionIpfs = resultsMatrix[resultsMatrix.length - 2][1];
-            }
-
-            const metadata = ["path=/collection.json"];
-            let argstring = "";
-            for (let i = 0; i < metadata.length; i++) {
-                argstring += " --metadata " + metadata[i];
-            }
-
-            const command2 = "ipfs-cluster-ctl pin add " + thisCollectionIpfs + argstring;
-            const { stdout: results2 } = await exec(command2);
-
-            if ("cache" in collection) {
-                collection["cache"]["ipfs"] = thisCollectionIpfs;
-            } else {
-                collection["cache"] = {};
-                collection["cache"]["ipfs"] = thisCollectionIpfs;
-            }
-            return thisCollectionIpfs;
-        
-        } catch (error) {
-            console.log("ipfs add failed");
-            console.log(command1);
-            console.log(error);
-        }
-    }
-
-}
-
-
-async function main() {
-    const ipfs = new IpfsKit(null, null);
-    const results = await ipfs.testInstall();
-    console.log(results);
-}
-
-main();
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/cluster.lock b/huggingface_scraper/ipfs_kit_lib/cluster.lock
deleted file mode 100755
index e69de29..0000000
diff --git a/huggingface_scraper/ipfs_kit_lib/config b/huggingface_scraper/ipfs_kit_lib/config
deleted file mode 100755
index ef35452..0000000
--- a/huggingface_scraper/ipfs_kit_lib/config
+++ /dev/null
@@ -1,147 +0,0 @@
-{
-  "API": {
-    "HTTPHeaders": {}
-  },
-  "Addresses": {
-    "API": "/ip4/127.0.0.1/tcp/5001",
-    "Announce": [],
-    "AppendAnnounce": [],
-    "Gateway": "/ip4/127.0.0.1/tcp/8080",
-    "NoAnnounce": [],
-    "Swarm": [
-      "/ip4/0.0.0.0/tcp/4001",
-      "/ip6/::/tcp/4001",
-      "/ip4/0.0.0.0/udp/4001/quic-v1",
-      "/ip4/0.0.0.0/udp/4001/quic-v1/webtransport",
-      "/ip6/::/udp/4001/quic-v1",
-      "/ip6/::/udp/4001/quic-v1/webtransport"
-    ]
-  },
-  "AutoNAT": {},
-  "Bootstrap": [
-    "/ip4/104.131.131.82/tcp/4001/p2p/QmaCpDMGvV2BGHeYERUEnRQAwe3N8SzbUtfsmvsqQLuvuJ",
-    "/ip4/104.131.131.82/udp/4001/quic-v1/p2p/QmaCpDMGvV2BGHeYERUEnRQAwe3N8SzbUtfsmvsqQLuvuJ",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmNnooDu7bfjPFoTZYxMNLWUQJyrVwtbZg5gBMjTezGAJN",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmQCU2EcMqAqQPR2i9bChDtGNJchTbq5TbXJJ16u19uLTa",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmbLHAnMoJPWSCR5Zhtx6BHJX9KiKNN6tpvbUcqanj75Nb",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmcZf59bWwK5XFi76CZX8cbJ4BhTzzA3gU1ZjYZcYW3dwt"
-  ],
-  "DNS": {
-    "Resolvers": {}
-  },
-  "Datastore": {
-    "BloomFilterSize": 0,
-    "GCPeriod": "1h",
-    "HashOnRead": false,
-    "Spec": {
-      "mounts": [
-        {
-          "child": {
-            "path": "blocks",
-            "shardFunc": "/repo/flatfs/shard/v1/next-to-last/2",
-            "sync": true,
-            "type": "flatfs"
-          },
-          "mountpoint": "/blocks",
-          "prefix": "flatfs.datastore",
-          "type": "measure"
-        },
-        {
-          "child": {
-            "compression": "none",
-            "path": "datastore",
-            "type": "levelds"
-          },
-          "mountpoint": "/",
-          "prefix": "leveldb.datastore",
-          "type": "measure"
-        }
-      ],
-      "type": "mount"
-    },
-    "StorageGCWatermark": 90,
-    "StorageMax": "10GB"
-  },
-  "Discovery": {
-    "MDNS": {
-      "Enabled": true
-    }
-  },
-  "Experimental": {
-    "FilestoreEnabled": false,
-    "GraphsyncEnabled": false,
-    "Libp2pStreamMounting": false,
-    "OptimisticProvide": false,
-    "OptimisticProvideJobsPoolSize": 0,
-    "P2pHttpProxy": false,
-    "StrategicProviding": false,
-    "UrlstoreEnabled": false
-  },
-  "Gateway": {
-    "APICommands": [],
-    "DeserializedResponses": null,
-    "DisableHTMLErrors": null,
-    "ExposeRoutingAPI": null,
-    "HTTPHeaders": {},
-    "NoDNSLink": false,
-    "NoFetch": false,
-    "PathPrefixes": [],
-    "PublicGateways": null,
-    "RootRedirect": ""
-  },
-  "Identity": {
-    "PeerID": "12D3KooWMMVhBAXPGt5QsgYyNNfpoobV6ZfMwJV4j6qsqQkGctis",
-    "PrivKey": "CAESQKjZx7ETZ/wbHmoBhAexrAg3m0rsC5DPzH07UgFmldotq2oRx/UN4JXlIBz17kWUaIw2+EbddLMGV/SJTlO9brA="
-  },
-  "Internal": {},
-  "Ipns": {
-    "RecordLifetime": "",
-    "RepublishPeriod": "",
-    "ResolveCacheSize": 128
-  },
-  "Migration": {
-    "DownloadSources": [],
-    "Keep": ""
-  },
-  "Mounts": {
-    "FuseAllowOther": false,
-    "IPFS": "/ipfs",
-    "IPNS": "/ipns"
-  },
-  "Peering": {
-    "Peers": null
-  },
-  "Pinning": {
-    "RemoteServices": {}
-  },
-  "Plugins": {
-    "Plugins": null
-  },
-  "Provider": {
-    "Strategy": ""
-  },
-  "Pubsub": {
-    "DisableSigning": false,
-    "Router": ""
-  },
-  "Reprovider": {},
-  "Routing": {
-    "AcceleratedDHTClient": false,
-    "Methods": null,
-    "Routers": null
-  },
-  "Swarm": {
-    "AddrFilters": null,
-    "ConnMgr": {},
-    "DisableBandwidthMetrics": false,
-    "DisableNatPortMap": false,
-    "RelayClient": {},
-    "RelayService": {},
-    "ResourceMgr": {},
-    "Transports": {
-      "Multiplexers": {},
-      "Network": {},
-      "Security": {}
-    }
-  }
-}
diff --git a/huggingface_scraper/ipfs_kit_lib/datastore_spec b/huggingface_scraper/ipfs_kit_lib/datastore_spec
deleted file mode 100644
index 7bf9626..0000000
--- a/huggingface_scraper/ipfs_kit_lib/datastore_spec
+++ /dev/null
@@ -1 +0,0 @@
-{"mounts":[{"mountpoint":"/blocks","path":"blocks","shardFunc":"/repo/flatfs/shard/v1/next-to-last/2","type":"flatfs"},{"mountpoint":"/","path":"datastore","type":"levelds"}],"type":"mount"}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/identity.json b/huggingface_scraper/ipfs_kit_lib/identity.json
deleted file mode 100755
index 8488599..0000000
--- a/huggingface_scraper/ipfs_kit_lib/identity.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-    "id": "12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME",
-    "private_key": "CAESQCdeFjj9HSI9+LDwsHA84hhfKj7GoLVWTL3yD6FWUqCXQSi7xqLG+6V+9ROfWtlfs3wR8UsuifuWSVoSHkfaPnE="
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/install_ipfs.js b/huggingface_scraper/ipfs_kit_lib/install_ipfs.js
deleted file mode 100644
index 7a58796..0000000
--- a/huggingface_scraper/ipfs_kit_lib/install_ipfs.js
+++ /dev/null
@@ -1,1184 +0,0 @@
-
-import { execSync, exec } from 'child_process';
-import fs from 'fs';
-import os from 'os';
-import path from 'path';
-import * as test_fio from './test_fio.js';
-import util from 'util';
-import process from 'process';
-import { ChildProcess } from 'child_process';
-import { spawnSync } from 'child_process';
-import { spawn } from 'child_process';
-import { run } from 'shutil';
-import { randomUUID } from 'crypto';
-import crypto from 'crypto';
-
-// TODO: This fails if aria2c is not installed but doesn't fail gracefully and in a way that diagnoses the problem to the user 
-//       Either add a check for aria2c and report to user or add aria2c to the install that is ran before hand
-
-export class InstallIPFS {
-    constructor(resources, meta = null) {
-        this.resources = resources;
-        this.meta = meta;
-        this.thisDir = path.dirname(new URL(import.meta.url).pathname);
-        this.ipfsTestInstall = this.ipfsTestInstall.bind(this);
-        this.env = process.env;
-        this.ipfs_dist_tar = "https://dist.ipfs.tech/kubo/v0.26.0/kubo_v0.26.0_linux-amd64.tar.gz";
-        this.ipfs_follow_dist_tar = "https://dist.ipfs.tech/ipfs-cluster-follow/v1.0.8/ipfs-cluster-follow_v1.0.8_linux-amd64.tar.gz";
-        this.ipfs_cluster_dist_tar = "https://dist.ipfs.tech/ipfs-cluster-ctl/v1.0.8/ipfs-cluster-ctl_v1.0.8_linux-amd64.tar.gz";
-        this.ipfs_cluster_service_dist_tar = "https://dist.ipfs.tech/ipfs-cluster-service/v1.0.8/ipfs-cluster-service_v1.0.8_linux-amd64.tar.gz";
-        if (meta !== null) {
-            this.config = meta.config ? meta.config : null;
-            this.secret = meta.secret ? meta.secret : null;
-
-            if (this.secret == null) {
-                // generate 64 character hex string
-                this.secret = crypto.randomBytes(32).toString('hex');
-            }
-
-            if (meta.role) {
-                this.role = meta.role;
-                if (!['master', 'worker', 'leecher'].includes(this.role)) {
-                    throw new Error("role is not either master, worker, leecher");
-                }
-            } else {
-                this.role = "leecher";
-            }
-
-            if (meta.ipfsPath) {
-                this.ipfsPath = meta.ipfsPath;
-                if (!fs.existsSync(this.ipfsPath)) {
-                    fs.mkdirSync(this.ipfsPath, { recursive: true });
-                }
-                let testDisk = new test_fio.TestFio();
-                this.diskName = testDisk.disk_device_name_from_location(this.ipfsPath);
-                this.diskStats = {
-                    disk_size: testDisk.disk_device_total_capacity(this.diskName),
-                    disk_used: testDisk.disk_device_used_capacity(this.diskName),
-                    disk_avail: testDisk.disk_device_avail_capacity(this.diskName),
-                    disk_name: this.diskName
-                };
-            } else {
-                if (os.userInfo().username === "root") {
-                    this.ipfsPath = "/root/ipfs";
-                } else {
-                    this.ipfsPath = path.join(path.join(os.homedir(),".cache"), "ipfs");
-                }
-                let testDisk = new test_fio.TestFio();
-                this.diskName = testDisk.disk_device_name_from_location(this.ipfsPath);
-                this.diskStats = {
-                    disk_size: testDisk.disk_device_total_capacity(this.diskName),
-                    disk_used: testDisk.disk_device_used_capacity(this.diskName),
-                    disk_avail: testDisk.disk_device_avail_capacity(this.diskName),
-                    disk_name: this.diskName
-                };
-            }
-
-            this.clusterName = meta.clusterName ? meta.clusterName : null;
-            this.clusterLocation = meta.clusterLocation ? meta.clusterLocation : "/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv";
-
-            if (['leecher', 'worker', 'master'].includes(this.role) && this.ipfsPath) {
-                // Bind the methods for installing and configuring IPFS
-                this.ipfs_install_command = this.installIPFSDaemon.bind(this);
-                this.ipfs_config_command = this.configIPFS.bind(this);
-            }
-
-            if (this.role === "worker" && this.cluster_name && this.ipfsPath) {
-                // Bind methods for worker role
-                this.clusterInstall = this.installIPFSClusterFollow.bind(this);
-                this.clusterConfig = this.configIPFSClusterFollow.bind(this);
-            }
-
-            if (this.role === "master" && this.cluster_name && this.ipfsPath) {
-                // Bind methods for master role
-                this.clusterCtlInstall = this.installIPFSClusterCtl.bind(this);
-                this.clusterCtlConfig = this.configIPFSClusterCtl.bind(this);
-                this.clusterService_install = this.installIPFSClusterService.bind(this);
-                this.clusterServiceConfig = this.configIPFSClusterService.bind(this);
-            }
-        }
-    }
-
-    async installIPFSDaemon(options = {}) {
-        let detect = '';
-        try {
-            detect = execSync("which ipfs").toString().trim();
-            if (detect.length > 0) {
-                return true;
-            }
-        } catch (e) {
-            console.error(e);
-            detect = '';
-        }
-        let thisDir = this.thisDir || path.dirname(new URL(import.meta.url).pathname);
-
-        if (!detect) {
-            try {
-                const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ipfs-'));
-                const tarFile = path.join(tmpDir, "kubo.tar.gz");
-                execSync(`wget ${this.ipfs_dist_tar} -O ${tarFile}`);
-                execSync(`tar -xvzf ${tarFile} -C ${tmpDir}`);
-                execSync(`cd ${tmpDir}/kubo && sudo bash install.sh`);
-                const results = execSync("ipfs --version").toString().trim();
-                const serviceConfig = fs.readFileSync(path.join(thisDir, 'ipfs.service')).toString();
-                fs.writeFileSync("/etc/systemd/system/ipfs.service", serviceConfig);
-                execSync("systemctl enable ipfs");
-                return results.includes("ipfs");
-            } catch (e) {
-                console.error(e);
-                return false;
-            }
-        }
-    }
-
-    installIPFSClusterFollow(options = {}) {
-        // Check if ipfs-cluster-follow is already installed
-        let followCmdExists = execSync('which ipfs-cluster-follow')
-        if (followCmdExists.length > 0) {
-            console.log('ipfs-cluster-follow is already installed.');
-            return true;
-        } else {
-            console.log('ipfs-cluster-follow is not installed, proceeding with installation.');
-            // Downloading tarball
-            const url = this.ipfs_follow_dist_tar;
-            const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ipfs-cluster-follow-'));
-            const tarPath = path.join(tmpDir, url.split('/')[-1]);
-            let thisDir = this.thisDir || path.dirname(new URL(import.meta.url).pathname);
-
-            const file = fs.createWriteStream(tarPath);
-            https.get(url, function(response) {
-                response.pipe(file);
-                file.on('finish', () => {
-                    file.close();
-                    console.log('Download completed.');
-
-                    // Extracting tarball
-                    tar.x({
-                        file: tarPath,
-                        C: tmpDir,
-                    }).then(() => {
-                        console.log('Extraction completed.');
-                        const binPath = path.join(tmpDir, 'ipfs-cluster-follow', 'ipfs-cluster-follow');
-                        execSync(`sudo mv ${binPath} /usr/local/bin/ipfs-cluster-follow`);
-                        try {
-                            // Verify installation
-                            const version = execSync('ipfs-cluster-follow --version').toString().trim();
-                            console.log(`Installed ipfs-cluster-follow version: ${version}`);
-                            if (os.userInfo().username == "root") {
-                                let serviceConfig = fs.readFileSync(path.join(thisDir, 'ipfs_clusterFollow.service')).toString();
-                                fs.writeFileSync('/etc/systemd/system/ipfs-cluster-follow.service', serviceConfig);
-                                execSync('systemctl enable ipfs-cluster-follow');
-                                console.log('ipfs-cluster-follow service enabled.');
-                            }
-                            else{
-                                console.log('Please run as root user to enable systemd service');
-                            }
-                        } catch (e) {
-                            console.error('Error verifying ipfs-cluster-follow installation:', e);
-                            return false;
-                        }
-                    }).catch((err) => {
-                        console.error('Error extracting file:', err);
-                    });
-                });
-            }).on('error', (err) => {
-                // Handle errors
-                console.error('Error downloading file:', err);
-                fs.unlink(dest);
-            });
-        }
-        return results
-    }
-    
-    async installIPFSClusterCtl(options = {}) {
-        try {
-            const detect = execSync("which ipfs-cluster-ctl").toString().trim();
-            if (detect) {
-                console.log('ipfs-cluster-ctl is already installed.');
-                return true;
-            }
-        } catch (e) {
-            console.error(e.message);
-        }
-    
-        const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ipfs-cluster-ctl-'));
-        const tarPath = path.join(tmpDir, 'ipfs-cluster-ctl.tar.gz');
-        const url = "https://dist.ipfs.tech/ipfs-cluster-ctl/v1.0.8/ipfs-cluster-ctl_v1.0.8_linux-amd64.tar.gz";
-    
-        // Download and extract the tarball
-        const file = fs.createWriteStream(tarPath);
-        https.get(url, (response) => {
-            response.pipe(file);
-            file.on('finish', () => {
-                file.close();
-                console.log('Download completed.');
-                tar.x({
-                    file: tarPath,
-                    C: tmpDir,
-                }).then(() => {
-                    console.log('Extraction completed.');
-                    const binPath = path.join(tmpDir, 'ipfs-cluster-ctl', 'ipfs-cluster-ctl');
-                    execSync(`sudo mv ${binPath} /usr/local/bin/ipfs-cluster-ctl`);
-                    try {
-                        // Verify installation
-                        const version = execSync('ipfs-cluster-ctl --version').toString().trim();
-                        console.log(`Installed ipfs-cluster-ctl version: ${version}`);
-                        return true;
-                    } catch (e) {
-                        console.error('Error verifying ipfs-cluster-ctl installation:', e);
-                        return false;
-                    }
-                }).catch((err) => {
-                    console.error('Error extracting file:', err);
-                });
-            });
-        }).on('error', (err) => {
-            console.error('Error downloading file:', err);
-            fs.unlink(tarPath, (err) => {
-                if (err) console.error(`Error removing temporary tarball: ${err}`);
-            });
-        });
-    }
-
-    async installIPFSClusterService(options = {}) {
-        try {
-            const detect = execSync("which ipfs-cluster-service").toString().trim();
-            if (detect) {
-                console.log('ipfs-cluster-service is already installed.');
-                return true;
-            }
-        } catch (e) {
-            console.error(e.message);
-        }
-    
-        const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ipfs-cluster-service-'));
-        const tarPath = path.join(tmpDir, 'ipfs-cluster-service.tar.gz');
-        const url = "https://dist.ipfs.tech/ipfs-cluster-service/v1.0.8/ipfs-cluster-service_v1.0.8_linux-amd64.tar.gz";
-        let thisDir = this.thisDir || path.dirname(new URL(import.meta.url).pathname);
-    
-        // Download and extract the tarball
-        const file = fs.createWriteStream(tarPath);
-        https.get(url, (response) => {
-            response.pipe(file);
-            file.on('finish', () => {
-                file.close();
-                console.log('Download completed.');
-                tar.x({
-                    file: tarPath,
-                    C: tmpDir,
-                }).then(() => {
-                    console.log('Extraction completed.');
-                    const binPath = path.join(tmpDir, 'ipfs-cluster-service', 'ipfs-cluster-service');
-                    execSync(`sudo mv ${binPath} /usr/local/bin/ipfs-cluster-service`);
-                    try {
-                        // Verify installation
-                        const version = execSync('ipfs-cluster-service --version').toString().trim();
-                        console.log(`Installed ipfs-cluster-service version: ${version}`);
-                        // if root user, write and enable systemd service
-                        if (os.userInfo().username == "root") {
-                            let serviceConfig = fs.readFileSync(path.join(thisDir, 'ipfs_clusterFollow.service')).toString();
-                            fs.writeFileSync('/etc/systemd/system/ipfs-cluster-follow.service', serviceConfig);
-                            execSync('systemctl enable ipfs-cluster-service');
-                            console.log('ipfs-cluster-service service enabled.');
-                            execSync('systemctl daemon-reload');
-                            console.log('systemctl daemon reloaded.');
-                        }
-                        else{
-                            console.log('Please run as root user to enable systemd service');
-                        }    
-                        return true;
-                    } catch (e) {
-                        console.error('Error verifying ipfs-cluster-service installation:', e);
-                        return false;
-                    }
-                }).catch((err) => {
-                    console.error('Error extracting file:', err);
-                });
-            });
-        }).on('error', (err) => {
-            console.error('Error downloading file:', err);
-            fs.unlink(tarPath, (err) => {
-                if (err) console.error(`Error removing temporary tarball: ${err}`);
-            });
-        });
-    }
-
-    async installIPGet(options = {}) {
-        try {
-            // Check if ipget is already installed
-            const detect = execSync("which ipget").toString().trim();
-            if (detect) {
-                //console.log('ipget is already installed.');
-                return true;
-            }
-        } catch (e) {
-            console.error(e.message);
-        }
-    
-        // Prepare for download and extraction
-        const tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), 'ipget-'));
-        const tarPath = path.join(tmpDir, 'ipget.tar.gz');
-        const url = "https://dist.ipfs.tech/ipget/v0.10.0/ipget_v0.10.0_linux-amd64.tar.gz";
-    
-        // Download the tarball
-        https.get(url, (response) => {
-            const fileStream = fs.createWriteStream(tarPath);
-            response.pipe(fileStream);
-            fileStream.on('finish', () => {
-                fileStream.close();
-                console.log('Downloaded ipget tarball.');
-    
-                // Extract the tarball
-                tar.x({
-                    file: tarPath,
-                    C: tmpDir,
-                }).then(() => {
-                    console.log('Extracted ipget.');
-    
-                    // Move to bin and install
-                    if (os.userInfo().username == "root") {
-                        const binPath = path.join(tmpDir, 'ipget', 'ipget');
-                        execSync(`sudo mv ${binPath} /usr/local/bin/ipget`);
-                        const installScriptPath = path.join(tmpDir, 'ipget', 'install.sh');
-                        execSync(`cd ${tmpDir}/ipget && sudo bash install.sh`);
-        
-                        // Update system settings
-                        execSync('sudo sysctl -w net.core.rmem_max=2500000');
-                        execSync('sudo sysctl -w net.core.wmem_max=2500000');    
-                    }
-                    else{
-                        console.log('Please run as root user to install ipget');
-                        execSync(`cd ${tmpDir}/ipget && bash install.sh`);                        
-                    }
-    
-                    // Verify installation
-                    try {
-                        const version = execSync('ipget --version').toString().trim();
-                        console.log(`Installed ipget version: ${version}`);
-                        return true;
-                    } catch (verificationError) {
-                        console.error('Error verifying ipget installation:', verificationError);
-                        return false;
-                    }
-                }).catch((extractionError) => {
-                    console.error('Error extracting ipget:', extractionError);
-                });
-            });
-        }).on('error', (downloadError) => {
-            console.error('Error downloading ipget:', downloadError);
-        });
-    }
-    
-    async configIPFSClusterService(options = {}) {
-        let clusterName = options.clusterName || this.clusterName;
-        let diskStats = options.diskStats || this.diskStats;
-        let ipfsPath = options.ipfsPath || this.ipfsPath;
-        let secret = options.secret || this.secret;
-
-        if (!diskStats) throw new Error("diskStats is None");
-        if (!ipfsPath) throw new Error("ipfsPath is None");
-        if (!clusterName) throw new Error("clusterName is None");
-        if (!secret) throw new Error("secret is None");
-
-        let thisDir = this.thisDir || path.dirname(new URL(import.meta.url).pathname);
-        let homeDir = os.homedir();
-        let clusterPath = path.join(ipfsPath, clusterName);
-        let servicePath;
-        let run_daemon;
-        let initClusterDaemonResults;
-        let results = {}
-        if (os.userInfo().username == "root") {
-            servicePath = path.join("/root", ".ipfs-cluster");
-        } else {
-            servicePath = path.join(homeDir, ".ipfs-cluster");
-        }
-        if (clusterName && ipfsPath && diskStats && secret) {
-            try{
-                if (os.userInfo().username == "root") {
-                    const command0 = "systemctl enable ipfs-cluster-service";
-                    const results0 = execSync(command0, { shell: true });
-                    const initClusterDaemon = `IPFS_PATH=${ipfsPath} ipfs-cluster-service init -f`;
-                    initClusterDaemonResults = execSync(initClusterDaemonResults, { shell: true }).toString();
-                } else {
-                    const initClusterDaemon = `IPFS_PATH=${ipfsPath} ipfs-cluster-service init -f`;
-                    initClusterDaemonResults = execSync(command1, { shell: true }).toString();
-                }
-
-                results["initClusterDaemonResults"] = initClusterDaemonResults                
-            }
-            catch(e){
-                console.error(e);
-                throw new Error("Error configuring IPFS Cluster Service");
-            }
-
-            try{
-                let serviceConfig = fs.readFileSync(path.join(thisDir, 'service.json')).toString();
-                let workerID = "worker-" + crypto.randomUUID();
-                serviceConfig = serviceConfig.replace('"cluster_name": "ipfs-cluster"', 'cluster_name": "'+clusterName+'"');
-                serviceConfig = serviceConfig.replace('"secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3"', '"secret": "'+ secret +'"');
-                fs.writeFileSync(path.join(followPath, 'service.json'), serviceConfig);
-                let peerStore = fs.readFileSync(path.join(thisDir, 'peerstore')).toString();
-                fs.writeFileSync(path.join(followPath, 'peerstore'), peerStore);
-
-                let pebbleLink = path.join(servicePath, "pebble");
-                let pebbleDir = path.join(clusterPath, "pebble");
-                if (clusterPath != followPath) {
-                    if (fs.existsSync(pebbleLink)) {
-                        fs.unlinkSync(pebbleLink);
-                    }
-                    if (!fs.existsSync(pebbleDir)) {
-                        fs.mkdirSync(pebbleDir, { recursive: true });
-                    }
-                    fs.symlinkSync(pebbleDir, pebbleLink);
-                }
-
-                if (os.userInfo().username == "root") {
-                    let serviceFile = fs.readFileSync(path.join(thisDir, 'ipfs_cluster.service')).toString();
-                    fs.writeFileSync("/etc/systemd/system/ipfs-cluster-service.service", new_service)
-                    execSync("systemctl enable ipfs-cluster-service");
-                    execSync("systemctl daemon-reload");
-                }
-
-            }
-            catch(e){
-                console.error(e);
-                throw new Error("Error configuring IPFS Cluster Service");
-            }
-
-            try{
-                let run_daemon_results
-                if (os.userInfo().username == "root") {
-                    let reloadDaemon = "systemctl daemon-reload";
-                    let reloadDaemonResults = execSync(reloadDaemon);
-
-                    // Enable service 
-                    let enableDaemon = "systemctl enable ipfs-cluster-service";
-                    let enableDaemonResults = execSync(enableDaemon);
-
-                    // Start daemon
-                    let startDaemon = "systemctl start ipfs-cluster-service";
-                    let startDaemonResults = execSync(startDaemon);
-                    await new Promise(resolve => setTimeout(resolve, 2000));
-                    run_daemon = execSync("systemctl status ipfs-cluster-service | grep Active | awk '{print $2}'").toString();
-                }
-                else{
-                    let run_daemon_cmd = "ipfs-cluster-service daemon";
-                    run_daemon = exec(
-                        run_daemon_cmd,
-                        (error, stdout, stderr) => {
-                            console.log(stdout);
-                        }
-                    );
-                    await new Promise(resolve => setTimeout(resolve, 2000));
-                    run_daemon = run_daemon.stderr.read();
-                }
-                // Check if daemon is running
-                results["run_daemon"] = run_daemon;
-            }
-            catch(e){
-                console.log(e);
-                return e.toString();
-            }
-        }
-        return results;
-    }
-
-    async configIPFSClusterCtl(options = {}) {
-        let results = {};
-        let run_daemon_cmd = "ipfs-cluster-ctl status";
-        run_daemon = execSync(run_daemon_cmd).toString();
-
-        findDaemon = "ps -ef | grep ipfs-cluster-service | grep -v grep | wc -l";
-        findDaemonResuls = execSync(findDaemon).toString();
-
-        if (parseInt(findDaemonResuls) == 0) {
-            console.log("ipfs-cluster-service daemon is not running");
-            throw new Error("ipfs-cluster-service daemon is not running");
-        }
-        else{
-            let killDaemon = "ps -ef | grep ipfs-cluster-service | grep -v grep | awk '{print $2}' | xargs kill -9";
-            let killDaemonResults = execSync(killDaemon);
-        }
-
-        results["run_daemon"] = run_daemon;
-
-        return results;
-    }
-
-    async configIPFSClusterFollow(options = {}) {
-        let clusterName = options.clusterName || this.clusterName;
-        let diskStats = options.diskStats || this.diskStats;
-        let ipfsPath = options.ipfsPath || this.ipfsPath;
-        let secret = options.secret || this.secret;
-
-        if (!diskStats) throw new Error("diskStats is None");
-        if (!ipfsPath) throw new Error("ipfsPath is None");
-        if (!clusterName) throw new Error("clusterName is None");
-        if (!secret) throw new Error("secret is None");
-
-        let thisDir = this.thisDir || path.dirname(new URL(import.meta.url).pathname);
-        let homeDir = os.homedir();
-        let clusterPath = path.join(ipfsPath, clusterName);
-        let followPath;
-        let run_daemon;
-        let followInitCmdResults;
-        if (os.userInfo().username == "root") {
-            followPath = path.join("/root", ".ipfs-cluster-follow", clusterName);
-        } else {
-            followPath = path.join(homeDir, ".ipfs-cluster-follow", clusterName);
-        }
-        if (clusterName && ipfsPath && diskStats && secret) {
-            try {
-                let rm_command = `rm -rf ${followPath}`;
-                execSync(rm_command);
-                let followInitCmd = `ipfs-cluster-follow ${clusterName} init ${ipfsPath}`;
-                followInitCmdResults = execSync(followInitCmd).toString()
-                if (!fs.existsSync(clusterPath)) {
-                    fs.mkdirSync(clusterPath, { recursive: true });
-                }
-                if (!fs.existsSync(followPath)) {
-                    fs.mkdirSync(followPath, { recursive: true });
-                }
-                let serviceConfig = fs.readFileSync(path.join(thisDir, 'service_follower.json')).toString();
-                let workerID = "worker-" + crypto.randomUUID();
-                serviceConfig = serviceConfig.replace('"peername": "worker"', `peername": `+workerID+`"`);
-                serviceConfig = serviceConfig.replace('"cluster_name": "ipfs-cluster"', 'cluster_name": "'+clusterName+'"');
-                serviceConfig = serviceConfig.replace('"secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3"', '"secret": "'+ secret +'"');
-                fs.writeFileSync(path.join(followPath, 'service.json'), serviceConfig);
-                let peerStore = fs.readFileSync(path.join(thisDir, 'peerstore')).toString();
-                fs.writeFileSync(path.join(followPath, 'peerstore'), peerStore);
-
-                // Link the pebble directory if needed
-                let pebbleLink = path.join(followPath, "pebble");
-                let pebbleDir = path.join(clusterPath, "pebble");
-                if (clusterPath != followPath) {
-                    if (fs.existsSync(pebbleLink)) {
-                        fs.unlinkSync(pebbleLink);
-                    }
-                    if (!fs.existsSync(pebbleDir)) {
-                        fs.mkdirSync(pebbleDir, { recursive: true });
-                    }
-                    fs.symlinkSync(pebbleDir, pebbleLink);
-                }
-
-                if (os.userInfo().username == "root") {
-                    let serviceFile = fs.readFileSync(path.join(thisDir, 'ipfs_clusterFollow.service')).toString();
-                    let new_service = serviceFile.replace("ExecStart=/usr/local/bin/ipfs-cluster-follow run","ExecStart=/usr/local/bin/ipfs-cluster-follow "+ clusterName + " run")
-                    new_service = new_service.replace("Description=IPFS Cluster Follow","Description=IPFS Cluster Follow "+ clusterName)
-                    fs.writeFileSync("/etc/systemd/system/ipfs-cluster-follow@"+clusterName+".service", new_service)
-                    execSync("systemctl enable ipfs-cluster-follow@"+clusterName);
-                    execSync("systemctl daemon-reload");
-                }
-
-            } catch (e) {
-                console.error(e);
-            }
-        }
-
-        try{
-            let findDaemon = "ps -ef | grep ipfs-cluster-follow | grep -v grep | wc -l";
-            let findDaemonResuls = execSync(findDaemon).toString();
-            if (parseInt(findDaemonResuls) > 0) {
-                killDaemon = "ps -ef | grep ipfs-cluster-follow | grep -v grep | awk '{print $2}' | xargs kill -9";
-                killDaemonResults = execSync(killDaemon);
-            }
-            let run_daemon_results
-            if (os.userInfo().username == "root") {
-                let reloadDaemon = "systemctl daemon-reload";
-                let reloadDaemonResults = execSync(reloadDaemon);
-
-                // Enable service 
-                let enableDaemon = "systemctl enable ipfs-cluster-follow@"+ clusterName;
-                let enableDaemonResults = execSync(enableDaemon);
-
-                // Start daemon
-                let startDaemon = "systemctl start ipfs-cluster-follow@" + clusterName;
-                let startDaemonResults = execSync(startDaemon);
-                await new Promise(resolve => setTimeout(resolve, 2000));
-                run_daemon = execSync("systemctl status ipfs-cluster-follow@"+ clusterName +" | grep Active | awk '{print $2}'").toString();
-            }
-            else{
-                let run_daemon_cmd = "ipfs-cluster-follow " + clusterName + " run";
-                run_daemon = exec(
-                    run_daemon_cmd,
-                    (error, stdout, stderr) => {
-                        console.log(stdout);
-                    }
-                );
-                await new Promise(resolve => setTimeout(resolve, 2000));
-                run_daemon = run_daemon.stderr.read();
-            }
-            // Check if daemon is running
-            await new Promise(resolve => setTimeout(resolve, 2000));
-
-            findDaemon = "ps -ef | grep ipfs-cluster-follow | grep -v grep | wc -l";
-            findDaemonResuls = execSync(findDaemon).toString();
-
-            if (parseInt(findDaemonResuls) == 0) {
-                console.log("ipfs-cluster-follow daemon is not running");
-                throw new Error("ipfs-cluster-follow daemon is not running");
-            }
-            else{
-                let killDaemon = "ps -ef | grep ipfs-cluster-follow | grep -v grep | awk '{print $2}' | xargs kill -9";
-                let killDaemonResults = execSync(killDaemon);
-            }
-    
-        }
-        catch(e){
-            console.log(e);
-            return e.toString();
-        }
-
-        let results = {
-            "followInitCmdResults": followInitCmdResults,
-            "run_daemon": run_daemon
-        };
-
-        return results;
-    }
-
-    async configIPFS(options = {}) {
-        let diskStats = options.diskStats || this.diskStats;
-        let ipfsPath = options.ipfsPath || this.ipfsPath;
-        let identity
-        let config
-        let peerId
-        let run_daemon
-        let public_key
-        let ipfs_daemon
-        if (!diskStats) throw new Error("diskStats is None");
-        if (!ipfsPath) throw new Error("ipfsPath is None");
-
-        ipfsPath = path.join(ipfsPath, "ipfs");
-        fs.mkdirSync(ipfsPath, { recursive: true });
-
-        let ipfsDirContents = fs.readdirSync(ipfsPath);
-        if (ipfsDirContents.length > 0) {
-            console.log("IPFS directory is not empty. Clearing contents...");
-            for (let thisFile of ipfsDirContents) {
-                let delfile = path.join(ipfsPath, thisFile);
-                if (fs.existsSync(delfile)) {
-                    if (fs.lstatSync(delfile).isFile()) {
-                        fs.unlinkSync(delfile);
-                    }
-                    else if(fs.lstatSync(delfile).isDirectory()) {
-                        fs.rmSync(delfile, {
-                            recursive: true
-                        });
-                    }
-                    else {
-                        console.log(`Unknown file type: ${delfile}`);
-                    }
-                }
-            }
-        }
-        
-        let results = {
-            config: null,
-            identity: null,
-            public_key: null
-        };
-
-        if (diskStats && ipfsPath) {
-            try {
-                execSync(`IPFS_PATH=${ipfsPath} ipfs init --profile=badgerds`);
-                peerId = JSON.parse(execSync(`IPFS_PATH=${ipfsPath} ipfs id`).toString());
-                execSync(`IPFS_PATH=${ipfsPath} ipfs config profile apply badgerds`);
-
-                // Calculate available disk space and adjust storage allocation
-                let diskAvailable = parseFloat(diskStats.disk_avail);
-                let minFreeSpace = 32 * 1024 * 1024 * 1024; // 32 GB
-                if (diskAvailable > minFreeSpace) {
-                    let allocate = Math.ceil(((diskAvailable - minFreeSpace) * 0.8) / 1024 / 1024 / 1024);
-                    execSync(`IPFS_PATH=${ipfsPath} ipfs config Datastore.StorageMax ${allocate}GB`);
-                }
-
-                // Load peer list and add to bootstrap
-                let peerListPath = path.join(process.cwd(), "peerstore");
-                if (fs.existsSync(peerListPath)) {
-                    let peerList = fs.readFileSync(peerListPath).toString().split("\n");
-                    peerList.forEach(peer => {
-                        if (peer) {
-                            execSync(`IPFS_PATH=${ipfsPath} ipfs bootstrap add ${peer}`);
-                        }
-                    });
-                }
-
-                //Assuming ipfs_service_text contains the systemd service configuration
-                if (os.userInfo().username == "root") {
-                    const original_service = fs.readFileSync("/etc/systemd/system/ipfs.service").toString();
-                    const new_service_text = original_service.replace("ExecStart=","ExecStart= bash -c \"export IPFS_PATH="+ ipfsPath + " && ");
-                    fs.writeFileSync("/etc/systemd/system/ipfs.service", new_service_text);
-                }
-
-                results.config = execSync(`IPFS_PATH=${ipfsPath} ipfs config show`).toString();
-                results.identity = peerId.ID;
-                results.public_key = peerId.PublicKey
-                results.AgentVersion = peerId.AgentVersion
-                results.Addresses = peerId.Addresses
-            } catch (error) {
-                console.error('Error configuring IPFS:', error);
-            }
-        }
-        if (os.userInfo().username == "root") {
-            try {
-                // Reload daemon
-                let reloadDaemon = "systemctl daemon-reload";
-                let reloadDaemonResults = execSync(reloadDaemon);
-
-                // Enable service 
-                let enableDaemon = "systemctl enable ipfs";
-                let enableDaemonResults = execSync(enableDaemon);
-
-
-                // Check if daemon is running
-                let findDaemon = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-                let findDaemonResuls = execSync(findDaemon).toString();
-                if (parseInt(findDaemonResuls) > 0) {
-                    execSync("systemctl stop ipfs");
-                    let findDaemonResuls = execSync(findDaemon).toString();
-                }
-                // Start daemon
-                let startDaemon = "systemctl start ipfs";
-                let startDaemonResults = execSync(startDaemon);
-
-                if (parseInt(findDaemonResuls) ==  0) {
-                    // Downloads image from ipfs as a test
-                    let testDaemon = `bash -c "export IPFS_PATH=${ipfsPath} && ipfs cat /ipfs/QmSgvgwxZGaBLqkGyWemEDqikCqU52XxsYLKtdy3vGZ8uq > ${ipfsPath}/test.jpg"`;
-                    let testDaemonResults = execSync(testDaemon);
-
-                    // Time out for 2 seconds to allow the file to download
-                    await new Promise(resolve => setTimeout(resolve, 5000));
-
-                    if (fs.existsSync(`${ipfsPath}/test.jpg`)) {
-                        if (fs.statSync(`${ipfsPath}/test.jpg`).size > 0) {
-                            fs.unlinkSync(`${ipfsPath}/test.jpg`);
-                        } else {
-                            throw new Error("ipfs failed to download test file");
-                        }
-                        fs.unlinkSync(`${ipfsPath}/test.jpg`);
-                    }
-                } else {
-                    throw new Error("ipfs failed to download test file");
-                }
-            } catch (e) {
-                console.log(e);
-                return e.toString();
-            } finally {
-                let stopDaemon = "systemctl stop ipfs";
-                let stopDaemonResults = execSync(stopDaemon);
-            }
-        } else {
-            let findDaemon = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-            let findDaemonResuls = execSync(findDaemon).toString();
-            if (parseInt(findDaemonResuls) > 0) {
-                execSync("ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | xargs kill -9");
-                findDaemonResuls = execSync(findDaemon).toString();
-            }
-
-            console.warn('You need to be root to write to /etc/systemd/system/ipfs.service');
-            let run_daemon_cmd = `IPFS_PATH=${ipfsPath} ipfs daemon --enable-pubsub-experiment --enable-gc`;
-            run_daemon = exec(
-                run_daemon_cmd,
-                (error, stdout, stderr) => {
-                    if (stdout.length > 0) {
-                        console.log(stdout);
-                    }
-                    if (stderr.length > 0) {
-                        console.error(stderr);
-                        //throw new Error(stderr);
-                    }
-                }
-            );
-            await new Promise(resolve => setTimeout(resolve, 2000));
-            findDaemon = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-            findDaemonResuls = execSync(findDaemon).toString();
-            run_daemon = run_daemon.stderr.read();
-            try{
-                // Start the daemon
-                let testDaemon = `bash -c 'IPFS_PATH=${ipfsPath} ipfs cat /ipfs/QmSgvgwxZGaBLqkGyWemEDqikCqU52XxsYLKtdy3vGZ8uq' > ${ipfsPath}/test.jpg`;
-                let testDaemonResults = execSync(testDaemon).toString();
-
-                // Time out for 2 seconds to allow the file to download
-                await new Promise(resolve => setTimeout(resolve, 2000));
-
-                if (fs.existsSync(`${ipfsPath}/test.jpg`)) {
-                    if (fs.statSync(`${ipfsPath}/test.jpg`).size > 0) {
-                        fs.unlinkSync(`${ipfsPath}/test.jpg`);
-                    } else {
-                        fs.unlinkSync(`${ipfsPath}/test.jpg`);
-                        throw new Error("ipfs failed to download test file");
-                    }
-                }
-                else {
-                    throw new Error("ipfs failed to download test file");
-                }
-            }
-            catch(e){
-                console.log(e);
-                return e.toString();
-            }
-        }
-        if (results.identity != undefined && results.identity.length == 52) {
-            identity = results.identity ;
-            config = JSON.parse(results.config.replace("\n", ""));
-            public_key = results.public_key;
-            ipfs_daemon = run_daemon;
-        }
-        results = {
-            "config": config,
-            "identity": identity,
-            "public_key": public_key,
-            "ipfs_daemon": ipfs_daemon
-        };
-        return results;
-    }
-
-    async runIPFSClusterService(options = {}) {
-        let ipfsPath = options.ipfsPath || this.ipfsPath;
-        ipfsPath = path.join(ipfsPath, "ipfs");
-        fs.mkdirSync(ipfsPath, { recursive: true });
-
-        const command = `IPFS_CLUSTER_PATH=${ipfsPath} ipfs-cluster-service`;
-        const process = exec(command);
-
-        process.stdout.on('data', (data) => {
-            console.log(`stdout: ${data}`);
-        });
-
-        process.stderr.on('data', (data) => {
-            console.error(`stderr: ${data}`);
-        });
-
-        process.on('close', (code) => {
-            console.log(`ipfs-cluster-service process exited with code ${code}`);
-        });
-
-        return process;
-    }
-
-    async runIPFSClusterCtl(options = {}) {
-        let ipfsPath = options.ipfsPath || this.ipfsPath;
-        ipfsPath = path.join(ipfsPath, "ipfs");
-        fs.mkdirSync(ipfsPath, { recursive: true });
-
-        const command = `IPFS_CLUSTER_PATH=${ipfsPath} ipfs-cluster-ctl`;
-        const process = exec(command);
-
-        process.stdout.on('data', (data) => {
-            console.log(`stdout: ${data}`);
-        });
-
-        process.stderr.on('data', (data) => {
-            console.error(`stderr: ${data}`);
-        });
-
-        process.on('close', (code) => {
-            console.log(`ipfs-cluster-ctl process exited with code ${code}`);
-        });
-
-        return process;
-    }
-
-
-    async ensureDirSync(dirPath) {
-        if (!fs.existsSync(dirPath)) {
-            fs.mkdirSync(dirPath, { recursive: true });
-        }
-    }
-
-    async runIPFSClusterFollow(options = {}) {
-        this.ensureDirSync(this.ipfsPath);
-        const command = "ipfs-cluster-follow";
-        let cluster_name = options.cluster_name || this.cluster_name;
-        const args = [ "init", cluster_name]; // Example, adjust as needed
-        const env = {ipfsPath: this.ipfsPath };
-        const export_command = Object.entries(env).map(([key, value]) => `export ${key}=${value}`).join(" && ");
-        const process_command = export_command + command + " " + args.join(" ");
-        try {
-            const { stdout, stderr } = await exec(process_command);
-            console.log(stdout);
-            console.error(stderr);
-            return true;
-        } catch (error) {
-            console.error(error);
-        }
-    }
-
-    async runIPFSDaemon(options = {}) {
-        const ipfs_path = path.join( this.ipfsPath , "ipfs" )
-        const psDaemon = "ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | wc -l";
-        const psDaemonResults = execSync(psDaemon).toString();
-        if (parseInt(psDaemonResults) > 0) {
-            const killDaemon = "ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | xargs kill -9";
-            const killDaemonResults = execSync(killDaemon);
-        }
-        const lockFile = path.join(ipfs_path, "repo.lock");
-        if (fs.existsSync(lockFile)) {
-            fs.unlinkSync(lockFile);
-        }
-        this.ensureDirSync(this.ipfsPath);
-        const command = "ipfs";
-        const args = ["daemon", "--enable-pubsub-experiment", "--enable-gc"];
-        const env = {IPFS_PATH: ipfs_path };
-        const export_command = Object.entries(env).map(([key, value]) => ` ${key}=${value}`).join(" ");
-        const process_command = export_command + " " + command + " " + args.join(" ");
-        try {
-            let run_daemon = exec(
-                process_command,
-                (error, stdout, stderr) => {
-                    if (stdout.length > 0) {
-                        console.log(stdout);
-                    }
-                    if (stderr.length > 0) {
-                        console.error(stderr);
-                    }
-                }
-            );
-            return true;
-        } catch (error) {
-            console.error(error);
-        }
-        finally {
-            return true;
-        }
-    }
-
-  
-    async killProcessByPattern(pattern) {
-        try {
-            // Using pgrep and pkill for more precise process management
-            const pids = execSync(`pgrep -f '${pattern}'`).toString().trim();
-            if (pids) {
-                execSync(`pkill -f '${pattern}'`);
-            }
-            return true;
-        } catch (error) {
-            console.error(`Failed to kill process with pattern ${pattern}: ${error}`);
-            return false;
-        }
-    }
-
-    async removeDirectorySync(dirPath) {
-        // Recursive removal using rmSync in newer Node.js versions, for older versions consider rimraf package
-        try {
-            fs.rmSync(dirPath, { recursive: true, force: true });
-            return true;
-        } catch (error) {
-            console.error(`Failed to remove directory ${dirPath}: ${error}`);
-            return false;
-        }
-    }
-
-    async uninstallIPFS(options = {}) {
-        await this.killProcessByPattern('ipfs.*daemon');
-        await this.killProcessByPattern('ipfs-cluster-follow');
-        await this.removeDirectorySync(this.ipfsPath);
-        await this.removeDirectorySync(path.join(os.homedir(), '.ipfs-cluster-follow', 'ipfs_cluster', 'api-socket'));
-        return true;
-    }
-
-
-    async killProcessByPattern(pattern) {
-        try {
-            // Using pgrep and pkill for more precise process management
-            const pids = execSync(`pgrep -f '${pattern}'`).toString().trim();
-            if (pids) {
-                execSync(`pkill -f '${pattern}'`);
-            }
-            return true;
-        } catch (error) {
-            console.error(`Failed to kill process with pattern ${pattern}: ${error}`);
-            return false;
-        }
-    }
-
-    async removeDirectorySync(dirPath) {
-        // Recursive removal using rmSync in newer Node.js versions, for older versions consider rimraf package
-        try {
-            fs.rmSync(dirPath, { recursive: true, force: true });
-            return true;
-        } catch (error) {
-            console.error(`Failed to remove directory ${dirPath}: ${error}`);
-            return false;
-        }
-    }
-
-    async uninstallIPFS(options = {}) {
-        await this.killProcessByPattern('ipfs.*daemon');
-        await this.killProcessByPattern('ipfs-cluster-follow');
-        await this.removeDirectorySync(this.ipfsPath);
-        await this.removeDirectorySync(path.join(os.homedir(), '.ipfs-cluster-follow', 'ipfs_cluster', 'api-socket'));
-        return true;
-    }
-
-    async testUninstall(options = {}) {
-        if (['leecher', 'worker', 'master'].includes(this.role)) {
-            this.uninstallIPFS();
-        }
-        if (this.role === "master") {
-            this.uninstallIPFSClusterService();
-            this.uninstallIPFSClusterCtl();
-        }
-        if (this.role === "worker") {
-            this.uninstallIPFSClusterFollow();
-        }
-    }
-
-    async installExecutables(options = {}) {
-        let results = {};
-        if (['leecher', 'worker', 'master'].includes(this.role)) {
-            let ipfs = await this.installIPFSDaemon();
-            results["ipfs"] = ipfs;
-        }
-        if (this.role === "master") {
-            let clusterService = await this.installIPFSClusterService();
-            let clusterCtl = await this.installIPFSClusterCtl();
-            results["clusterService"] = clusterService;
-            results["clusterCtl"] = clusterCtl;
-        }
-        if (this.role === "worker") {
-            let clusterFollow = await this.installIPFSClusterFollow();
-            results["clusterFollow"] = clusterFollow;
-        }
-        return results;
-    }
-
-
-    async configExecutables(options = {}) {
-        let results = {};
-        if (['leecher', 'worker', 'master'].includes(this.role)) {
-            let ipfsConfig = await this.configIPFS();
-            results["ipfs_config"] = ipfsConfig.config;
-        }
-        if (this.role === "master") {
-            let clusterServiceConfig = await this.configIPFSClusterService();
-            let clusterCtlConfig = await this.configIPFSClusterCtl();
-            results["clusterServiceConfig"] = clusterServiceConfig.config;
-            results["clusterCtlConfig"] = clusterCtlConfig.config;
-        }
-        if (this.role === "worker") {
-            let clusterFollowConfig = this.configIPFSClusterFollow();
-            results["clusterFollowConfig"] = clusterFollowConfig.config;
-        }
-        return results;
-    }
-
-    async ipfsTestInstall() {
-        try {
-            execSync('which ipfs');
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-
-    async ipfsClusterServiceTestInstall() {
-        try {
-            execSync('which ipfs-cluster-service');
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-
-    async ipfsClusterFollowTestInstall() {
-        try {
-            execSync('which ipfs-cluster-follow');
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-
-    async ipfsClusterCtlTestInstall() {
-        try {
-            execSync('which ipfs-cluster-ctl');
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-
-    async ipgetTestInstall() {
-        try {
-            execSync('which ipget');
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-
-    async installAndConfigure() {
-        let results = {};
-        let options = {diskStats: this.diskStats, ipfsPath: this.ipfsPath, clusterName: this.clusterName, clusterLocation: this.clusterLocation, secret: this.secret};
-        try {
-            if (['leecher', 'worker', 'master'].includes(this.role)) {
-                // Assuming these methods are implemented and properly handle async operations
-                this.installIPGet();
-                this.installIPFSDaemon();
-                const ipfsConfig =  await this.configIPFS(options)
-                results.ipfs = true; // Assuming installation success
-                results.ipfs_config = ipfsConfig;
-                //await this.runIPFSDaemon();
-            }
-            if (this.role === 'master') {
-                const clusterService = this.installIPFSClusterService(options);
-                const clusterCtl = this.installIPFSClusterCtl(options);
-                const clusterServiceConfig = await this.configIPFSClusterService(options);
-                const clusterCtlConfig = await this.configIPFSClusterCtl(options);
-                results.clusterService = clusterService;
-                results.clusterCtl = clusterCtl;
-                results.clusterServiceConfig = clusterServiceConfig;
-                results.clusterCtlConfig = clusterCtlConfig;
-                //await this.runIPFSClusterService(options);
-            }
-            if (this.role === 'worker') {
-                const clusterFollow = this.installIPFSClusterFollow(options);
-                const clusterFollowConfig = await this.configIPFSClusterFollow(options);
-                results.clusterFollow = clusterFollow;
-                results.clusterFollowConfig = clusterFollowConfig;
-                //await this.runIPFSClusterFollow(options);
-            }
-
-            // Systemctl daemon reload
-            if (os.userInfo().username == "root") {
-                exec('systemctl daemon-reload');
-                results.systemctl_reload = true;
-            }
-        } catch (error) {
-            console.error('Error during installation and configuration:', error);
-            return null; // Or handle the error as needed
-        }
-
-        return results;
-    }
-
-}
-// run this if the script is run directly
-
-async function main(){
-    const meta = {
-        role: "master",
-        clusterName: "cloudkit_storage",
-        clusterLocation: "/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv",
-        secret: "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3",
-    };
-
-    // Initialize the IPFS configuration manager with the provided metadata
-    const install_ipfs = new InstallIPFS(undefined, meta);
-
-    // Execute the installation and configuration process
-    async function runInstallationAndConfiguration() {
-        try {
-            const results = await install_ipfs.installAndConfigure();
-            console.log('Installation and Configuration Results:', results);
-        } catch (error) {
-            console.error('An error occurred during the installation and configuration process:', error);
-        }
-    }
-
-    await runInstallationAndConfiguration();
-}
-
-main();
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-follow.service b/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-follow.service
deleted file mode 100644
index 2a86006..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-follow.service
+++ /dev/null
@@ -1,12 +0,0 @@
-[Unit]
-Description=IPFS Cluster Follow Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs-cluster-follow run
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-service.service b/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-service.service
deleted file mode 100644
index 13fd35a..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs-cluster-service.service
+++ /dev/null
@@ -1,12 +0,0 @@
-[Unit]
-Description=IPFS Cluster Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs-cluster-service daemon
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs.js b/huggingface_scraper/ipfs_kit_lib/ipfs.js
deleted file mode 100644
index c1aa767..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs.js
+++ /dev/null
@@ -1,685 +0,0 @@
-import { exec, execSync } from 'child_process';
-import fs from 'fs';
-import os from 'os';
-import path from 'path';
-
-export class ipfs {
-    constructor(resources, meta) {
-        if (meta !== null) {
-            if ('config' in meta) {
-                if (meta['config'] !== null) {
-                    this.config = meta['config'];
-                }
-            }
-            if ('role' in meta) {
-                if (meta['role'] !== null) {
-                    this.role = meta['role'];
-                    if (!['master', 'worker', 'leecher'].includes(this.role)) {
-                        throw new Error('role is not either master, worker, leecher');
-                    } else {
-                        this.role = 'leecher';
-                    }
-                }
-            }
-            if ('cluster_name' in meta) {
-                if (meta['cluster_name'] !== null) {
-                    this.cluster_name = meta['cluster_name'];
-                }
-            }
-            if ('ipfs_path' in meta) {
-                if (meta['ipfs_path'] !== null) {
-                    this.ipfsPath = meta['ipfs_path'];
-                }
-            }
-            if (this.role === 'leecher' || this.role === 'worker' || this.role === 'master') {
-                this.commands = {};
-            }
-        }
-    }
-
-    async daemon_start(kwargs = {}) {
-        let cluster_name;
-        if ('cluster_name' in this) {
-            cluster_name = this.cluster_name;
-        }
-        if ('cluster_name' in kwargs) {
-            cluster_name = kwargs['cluster_name'];
-        }
-
-        let results1 = null;
-        let results2 = null;
-        let ipfs_ready = false;
-
-        // Run this if root and check if it passes 
-        if (os.userInfo().uid === 0) {
-            try {
-                const command1 = "systemctl start ipfs";
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        console.log(`Error starting ipfs: ${error.message}`);
-                        results1 = error.message;
-                    } else {
-                        results1 = stdout;
-
-                        const command2 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-                        exec(command2, (error, stdout, stderr) => {
-                            if (!error && parseInt(stdout.trim()) > 0) {
-                                ipfs_ready = true;
-                            }
-                        });
-                    }
-                });
-            } catch (error) {
-                results1 = error.message;
-            }
-        }
-
-        // Run this if user is not root or root user fails check if it passes
-        if (os.userInfo().uid !== 0 || ipfs_ready === false) {
-            try {
-                const command2 = `export IPFS_PATH=${path.resolve(path.join(this.ipfsPath,"ipfs"))} && ipfs daemon --enable-gc --enable-pubsub-experiment`;
-                //const execute2 = execSync(command2);
-                const execute2 = exec(command2, (error, stdout, stderr) => {
-                    if (error) {
-                        console.log(`Error starting ipfs: ${error.message}`);
-                        results1 = error.message;
-                    }
-                });
-                //results2 = execute2.toString();
-            } catch (error) {
-                console.log(`Error starting ipfs: ${error.message}`);
-                results2 = error.message;
-            }
-        }
-
-        const results = {
-            "systemctl": results1,
-            "bash": results2
-        };
-
-        return results;
-    }
-
-
-    async daemon_stop(kwargs = {}) {
-        let cluster_name;
-        if ('cluster_name' in this) {
-            cluster_name = this.cluster_name;
-        }
-        if ('cluster_name' in kwargs) {
-            cluster_name = kwargs['cluster_name'];
-        }
-
-        let results1 = null;
-        let results2 = null;
-        let ipfs_ready = false;
-
-        // Run this if root and check if it passes 
-        if (os.userInfo().uid === 0) {
-            try {
-                const command1 = "systemctl stop ipfs";
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        results1 = error.message;
-                    } else {
-                        results1 = stdout;
-
-                        const command2 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l";
-                        exec(command2, (error, stdout, stderr) => {
-                            if (!error && parseInt(stdout.trim()) === 0) {
-                                ipfs_ready = true;
-                            }
-                        });
-                    }
-                });
-            } catch (error) {
-                results1 = error.message;
-            }
-        }
-
-        // Run this if user is not root or root user fails check if it passes
-        if (os.userInfo().uid !== 0 || ipfs_ready === false) {
-            try {
-                const command2 = "ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | xargs kill -9";
-                exec(command2, (error, stdout, stderr) => {
-                    if (error) {
-                        results2 = error.message;
-                    } else {
-                        results2 = stdout;
-                    }
-                });
-            } catch (error) {
-                results2 = error.message;
-            }
-        }
-
-        const results = {
-            "systemctl": results1,
-            "bash": results2
-        };
-
-        return results;
-    }
-
-
-    async ipfs_resize(size, kwargs = {}) {
-        const command1 = this.daemon_stop();
-        const command2 = `ipfs config --json Datastore.StorageMax ${size}GB`;
-        const results1 = await new Promise((resolve, reject) => {
-            exec(command2, (error, stdout, stderr) => {
-                if (error) {
-                    reject(error.message);
-                } else {
-                    resolve(stdout);
-                }
-            });
-        });
-        const command3 = this.daemon_start();
-        return results1;
-    }
-
-    async ipfs_ls_pin(kwargs = {}) {
-        if ('hash' in kwargs) {
-            const hash = kwargs['hash'];
-            let request1 = null;
-            try {
-                request1 = await this.ipfs_execute({
-                    "command": "cat",
-                    "hash": hash
-                });
-            } catch (error) {
-                console.error(error);
-            }
-            if (request1 !== null) {
-                return request1;
-            }
-            let request2 = null;
-            try {
-                const command = `ipfs cat ${hash}`;
-                request2 = await new Promise((resolve, reject) => {
-                    exec(command, (error, stdout, stderr) => {
-                        if (error) {
-                            reject(error.message);
-                        } else {
-                            resolve(stdout);
-                        }
-                    });
-                });
-            } catch (error) {
-                console.error(error);
-            }
-            if (request2 !== null) {
-                return request2;
-            }
-        }
-        throw new Error("hash not found");
-    }
-
-
-    async ipfs_get_pinset(kwargs = {}) {
-        const this_tempfile = path.join(os.tmpdir(), 'temp.txt');
-        const command = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs pin ls -s > ${this_tempfile}`;
-        await new Promise((resolve, reject) => {
-            exec(command, (error, stdout, stderr) => {
-                if (error) {
-                    reject(error.message);
-                } else {
-                    resolve(stdout);
-                }
-            });
-        });
-        const file_data = fs.readFileSync(this_tempfile, 'utf8');
-        const pinset = {};
-        const parse_results = file_data.split("\n");
-        for (let i = 0; i < parse_results.length; i++) {
-            const data = parse_results[i].split(" ");
-            if (data.length > 1) {
-                pinset[data[0]] = data[1];
-            }
-        }
-        return pinset;
-    }
-
-    async ipfs_add_pin(pin, kwargs = {}) {
-        const dirname = path.dirname(__filename);
-        let result1;
-        try {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && cd ${this.ipfsPath}ipfs/ && ipfs pin add ${pin}`;
-            result1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-        } catch (error) {
-            result1 = error;
-        }
-        return result1;
-    }
-
-    async ipfs_mkdir(path, kwargs = {}) {
-        const this_path_split = path.split("/");
-        let this_path = "";
-        const results = [];
-        for (let i = 0; i < this_path_split.length; i++) {
-            this_path += this_path_split[i] + "/";
-            const command1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs files mkdir ${this_path}`;
-            const result1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            results.push(result1);
-        }
-        return results;
-    }
-
-
-    async ipfs_add_path2(path, kwargs = {}) {
-        let ls_dir = [];
-        if (!fs.existsSync(path)) {
-            throw new Error("path not found");
-        }
-        if (fs.lstatSync(path).isFile()) {
-            ls_dir = [path];
-            await this.ipfs_mkdir(path.dirname(path), kwargs);
-		} else if (fs.lstatSync(path).isDirectory()) {
-            await this.ipfs_mkdir(path, kwargs);
-            ls_dir = fs.readdirSync(path).map(file => path.join(path, file));
-        }
-        const results1 = [];
-        for (let i = 0; i < ls_dir.length; i++) {
-            let argstring = ` --to-files=${ls_dir[i]} `;
-            const command1 = `ipfs add ${argstring}${ls_dir[i]}`;
-            const result1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            results1.push(result1);
-        }
-        return results1;
-    }
-
-    async ipfs_add_path(path, kwargs = {}) {
-        let argstring = "";
-        let ls_dir = path;
-        if (!fs.existsSync(path)) {
-            throw new Error("path not found");
-        }
-        if (fs.lstatSync(path).isFile()) {
-            await this.ipfs_mkdir(path.dirname(path), kwargs);
-        } else if (fs.lstatSync(path).isDirectory()) {
-            await this.ipfs_mkdir(path, kwargs);
-        }
-        argstring += `--recursive --to-files=${ls_dir} `;
-        const command1 = `ipfs add ${argstring}${ls_dir}`;
-        const result1 = await new Promise((resolve, reject) => {
-            exec(command1, (error, stdout, stderr) => {
-                if (error) {
-                    reject(error.message);
-                } else {
-                    resolve(stdout);
-                }
-            });
-        });
-        const results = {};
-        const result_split = result1.split("\n");
-        for (let i = 0; i < result_split.length; i++) {
-            const parts = result_split[i].split(" ");
-            if (parts.length > 1) {
-                results[parts[2]] = parts[1];
-            }
-        }
-        return results;
-    }
-
-
-    async ipfs_remove_path(path, kwargs = {}) {
-        let result1 = null;
-        let result2 = null;
-        const stats = await this.ipfs_stat_path(path, kwargs);
-        if (Object.keys(stats).length === 0) {
-            throw new Error("path not found");
-        }
-        const pin = stats['pin'];
-        if (stats["type"] === "file") {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs files rm ${path}`;
-            result1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            const command2 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs pin rm ${pin}`;
-            result2 = await new Promise((resolve, reject) => {
-                exec(command2, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            result2 = result2.split("\n");
-        } else if (stats["type"] === "directory") {
-            const contents = await this.ipfs_ls_path(path, kwargs);
-            for (let i = 0; i < contents.length; i++) {
-                if (contents[i].length > 0) {
-                    result1 = await this.ipfs_remove_path(`${path}/${contents[i]}`, kwargs);
-                }
-            }
-        } else {
-            throw new Error("unknown path type");
-        }
-        const results = {
-            "files_rm": result1,
-            "pin_rm": result2
-        };
-        return results;
-    }
-
-    async ipfs_stat_path(path, kwargs = {}) {
-        try {
-            const stat1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs files stat ${path}`;
-            const results1 = await new Promise((resolve, reject) => {
-                exec(stat1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            const results1Split = results1.split("\n");
-            if (results1Split.length > 0 && Array.isArray(results1Split)) {
-                const pin = results1Split[0];
-                const size = parseFloat(results1Split[1].split(": ")[1]);
-                const culumulative_size = parseFloat(results1Split[2].split(": ")[1]);
-                const child_blocks = parseFloat(results1Split[3].split(": ")[1]);
-                const type = results1Split[4].split(": ")[1];
-                const results = {
-                    "pin": pin,
-                    "size": size,
-                    "culumulative_size": culumulative_size,
-                    "child_blocks": child_blocks,
-                    "type": type
-                };
-                return results;
-            } else {
-                return false;
-            }
-        } catch (error) {
-            console.error(error.message);
-            return false;
-        }
-    }
-
-
-    async ipfs_name_resolve(kwargs = {}) {
-        let result1 = null;
-        try {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}/ipfs/ && ipfs name resolve ${kwargs['path']}`;
-            result1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-        } catch (error) {
-            result1 = error.message;
-        }
-        return result1;
-    }
-
-    async ipfs_name_publish(path, kwargs = {}) {
-        if (!fs.existsSync(path)) {
-            throw new Error("path not found");
-        }
-        let results1 = null;
-        let results2 = null;
-        try {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}/ipfs/ && ipfs add --cid-version 1 ${path}`;
-            results1 = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            results1 = results1.trim();
-            const cid = results1.split(" ")[1];
-            const fname = results1.split(" ")[2];
-            results1 = {
-                [fname]: cid
-            };
-        } catch (error) {
-            results1 = error.message;
-        }
-
-        try {
-            const command2 = `export IPFS_PATH=${this.ipfsPath}/ipfs/ && ipfs name publish ${results1[Object.keys(results1)[0]]}`;
-            results2 = await new Promise((resolve, reject) => {
-                exec(command2, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            results2 = results2.split(":")[0].split(" ")[results2.split(":")[0].split(" ").length - 1];
-        } catch (error) {
-            results2 = error.message;
-        }
-
-        const results = {
-            "add": results1,
-            "publish": results2
-        };
-        return results;
-    }
-
-
-    async ipfs_ls_path(path, kwargs = {}) {
-        let results1 = null;
-        try {
-            const stat1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs files ls ${path}`;
-            results1 = await new Promise((resolve, reject) => {
-                exec(stat1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            results1 = results1.split("\n");
-        } catch (error) {
-            results1 = error.message;
-        }
-        if (results1.length > 0 && Array.isArray(results1)) {
-            return results1;
-        } else {
-            return false;
-        }
-    }
-
-    async ipfs_remove_pin(cid, kwargs = {}) {
-        let result1 = null;
-        let stdout = null;
-        let stderr = null;
-        try {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs pin rm ${cid}`;
-            const output = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject({ stdout, stderr });
-                    } else {
-                        resolve({ stdout, stderr });
-                    }
-                });
-            });
-            stdout = output.stdout;
-            stderr = output.stderr;
-        } catch (error) {
-            result1 = error.message;
-        }
-        if (stdout && stdout.includes("unpinned")) {
-            result1 = true;
-        }
-        return result1;
-    }
-
-
-    async ipfs_remove_pin(cid, kwargs = {}) {
-        let result1 = null;
-        let stdout = null;
-        let stderr = null;
-        try {
-            const command1 = `export IPFS_PATH=${this.ipfsPath}ipfs/ && ipfs pin rm ${cid}`;
-            const output = await new Promise((resolve, reject) => {
-                exec(command1, (error, stdout, stderr) => {
-                    if (error) {
-                        reject({ stdout, stderr });
-                    } else {
-                        resolve({ stdout, stderr });
-                    }
-                });
-            });
-            stdout = output.stdout;
-            stderr = output.stderr;
-        } catch (error) {
-            result1 = error.message;
-        }
-        if (stdout && stdout.includes("unpinned")) {
-            result1 = true;
-        }
-        return result1;
-    }
-
-    async test_ipfs() {
-        let detect = null;
-        try {
-            detect = await new Promise((resolve, reject) => {
-                exec("which ipfs", (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-        } catch (error) {
-            detect = error.message;
-        }
-        if (detect && detect.length > 0) {
-            return true;
-        } else {
-            return false;
-        }
-    }
-
-    async ipfs_execute(command, kwargs = {}) {
-        if (typeof kwargs !== 'object') {
-            throw new Error("kwargs must be an object");
-        }
-
-        const executable = "ipfs ";
-        const options = ["add", "pin", "unpin", "get", "cat", "ls", "refs", "refs-local", "refs-local-recursive", "refs-remote", "refs-remote-recursive", "repo", "version"];
-        let execute = "";
-
-        if (command === "add") {
-            execute = `${executable}add ${kwargs.file}`;
-        }
-
-        if (!kwargs.hash) {
-            throw new Error("hash not found in kwargs");
-        }
-
-        if (command === "get") {
-            execute = `${executable}get ${kwargs.hash} -o ${kwargs.file}`;
-        }
-
-        if (command === "pin") {
-            execute = `${executable}pin add ${kwargs.hash}`;
-        }
-
-        if (command === "unpin") {
-            execute = `${executable}pin rm ${kwargs.hash}`;
-        }
-
-        if (command === "cat") {
-            execute = `${executable}cat ${kwargs.hash}`;
-        }
-
-        if (command === "ls") {
-            execute = `${executable}ls ${kwargs.hash}`;
-        }
-
-        if (command === "refs") {
-            execute = `${executable}refs ${kwargs.hash}`;
-        }
-
-        if (command === "refs-local") {
-            execute = `${executable}refs local ${kwargs.hash}`;
-        }
-
-        if (command === "refs-local-recursive") {
-            execute = `${executable}refs local --recursive ${kwargs.hash}`;
-        }
-
-        if (command === "refs-remote") {
-            execute = `${executable}refs remote ${kwargs.hash}`;
-        }
-
-        if (command === "refs-remote-recursive") {
-            execute = `${executable}refs remote --recursive ${kwargs.hash}`;
-        }
-
-        if (command === "repo") {
-            execute = `${executable}repo ${kwargs.hash}`;
-        }
-
-        if (command === "version") {
-            execute = `${executable}version ${kwargs.hash}`;
-        }
-
-        try {
-            const output = await new Promise((resolve, reject) => {
-                exec(execute, (error, stdout, stderr) => {
-                    if (error) {
-                        reject(error.message);
-                    } else {
-                        resolve(stdout);
-                    }
-                });
-            });
-            console.log(`stdout: ${output}`);
-            return output;
-        } catch (error) {
-            console.log(`error: ${error}`);
-            return error;
-        }
-    }
-
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs.service b/huggingface_scraper/ipfs_kit_lib/ipfs.service
deleted file mode 100644
index de67202..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs.service
+++ /dev/null
@@ -1,11 +0,0 @@
-Description=IPFS Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs daemon --enable-gc --enable-pubsub-experiment \"
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_ctl.js b/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_ctl.js
deleted file mode 100644
index b90243b..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_ctl.js
+++ /dev/null
@@ -1,257 +0,0 @@
-export class IPFSClusterCtl {
-    constructor(resources, meta = null) {
-        this.config = {};
-        this.role = "leecher"; // Default role
-
-        if (meta !== null) {
-            if ("config" in meta && meta['config'] !== null) {
-                this.config = meta['config'];
-            }
-            if ("role" in meta && meta['role'] !== null) {
-                if (["master", "worker", "leecher"].includes(meta['role'])) {
-                    this.role = meta['role'];
-                } else {
-                    throw new Error("role is not either master, worker, leecher");
-                }
-            }
-        }
-
-        // Any additional setup for roles can be added here
-        if (["leecher", "worker", "master"].includes(this.role)) {
-            // Perform role-specific initialization
-        }
-    }
-    
-    // Helper function to recursively walk through directory
-    walkSync(dir, fileList = []) {
-        fs.readdirSync(dir).forEach(file => {
-            const filePath = path.join(dir, file);
-            if (fs.statSync(filePath).isDirectory()) {
-                this.walkSync(filePath, fileList);
-            } else {
-                fileList.push(filePath);
-            }
-        });
-        return fileList;
-    }
-
-    ipfsClusterCtlAddPin(dirPath, metadata = {}) {
-        if (!fs.existsSync(dirPath)) {
-            throw new Error("Path not found");
-        }
-        
-        const files = this.walkSync(dirPath);
-        const results = files.map(file => {
-            const relativePath = path.relative(dirPath, file);
-            let argString = metadata[relativePath] ? ` --metadata ${metadata[relativePath]}` : "";
-            let command = `ipfs-cluster-ctl pin add ${file}${argString}`;
-            try {
-                const output = execSync(command).toString();
-                return output;
-            } catch (error) {
-                console.error(`Failed to execute command for file ${file}: ${error}`);
-                return null;
-            }
-        });
-
-        return results.filter(result => result !== null);
-    }
-
-
-    ipfsClusterCtlRemovePin(dirPath) {
-        if (!fs.existsSync(dirPath)) {
-            throw new Error("Path not found");
-        }
-
-        const files = this.walkSync(dirPath);
-        const results = files.map(file => {
-            let command = `ipfs-cluster-ctl pin rm ${file}`;
-            try {
-                const output = execSync(command).toString();
-                return `Unpinned: ${file}`;
-            } catch (error) {
-                console.error(`Failed to execute command for file ${file}: ${error}`);
-                return `Failed to unpin: ${file}`;
-            }
-        });
-
-        return results;
-    }
-
-
-    // Simplified directory traversal for demonstration
-    getDirectories(basePath) {
-        return fs.readdirSync(basePath, { withFileTypes: true })
-            .filter(dirent => dirent.isDirectory())
-            .map(dirent => path.join(basePath, dirent.name));
-    }
-
-    ipfsClusterCtlAddPinRecursive(dirPath, metadata = {}) {
-        if (!fs.existsSync(dirPath)) {
-            throw new Error("Path not found");
-        }
-
-        // If the path is a directory, traverse and pin each subdirectory recursively.
-        // Otherwise, pin the file directly.
-        let targets = fs.statSync(dirPath).isDirectory() ? this.getDirectories(dirPath) : [dirPath];
-        const results = targets.map(target => {
-            const relativePath = path.relative(dirPath, target);
-            let argString = metadata[relativePath] ? ` --metadata ${metadata[relativePath]}` : "";
-            let command = `ipfs-cluster-ctl pin add -r ${target}${argString}`;
-
-            try {
-                const output = execSync(command, { encoding: 'utf-8' });
-                return `Pinned: ${target}`;
-            } catch (error) {
-                console.error(`Failed to execute command for ${target}: ${error.message}`);
-                return `Failed to pin: ${target}`;
-            }
-        });
-
-        return results;
-    }
-
-
-    ipfs_cluster_ctl_execute(args) {
-        if (!this.options.includes(args[0])) {
-            console.error(`"${args[0]}" is not a valid command.`);
-            return;
-        }
-
-        let command = `${this.executable}${args[0]}`;
-
-        if (args[1]) {
-            command += ` ${args[1]}`;
-
-            // Validate subcommands for certain options
-            switch (args[0]) {
-                case "peers":
-                    if (!["ls", "rm"].includes(args[1])) {
-                        throw new Error("Invalid option for 'peers'");
-                    }
-                    break;
-                case "pin":
-                    if (!["add", "rm", "ls", "update"].includes(args[1])) {
-                        throw new Error("Invalid option for 'pin'");
-                    }
-                    break;
-                case "health":
-                    if (!["graph", "metrics", "alerts"].includes(args[1])) {
-                        throw new Error("Invalid option for 'health'");
-                    }
-                    break;
-                case "ipfs":
-                    if (args[1] !== "gc") {
-                        throw new Error("Invalid option for 'ipfs'");
-                    }
-                    break;
-            }
-        }
-
-        // Special handling for the 'add' command with multiple options
-        if (args[0] === "add" && args.length > 2) {
-            const path = args.pop(); // Assuming the last argument is always the path
-            const options = args.slice(1).join(" ");
-            command = `${this.executable}add ${options} ${path}`;
-        }
-
-        exec(command, (error, stdout, stderr) => {
-            if (error) {
-                console.error(`Error executing command: ${error}`);
-                return;
-            }
-            if (stderr) {
-                console.error(`stderr: ${stderr}`);
-                return;
-            }
-            console.log(`stdout: ${stdout}`);
-        });
-    }
-
-
-    getPinset() {
-        // Create a temporary file path
-        const tempFile = path.join(os.tmpdir(), `pinset-${Date.now()}.txt`);
-        try {
-            // Redirect output of the command to the temporary file
-            execSync(`ipfs-cluster-ctl pin ls > ${tempFile}`);
-            
-            // Read and parse the temporary file
-            const fileData = fs.readFileSync(tempFile, 'utf8');
-            const pinset = this.parsePinsetData(fileData);
-            
-            // Clean up the temporary file
-            fs.unlinkSync(tempFile);
-
-            return pinset;
-        } catch (error) {
-            console.error(`Failed to get pinset: ${error.message}`);
-            // Clean up the temporary file in case of an error
-            if (fs.existsSync(tempFile)) {
-                fs.unlinkSync(tempFile);
-            }
-            return {};
-        }
-    }
-
-    parsePinsetData(fileData) {
-        const pinset = {};
-        const parseResults = fileData.split("\n");
-        parseResults.forEach(resultLine => {
-            const resultsList = resultLine.split(" | ");
-            if (resultsList.length > 1) { // Ensure it's not an empty line
-                const resultDict = {};
-                resultsList.forEach(cell => {
-                    const cellSplit = cell.split(":").map(part => part.trim());
-                    if (cellSplit.length > 1) {
-                        resultDict[cellSplit[0]] = cellSplit[1];
-                    }
-                });
-                if (Object.keys(resultDict).length > 0) {
-                    pinset[resultsList[0]] = resultDict;
-                }
-            }
-        });
-        return pinset;
-    }
-
-    ipfsClusterCtlStatus() {
-        try {
-            const command = "ipfs-cluster-ctl status";
-            const results = execSync(command, { encoding: 'utf8' }); // Directly get the output as a string
-            return results;
-        } catch (error) {
-            console.error(`Error executing ipfs-cluster-ctl status: ${error.message}`);
-            return null;
-        }
-    }
-
-    testIPFSClusterCtl() {
-        return new Promise((resolve, reject) => {
-            exec("which ipfs-cluster-ctl", (error, stdout) => {
-                if (error) {
-                    resolve(false);
-                } else {
-                    resolve(stdout.trim().length > 0);
-                }
-            });
-        });
-    }
-}
-
-function main()
-{
-    (async () => {
-        const thisIpfsClusterCtl = new IPFSClusterCtl();
-        const results = await thisIpfsClusterCtl.testIPFSClusterCtl();
-        console.log(results);
-
-        if (results) {
-            const status = thisIpfsClusterCtl.ipfsClusterCtlStatus();
-            console.log(status);
-        } else {
-            console.log("ipfs-cluster-ctl is not installed.");
-        }
-    })();
-
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_follow.js b/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_follow.js
deleted file mode 100644
index 441de61..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_follow.js
+++ /dev/null
@@ -1,251 +0,0 @@
-import { execSync, exec } from 'child_process';
-import os from 'os';
-import path, { parse } from 'path';
-import fs from 'fs';
-import * as install_ipfs from './install_ipfs.js';
-
-export class IPFSClusterFollow {
-    constructor(resources, meta) {
-        // Default values
-        this.config = {};
-        this.role = 'leecher'; // default role
-        this.clusterName = '';
-
-        // Set from meta if provided
-        if (meta.config) {
-            this.config = meta.config;
-        }
-
-        if (meta.role && ['master', 'worker', 'leecher'].includes(meta.role)) {
-            this.role = meta.role;
-        } else if (meta.role) {
-            throw new Error("role is not either master, worker, leecher");
-        }
-
-        if (meta.ipfs_path) {
-            this.ipfsPath = meta.ipfs_path;
-        }
-
-        if (meta.cluster_name) {
-            this.clusterName = meta.cluster_name;
-        }
-    }
-
-    async ipfsFollowStart(clusterName = this.clusterName) {
-        let results = { systemctl: false, bash: false };
-        let detectResults
-        if (os.userInfo().uid === 0) {
-            try {
-                // Attempt to start the ipfs-cluster-follow service
-                let systemctlStart = execSync("systemctl start ipfs-cluster-follow").toString();
-                results.systemctl = systemctlStart;
-                // Check if the service is running
-                detectResults = execSync("ps -ef | grep ipfs-cluster-follow | grep -v grep").toString().trim();
-                        
-                if (detectResults.length === 0) {
-                    const homeDir = os.homedir();
-                    const followDir = path.join(homeDir, ".ipfs-cluster-follow", clusterName);
-                    // Check for and remove the api-socket file if it exists
-                    const apiSocketPath = path.join(followDir, "api-socket");
-                    if (fs.existsSync(apiSocketPath)) {
-                        fs.unlinkSync(apiSocketPath);
-                        results.bash = true;
-                    }
-                    // Attempt to start the ipfs-cluster-follow service
-                    let systemctlStart = execSync("systemctl start ipfs-cluster-follow").toString();
-                    results.systemctl = systemctlStart;
-                    // Check if the service is running
-                    detectResults = execSync("ps -ef | grep ipfs-cluster-follow | grep -v grep").toString().trim();
-                }
-            }
-            catch (error) {
-                console.log(`Error starting ipfs-cluster-follow: ${error.message}`);
-                results.systemctl = `Error: ${error.message}`;
-            }
-        } 
-        if (os.userInfo().uid != 0 || results.systemctl.includes('Error') || detectResults.length === 0) {
-            try {            
-                // Attempt to run the ipfs-cluster-follow command
-                const commandRun = `/usr/local/bin/ipfs-cluster-follow ${clusterName} run`;
-                const process = exec(commandRun, (error, stdout, stderr) => {
-                    if (error) {
-                        console.error(`Error running ipfs-cluster-follow: ${error.message}`);
-                        if (error.message.includes("command not found")){
-                            let InstallIPFS = new install_ipfs.InstallIPFS();
-                            let installResults = InstallIPFS.installIPFSClusterFollow();
-                            let configResults = InstallIPFS.configIPFSClusterFollow();
-                            console.log(`Install IPFS Cluster Follow results: ${installResults}`);
-                            console.log(`Configure IPFS Cluster Follow results: ${configResults}`);
-                            console.log(`Attempting to run ipfs-cluster-follow again`);
-                            exec(commandRun, (error, stdout, stderr) => {
-                                if (error) {
-                                    console.error(`Error running ipfs-cluster-follow: ${error.message}`);
-                                }
-                                console.log(`ipfs-cluster-follow output: ${stdout}`);
-                            });
-                        }
-                        return;
-                    }
-                    console.log(`ipfs-cluster-follow output: ${stdout}`);
-                });
-            }
-            catch (error) {
-                console.log(`Error running ipfs-cluster-follow: ${error.message}`);
-                console.error(`Error in ipfsFollowStart: ${error.message}`);
-            }
-        } 
-        return results;
-    }
-
-    async ipfsFollowStop() {
-        let results = { systemctl: '', bash: '', 'api-socket': '' };
-        let clusterName = this.clusterName;
-        
-        if (os.userInfo().uid === 0) {
-            try {
-                // Attempt to stop the ipfs-cluster-follow service
-                const systemctlStop = execSync("systemctl stop ipfs-cluster-follow").toString();
-                results.systemctl = systemctlStop;
-            } catch (error) {
-                console.log(`Error stopping ipfs-cluster-follow: ${error.message}`)
-                results.systemctl = `Error: ${error.message}`;
-            }
-        }
-        if (os.userInfo().uid != 0 || results.systemctl.includes('Error')){
-            try {
-                // Forcefully kill the ipfs-cluster-follow process if it's still running
-                const listCommand = "ps -ef | grep ipfs-cluster-follow | grep -v grep | wc -l";
-                const listResults = execSync(listCommand).toString().trim();
-                if (parseInt(listResults) > 0) {              
-                    const killCommand = "ps -ef | grep ipfs-cluster-follow | grep -v grep | awk '{print $2}' | xargs kill -9";
-                    const killResults = execSync(killCommand).toString();
-                    results.bash = killResults;
-                }
-                else{
-                    results.bash = "No ipfs-cluster-follow process found to kill";
-                }
-            } catch (error) {
-                console.log(`Error killing ipfs-cluster-follow: ${error.message}`)
-                results.bash = `Error: ${error.message}`;
-            }
-        }
-
-        try {
-            // Remove the api-socket file
-            const apiSocketPath = path.join(os.homedir(), ".ipfs-cluster-follow", clusterName, "api-socket");
-            if (fs.existsSync(apiSocketPath)) {
-                fs.unlinkSync(apiSocketPath);
-                results['api-socket'] = 'Removed api-socket';
-            } else {
-                //console.log("api-socket not found, deleting not necessary");
-                results['api-socket'] = 'api-socket not found, deleting not necessary';
-            }
-        } catch (error) {
-            console.error(`Error removing api-socket: ${error.message}`);
-            results['api-socket'] = `Error removing api-socket: ${error.message}`;
-        }
-
-        return results;
-    }
-
-    async ipfsFollowList(clusterName = this.clusterName) {
-        let command = `ipfs-cluster-follow ${clusterName} list`;
-
-        try {
-            let results = execSync(command, { encoding: 'utf8' }).trim();
-
-            if (results.length > 0) {
-                let resultsArray = results.split("\n");
-                let resultsDict = {};
-
-                resultsArray.forEach((result) => {
-                    // Replace multiple spaces with a single space
-                    result = result.replace(/\s\s+/g, ' ');
-                    let parts = result.split(" ");
-
-                    // Assuming the first element is the value and the second is the key
-                    if (parts.length >= 2) {
-                        let key = parts[1];
-                        let value = parts[0];
-                        resultsDict[key] = value;
-                    }
-                });
-
-                return resultsDict;
-            } else {
-                return false;
-            }
-        } catch (error) {
-            console.error(`Error executing ipfs-cluster-follow list: ${error.message}`);
-            return false;
-        }
-    }
-
-
-    ipfsFollowInfo(kwargs = {}) {
-        let clusterName = this.clusterName;
-        let resultsDict = {};
-
-        try {
-            const command = `ipfs-cluster-follow ${clusterName} info`;
-            let results = execSync(command, { encoding: 'utf8' }).trim().split("\n");
-
-            if (results.length > 0) {
-                resultsDict = {
-                    clusterName: clusterName,
-                    configFolder: results[2].split(": ")[1],
-                    configSource: results[3].split(": ")[1],
-                    clusterPeerOnline: results[4].split(": ")[1],
-                    ipfsPeerOnline: results[5].split(": ")[1],
-                };
-            }
-        } catch (error) {
-            console.error(`Error executing ipfs-cluster-follow info: ${error.message}`);
-            if (error.message.includes("500")){
-                let InstallIPFS = new install_ipfs.InstallIPFS(undefined, { role: 'leecher', cluster_name: clusterName, ipfs_path: this.ipfsPath });
-                let installResults = InstallIPFS.installIPFSClusterFollow();
-                let configResults = InstallIPFS.configIPFSClusterFollow();
-                console.log(`Install IPFS Cluster Follow results: ${installResults}`);
-                console.log(`Configure IPFS Cluster Follow results: ${configResults}`);
-                console.log(`Attempting to run ipfs-cluster-follow info again`);
-                execSync(command, { encoding: 'utf8' });
-            }
-        }
-
-        return resultsDict;
-    }
-
-    async ipfs_follow_run(kwargs = {}) {
-        let cluster_name = this.cluster_name;
-        if ('cluster_name' in kwargs) {
-            cluster_name = kwargs['cluster_name'];
-        }
-
-        const command = `ipfs-cluster-follow ${cluster_name} run`;
-        let results = execSync(command).toString();
-        results = results.split("\n");
-        return results;
-    }
-
-    async test_ipfs_cluster_follow() {
-        let detect;
-        try {
-            detect = execSync('which ipfs-cluster-follow').toString();
-        } catch (error) {
-            detect = '';
-        }
-        return detect.length > 0;
-    }
-
-}
-
-async function main(){
-
-    const meta = {
-        cluster_name: "test"
-    };
-
-    const thisIpfsClusterFollow = new IpfsClusterFollow(meta);
-    const results = await thisIpfsClusterFollow.test_ipfs_cluster_follow();
-    console.log(results);
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_service.js b/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_service.js
deleted file mode 100644
index 3af0da0..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipfs_cluster_service.js
+++ /dev/null
@@ -1,53 +0,0 @@
- 
-import { execSync } from 'child_process';
-
-export class IpfsClusterService {
-    constructor(resources, meta = null) {
-        this.role = "leecher";
-        if (meta !== null) {
-            if ('config' in meta && meta['config'] !== null) {
-                this.config = meta['config'];
-            }
-            if ('role' in meta && meta['role'] !== null) {
-                if (!["master", "worker", "leecher"].includes(meta['role'])) {
-                    throw new Error("role is not either master, worker, leecher");
-                }
-                this.role = meta['role'];
-            }
-        }
-    }
-
-    async test_ipfs_cluster_service() {
-        let detect;
-        try {
-            detect = execSync('which ipfs-cluster-service').toString();
-        } catch (error) {
-            detect = '';
-        }
-        return detect.length > 0;
-    }
-
-    async ipfs_cluster_service_start() {
-        const command = "systemctl start ipfs-cluster-service";
-        const results = execSync(command).toString();
-        return results;
-    }
-
-    async ipfs_cluster_service_stop() {
-        const command = "systemctl stop ipfs-cluster-service";
-        const results = execSync(command).toString();
-        return results;
-    }
-
-    async ipfs_cluster_service_status() {
-        const command = "ipfs-cluster-service status";
-        const results = execSync(command).toString();
-        return results;
-    }
-}
-
-async function main(){
-    const thisIpfsClusterService = new IpfsClusterService();
-    const results = await thisIpfsClusterService.test_ipfs_cluster_service();
-    console.log(results);
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/ipget.js b/huggingface_scraper/ipfs_kit_lib/ipget.js
deleted file mode 100644
index 5e8c884..0000000
--- a/huggingface_scraper/ipfs_kit_lib/ipget.js
+++ /dev/null
@@ -1,94 +0,0 @@
-import { execSync } from 'child_process';
-
-export class ipget {
-    constructor(resources, meta = null) {
-        if (meta !== null) {
-            if ('config' in meta) {
-                if (meta['config'] !== null) {
-                    this.config = meta['config'];
-                }
-            }
-            if ('role' in meta) {
-                if (meta['role'] !== null) {
-                    this.role = meta['role'];
-                    if (!["master", "worker", "leecher"].includes(this.role)) {
-                        throw new Error("role is not either master, worker, leecher");
-                    } else {
-                        this.role = "leecher";
-                    }
-                }
-            }
-            if ('cluster_name' in meta) {
-                if (meta['cluster_name'] !== null) {
-                    this.cluster_name = meta['cluster_name'];
-                }
-            }
-            if ('ipfs_path' in meta) {
-                if (meta['ipfs_path'] !== null) {
-                    this.ipfsPath = meta['ipfs_path'];
-                }
-            }
-            if (this.role === "leecher" || this.role === "worker" || this.role === "master") {
-                // pass
-            }
-        }
-    }
-
-
-    async ipget_download_object(kwargs = {}) {
-        // NOTE: Make sure this function can download both files and folders 
-        if (!kwargs.cid) {
-            throw new Error("cid not found in kwargs");
-        }
-        if (!kwargs.path) {
-            throw new Error("path not found in kwargs");
-        }
-        if (fs.existsSync(kwargs.path)) {
-            // pass
-        }
-        //check if folder exists
-        if (!fs.existsSync(path.dirname(kwargs.path))) {
-            fs.mkdirSync(path.dirname(kwargs.path), { recursive: true });
-        }
-        
-        const command = `export IPFS_PATH=${this.ipfsPath} && ipfs get ${kwargs.cid} -o ${kwargs.path}`;
-        const process = exec(command);
-
-        const start_time = Date.now();
-        const timeout = 5000; // 5 seconds
-
-        return new Promise((resolve, reject) => {
-            process.on('exit', (code, signal) => {
-                if (signal) {
-                    reject(new Error("Command timed out"));
-                } else {
-                    const stats = fs.statSync(kwargs.path);
-                    const metadata = {
-                        "cid": kwargs.cid,
-                        "path": kwargs.path,
-                        "mtime": stats.mtimeMs,
-                        "filesize": stats.size
-                    };
-                    resolve(metadata);
-                }
-            });
-
-            setTimeout(() => {
-                process.kill();
-            }, timeout);
-        });
-    }
-
-    async test_ipget() {
-        try {
-            execSync('which ipget');
-            const ipget_download_object = await this.ipget_download_object({
-                cid: "QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1",
-                path: "/tmp/test"
-            });
-            return true;
-        } catch (error) {
-            return false;
-        }
-    }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/peerstore b/huggingface_scraper/ipfs_kit_lib/peerstore
deleted file mode 100755
index 40337bb..0000000
--- a/huggingface_scraper/ipfs_kit_lib/peerstore
+++ /dev/null
@@ -1,28 +0,0 @@
-/ip4/172.29.29.10/tcp/9096/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/192.168.0.20/tcp/57468/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/18100/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/28143/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/38053/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/25.18.152.214/tcp/9096/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.166.109/tcp/33661/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.209.166/tcp/18100/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.209.166/tcp/38053/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
diff --git a/huggingface_scraper/ipfs_kit_lib/service.json b/huggingface_scraper/ipfs_kit_lib/service.json
deleted file mode 100755
index 81b6568..0000000
--- a/huggingface_scraper/ipfs_kit_lib/service.json
+++ /dev/null
@@ -1,261 +0,0 @@
-{
-  "cluster": {
-    "peername": "master",
-    "secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3",
-    "leave_on_shutdown": false,
-    "listen_multiaddress": [
-      "/ip4/0.0.0.0/tcp/9096",
-      "/ip4/0.0.0.0/udp/9096/quic"
-    ],
-    "enable_relay_hop": true,
-    "connection_manager": {
-      "high_water": 400,
-      "low_water": 100,
-      "grace_period": "2m0s"
-    },
-    "dial_peer_timeout": "3s",
-    "state_sync_interval": "5m0s",
-    "pin_recover_interval": "12m0s",
-    "replication_factor_min": -1,
-    "replication_factor_max": -1,
-    "monitor_ping_interval": "15s",
-    "peer_watch_interval": "5s",
-    "mdns_interval": "10s",
-    "pin_only_on_trusted_peers": false,
-    "pin_only_on_untrusted_peers": false,
-    "disable_repinning": true,
-    "peer_addresses": []
-  },
-  "consensus": {
-    "crdt": {
-      "cluster_name": "ipfs-cluster",
-      "trusted_peers": [
-        "*"
-      ],
-      "batching": {
-        "max_batch_size": 0,
-        "max_batch_age": "0s"
-      },
-      "repair_interval": "1h0m0s"
-    }
-  },
-  "api": {
-    "ipfsproxy": {
-      "listen_multiaddress": "/ip4/127.0.0.1/tcp/9095",
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "log_file": "",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "1m0s",
-      "max_header_bytes": 4096
-    },
-    "pinsvcapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9097",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    },
-    "restapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9094",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    }
-  },
-  "ipfs_connector": {
-    "ipfshttp": {
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "connect_swarms_delay": "30s",
-      "ipfs_request_timeout": "5m0s",
-      "pin_timeout": "2m0s",
-      "unpin_timeout": "3h0m0s",
-      "repogc_timeout": "24h0m0s",
-      "informer_trigger_interval": 0
-    }
-  },
-  "pin_tracker": {
-    "stateless": {
-      "concurrent_pins": 10,
-      "priority_pin_max_age": "24h0m0s",
-      "priority_pin_max_retries": 5
-    }
-  },
-  "monitor": {
-    "pubsubmon": {
-      "check_interval": "15s"
-    }
-  },
-  "allocator": {
-    "balanced": {
-      "allocate_by": [
-        "tag:group",
-        "freespace"
-      ]
-    }
-  },
-  "informer": {
-    "disk": {
-      "metric_ttl": "30s",
-      "metric_type": "freespace"
-    },
-    "pinqueue": {
-      "metric_ttl": "30s",
-      "weight_bucket_size": 100000
-    },
-    "tags": {
-      "metric_ttl": "30s",
-      "tags": {
-        "group": "default"
-      }
-    }
-  },
-  "observations": {
-    "metrics": {
-      "enable_stats": false,
-      "prometheus_endpoint": "/ip4/127.0.0.1/tcp/8888",
-      "reporting_interval": "2s"
-    },
-    "tracing": {
-      "enable_tracing": false,
-      "jaeger_agent_endpoint": "/ip4/0.0.0.0/udp/6831",
-      "sampling_prob": 0.3,
-      "service_name": "cluster-daemon"
-    }
-  },
-  "datastore": {
-    "pebble": {
-      "pebble_options": {
-        "cache_size_bytes": 1073741824,
-        "bytes_per_sync": 1048576,
-        "disable_wal": false,
-        "flush_delay_delete_range": 0,
-        "flush_delay_range_key": 0,
-        "flush_split_bytes": 4194304,
-        "format_major_version": 1,
-        "l0_compaction_file_threshold": 750,
-        "l0_compaction_threshold": 4,
-        "l0_stop_writes_threshold": 12,
-        "l_base_max_bytes": 134217728,
-        "max_open_files": 1000,
-        "mem_table_size": 67108864,
-        "mem_table_stop_writes_threshold": 20,
-        "read_only": false,
-        "wal_bytes_per_sync": 0,
-        "levels": [
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 4194304
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 8388608
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 16777216
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 33554432
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 67108864
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 134217728
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 268435456
-          }
-        ],
-        "max_concurrent_compactions": 5
-      }
-    }
-  }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/service_follower.json b/huggingface_scraper/ipfs_kit_lib/service_follower.json
deleted file mode 100644
index 7e24995..0000000
--- a/huggingface_scraper/ipfs_kit_lib/service_follower.json
+++ /dev/null
@@ -1,261 +0,0 @@
-{
-  "cluster": {
-    "peername": "worker",
-    "secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3",
-    "leave_on_shutdown": false,
-    "listen_multiaddress": [
-      "/ip4/0.0.0.0/tcp/9096",
-      "/ip4/0.0.0.0/udp/9096/quic"
-    ],
-    "enable_relay_hop": true,
-    "connection_manager": {
-      "high_water": 400,
-      "low_water": 100,
-      "grace_period": "2m0s"
-    },
-    "dial_peer_timeout": "3s",
-    "state_sync_interval": "5m0s",
-    "pin_recover_interval": "12m0s",
-    "replication_factor_min": -1,
-    "replication_factor_max": -1,
-    "monitor_ping_interval": "15s",
-    "peer_watch_interval": "5s",
-    "mdns_interval": "10s",
-    "pin_only_on_trusted_peers": false,
-    "pin_only_on_untrusted_peers": false,
-    "disable_repinning": true,
-    "peer_addresses": []
-  },
-  "consensus": {
-    "crdt": {
-      "cluster_name": "ipfs-cluster",
-      "trusted_peers": [
-        "*"
-      ],
-      "batching": {
-        "max_batch_size": 0,
-        "max_batch_age": "0s"
-      },
-      "repair_interval": "1h0m0s"
-    }
-  },
-  "api": {
-    "ipfsproxy": {
-      "listen_multiaddress": "/ip4/127.0.0.1/tcp/9095",
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "log_file": "",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "1m0s",
-      "max_header_bytes": 4096
-    },
-    "pinsvcapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9097",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    },
-    "restapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9094",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    }
-  },
-  "ipfs_connector": {
-    "ipfshttp": {
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "connect_swarms_delay": "30s",
-      "ipfs_request_timeout": "5m0s",
-      "pin_timeout": "2m0s",
-      "unpin_timeout": "3h0m0s",
-      "repogc_timeout": "24h0m0s",
-      "informer_trigger_interval": 0
-    }
-  },
-  "pin_tracker": {
-    "stateless": {
-      "concurrent_pins": 10,
-      "priority_pin_max_age": "24h0m0s",
-      "priority_pin_max_retries": 5
-    }
-  },
-  "monitor": {
-    "pubsubmon": {
-      "check_interval": "15s"
-    }
-  },
-  "allocator": {
-    "balanced": {
-      "allocate_by": [
-        "tag:group",
-        "freespace"
-      ]
-    }
-  },
-  "informer": {
-    "disk": {
-      "metric_ttl": "30s",
-      "metric_type": "freespace"
-    },
-    "pinqueue": {
-      "metric_ttl": "30s",
-      "weight_bucket_size": 100000
-    },
-    "tags": {
-      "metric_ttl": "30s",
-      "tags": {
-        "group": "default"
-      }
-    }
-  },
-  "observations": {
-    "metrics": {
-      "enable_stats": false,
-      "prometheus_endpoint": "/ip4/127.0.0.1/tcp/8888",
-      "reporting_interval": "2s"
-    },
-    "tracing": {
-      "enable_tracing": false,
-      "jaeger_agent_endpoint": "/ip4/0.0.0.0/udp/6831",
-      "sampling_prob": 0.3,
-      "service_name": "cluster-daemon"
-    }
-  },
-  "datastore": {
-    "pebble": {
-      "pebble_options": {
-        "cache_size_bytes": 1073741824,
-        "bytes_per_sync": 1048576,
-        "disable_wal": false,
-        "flush_delay_delete_range": 0,
-        "flush_delay_range_key": 0,
-        "flush_split_bytes": 4194304,
-        "format_major_version": 1,
-        "l0_compaction_file_threshold": 750,
-        "l0_compaction_threshold": 4,
-        "l0_stop_writes_threshold": 12,
-        "l_base_max_bytes": 134217728,
-        "max_open_files": 1000,
-        "mem_table_size": 67108864,
-        "mem_table_stop_writes_threshold": 20,
-        "read_only": false,
-        "wal_bytes_per_sync": 0,
-        "levels": [
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 4194304
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 8388608
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 16777216
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 33554432
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 67108864
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 134217728
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 268435456
-          }
-        ],
-        "max_concurrent_compactions": 5
-      }
-    }
-  }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_kit_lib/test_fio.js b/huggingface_scraper/ipfs_kit_lib/test_fio.js
deleted file mode 100644
index fe7031c..0000000
--- a/huggingface_scraper/ipfs_kit_lib/test_fio.js
+++ /dev/null
@@ -1,140 +0,0 @@
-import { execSync } from 'child_process';
-
-export class TestFio {
-    constructor(resources, meta = null) {
-        // constructor body
-    }
-
-    call(method, kwargs = {}) {
-        if (method === "test") {
-            return this.test(kwargs);
-        }
-    }
-
-    disk_device_name_from_location(location) {
-        let directory_tree = location.split("/");
-
-        const command = "df -h";
-        let df = execSync(command).toString();
-        df = df.split("\n");
-        for (let line of df) {
-            if (line.includes(location)) {
-                const device = line.split(" ")[0];
-                return device;
-            } else {
-                while (directory_tree.length > 1) {
-                    directory_tree.pop();
-                    location = directory_tree.join("/");
-                    for (let line of df) {
-                        if (directory_tree.length === 1 && location === "") {
-                            location = "/";
-                        }
-                        if (line.includes(location)) {
-                            while (line.includes("  ")) {
-                                line = line.replace("  ", " ");
-                            }
-                            const mount = line.split(" ");
-                            if (mount[5] === location) {
-                                const device = mount[0];
-                                return device;
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        return "rootfs";
-    }
-
-
-    disk_device_total_capacity(device) {
-        const command = "df -h";
-        let df = execSync(command).toString();
-        df = df.split("\n");
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes("  ")) {
-                    line = line.replace("  ", " ");
-                }
-                const capacity = line.split(" ")[1];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    disk_device_used_capacity(device) {
-        const command = "df -h";
-        let df = execSync(command).toString();
-        df = df.split("\n");
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes("  ")) {
-                    line = line.replace("  ", " ");
-                }
-                const capacity = line.split(" ")[2];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    disk_device_avail_capacity(device) {
-        const command = "df -h";
-        let df = execSync(command).toString();
-        df = df.split("\n");
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes("  ")) {
-                    line = line.replace("  ", " ");
-                }
-                const capacity = line.split(" ")[3];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    disk_speed_4k(location) {
-        const tempFile = tmp.fileSync({ postfix: '.iso', dir: location });
-        const timestamp_0 = Date.now();
-        const command = `dd if=/dev/zero of=${tempFile.name} bs=4k count=8k conv=fdatasync`;
-        execSync(command);
-        const timestamp_1 = Date.now();
-        const write_speed = 32 / ((timestamp_1 - timestamp_0) / 1000);
-        const command2 = `dd if=${tempFile.name} of=/dev/null bs=4k`;
-        execSync(command2);
-        const timestamp_2 = Date.now();
-        const read_speed = 32 / ((timestamp_2 - timestamp_1) / 1000);
-        fs.unlinkSync(tempFile.name);
-        return { read_speed, write_speed };
-    }
-
-
-    stats(location, kwargs = {}) {
-        const disk_device = this.disk_device_name_from_location(location);
-        const disk_capacity = this.disk_device_total_capacity(disk_device);
-        const disk_used = this.disk_device_used_capacity(disk_device);
-        const disk_avail = this.disk_device_avail_capacity(disk_device);
-        const { read_speed: disk_read_speed, write_speed: disk_write_speed } = this.disk_speed_4k(location);
-        const results = {
-            disk_device,
-            disk_capacity,
-            disk_used,
-            disk_avail,
-            disk_write_speed,
-            disk_read_speed
-        };
-        return results;
-    }
-
-
-}
-
-function test(){
-    const thisTest = new TestFio(null);
-    const results = thisTest.test("/tmp/");
-    console.log(results);
-    console.log("Test complete");
-    //process.exit(0);
-}
\ No newline at end of file
diff --git a/huggingface_scraper/ipfs_test.js b/huggingface_scraper/ipfs_test.js
deleted file mode 100644
index 3de4e9e..0000000
--- a/huggingface_scraper/ipfs_test.js
+++ /dev/null
@@ -1,22 +0,0 @@
-import { ipfsClusterCtl } from "./ipfs.js"
-import fs from 'fs'
-
-
-export function test1(){
-    let collection_path = "/storage/cloudkit-models/collection.json"
-    let collection = fs.readFileSync(collection_path)
-    collection = JSON.parse(collection)
-    let this_cluster = new ipfsClusterCtl()
-    let status = this_cluster.check_collection(collection)
-    return status
-}
-
-
-export function ipfsClusterStatus(collection){
-    let this_cluster = new ipfsClusterCtl()
-    let status = this_cluster.check_collection(collection)
-    return status
-}
-
-let results = test1()
-console.log(results)
\ No newline at end of file
diff --git a/huggingface_scraper/libllama/avx2/convert-ggml-gguf.py b/huggingface_scraper/libllama/avx2/convert-ggml-gguf.py
deleted file mode 100644
index 5a7483b..0000000
--- a/huggingface_scraper/libllama/avx2/convert-ggml-gguf.py
+++ /dev/null
@@ -1,1225 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import argparse
-import concurrent.futures
-import copy
-import enum
-import faulthandler
-import functools
-import io
-import itertools
-import json
-import math
-import mmap
-import pickle
-import re
-import signal
-import struct
-import sys
-import time
-import zipfile
-from abc import ABCMeta, abstractmethod
-from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
-from dataclasses import dataclass
-from pathlib import Path
-from typing import IO, TYPE_CHECKING, Any, Callable, Generator, Iterable, Literal, Sequence, TypeVar
-
-import numpy as np
-from sentencepiece import SentencePieceProcessor  # type: ignore[import]
-
-import os
-if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py' / 'gguf'))
-import gguf
-
-if TYPE_CHECKING:
-    from typing import TypeAlias
-
-if hasattr(faulthandler, 'register') and hasattr(signal, 'SIGUSR1'):
-    faulthandler.register(signal.SIGUSR1)
-
-NDArray: TypeAlias = 'np.ndarray[Any, Any]'
-
-ARCH=gguf.MODEL_ARCH.LLAMA
-NAMES=gguf.MODEL_TENSOR_NAMES[ARCH]
-
-DEFAULT_CONCURRENCY = 8
-#
-# data types
-#
-
-@dataclass(frozen=True)
-class DataType:
-    name: str
-    dtype: np.dtype[Any]
-    valid_conversions: list[str]
-
-    def elements_to_bytes(self, n_elements: int) -> int:
-        return n_elements * self.dtype.itemsize
-
-@dataclass(frozen=True)
-class UnquantizedDataType(DataType):
-    pass
-
-DT_F16  = UnquantizedDataType('F16', dtype = np.dtype(np.float16), valid_conversions = ['F32', 'Q8_0'])
-DT_F32  = UnquantizedDataType('F32', dtype = np.dtype(np.float32), valid_conversions = ['F16', 'Q8_0'])
-DT_I32  = UnquantizedDataType('I32', dtype = np.dtype(np.int16), valid_conversions = [])
-DT_BF16 = UnquantizedDataType('BF16', dtype = np.dtype(np.uint16), valid_conversions = ['F32', 'F16', 'Q8_0'])
-
-@dataclass(frozen=True)
-class QuantizedDataType(DataType):
-    block_size: int
-    quantized_dtype: np.dtype[Any]
-    ggml_type: gguf.GGMLQuantizationType
-
-    def quantize(self, arr: NDArray) -> NDArray:
-        raise NotImplementedError(f'Quantization for {self.name} not implemented')
-
-    def elements_to_bytes(self, n_elements: int) -> int:
-        assert n_elements % self.block_size == 0, f'Invalid number of elements {n_elements} for {self.name} with block size {self.block_size}'
-        return self.quantized_dtype.itemsize * (n_elements // self.block_size)
-
-@dataclass(frozen=True)
-class Q8_0QuantizedDataType(QuantizedDataType):
-    # Mini Q8_0 quantization in Python!
-    def quantize(self, arr: NDArray) -> NDArray:
-        assert arr.size % self.block_size == 0 and arr.size != 0, f'Bad array size {arr.size}'
-        assert arr.dtype == np.float32, f'Bad array type {arr.dtype}'
-        n_blocks = arr.size // self.block_size
-        blocks = arr.reshape((n_blocks, self.block_size))
-        # Much faster implementation of block quantization contributed by @Cebtenzzre
-        def quantize_blocks_q8_0(blocks: NDArray) -> Iterable[tuple[Any, Any]]:
-            d = abs(blocks).max(axis = 1) / np.float32(127)
-            with np.errstate(divide = 'ignore'):
-                qs = (blocks / d[:, None]).round()
-            qs[d == 0] = 0
-            yield from zip(d, qs)
-        return np.fromiter(quantize_blocks_q8_0(blocks), count = n_blocks, dtype = self.quantized_dtype)
-
-DT_Q8_0 = Q8_0QuantizedDataType('Q8_0',
-    dtype = np.dtype(np.float32), valid_conversions = [],
-    ggml_type = gguf.GGMLQuantizationType.Q8_0, block_size = 32,
-    quantized_dtype = np.dtype([('d', '<f2'), ('qs', 'i1', (32,))]))
-
-# Quantized types skipped here because they may also map to np.float32
-NUMPY_TYPE_TO_DATA_TYPE: dict[np.dtype[Any], DataType] = {}
-for dt in (DT_BF16, DT_F16, DT_F32, DT_I32):
-    if dt.dtype in NUMPY_TYPE_TO_DATA_TYPE:
-        raise ValueError(f'Invalid duplicate data type {dt}')
-    NUMPY_TYPE_TO_DATA_TYPE[dt.dtype] = dt
-
-SAFETENSORS_DATA_TYPES: dict[str, DataType] = {
-    'BF16': DT_BF16,
-    'F16': DT_F16,
-    'F32': DT_F32,
-    'I32': DT_I32,
-}
-
-# TODO: match this with `llama_ftype`
-# TODO: rename to LLAMAFileType
-# TODO: move to `gguf.py`
-class GGMLFileType(enum.IntEnum):
-    AllF32     = 0
-    MostlyF16  = 1  # except 1d tensors
-    MostlyQ8_0 = 7  # except 1d tensors
-
-    def type_for_tensor(self, name: str, tensor: LazyTensor) -> DataType:
-        dt = GGML_FILE_TYPE_TO_DATA_TYPE.get(self)
-        if dt is None:
-            raise ValueError(self)
-        # 1D tensors are always F32.
-        return dt if len(tensor.shape) > 1 else DT_F32
-
-GGML_FILE_TYPE_TO_DATA_TYPE: dict[GGMLFileType, DataType] = {
-    GGMLFileType.AllF32    : DT_F32,
-    GGMLFileType.MostlyF16 : DT_F16,
-    GGMLFileType.MostlyQ8_0: DT_Q8_0,
-}
-
-#
-# hparams loading
-#
-
-@dataclass
-class Params:
-    n_vocab:    int
-    n_embd:     int
-    n_mult:     int
-    n_layer:    int
-    n_ctx:      int
-    n_ff:       int
-    n_head:     int
-    n_head_kv:  int
-    f_norm_eps: float
-
-    f_rope_freq_base: float | None = None
-    f_rope_scale: float | None = None
-
-    ftype: GGMLFileType | None = None
-
-    # path to the directory containing the model files
-    path_model: Path | None = None
-
-    @staticmethod
-    def find_n_mult(n_ff: int, n_embd: int) -> int:
-        # hardcoded magic range
-        for n_mult in range(8192, 1, -1):
-            calc_ff = (((8*n_embd) // 3 + n_mult - 1) // n_mult)*n_mult
-            if calc_ff == n_ff:
-                return n_mult
-        raise Exception(f"failed to find n_mult for (n_ff={n_ff}, n_embd={n_embd}).")
-
-    @staticmethod
-    def guessed(model: LazyModel) -> Params:
-        # try transformer naming first
-        n_vocab, n_embd = model["model.embed_tokens.weight"].shape if "model.embed_tokens.weight" in model else model["tok_embeddings.weight"].shape
-
-        # try transformer naming first
-        if "model.layers.0.self_attn.q_proj.weight" in model:
-            n_layer=next(i for i in itertools.count() if f"model.layers.{i}.self_attn.q_proj.weight" not in model)
-        elif "model.layers.0.self_attn.W_pack.weight" in model:   # next: try baichuan naming
-            n_layer=next(i for i in itertools.count() if f"model.layers.{i}.self_attn.W_pack.weight" not in model)
-        else:
-            n_layer=next(i for i in itertools.count() if f"layers.{i}.attention.wq.weight" not in model)
-
-        if n_layer < 1:
-            raise Exception("failed to guess 'n_layer'. This model is unknown or unsupported.\n"
-                            "Suggestion: provide 'config.json' of the model in the same directory containing model files.")
-
-        n_head = n_embd // 128 # guessed
-        n_mult = 256           # guessed
-
-        # TODO: verify this
-        n_ff = int(2 * (4 * n_embd) / 3)
-        n_ff = n_mult * ((n_ff + n_mult - 1) // n_mult)
-
-        return Params(
-            n_vocab    = n_vocab,
-            n_embd     = n_embd,
-            n_mult     = n_mult,
-            n_layer    = n_layer,
-            n_ctx      = -1,
-            n_ff       = n_ff,
-            n_head     = n_head,
-            n_head_kv  = n_head,
-            f_norm_eps = 1e-5,
-        )
-
-    @staticmethod
-    def loadHFTransformerJson(model: LazyModel, config_path: Path) -> Params:
-        config = json.load(open(config_path))
-
-        n_vocab          = config["vocab_size"]
-        n_embd           = config["hidden_size"]
-        n_layer          = config["num_hidden_layers"]
-        n_ff             = config["intermediate_size"]
-        n_head           = config["num_attention_heads"]
-        n_head_kv        = config["num_key_value_heads"] if "num_key_value_heads" in config else n_head
-        f_norm_eps       = config["rms_norm_eps"]
-        f_rope_freq_base = config["rope_theta"] if "rope_theta" in config else None
-
-        rope_scaling = config.get("rope_scaling")
-        if isinstance(rope_scaling, dict) and rope_scaling.get("type") == "linear":
-            f_rope_scale = config["rope_scaling"].get("factor")
-        else:
-            f_rope_scale = None
-
-        n_mult = Params.find_n_mult(n_ff, n_embd)
-
-        if "max_sequence_length" in config:
-            n_ctx = config["max_sequence_length"]
-        elif "max_position_embeddings" in config:
-            n_ctx = config["max_position_embeddings"]
-        else:
-            raise Exception("failed to guess 'n_ctx'. This model is unknown or unsupported.\n"
-                            "Suggestion: provide 'config.json' of the model in the same directory containing model files.")
-
-        return Params(
-            n_vocab          = n_vocab,
-            n_embd           = n_embd,
-            n_mult           = n_mult,
-            n_layer          = n_layer,
-            n_ctx            = n_ctx,
-            n_ff             = n_ff,
-            n_head           = n_head,
-            n_head_kv        = n_head_kv,
-            f_norm_eps       = f_norm_eps,
-            f_rope_freq_base = f_rope_freq_base,
-            f_rope_scale     = f_rope_scale,
-        )
-
-    # LLaMA v2 70B params.json
-    # {"dim": 8192, "multiple_of": 4096, "ffn_dim_multiplier": 1.3, "n_heads": 64, "n_kv_heads": 8, "n_layers": 80, "norm_eps": 1e-05, "vocab_size": -1
-    @staticmethod
-    def loadOriginalParamsJson(model: LazyModel, config_path: Path) -> Params:
-        config = json.load(open(config_path))
-
-        n_vocab          = config["vocab_size"] if "vocab_size" in config else -1
-        n_embd           = config["dim"]
-        n_layer          = config["n_layers"]
-        n_mult           = config["multiple_of"]
-        n_ff             = -1
-        n_head           = config["n_heads"]
-        n_head_kv        = config["n_kv_heads"] if "n_kv_heads" in config else n_head
-        f_norm_eps       = config["norm_eps"]
-        f_rope_freq_base = config["rope_theta"] if "rope_theta" in config else None
-
-        # hack to determine LLaMA v1 vs v2 vs CodeLlama
-        if f_rope_freq_base and f_rope_freq_base == 1000000:
-            # CodeLlama
-            n_ctx = 16384
-        elif config["norm_eps"] == 1e-05:
-            # LLaMA v2
-            n_ctx = 4096
-        else:
-            # LLaMA v1
-            n_ctx = 2048
-
-        if n_vocab == -1:
-            n_vocab = model["tok_embeddings.weight"].shape[0]
-
-        if n_ff == -1:
-            n_ff = model["layers.0.feed_forward.w1.weight"].shape[0]
-
-        return Params(
-            n_vocab          = n_vocab,
-            n_embd           = n_embd,
-            n_mult           = n_mult,
-            n_layer          = n_layer,
-            n_ctx            = n_ctx,
-            n_ff             = n_ff,
-            n_head           = n_head,
-            n_head_kv        = n_head_kv,
-            f_norm_eps       = f_norm_eps,
-            f_rope_freq_base = f_rope_freq_base,
-        )
-
-    @staticmethod
-    def load(model_plus: ModelPlus) -> Params:
-        hf_config_path   = model_plus.paths[0].parent / "config.json"
-        orig_config_path = model_plus.paths[0].parent / "params.json"
-
-        if hf_config_path.exists():
-            params = Params.loadHFTransformerJson(model_plus.model, hf_config_path)
-        elif orig_config_path.exists():
-            params = Params.loadOriginalParamsJson(model_plus.model, orig_config_path)
-        elif model_plus.format != 'none':
-            params = Params.guessed(model_plus.model)
-        else:
-            raise ValueError('Cannot guess params when model format is none')
-
-        params.path_model = model_plus.paths[0].parent
-
-        return params
-
-
-#
-# vocab
-#
-
-class BpeVocab:
-    def __init__(self, fname_tokenizer: Path, fname_added_tokens: Path | None) -> None:
-        self.bpe_tokenizer = json.loads(open(str(fname_tokenizer), encoding="utf-8").read())
-        added_tokens: dict[str, int]
-        if fname_added_tokens is not None:
-            # FIXME: Verify that added tokens here _cannot_ overlap with the main vocab.
-            added_tokens = json.load(open(fname_added_tokens, encoding="utf-8"))
-        else:
-            # Fall back to trying to find the added tokens in tokenizer.json
-            tokenizer_json_file = fname_tokenizer.parent / 'tokenizer.json'
-            if not tokenizer_json_file.is_file():
-                added_tokens = {}
-            else:
-                tokenizer_json = json.load(open(tokenizer_json_file, encoding="utf-8"))
-                added_tokens = dict(
-                    (item['content'], item['id'])
-                    for item in tokenizer_json.get('added_tokens', [])
-                    # Added tokens here can be duplicates of the main vocabulary.
-                    if item['content'] not in self.bpe_tokenizer )
-
-        vocab_size: int = len(self.bpe_tokenizer)
-        expected_ids    = list(range(vocab_size, vocab_size + len(added_tokens)))
-        actual_ids      = sorted(added_tokens.values())
-        if expected_ids != actual_ids:
-            expected_end_id = vocab_size + len(actual_ids) - 1
-            raise Exception(f"Expected the {len(actual_ids)} added token ID(s) to be sequential in the range {vocab_size} - {expected_end_id}; got {actual_ids}")
-
-        items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1])
-        self.added_tokens_list    = [text for (text, idx) in items]
-        self.vocab_size_base: int = vocab_size
-        self.vocab_size: int      = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer      = fname_tokenizer
-        self.fname_added_tokens   = fname_added_tokens
-
-    def bpe_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        tokenizer = self.bpe_tokenizer
-        from transformers.models.gpt2 import tokenization_gpt2  # type: ignore[import]
-        byte_encoder = tokenization_gpt2.bytes_to_unicode()
-        byte_decoder = {v: k for k, v in byte_encoder.items()}
-        score = 0.0
-        for i, item in enumerate(tokenizer):
-            text: bytes = item.encode("utf-8")
-            # FIXME: These shouldn't be hardcoded, but it's probably better than the current behavior?
-            if i <= 258 and text.startswith(b'<') and text.endswith(b'>'):
-                if i == 0 and text == b'<unk>':
-                    toktype = gguf.TokenType.UNKNOWN
-                elif i == 1 or i == 2:
-                    toktype = gguf.TokenType.CONTROL
-                elif i >= 3 and text.startswith(b'<0x'):
-                    toktype = gguf.TokenType.BYTE
-                else:
-                    toktype = gguf.TokenType.NORMAL
-            else:
-                toktype = gguf.TokenType.NORMAL
-            yield text, score, toktype
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.USER_DEFINED
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.bpe_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<BpeVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
-class SentencePieceVocab:
-    def __init__(self, fname_tokenizer: Path, fname_added_tokens: Path | None) -> None:
-        self.sentencepiece_tokenizer = SentencePieceProcessor(str(fname_tokenizer))
-        added_tokens: dict[str, int]
-        if fname_added_tokens is not None:
-            added_tokens = json.load(open(fname_added_tokens, encoding="utf-8"))
-        else:
-            added_tokens = {}
-
-        vocab_size: int = self.sentencepiece_tokenizer.vocab_size()
-        expected_ids = list(range(vocab_size, vocab_size + len(added_tokens)))
-        actual_ids   = sorted(added_tokens.values())
-        if expected_ids != actual_ids:
-            raise Exception(f"Expected added token IDs to be sequential and start at {len(added_tokens)}; got {actual_ids}")
-
-        items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1])
-        self.added_tokens_list = [text for (text, idx) in items]
-        self.vocab_size_base: int = vocab_size
-        self.vocab_size: int = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer = fname_tokenizer
-        self.fname_added_tokens = fname_added_tokens
-
-    def sentencepiece_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        tokenizer = self.sentencepiece_tokenizer
-        for i in range(tokenizer.vocab_size()):
-            piece = tokenizer.id_to_piece(i)
-            text: bytes = piece.encode("utf-8")
-            score: float = tokenizer.get_score(i)
-
-            toktype = gguf.TokenType.NORMAL
-            if tokenizer.is_unknown(i):
-                toktype = gguf.TokenType.UNKNOWN
-            if tokenizer.is_control(i):
-                toktype = gguf.TokenType.CONTROL
-
-            # NOTE: I think added_tokens are user defined.
-            # ref: https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto
-            # if tokenizer.is_user_defined(i): toktype = gguf.TokenType.USER_DEFINED
-
-            if tokenizer.is_unused(i):
-                toktype = gguf.TokenType.UNUSED
-            if tokenizer.is_byte(i):
-                toktype = gguf.TokenType.BYTE
-
-            yield text, score, toktype
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.USER_DEFINED
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.sentencepiece_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<SentencePieceVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-Vocab: TypeAlias = 'BpeVocab | SentencePieceVocab'
-
-#
-# data loading
-# TODO: reuse (probably move to gguf.py?)
-#
-
-def permute(weights: NDArray, n_head: int, n_head_kv: int) -> NDArray:
-    #print( "permute debug " + str(weights.shape[0]) + " x " + str(weights.shape[1]) + " nhead " + str(n_head) + " nheadkv " + str(n_kv_head) )
-    if n_head_kv is not None and n_head != n_head_kv:
-        n_head //= n_head_kv
-    return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:])
-                .swapaxes(1, 2)
-                .reshape(weights.shape))
-
-
-class Tensor(metaclass=ABCMeta):
-    data_type: DataType
-
-    @abstractmethod
-    def astype(self, data_type: DataType) -> Tensor: ...
-    @abstractmethod
-    def permute(self, n_head: int, n_head_kv: int) -> Tensor: ...
-    @abstractmethod
-    def permute_part(self, n_part: int, n_head: int, n_head_kv: int) -> UnquantizedTensor: ...
-    @abstractmethod
-    def part(self, n_part: int) -> UnquantizedTensor: ...
-    @abstractmethod
-    def to_ggml(self) -> GGMLCompatibleTensor: ...
-
-
-def bf16_to_fp32(bf16_arr: np.ndarray[Any, np.dtype[np.uint16]]) -> NDArray:
-    assert bf16_arr.dtype == np.uint16, f"Input array should be of dtype uint16, but got {bf16_arr.dtype}"
-    fp32_arr = bf16_arr.astype(np.uint32) << 16
-    return fp32_arr.view(np.float32)
-
-
-class UnquantizedTensor(Tensor):
-    def __init__(self, ndarray: NDArray) -> None:
-        assert isinstance(ndarray, np.ndarray)
-        self.ndarray = ndarray
-        self.data_type = NUMPY_TYPE_TO_DATA_TYPE[ndarray.dtype]
-
-    def astype(self, data_type: DataType) -> Tensor:
-        dtype = data_type.dtype
-        if self.data_type == DT_BF16:
-            self.ndarray = bf16_to_fp32(self.ndarray)
-        return UnquantizedTensor(self.ndarray.astype(dtype))
-
-    def to_ggml(self) -> UnquantizedTensor:
-        return self
-
-    def permute_part(self, n_part: int, n_head: int, n_head_kv: int) -> UnquantizedTensor:
-        r = self.ndarray.shape[0] // 3
-        return UnquantizedTensor(permute(self.ndarray[r * n_part : r * n_part + r, ...], n_head, n_head_kv))
-
-    def part(self, n_part: int) -> UnquantizedTensor:
-        r = self.ndarray.shape[0] // 3
-        return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...])
-
-    def permute(self, n_head: int, n_head_kv: int) -> UnquantizedTensor:
-        return UnquantizedTensor(permute(self.ndarray, n_head, n_head_kv))
-
-
-def load_unquantized(lazy_tensor: LazyTensor, expected_dtype: Any = None, convert: bool = False) -> NDArray:
-    tensor = lazy_tensor.load()
-    assert isinstance(tensor, UnquantizedTensor)
-
-    # double-check:
-    actual_shape = list(tensor.ndarray.shape)
-    assert actual_shape == lazy_tensor.shape, (actual_shape, lazy_tensor.shape)
-    if expected_dtype is not None and expected_dtype != tensor.ndarray.dtype:
-        if convert:
-            tensor.ndarray = tensor.ndarray.astype(expected_dtype)
-        else:
-            raise ValueError(f'expected this tensor to have dtype {expected_dtype}, got {tensor.ndarray.dtype}')
-
-    return tensor.ndarray
-
-
-GGMLCompatibleTensor = UnquantizedTensor
-
-
-@dataclass
-class LazyTensor:
-    _load: Callable[[], Tensor]
-    shape: list[int]
-    data_type: DataType
-    description: str
-
-    def load(self) -> Tensor:
-        ret = self._load()
-        # Should be okay if it maps to the same numpy type?
-        assert ret.data_type == self.data_type or (self.data_type.dtype == ret.data_type.dtype), \
-                (self.data_type, ret.data_type, self.description)
-        return ret
-
-    def astype(self, data_type: DataType) -> LazyTensor:
-        self.validate_conversion_to(data_type)
-
-        def load() -> Tensor:
-            return self.load().astype(data_type)
-        return LazyTensor(load, self.shape, data_type, f'convert({data_type}) {self.description}')
-
-    def validate_conversion_to(self, data_type: DataType) -> None:
-        if data_type != self.data_type and data_type.name not in self.data_type.valid_conversions:
-            raise ValueError(f'Cannot validate conversion from {self.data_type} to {data_type}.')
-
-
-LazyModel: TypeAlias = 'dict[str, LazyTensor]'
-
-
-@dataclass
-class ModelPlus:
-    model: LazyModel
-    paths: list[Path]  # Where this was read from.
-    format: Literal['ggml', 'torch', 'safetensors', 'none']
-    vocab: Vocab | None  # For GGML models (which have vocab built in), the vocab.
-
-
-def merge_sharded(models: list[LazyModel]) -> LazyModel:
-    # Original LLaMA models have each file contain one part of each tensor.
-    # Use a dict instead of a set to preserve order.
-    names = {name: None for model in models for name in model}
-
-    def convert(name: str) -> LazyTensor:
-        lazy_tensors: list[LazyTensor] = [model[name] for model in models]
-        if len(lazy_tensors) == 1:
-            # only one file; don't go through this procedure since there might
-            # be quantized tensors
-            return lazy_tensors[0]
-        if len(lazy_tensors[0].shape) == 1:
-            # the tensor is just duplicated in every file
-            return lazy_tensors[0]
-        if name.startswith('tok_embeddings.') or \
-           name.endswith('.attention.wo.weight') or \
-           name.endswith('.feed_forward.w2.weight'):
-            # split by columns
-            axis = 1
-        else:
-            # split by rows
-            axis = 0
-        concatenated_shape = list(lazy_tensors[0].shape)
-        concatenated_shape[axis] = sum(tensor.shape[axis] for tensor in lazy_tensors)
-
-        def load() -> UnquantizedTensor:
-            ndarrays = [load_unquantized(tensor) for tensor in lazy_tensors]
-            concatenated: NDArray = np.concatenate(ndarrays, axis=axis)
-            return UnquantizedTensor(concatenated)
-        description = 'concatenated[[' + '] | ['.join(lt.description for lt in lazy_tensors) + ']]'
-        return LazyTensor(load, concatenated_shape, lazy_tensors[0].data_type, description)
-    return {name: convert(name) for name in names}
-
-
-def merge_multifile_models(models_plus: list[ModelPlus]) -> ModelPlus:
-    formats = set(mp.format for mp in models_plus)
-    assert len(formats) == 1, "different formats?"
-    format = formats.pop()
-    paths = [path for mp in models_plus for path in mp.paths]
-    # Use the first non-None vocab, if any.
-    try:
-        vocab = next(mp.vocab for mp in models_plus if mp.vocab is not None)
-    except StopIteration:
-        vocab = None
-
-    if any("model.embed_tokens.weight" in mp.model for mp in models_plus):
-        # Transformers models put different tensors in different files, but
-        # don't split indivdual tensors between files.
-        model: LazyModel = {}
-        for mp in models_plus:
-            model.update(mp.model)
-    else:
-        model = merge_sharded([mp.model for mp in models_plus])
-
-    return ModelPlus(model, paths, format, vocab)
-
-
-def permute_lazy(lazy_tensor: LazyTensor, n_head: int, n_head_kv: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().permute(n_head, n_head_kv)
-    return LazyTensor(load, lazy_tensor.shape, lazy_tensor.data_type, f'permute({n_head}, {n_head_kv}) ' + lazy_tensor.description)
-
-def permute_part_lazy(lazy_tensor: LazyTensor, n_part: int, n_head: int, n_head_kv: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().permute_part(n_part, n_head, n_head_kv)
-    s = lazy_tensor.shape.copy()
-    s[0] = s[0] // 3
-    return LazyTensor(load, s, lazy_tensor.data_type, f'permute({n_head}, {n_head_kv}) ' + lazy_tensor.description)
-
-def part_lazy(lazy_tensor: LazyTensor, n_part: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().part(n_part)
-    s = lazy_tensor.shape.copy()
-    s[0] = s[0] // 3
-    return LazyTensor(load, s, lazy_tensor.data_type, 'part ' + lazy_tensor.description)
-
-
-# Functionality that simulates `torch.load` but where individual tensors are
-# only loaded into memory on demand, not all at once.
-# PyTorch can't do this natively as of time of writing:
-# - https://github.com/pytorch/pytorch/issues/64327
-# This allows us to de-shard without multiplying RAM usage, and also
-# conveniently drops the PyTorch dependency (though we still need numpy).
-
-
-@dataclass
-class LazyStorageKind:
-    data_type: DataType
-
-
-@dataclass
-class LazyStorage:
-    load: Callable[[int, int], NDArray]
-    kind: LazyStorageKind
-    description: str
-
-
-class LazyUnpickler(pickle.Unpickler):
-    def __init__(self, fp: IO[bytes], data_base_path: str, zip_file: zipfile.ZipFile):
-        super().__init__(fp)
-        self.data_base_path = data_base_path
-        self.zip_file = zip_file
-
-    def persistent_load(self, pid: Any) -> Any:
-        assert pid[0] == 'storage'
-        assert isinstance(pid[1], LazyStorageKind)
-        data_type = pid[1].data_type
-        filename_stem = pid[2]
-        filename = self.data_base_path + '/' + filename_stem
-        info = self.zip_file.getinfo(filename)
-
-        def load(offset: int, elm_count: int) -> NDArray:
-            dtype = data_type.dtype
-            fp = self.zip_file.open(info)
-            fp.seek(offset * dtype.itemsize)
-            size = elm_count * dtype.itemsize
-            data = fp.read(size)
-            assert len(data) == size
-            return np.frombuffer(data, dtype)
-        description = f'storage data_type={data_type} path-in-zip={filename} path={self.zip_file.filename}'
-        return LazyStorage(load=load, kind=pid[1], description=description)
-
-    @staticmethod
-    def lazy_rebuild_tensor_v2(storage: Any, storage_offset: Any, size: Any, stride: Any,
-                               # pyright: ignore[reportSelfClsParameterName]
-                               requires_grad: Any, backward_hooks: Any, metadata: Any = None) -> LazyTensor:
-        assert isinstance(storage, LazyStorage)
-
-        def load() -> UnquantizedTensor:
-            elm_count = stride[0] * size[0]
-            return UnquantizedTensor(storage.load(storage_offset, elm_count).reshape(size))
-        description = f'pickled storage_offset={storage_offset} in {storage.description}'
-        return LazyTensor(load, list(size), storage.kind.data_type, description)
-
-    @staticmethod
-    def rebuild_from_type_v2(func, new_type, args, state):
-        return func(*args)
-
-    CLASSES: dict[tuple[str, str], Any] = {
-        # getattr used here as a workaround for mypy not being smart enough to detrmine
-        # the staticmethods have a __func__ attribute.
-        ('torch._tensor', '_rebuild_from_type_v2'): getattr(rebuild_from_type_v2, '__func__'),
-        ('torch._utils', '_rebuild_tensor_v2'): getattr(lazy_rebuild_tensor_v2, '__func__'),
-        ('torch', 'BFloat16Storage'): LazyStorageKind(DT_BF16),
-        ('torch', 'HalfStorage'): LazyStorageKind(DT_F16),
-        ('torch', 'FloatStorage'): LazyStorageKind(DT_F32),
-        ('torch', 'IntStorage'): LazyStorageKind(DT_I32),
-        ('torch', 'Tensor'): LazyTensor,
-    }
-
-    def find_class(self, module: str, name: str) -> Any:
-        if not module.startswith('torch'):
-            return super().find_class(module, name)
-        return self.CLASSES[(module, name)]
-
-
-def lazy_load_torch_file(outer_fp: IO[bytes], path: Path) -> ModelPlus:
-    zf = zipfile.ZipFile(outer_fp)
-    pickle_paths = [name for name in zf.namelist() if name.endswith('.pkl')]
-    assert len(pickle_paths) == 1, pickle_paths
-    pickle_fp = zf.open(pickle_paths[0], 'r')
-    unpickler = LazyUnpickler(pickle_fp,
-                              data_base_path=pickle_paths[0][:-4],
-                              zip_file=zf)
-    model = unpickler.load()
-    as_dict = dict(model.items())
-    return ModelPlus(model=as_dict, paths=[path], format='torch', vocab=None)
-
-
-def lazy_load_safetensors_file(fp: IO[bytes], path: Path) -> ModelPlus:
-    header_size, = struct.unpack('<Q', fp.read(8))
-    header: dict[str, dict[str, Any]] = json.loads(fp.read(header_size))
-    # Use mmap for the actual data to avoid race conditions with the file offset.
-    mapped = memoryview(mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ))
-    byte_buf = mapped[8 + header_size:]
-
-    def convert(info: dict[str, Any]) -> LazyTensor:
-        data_type = SAFETENSORS_DATA_TYPES[info['dtype']]
-        numpy_dtype = data_type.dtype
-        shape: list[int] = info['shape']
-        begin, end = info['data_offsets']
-        assert 0 <= begin <= end <= len(byte_buf)
-        assert end - begin == math.prod(shape) * numpy_dtype.itemsize
-        buf = byte_buf[begin:end]
-
-        def load() -> UnquantizedTensor:
-            return UnquantizedTensor(np.frombuffer(buf, dtype=numpy_dtype).reshape(shape))
-        description = f'safetensors begin={begin} end={end} type={data_type} path={path}'
-        return LazyTensor(load, shape, data_type, description)
-    model = {name: convert(info) for (name, info) in header.items() if name != '__metadata__'}
-    return ModelPlus(model=model, paths=[path], format='safetensors', vocab=None)
-
-
-def must_read(fp: IO[bytes], length: int) -> bytes:
-    ret = fp.read(length)
-    if len(ret) < length:
-        raise Exception("unexpectedly reached end of file")
-    return ret
-
-
-@functools.lru_cache(maxsize=None)
-def lazy_load_file(path: Path) -> ModelPlus:
-    fp = open(path, 'rb')
-    first8 = fp.read(8)
-    fp.seek(0)
-    if first8[:2] == b'PK':
-        # A zip file, i.e. PyTorch format
-        return lazy_load_torch_file(fp, path)
-    elif struct.unpack('<Q', first8)[0] < 16 * 1024 * 1024:
-        # Probably safetensors
-        return lazy_load_safetensors_file(fp, path)
-    else:
-        raise ValueError(f"unknown format: {path}")
-
-
-In = TypeVar('In')
-Out = TypeVar('Out')
-
-def bounded_parallel_map(func: Callable[[In], Out], iterable: Iterable[In], concurrency: int, max_workers: int | None = None, use_processpool_executor: bool = False) -> Iterable[Out]:
-    '''Parallel map, but with backpressure.  If the caller doesn't call `next`
-    fast enough, this will stop calling `func` at some point rather than
-    letting results pile up in memory.  Specifically, there is a max of one
-    output value buffered per thread.'''
-    if concurrency < 2:
-        yield from map(func, iterable)
-        # Not reached.
-    iterable = iter(iterable)
-    executor_class: type[ThreadPoolExecutor] | type[ProcessPoolExecutor]
-    if use_processpool_executor:
-        executor_class = ProcessPoolExecutor
-    else:
-        executor_class = ThreadPoolExecutor
-    with executor_class(max_workers = max_workers) as executor:
-        futures: list[concurrent.futures.Future[Out]] = []
-        done = False
-        for _ in range(concurrency):
-            try:
-                futures.append(executor.submit(func, next(iterable)))
-            except StopIteration:
-                done = True
-                break
-
-        while futures:
-            result = futures.pop(0).result()
-            while not done and len(futures) < concurrency:
-                try:
-                    futures.append(executor.submit(func, next(iterable)))
-                except StopIteration:
-                    done = True
-                    break
-            yield result
-
-def check_vocab_size(params: Params, vocab: Vocab) -> None:
-    if params.n_vocab != vocab.vocab_size:
-        assert isinstance(vocab, BpeVocab) or isinstance(vocab, SentencePieceVocab)
-        if params.n_vocab == vocab.vocab_size_base:
-            print("Ignoring added_tokens.json since model matches vocab size without it.")
-            vocab.added_tokens_list = []
-            vocab.vocab_size = vocab.vocab_size_base
-            return
-        msg = f"Vocab size mismatch (model has {params.n_vocab}, but {vocab.fname_tokenizer}"
-        if vocab.fname_added_tokens is not None:
-            msg += f" combined with {vocab.fname_added_tokens}"
-        msg += f" has {vocab.vocab_size})."
-        if vocab.vocab_size < params.n_vocab < vocab.vocab_size + 20 and vocab.fname_added_tokens is None:
-            msg += f"  Most likely you are missing added_tokens.json (should be in {vocab.fname_tokenizer.parent})."
-        raise Exception(msg)
-
-
-class OutputFile:
-    def __init__(self, fname_out: Path) -> None:
-        self.gguf = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[ARCH])
-
-    def add_meta_arch(self, params: Params) -> None:
-        name = "LLaMA"
-
-        # TODO: better logic to determine model name
-        if (params.n_ctx == 4096):
-            name = "LLaMA v2"
-        elif params.path_model:
-            name = str(params.path_model.parent).split('/')[-1]
-
-        self.gguf.add_name                (name)
-        self.gguf.add_context_length      (params.n_ctx)
-        self.gguf.add_embedding_length    (params.n_embd)
-        self.gguf.add_block_count         (params.n_layer)
-        self.gguf.add_feed_forward_length (params.n_ff)
-        self.gguf.add_rope_dimension_count(params.n_embd // params.n_head)
-        self.gguf.add_head_count          (params.n_head)
-        self.gguf.add_head_count_kv       (params.n_head_kv)
-        self.gguf.add_layer_norm_rms_eps  (params.f_norm_eps)
-
-        if params.f_rope_freq_base:
-            self.gguf.add_rope_freq_base(params.f_rope_freq_base)
-
-        if params.f_rope_scale:
-            self.gguf.add_rope_scale_linear(params.f_rope_scale)
-
-        if params.ftype:
-            self.gguf.add_file_type(params.ftype)
-
-    def add_meta_vocab(self, vocab: Vocab) -> None:
-        tokens = []
-        scores = []
-        toktypes = []
-        # NOTE: `all_tokens` returns the base vocabulary and added tokens
-        for text, score, toktype in vocab.all_tokens():
-            tokens.append(text)
-            scores.append(score)
-            toktypes.append(toktype)
-
-        if isinstance(vocab, SentencePieceVocab):
-            self.gguf.add_tokenizer_model("llama")
-        elif isinstance(vocab, BpeVocab):
-            self.gguf.add_tokenizer_model("gpt2")
-        else:
-            raise ValueError(f'Unknown vocab type: Not BpeVocab or SentencePieceVocab')
-        self.gguf.add_token_list(tokens)
-        self.gguf.add_token_scores(scores)
-        self.gguf.add_token_types(toktypes)
-
-    def add_meta_special_vocab(self, svocab: gguf.SpecialVocab) -> None:
-        svocab.add_to_gguf(self.gguf)
-
-    def add_tensor_info(self, name: str, tensor: LazyTensor) -> None:
-        n_elements = int(np.prod(tensor.shape))
-        raw_dtype = getattr(tensor.data_type, 'ggml_type', None)
-        data_type = getattr(tensor.data_type, 'quantized_type', None) or tensor.data_type.dtype
-        data_nbytes = tensor.data_type.elements_to_bytes(n_elements)
-        self.gguf.add_tensor_info(name, tensor.shape, data_type, data_nbytes, raw_dtype = raw_dtype)
-
-    def write_meta(self) -> None:
-        self.gguf.write_header_to_file()
-        self.gguf.write_kv_data_to_file()
-
-    def write_tensor_info(self) -> None:
-        self.gguf.write_ti_data_to_file()
-
-    def close(self) -> None:
-        self.gguf.close()
-
-    @staticmethod
-    def write_vocab_only(fname_out: Path, params: Params, vocab: Vocab, svocab: gguf.SpecialVocab) -> None:
-        check_vocab_size(params, vocab)
-
-        of = OutputFile(fname_out)
-
-        # meta data
-        of.add_meta_arch(params)
-        of.add_meta_vocab(vocab)
-        of.add_meta_special_vocab(svocab)
-
-        of.write_meta()
-
-        of.close()
-
-    @staticmethod
-    def do_item(item: tuple[str, LazyTensor]) -> tuple[DataType, NDArray]:
-        name, lazy_tensor = item
-        tensor = lazy_tensor.load().to_ggml()
-        return (lazy_tensor.data_type, tensor.ndarray)
-
-    @staticmethod
-    def maybe_do_quantize(item: tuple[DataType, NDArray]) -> NDArray:
-        dt, arr = item
-        if not isinstance(dt, QuantizedDataType):
-            return arr
-        return dt.quantize(arr)
-
-    @staticmethod
-    def write_all(fname_out: Path, ftype: GGMLFileType, params: Params, model: LazyModel, vocab: Vocab, svocab: gguf.SpecialVocab, concurrency: int = DEFAULT_CONCURRENCY) -> None:
-        check_vocab_size(params, vocab)
-
-        of = OutputFile(fname_out)
-
-        # meta data
-        of.add_meta_arch(params)
-        of.add_meta_vocab(vocab)
-        of.add_meta_special_vocab(svocab)
-
-        # tensor info
-        for name, lazy_tensor in model.items():
-            of.add_tensor_info(name, lazy_tensor)
-
-        of.write_meta()
-        of.write_tensor_info()
-
-        # tensor data
-        ndarrays_inner = bounded_parallel_map(OutputFile.do_item, model.items(), concurrency = concurrency)
-        if ftype == GGMLFileType.MostlyQ8_0:
-            ndarrays = bounded_parallel_map(OutputFile.maybe_do_quantize, ndarrays_inner, concurrency = concurrency, max_workers = concurrency, use_processpool_executor = True)
-        else:
-            ndarrays = map(OutputFile.maybe_do_quantize, ndarrays_inner)
-
-        start = time.time()
-        for i, ((name, lazy_tensor), ndarray) in enumerate(zip(model.items(), ndarrays)):
-            elapsed = time.time() - start
-            size = ' x '.join(f"{dim:6d}" for dim in lazy_tensor.shape)
-            padi = len(str(len(model)))
-            print(f"[{i+1:{padi}d}/{len(model)}] Writing tensor {name:38s} | size {size:16} | type {lazy_tensor.data_type.name:4} | T+{int(elapsed):4}")
-            of.gguf.write_tensor_data(ndarray)
-
-        of.close()
-
-def pick_output_type(model: LazyModel, output_type_str: str | None) -> GGMLFileType:
-    wq_type = model[NAMES[gguf.MODEL_TENSOR.ATTN_Q].format(bid=0)+".weight"].data_type
-
-    if output_type_str == "f32" or (output_type_str is None and wq_type == DT_F32):
-        return GGMLFileType.AllF32
-    if output_type_str == "f16" or (output_type_str is None and wq_type in (DT_F16, DT_BF16)):
-        return GGMLFileType.MostlyF16
-    if output_type_str == "q8_0":
-        return GGMLFileType.MostlyQ8_0
-
-    name_to_type = {name: lazy_tensor.data_type for (name, lazy_tensor) in model.items()}
-
-    raise Exception(f"Unexpected combination of types: {name_to_type}")
-
-def convert_to_output_type(model: LazyModel, output_type: GGMLFileType) -> LazyModel:
-    return {name: tensor.astype(output_type.type_for_tensor(name, tensor))
-            for (name, tensor) in model.items()}
-
-def convert_model_names(model: LazyModel, params: Params) -> LazyModel:
-    tmap = gguf.TensorNameMap(ARCH, params.n_layer)
-    should_skip: set[gguf.MODEL_TENSOR] = set(gguf.MODEL_TENSOR_SKIP.get(ARCH, []))
-
-    tmp = model
-
-    # HF models permut or pack some of the tensors, so we need to undo that
-    for i in itertools.count():
-        if f"model.layers.{i}.self_attn.q_proj.weight" in model:
-            print(f"Permuting layer {i}")
-            tmp[f"model.layers.{i}.self_attn.q_proj.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.q_proj.weight"], params.n_head, params.n_head)
-            tmp[f"model.layers.{i}.self_attn.k_proj.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.k_proj.weight"], params.n_head, params.n_head_kv)
-           #tmp[f"model.layers.{i}.self_attn.v_proj.weight"] =              model[f"model.layers.{i}.self_attn.v_proj.weight"]
-        elif f"model.layers.{i}.self_attn.W_pack.weight" in model:
-            print(f"Unpacking and permuting layer {i}")
-            tmp[f"model.layers.{i}.self_attn.q_proj.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 0, params.n_head, params.n_head)
-            tmp[f"model.layers.{i}.self_attn.k_proj.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 1, params.n_head, params.n_head_kv)
-            tmp[f"model.layers.{i}.self_attn.v_proj.weight"] = part_lazy        (model[f"model.layers.{i}.self_attn.W_pack.weight"], 2)
-            del tmp[f"model.layers.{i}.self_attn.W_pack.weight"]
-        else:
-            break
-
-    out: LazyModel = {}
-    for name, lazy_tensor in model.items():
-        tensor_type, name_new = tmap.get_type_and_name(name, try_suffixes = (".weight", ".bias")) or (None, None)
-        if name_new is None:
-            raise Exception(f"Unexpected tensor name: {name}")
-
-        if tensor_type in should_skip:
-            print(f"skipping tensor {name_new}")
-            continue
-
-        print(f"{name:48s} -> {name_new:40s} | {lazy_tensor.data_type.name:6s} | {lazy_tensor.shape}")
-        out[name_new] = lazy_tensor
-
-    return out
-
-def nth_multifile_path(path: Path, n: int) -> Path | None:
-    '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return
-    the nth path in the model.
-    '''
-    # Support the following patterns:
-    patterns: list[tuple[str, str]] = [
-        # - x.00.pth, x.01.pth, etc.
-        (r'\.[0-9]{2}\.pth$', f'.{n:02}.pth'),
-        # - x-00001-of-00002.bin, x-00002-of-00002.bin, etc.
-        (r'-[0-9]{5}-of-(.*)$', fr'-{n:05}-of-\1'),
-        # x.bin, x.bin.1, etc.
-        (r'(\.[0-9]+)?$', r'\1' if n == 0 else fr'\1.{n}')
-    ]
-    for regex, replacement in patterns:
-        if re.search(regex, path.name):
-            new_path = path.with_name(re.sub(regex, replacement, path.name))
-            if new_path.exists():
-                return new_path
-    return None
-
-
-def find_multifile_paths(path: Path) -> list[Path]:
-    '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return
-    the whole list of paths in the model.
-    '''
-    ret: list[Path] = []
-    for i in itertools.count():
-        nth_path = nth_multifile_path(path, i)
-        if nth_path is None:
-            break
-        ret.append(nth_path)
-    if not ret:
-        # No matches.  This should only happen if the file was named, e.g.,
-        # foo.0, and there was no file named foo.  Oh well, try to process it
-        # as a single file.
-        return [path]
-    return ret
-
-
-def load_some_model(path: Path) -> ModelPlus:
-    '''Load a model of any supported format.'''
-    # Be extra-friendly and accept either a file or a directory:
-    if path.is_dir():
-        # Check if it's a set of safetensors files first
-        files = list(path.glob("model-00001-of-*.safetensors"))
-        if not files:
-            # Try the PyTorch patterns too, with lower priority
-            globs = ["consolidated.00.pth", "pytorch_model-00001-of-*.bin", "*.pt", "pytorch_model.bin"]
-            files = [file for glob in globs for file in path.glob(glob)]
-        if not files:
-            raise Exception(f"Can't find model in directory {path}")
-        if len(files) > 1:
-            raise Exception(f"Found multiple models in {path}, not sure which to pick: {files}")
-        path = files[0]
-
-    paths = find_multifile_paths(path)
-    models_plus: list[ModelPlus] = []
-    for path in paths:
-        print(f"Loading model file {path}")
-        models_plus.append(lazy_load_file(path))
-
-    model_plus = merge_multifile_models(models_plus)
-    return model_plus
-
-
-def load_vocab(path: Path, vocabtype: str | None) -> Vocab:
-    # Be extra-friendly and accept either a file or a directory.  Also, if it's
-    # a directory, it might be the model directory, and tokenizer.model might
-    # be in the parent of that.
-    if path.is_dir():
-        vocab_file = "tokenizer.model"
-        if vocabtype == 'bpe':
-            vocab_file = "vocab.json"
-        path2 = path / vocab_file
-        # Use `.parent` instead of /.. to handle the symlink case better.
-        path3 = path.parent / vocab_file
-        if path2.exists():
-            path = path2
-        elif path3.exists():
-            path = path3
-        else:
-            raise FileNotFoundError(
-                f"Could not find {vocab_file} in {path} or its parent; "
-                "if it's in another directory, pass the directory as --vocab-dir")
-
-    print(f"Loading vocab file '{path}', type '{vocabtype}'")
-
-    added_tokens_path = path.parent / "added_tokens.json"
-    if vocabtype == "bpe":
-        return BpeVocab(path, added_tokens_path if added_tokens_path.exists() else None)
-    elif vocabtype == "spm":
-        return SentencePieceVocab(path, added_tokens_path if added_tokens_path.exists() else None)
-    else:
-        raise ValueError(f"Unsupported vocabulary type {vocabtype}")
-
-
-def default_outfile(model_paths: list[Path], file_type: GGMLFileType) -> Path:
-    namestr = {
-        GGMLFileType.AllF32:    "f32",
-        GGMLFileType.MostlyF16: "f16",
-        GGMLFileType.MostlyQ8_0:"q8_0",
-    }[file_type]
-    ret = model_paths[0].parent / f"ggml-model-{namestr}.gguf"
-    if ret in model_paths:
-        sys.stderr.write(
-            f"Error: Default output path ({ret}) would overwrite the input. "
-            "Please explicitly specify a path using --outfile.\n")
-        sys.exit(1)
-    return ret
-
-
-def do_dump_model(model_plus: ModelPlus) -> None:
-    print(f"model_plus.paths = {model_plus.paths!r}")
-    print(f"model_plus.format = {model_plus.format!r}")
-    print(f"model_plus.vocab = {model_plus.vocab!r}")
-    for name, lazy_tensor in model_plus.model.items():
-        print(f"{name}: shape={lazy_tensor.shape} type={lazy_tensor.data_type}; {lazy_tensor.description}")
-
-
-def main(args_in: list[str] | None = None) -> None:
-    parser = argparse.ArgumentParser(description="Convert a LLaMa model to a GGML compatible file")
-    parser.add_argument("--dump",        action="store_true",    help="don't convert, just show what's in the model")
-    parser.add_argument("--dump-single", action="store_true",    help="don't convert, just show what's in a single model file")
-    parser.add_argument("--vocab-only",  action="store_true",    help="extract only the vocab")
-    parser.add_argument("--outtype",     choices=["f32", "f16", "q8_0"], help="output format - note: q8_0 may be very slow (default: f16 or f32 based on input)")
-    parser.add_argument("--vocab-dir",   type=Path,              help="directory containing tokenizer.model, if separate from model file")
-    parser.add_argument("--outfile",     type=Path,              help="path to write to; default: based on input")
-    parser.add_argument("model",         type=Path,              help="directory containing model file, or model file itself (*.pth, *.pt, *.bin)")
-    parser.add_argument("--vocabtype",   choices=["spm", "bpe"], help="vocab format (default: spm)", default="spm")
-    parser.add_argument("--ctx",         type=int,               help="model training context (default: based on input)")
-    parser.add_argument("--concurrency", type=int,               help=f"concurrency used for conversion (default: {DEFAULT_CONCURRENCY})", default = DEFAULT_CONCURRENCY)
-    args = parser.parse_args(args_in)
-
-    if args.dump_single:
-        model_plus = lazy_load_file(args.model)
-        do_dump_model(model_plus)
-        return
-
-    if not args.vocab_only:
-        model_plus = load_some_model(args.model)
-    else:
-        model_plus = ModelPlus(model = {}, paths = [args.model / 'dummy'], format = 'none', vocab = None)
-
-    if args.dump:
-        do_dump_model(model_plus)
-        return
-
-    params = Params.load(model_plus)
-    if params.n_ctx == -1:
-        if args.ctx is None:
-            raise Exception("The model doesn't have a context size, and you didn't specify one with --ctx\n"
-                            "Please specify one with --ctx:\n"
-                            " - LLaMA v1: --ctx 2048\n"
-                            " - LLaMA v2: --ctx 4096\n")
-        params.n_ctx = args.ctx
-
-    if args.outtype:
-        params.ftype = {
-            "f32": GGMLFileType.AllF32,
-            "f16": GGMLFileType.MostlyF16,
-            "q8_0": GGMLFileType.MostlyQ8_0,
-        }[args.outtype]
-
-    print(f"params = {params}")
-
-    vocab: Vocab
-    if args.vocab_only:
-        assert args.outfile, "need --outfile if using --vocab-only"
-        # FIXME: Try to respect vocab_dir somehow?
-        vocab = load_vocab(args.vocab_dir or args.model, args.vocabtype)
-        special_vocab = gguf.SpecialVocab(model_plus.paths[0].parent, load_merges = args.vocabtype == 'bpe')
-        outfile = args.outfile
-        OutputFile.write_vocab_only(outfile, params, vocab, special_vocab)
-        print(f"Wrote {outfile}")
-        return
-
-    if model_plus.vocab is not None and args.vocab_dir is None:
-        vocab = model_plus.vocab
-    else:
-        vocab_dir = args.vocab_dir if args.vocab_dir else model_plus.paths[0].parent
-        vocab = load_vocab(vocab_dir, args.vocabtype)
-    # FIXME: Try to respect vocab_dir somehow?
-    special_vocab = gguf.SpecialVocab(model_plus.paths[0].parent, load_merges = args.vocabtype == 'bpe')
-
-    model   = model_plus.model
-    model   = convert_model_names(model, params)
-    ftype   = pick_output_type(model, args.outtype)
-    model   = convert_to_output_type(model, ftype)
-    outfile = args.outfile or default_outfile(model_plus.paths, ftype)
-
-    params.ftype = ftype
-    print(f"Writing {outfile}, format {ftype}")
-
-    OutputFile.write_all(outfile, ftype, params, model, vocab, special_vocab, concurrency = args.concurrency)
-    print(f"Wrote {outfile}")
-
-
-if __name__ == '__main__':
-    main()
diff --git a/huggingface_scraper/libllama/avx2/convert-llama-ggmlv3-to-gguf.py b/huggingface_scraper/libllama/avx2/convert-llama-ggmlv3-to-gguf.py
deleted file mode 100644
index 08ba0c4..0000000
--- a/huggingface_scraper/libllama/avx2/convert-llama-ggmlv3-to-gguf.py
+++ /dev/null
@@ -1,353 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import argparse
-import math
-import struct
-import sys
-from pathlib import Path
-
-import numpy as np
-
-import os
-if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py' / 'gguf'))
-import gguf
-
-# Note: Does not support GGML_QKK_64
-QK_K = 256
-# Items here are (block size, type size)
-GGML_QUANT_SIZES = {
-    gguf.GGMLQuantizationType.F32  : (1, 4),
-    gguf.GGMLQuantizationType.F16  : (1, 2),
-    gguf.GGMLQuantizationType.Q4_0 : (32, 2 + 16),
-    gguf.GGMLQuantizationType.Q4_1 : (32, 2 + 2 + 16),
-    gguf.GGMLQuantizationType.Q5_0 : (32, 2 + 4 + 16),
-    gguf.GGMLQuantizationType.Q5_1 : (32, 2 + 2 + 4 + 16),
-    gguf.GGMLQuantizationType.Q8_0 : (32, 2 + 32),
-    gguf.GGMLQuantizationType.Q8_1 : (32, 4 + 4 + 32),
-    gguf.GGMLQuantizationType.Q2_K : (256, 2 + 2 + QK_K // 16 + QK_K // 4),
-    gguf.GGMLQuantizationType.Q3_K : (256, 2 + QK_K // 4 + QK_K // 8 + 12),
-    gguf.GGMLQuantizationType.Q4_K : (256, 2 + 2 + QK_K // 2 + 12),
-    gguf.GGMLQuantizationType.Q5_K : (256, 2 + 2 + QK_K // 2 + QK_K // 8 + 12),
-    gguf.GGMLQuantizationType.Q6_K : (256, 2 + QK_K // 2 + QK_K // 4 + QK_K // 16),
-    gguf.GGMLQuantizationType.Q8_K : (256, 4 + QK_K + QK_K // 8),
-}
-
-class Hyperparameters:
-    def __init__(self):
-        self.n_vocab = self.n_embd = self.n_mult = self.n_head = self.n_layer = self.n_rot = self.ftype = 0
-        self.n_ff = 0
-
-    def set_n_ff(self, model):
-        ff_tensor_idx = model.tensor_map.get(b'layers.0.feed_forward.w1.weight')
-        assert ff_tensor_idx is not None, 'Missing layer 0 FF tensor'
-        ff_tensor = model.tensors[ff_tensor_idx]
-        self.n_ff = ff_tensor.dims[1]
-
-    def load(self, data, offset):
-        (
-            self.n_vocab,
-            self.n_embd,
-            self.n_mult,
-            self.n_head,
-            self.n_layer,
-            self.n_rot,
-            self.ftype,
-        ) = struct.unpack('<7I', data[offset:offset + (4 * 7)])
-        return 4 * 7
-
-    def __str__(self):
-        return f'<Hyperparameters: n_vocab={self.n_vocab}, n_embd={self.n_embd}, n_mult={self.n_mult}, n_head={self.n_head}, n_layer={self.n_layer}, n_rot={self.n_rot}, n_ff={self.n_ff}, ftype={self.ftype}>'
-
-class Vocab:
-    def __init__(self):
-        self.items = []
-
-    def load(self, data, offset, n_vocab):
-        orig_offset = offset
-        for _ in range(n_vocab):
-            itemlen = struct.unpack('<I', data[offset:offset + 4])[0]
-            assert itemlen < 4096, 'Absurd vocab item length'
-            offset += 4
-            vocab = bytes(data[offset:offset + itemlen])
-            offset += itemlen
-            score = struct.unpack('<f', data[offset:offset + 4])[0]
-            offset += 4
-            self.items.append((vocab, score))
-        return offset - orig_offset
-
-class Tensor:
-    def __init__(self):
-        self.name = None
-        self.dims: tuple[int, ...] = ()
-        self.dtype = None
-        self.start_offset = 0
-        self.len_bytes = np.int64(0)
-
-    def load(self, data, offset):
-        orig_offset = offset
-        (n_dims, name_len, dtype) = struct.unpack('<3I', data[offset:offset + 12])
-        assert n_dims >= 0 and n_dims <= 4, f'Invalid tensor dimensions {n_dims}'
-        assert name_len < 4096, 'Absurd tensor name length'
-        quant = GGML_QUANT_SIZES.get(dtype)
-        assert quant is not None, 'Unknown tensor type'
-        (blksize, tysize) = quant
-        offset += 12
-        self.dtype= dtype
-        self.dims = struct.unpack(f'<{n_dims}I', data[offset:offset + (4 * n_dims)])
-        offset += 4 * n_dims
-        self.name = bytes(data[offset:offset + name_len])
-        offset += name_len
-        pad = ((offset + 31) & ~31) - offset
-        offset += pad
-        n_elems = np.prod(self.dims)
-        n_bytes = np.int64(np.int64(n_elems) * np.int64(tysize)) // np.int64(blksize)
-        self.start_offset = offset
-        self.len_bytes = n_bytes
-        offset += n_bytes
-        # print(n_dims, name_len, dtype, self.dims, self.name, pad)
-        return offset - orig_offset
-
-class GGMLV3Model:
-    def __init__(self):
-        self.hyperparameters = None
-        self.vocab = None
-        self.tensor_map = {}
-        self.tensors = []
-
-    def validate_header(self, data, offset):
-        if bytes(data[offset:offset + 4]) != b'tjgg' or struct.unpack('<I', data[offset + 4:offset + 8])[0] != 3:
-            raise ValueError('Only GGJTv3 supported')
-        return 8
-
-    def load(self, data, offset):
-        offset += self.validate_header(data, offset)
-        hp = Hyperparameters()
-        offset += hp.load(data, offset)
-        vocab = Vocab()
-        offset += vocab.load(data, offset, hp.n_vocab)
-        tensors: list[Tensor] = []
-        tensor_map = {}
-        while offset < len(data):
-            tensor = Tensor()
-            offset += tensor.load(data, offset)
-            tensor_map[tensor.name] = len(tensors)
-            tensors.append(tensor)
-        self.hyperparameters = hp
-        self.vocab = vocab
-        self.tensors = tensors
-        self.tensor_map = tensor_map
-        hp.set_n_ff(self)
-        return offset
-
-class GGMLToGGUF:
-    def __init__(self, ggml_model, data, cfg, params_override = None, vocab_override = None, special_vocab = None):
-        hp = ggml_model.hyperparameters
-        self.model = ggml_model
-        self.data = data
-        self.cfg = cfg
-        self.params_override = params_override
-        self.vocab_override = vocab_override
-        self.special_vocab = special_vocab
-        if params_override is not None:
-            n_kv_head = params_override.n_head_kv
-        else:
-            if cfg.gqa == 1:
-                n_kv_head = hp.n_head
-            else:
-                gqa = float(cfg.gqa)
-                n_kv_head = None
-                for x in range(1, 256):
-                    if float(hp.n_head) / float(x) == gqa:
-                        n_kv_head = x
-                assert n_kv_head is not None, "Couldn't determine n_kv_head from GQA param"
-                print(f'- Guessed n_kv_head = {n_kv_head} based on GQA {cfg.gqa}')
-        self.n_kv_head = n_kv_head
-        self.name_map = gguf.get_tensor_name_map(gguf.MODEL_ARCH.LLAMA, ggml_model.hyperparameters.n_layer)
-
-    def save(self):
-        print('* Preparing to save GGUF file')
-        gguf_writer = gguf.GGUFWriter(self.cfg.output, gguf.MODEL_ARCH_NAMES[gguf.MODEL_ARCH.LLAMA], use_temp_file = False)
-        self.add_params(gguf_writer)
-        self.add_vocab(gguf_writer)
-        if self.special_vocab is not None:
-            self.special_vocab.add_to_gguf(gguf_writer)
-        self.add_tensors(gguf_writer)
-        print("    gguf: write header")
-        gguf_writer.write_header_to_file()
-        print("    gguf: write metadata")
-        gguf_writer.write_kv_data_to_file()
-        print("    gguf: write tensors")
-        gguf_writer.write_tensors_to_file()
-        gguf_writer.close()
-
-    def add_params(self, gguf_writer):
-        hp = self.model.hyperparameters
-        cfg = self.cfg
-        desc = cfg.desc if cfg.desc is not None else 'converted from legacy GGJTv3 format'
-        try:
-            # Filenames aren't necessarily valid UTF8.
-            name = cfg.name if cfg.name is not None else cfg.input.name
-        except UnicodeDecodeError:
-            name = None
-        print('* Adding model parameters and KV items')
-        if name is not None:
-            gguf_writer.add_name(name)
-        gguf_writer.add_description(desc)
-        if self.params_override is not None:
-            po = self.params_override
-            assert po.n_embd == hp.n_embd, 'Model hyperparams mismatch'
-            assert po.n_layer == hp.n_layer, 'Model hyperparams mismatch'
-            assert po.n_head == hp.n_head, 'Model hyperparams mismatch'
-            gguf_writer.add_context_length      (po.n_ctx)
-            gguf_writer.add_embedding_length    (po.n_embd)
-            gguf_writer.add_block_count         (po.n_layer)
-            gguf_writer.add_feed_forward_length (po.n_ff)
-            gguf_writer.add_rope_dimension_count(po.n_embd // po.n_head)
-            gguf_writer.add_head_count          (po.n_head)
-            gguf_writer.add_head_count_kv       (po.n_head_kv)
-            gguf_writer.add_layer_norm_rms_eps  (po.f_norm_eps)
-            return
-        gguf_writer.add_context_length(cfg.context_length)
-        gguf_writer.add_embedding_length(hp.n_embd)
-        gguf_writer.add_block_count(hp.n_layer)
-        gguf_writer.add_feed_forward_length(hp.n_ff)
-        gguf_writer.add_rope_dimension_count(hp.n_embd // hp.n_head)
-        gguf_writer.add_head_count(hp.n_head)
-        gguf_writer.add_head_count_kv(self.n_kv_head)
-        gguf_writer.add_layer_norm_rms_eps(float(cfg.eps))
-
-    def add_vocab(self, gguf_writer):
-        hp = self.model.hyperparameters
-        gguf_writer.add_tokenizer_model('llama')
-        tokens = []
-        scores = []
-        toktypes = []
-        if self.vocab_override is not None:
-            vo = self.vocab_override
-            print('* Adding vocab item(s)')
-            for (idx, (vbytes, score, ttype)) in enumerate(vo.all_tokens()):
-                tokens.append(vbytes)
-                scores.append(score)
-                toktypes.append(ttype)
-            assert len(tokens) == hp.n_vocab, f'Override vocab has a different number of items than hyperparameters - override = {len(tokens)} but n_vocab={hp.n_vocab}'
-            gguf_writer.add_token_list(tokens)
-            gguf_writer.add_token_scores(scores)
-            if len(toktypes) > 0:
-                gguf_writer.add_token_types(toktypes)
-            return
-        print(f'* Adding {hp.n_vocab} vocab item(s)')
-        assert len(self.model.vocab.items) >= 3, 'Cannot handle unexpectedly short model vocab'
-        for (tokid, (vbytes, vscore)) in enumerate(self.model.vocab.items):
-            tt = 1 # Normal
-            # Special handling for UNK, BOS, EOS tokens.
-            if tokid <= 2:
-                if tokid == 0:
-                    vbytes = b'<unk>'
-                    tt = 2
-                elif tokid == 1:
-                    vbytes = b'<s>'
-                    tt = 3
-                else:
-                    vbytes = b'</s>'
-                    tt = 3
-            elif len(vbytes) == 0:
-                tt = 3 # Control
-            elif tokid >= 3 and tokid <= 258 and len(vbytes) == 1:
-                vbytes = bytes(f'<0x{vbytes[0]:02X}>', encoding = 'UTF-8')
-                tt = 6 # Byte
-            else:
-                vbytes = vbytes.replace(b' ', b'\xe2\x96\x81')
-            toktypes.append(tt)
-            tokens.append(vbytes)
-            scores.append(vscore)
-        gguf_writer.add_token_list(tokens)
-        gguf_writer.add_token_scores(scores)
-        gguf_writer.add_token_types(toktypes)
-        gguf_writer.add_unk_token_id(0)
-        gguf_writer.add_bos_token_id(1)
-        gguf_writer.add_eos_token_id(2)
-
-    def add_tensors(self, gguf_writer):
-        tensor_map = self.name_map
-        data = self.data
-        print(f'* Adding {len(self.model.tensors)} tensor(s)')
-        for tensor in self.model.tensors:
-            name = str(tensor.name, 'UTF-8')
-            mapped_name = tensor_map.get_name(name, try_suffixes = (".weight", ".bias"))
-            assert mapped_name is not None, f'Bad name {name}'
-            tempdims = list(tensor.dims[:])
-            if len(tempdims) > 1:
-                temp = tempdims[1]
-                tempdims[1] = tempdims[0]
-                tempdims[0] = temp
-            # print(f'+ {tensor.name} | {mapped_name} {tensor.dims} :: {tempdims}')
-            gguf_writer.add_tensor(mapped_name, data[tensor.start_offset:tensor.start_offset + tensor.len_bytes], raw_shape = tempdims, raw_dtype = tensor.dtype)
-
-def handle_metadata(cfg, hp):
-    import convert
-    assert cfg.model_metadata_dir.is_dir(), 'Metadata dir is not a directory'
-    hf_config_path   = cfg.model_metadata_dir / "config.json"
-    orig_config_path = cfg.model_metadata_dir / "params.json"
-    # We pass a fake model here. "original" mode will check the shapes of some
-    # tensors if information is missing in the .json file: other than that, the
-    # model data isn't used so this should be safe (at least for now).
-    fakemodel = {
-        'tok_embeddings.weight': convert.LazyTensor.__new__(convert.LazyTensor),
-        'layers.0.feed_forward.w1.weight': convert.LazyTensor.__new__(convert.LazyTensor),
-    }
-    fakemodel['tok_embeddings.weight'].shape = [hp.n_vocab]
-    fakemodel['layers.0.feed_forward.w1.weight'].shape = [hp.n_ff]
-    if hf_config_path.exists():
-        params = convert.Params.loadHFTransformerJson(fakemodel, hf_config_path)
-    elif orig_config_path.exists():
-        params = convert.Params.loadOriginalParamsJson(fakemodel, orig_config_path)
-    else:
-        raise ValueError('Unable to load metadata')
-    vocab = convert.load_vocab(cfg.vocab_dir if cfg.vocab_dir is not None else cfg.model_metadata_dir, cfg.vocabtype)
-    # FIXME: Respect cfg.vocab_dir?
-    svocab = gguf.SpecialVocab(cfg.model_metadata_dir)
-    convert.check_vocab_size(params, vocab)
-    return (params, vocab, svocab)
-
-def handle_args():
-    parser = argparse.ArgumentParser(description = 'Convert GGMLv3 models to GGUF')
-    parser.add_argument('--input', '-i', type = Path, required = True, help = 'Input GGMLv3 filename')
-    parser.add_argument('--output', '-o', type = Path, required = True, help ='Output GGUF filename')
-    parser.add_argument('--name', help = 'Set model name')
-    parser.add_argument('--desc', help = 'Set model description')
-    parser.add_argument('--gqa', type = int, default = 1, help = 'grouped-query attention factor (use 8 for LLaMA2 70B)')
-    parser.add_argument('--eps', default = '5.0e-06', help = 'RMS norm eps: Use 1e-6 for LLaMA1 and OpenLLaMA, use 1e-5 for LLaMA2')
-    parser.add_argument('--context-length', '-c', type=int, default = 2048, help = 'Default max context length: LLaMA1 is typically 2048, LLaMA2 is typically 4096')
-    parser.add_argument('--model-metadata-dir', '-m', type = Path, help ='Load HuggingFace/.pth vocab and metadata from the specified directory')
-    parser.add_argument("--vocab-dir", type=Path, help="directory containing tokenizer.model, if separate from model file - only meaningful with --model-metadata-dir")
-    parser.add_argument("--vocabtype", choices=["spm", "bpe"], help="vocab format - only meaningful with --model-metadata-dir and/or --vocab-dir (default: spm)", default="spm")
-    return parser.parse_args()
-
-def main():
-    cfg = handle_args()
-    print(f'* Using config: {cfg}')
-    print('\n=== WARNING === Be aware that this conversion script is best-effort. Use a native GGUF model if possible. === WARNING ===\n')
-    data = np.memmap(cfg.input, mode = 'r')
-    model = GGMLV3Model()
-    print('* Scanning GGML input file')
-    offset = model.load(data, 0)
-    print(f'* GGML model hyperparameters: {model.hyperparameters}')
-    vocab_override = None
-    params_override = None
-    special_vocab = None
-    if cfg.model_metadata_dir is not None:
-        (params_override, vocab_override, special_vocab) = handle_metadata(cfg, model.hyperparameters)
-        print('!! Note: When overriding params the --gqa, --eps and --context-length options are ignored.')
-        print(f'* Overriding params: {params_override}')
-        print(f'* Overriding vocab: {vocab_override}')
-        print(f'* Special vocab: {special_vocab}')
-    else:
-        print('\n=== WARNING === Special tokens may not be converted correctly. Use --model-metadata-dir if possible === WARNING ===\n')
-    converter = GGMLToGGUF(model, data, cfg, params_override = params_override, vocab_override = vocab_override, special_vocab = special_vocab)
-    converter.save()
-    print(f'* Successful completion. Output saved to: {cfg.output}')
-
-if __name__ == '__main__':
-    main()
diff --git a/huggingface_scraper/libllama/avx2/convert_models.py b/huggingface_scraper/libllama/avx2/convert_models.py
deleted file mode 100644
index 8441952..0000000
--- a/huggingface_scraper/libllama/avx2/convert_models.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import os
-
-def main():
-    cwd = os.getcwd()
-    dir = os.path.dirname(__file__)
-    os.chdir(dir)
-    models_dir = os.path.join(dir, 'models')
-    models = os.listdir(models_dir)
-    for model in models:
-        if os.path.isdir(os.path.join(models_dir, model)):
-            this_dir = os.path.join(models_dir, model)
-            if(os.path.isfile(os.path.join(this_dir, 'checkpoint.bin.bak'))):
-                print("backup found")
-                if(os.path.isfile(os.path.join(this_dir, 'checkpoint.bin'))):
-                    print("original found")
-                    pass
-                else:
-                    print("no original found")
-                    # rename
-                    os.system('mv ' + os.path.join(this_dir, 'checkpoint.bin.bak' ) + ' ' + os.path.join(this_dir, 'checkpoint.bin'))
-                pass
-        
-            if(os.path.isfile(os.path.join(this_dir, 'checkpoint.bin'))):
-                os.chdir(this_dir)
-                os.system('python ../../skillset/convert-llama-ggmlv3-to-gguf.py --input checkpoint.bin --output checkpoint.gguf.bin ; mv checkpoint.bin checkpoint.bin.bak ; mv checkpoint.gguf.bin checkpoint.bin')
-                os.chdir(dir)
-            else:
-                print("skipping " + model)
-                print("no checkpoint.bin found")
-                print(os.path.join(this_dir, 'checkpoint.bin'))
-    print("done")
-    return
-
-if __name__ == '__main__': 
-    main()
\ No newline at end of file
diff --git a/huggingface_scraper/libllama/avx2/libllama.so b/huggingface_scraper/libllama/avx2/libllama.so
deleted file mode 100644
index 48659c9..0000000
Binary files a/huggingface_scraper/libllama/avx2/libllama.so and /dev/null differ
diff --git a/huggingface_scraper/libllama/avx2/quantize b/huggingface_scraper/libllama/avx2/quantize
deleted file mode 100755
index c521150..0000000
Binary files a/huggingface_scraper/libllama/avx2/quantize and /dev/null differ
diff --git a/huggingface_scraper/libllama/avx2/requirements.txt b/huggingface_scraper/libllama/avx2/requirements.txt
deleted file mode 100644
index 8d1c8b6..0000000
--- a/huggingface_scraper/libllama/avx2/requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/huggingface_scraper/libllama/blas/libllama.so b/huggingface_scraper/libllama/blas/libllama.so
deleted file mode 100644
index 48659c9..0000000
Binary files a/huggingface_scraper/libllama/blas/libllama.so and /dev/null differ
diff --git a/huggingface_scraper/libllama/blas/quantize b/huggingface_scraper/libllama/blas/quantize
deleted file mode 100755
index 686601a..0000000
Binary files a/huggingface_scraper/libllama/blas/quantize and /dev/null differ
diff --git a/huggingface_scraper/libllama/convert-hf-to-gguf.py b/huggingface_scraper/libllama/convert-hf-to-gguf.py
deleted file mode 100644
index 53ce76c..0000000
--- a/huggingface_scraper/libllama/convert-hf-to-gguf.py
+++ /dev/null
@@ -1,900 +0,0 @@
-#!/usr/bin/env python3
-
-from __future__ import annotations
-
-import argparse
-import contextlib
-import json
-import os
-import re
-import sys
-from enum import IntEnum
-from pathlib import Path
-from typing import TYPE_CHECKING, Any, ContextManager, Iterator, cast
-
-import numpy as np
-import torch
-
-if TYPE_CHECKING:
-    from torch import Tensor
-
-if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
-import gguf
-
-
-###### MODEL DEFINITIONS ######
-
-class SentencePieceTokenTypes(IntEnum):
-    NORMAL = 1
-    UNKNOWN = 2
-    CONTROL = 3
-    USER_DEFINED = 4
-    UNUSED = 5
-    BYTE = 6
-
-
-class Model:
-    def __init__(self, dir_model: Path, ftype: int, fname_out: Path, is_big_endian: bool):
-        self.dir_model = dir_model
-        self.ftype = ftype
-        self.fname_out = fname_out
-        self.is_big_endian = is_big_endian
-        self.endianess = gguf.GGUFEndian.BIG if is_big_endian else gguf.GGUFEndian.LITTLE
-        self.is_safetensors = self._is_model_safetensors()
-        self.num_parts = Model.count_model_parts(self.dir_model, ".safetensors" if self.is_safetensors else ".bin")
-        self.part_names = self._get_part_names()
-        self.hparams = Model.load_hparams(self.dir_model)
-        self.model_arch = self._get_model_architecture()
-        self.gguf_writer = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[self.model_arch], endianess=self.endianess)
-
-    def set_vocab(self):
-        self._set_vocab_gpt2()
-
-    def get_tensors(self) -> Iterator[tuple[str, Tensor]]:
-        for part_name in self.part_names:
-            print(f"gguf: loading model part '{part_name}'")
-            ctx: ContextManager[Any]
-            if self.is_safetensors:
-                from safetensors import safe_open
-                ctx = cast(ContextManager[Any], safe_open(self.dir_model / part_name, framework="pt", device="cpu"))
-            else:
-                ctx = contextlib.nullcontext(torch.load(str(self.dir_model / part_name), map_location="cpu", mmap=True, weights_only=True))
-
-            with ctx as model_part:
-                for name in model_part.keys():
-                    data = model_part.get_tensor(name) if self.is_safetensors else model_part[name]
-                    yield name, data
-
-    def set_gguf_parameters(self):
-        self.gguf_writer.add_name(self.dir_model.name)
-        self.gguf_writer.add_block_count(self.hparams.get(
-            "n_layers", self.hparams.get("num_hidden_layers", self.hparams.get("n_layer")),
-        ))
-        if (n_ctx := self.hparams.get("max_position_embeddings")) is not None:
-            self.gguf_writer.add_context_length(n_ctx)
-        if (n_embd := self.hparams.get("hidden_size")) is not None:
-            self.gguf_writer.add_embedding_length(n_embd)
-        if (n_ff := self.hparams.get("intermediate_size")) is not None:
-            self.gguf_writer.add_feed_forward_length(n_ff)
-        if (n_head := self.hparams.get("num_attention_head")) is not None:
-            self.gguf_writer.add_head_count(n_head)
-        self.gguf_writer.add_parallel_residual(self.hparams.get("use_parallel_residual", True))
-
-    def write_tensors(self):
-        block_count = self.hparams.get("n_layers", self.hparams.get("num_hidden_layers", self.hparams.get("n_layer")))
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-        for name, data_torch in self.get_tensors():
-            # we don't need these
-            if name.endswith((".attention.masked_bias", ".attention.bias", ".attention.rotary_emb.inv_freq")):
-                continue
-
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            data = data_torch.squeeze().numpy()
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"{new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-
-            self.gguf_writer.add_tensor(new_name, data)
-
-    def write(self):
-        self.write_tensors()
-        self.gguf_writer.write_header_to_file()
-        self.gguf_writer.write_kv_data_to_file()
-        self.gguf_writer.write_tensors_to_file()
-        self.gguf_writer.close()
-
-    def write_vocab(self):
-        self.gguf_writer.write_header_to_file()
-        self.gguf_writer.write_kv_data_to_file()
-        self.gguf_writer.close()
-
-    @staticmethod
-    def count_model_parts(dir_model: Path, prefix: str) -> int:
-        num_parts = 0
-        for filename in os.listdir(dir_model):
-            if filename.endswith(prefix):
-                num_parts += 1
-
-        return num_parts
-
-    @staticmethod
-    def load_hparams(dir_model):
-        with open(dir_model / "config.json", "r", encoding="utf-8") as f:
-            return json.load(f)
-
-    @staticmethod
-    def from_model_architecture(model_architecture):
-        if model_architecture == "GPTNeoXForCausalLM":
-            return GPTNeoXModel
-        if model_architecture == "BloomForCausalLM":
-            return BloomModel
-        if model_architecture == "MPTForCausalLM":
-            return MPTModel
-        if model_architecture in ("BaichuanForCausalLM", "BaiChuanForCausalLM"):
-            return BaichuanModel
-        if model_architecture in ("FalconForCausalLM", "RWForCausalLM"):
-            return FalconModel
-        if model_architecture == "GPTBigCodeForCausalLM":
-            return StarCoderModel
-        if model_architecture == "GPTRefactForCausalLM":
-            return RefactModel
-        if model_architecture == "PersimmonForCausalLM":
-            return PersimmonModel
-        if model_architecture in ("StableLMEpochForCausalLM", "LlavaStableLMEpochForCausalLM"):
-            return StableLMModel
-        return Model
-
-    def _is_model_safetensors(self) -> bool:
-        return Model.count_model_parts(self.dir_model, ".safetensors") > 0
-
-    def _get_part_names(self):
-        if self.is_safetensors:
-            if self.num_parts == 1:  # there's only one .safetensors file
-                return ("model.safetensors",)
-            return (f"model-{n:05}-of-{self.num_parts:05}.safetensors" for n in range(1, self.num_parts + 1))
-
-        if self.num_parts == 1:  # there's only one .bin file
-            return ("pytorch_model.bin",)
-        return (f"pytorch_model-{n:05}-of-{self.num_parts:05}.bin" for n in range(1, self.num_parts + 1))
-
-    def _get_model_architecture(self) -> gguf.MODEL_ARCH:
-        arch = self.hparams["architectures"][0]
-        if arch == "GPTNeoXForCausalLM":
-            return gguf.MODEL_ARCH.GPTNEOX
-        if arch == "BloomForCausalLM":
-            return gguf.MODEL_ARCH.BLOOM
-        if arch == "MPTForCausalLM":
-            return gguf.MODEL_ARCH.MPT
-        if arch in ("BaichuanForCausalLM", "BaiChuanForCausalLM"):
-            return gguf.MODEL_ARCH.BAICHUAN
-        if arch in ("FalconForCausalLM", "RWForCausalLM"):
-            return gguf.MODEL_ARCH.FALCON
-        if arch == "GPTBigCodeForCausalLM":
-            return gguf.MODEL_ARCH.STARCODER
-        if arch == "GPTRefactForCausalLM":
-            return gguf.MODEL_ARCH.REFACT
-        if arch == "PersimmonForCausalLM":
-            return gguf.MODEL_ARCH.PERSIMMON
-        if arch in ("StableLMEpochForCausalLM", "LlavaStableLMEpochForCausalLM"):
-            return gguf.MODEL_ARCH.STABLELM
-
-        raise NotImplementedError(f'Architecture "{arch}" not supported!')
-
-    def _set_vocab_gpt2(self):
-        dir_model = self.dir_model
-        hparams = self.hparams
-        tokens: list[bytearray] = []
-        toktypes: list[int] = []
-
-        from transformers import AutoTokenizer  # type: ignore[attr-defined]
-        tokenizer = AutoTokenizer.from_pretrained(dir_model)
-        vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))
-        assert max(tokenizer.vocab.values()) < vocab_size
-
-        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
-
-        for i in range(vocab_size):
-            if i not in reverse_vocab:
-                pad_token = f"[PAD{i}]".encode('utf-8')
-                tokens.append(bytearray(pad_token))
-                toktypes.append(gguf.TokenType.USER_DEFINED)
-            elif reverse_vocab[i] in added_vocab:
-                tokens.append(reverse_vocab[i])
-                if tokenizer.added_tokens_decoder[i].special:
-                    toktypes.append(gguf.TokenType.CONTROL)
-                else:
-                    toktypes.append(gguf.TokenType.USER_DEFINED)
-            else:
-                tokens.append(reverse_vocab[i])
-                toktypes.append(gguf.TokenType.NORMAL)
-
-        self.gguf_writer.add_tokenizer_model("gpt2")
-        self.gguf_writer.add_token_list(tokens)
-        self.gguf_writer.add_token_types(toktypes)
-
-        special_vocab = gguf.SpecialVocab(dir_model, load_merges=True)
-        special_vocab.add_to_gguf(self.gguf_writer)
-
-    def _set_vocab_sentencepiece(self):
-        from sentencepiece import SentencePieceProcessor
-
-        tokenizer_path = self.dir_model / 'tokenizer.model'
-
-        tokens: list[bytes] = []
-        scores: list[float] = []
-        toktypes: list[int] = []
-
-        if not tokenizer_path.is_file():
-            print(f'Error: Missing {tokenizer_path}', file=sys.stderr)
-            sys.exit(1)
-
-        tokenizer = SentencePieceProcessor(str(tokenizer_path))
-        vocab_size = self.hparams.get('vocab_size', tokenizer.vocab_size())
-
-        for token_id in range(vocab_size):
-            piece = tokenizer.id_to_piece(token_id)
-            text = piece.encode("utf-8")
-            score = tokenizer.get_score(token_id)
-
-            toktype = SentencePieceTokenTypes.NORMAL
-            if tokenizer.is_unknown(token_id):
-                toktype = SentencePieceTokenTypes.UNKNOWN
-            elif tokenizer.is_control(token_id):
-                toktype = SentencePieceTokenTypes.CONTROL
-            elif tokenizer.is_unused(token_id):
-                toktype = SentencePieceTokenTypes.UNUSED
-            elif tokenizer.is_byte(token_id):
-                toktype = SentencePieceTokenTypes.BYTE
-
-            tokens.append(text)
-            scores.append(score)
-            toktypes.append(toktype)
-
-        added_tokens_file = self.dir_model / 'added_tokens.json'
-        if added_tokens_file.is_file():
-            with open(added_tokens_file, "r", encoding="utf-8") as f:
-                added_tokens_json = json.load(f)
-
-                for key in added_tokens_json:
-                    tokens.append(key.encode("utf-8"))
-                    scores.append(-1000.0)
-                    toktypes.append(SentencePieceTokenTypes.USER_DEFINED)
-
-        self.gguf_writer.add_tokenizer_model("llama")
-        self.gguf_writer.add_token_list(tokens)
-        self.gguf_writer.add_token_scores(scores)
-        self.gguf_writer.add_token_types(toktypes)
-
-        special_vocab = gguf.SpecialVocab(self.dir_model, n_vocab=len(tokens))
-        special_vocab.add_to_gguf(self.gguf_writer)
-
-
-class GPTNeoXModel(Model):
-    def set_gguf_parameters(self):
-        block_count = self.hparams["num_hidden_layers"]
-
-        self.gguf_writer.add_name(self.dir_model.name)
-        self.gguf_writer.add_context_length(self.hparams["max_position_embeddings"])
-        self.gguf_writer.add_embedding_length(self.hparams["hidden_size"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(self.hparams["intermediate_size"])
-        self.gguf_writer.add_rope_dimension_count(
-            int(self.hparams["rotary_pct"] * (self.hparams["hidden_size"] // self.hparams["num_attention_heads"])),
-        )
-        self.gguf_writer.add_head_count(self.hparams["num_attention_heads"])
-        self.gguf_writer.add_parallel_residual(self.hparams.get("use_parallel_residual", True))
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_eps"])
-
-
-class BloomModel(Model):
-    def set_gguf_parameters(self):
-        self.gguf_writer.add_name("Bloom")
-        n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
-        n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
-        self.gguf_writer.add_context_length(self.hparams.get("seq_length", n_embed))
-        self.gguf_writer.add_embedding_length(n_embed)
-        self.gguf_writer.add_feed_forward_length(4 * n_embed)
-        self.gguf_writer.add_block_count(self.hparams["n_layer"])
-        self.gguf_writer.add_head_count(n_head)
-        self.gguf_writer.add_head_count_kv(n_head)
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_epsilon"])
-        self.gguf_writer.add_file_type(self.ftype)
-
-    def write_tensors(self):
-        block_count = self.hparams["n_layer"]
-        tensors = dict(self.get_tensors())
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-        has_lm_head = True
-        n_head = self.hparams.get("n_head", self.hparams.get("num_attention_heads"))
-        n_embed = self.hparams.get("hidden_size", self.hparams.get("n_embed"))
-
-        for name, data_torch in tensors.items():
-            if "lm_head.weight" not in tensors.keys() and "output.weight" not in tensors.keys():
-                has_lm_head = False
-
-            name = re.sub(r'transformer\.', '', name)
-
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            data = data_torch.squeeze().numpy()
-
-            if re.match(r"h\.\d+\.self_attention\.query_key_value\.weight", name):
-                # Map bloom-style qkv_linear to gpt-style qkv_linear
-                # bloom: https://github.com/huggingface/transformers/blob/main/src/transformers/models/bloom/modeling_bloom.py#L238-L252  # noqa
-                # gpt-2: https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt2/modeling_gpt2.py#L312  # noqa
-                qkv_weights = data.reshape((n_head, 3, n_embed // n_head, n_embed))
-                data = np.concatenate(
-                    (
-                        qkv_weights[:, 0, :, :].reshape((-1, n_embed)),
-                        qkv_weights[:, 1, :, :].reshape((-1, n_embed)),
-                        qkv_weights[:, 2, :, :].reshape((-1, n_embed)),
-                    ),
-                    axis=0,
-                )
-                print("re-format attention.linear_qkv.weight")
-            elif re.match(r"h\.\d+\.self_attention\.query_key_value\.bias", name):
-                qkv_bias = data.reshape((n_head, 3, n_embed // n_head))
-                data = np.concatenate(
-                    (
-                        qkv_bias[:, 0, :].reshape((n_embed,)),
-                        qkv_bias[:, 1, :].reshape((n_embed,)),
-                        qkv_bias[:, 2, :].reshape((n_embed,)),
-                    ),
-                    axis=0,
-                )
-                print("re-format attention.linear_qkv.bias")
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"=> {new_name}, shape = {data.shape}, {old_dtype} --> {data.dtype}")
-
-            self.gguf_writer.add_tensor(new_name, data)
-
-            if not has_lm_head and name == "word_embeddings.weight":
-                self.gguf_writer.add_tensor("output.weight", data)
-                print(name, f"=> output.weight, shape = {data.shape}, {old_dtype} --> {data.dtype}")
-
-
-class MPTModel(Model):
-    def set_gguf_parameters(self):
-        block_count = self.hparams["n_layers"]
-        self.gguf_writer.add_name(self.dir_model.name)
-        self.gguf_writer.add_context_length(self.hparams["max_seq_len"])
-        self.gguf_writer.add_embedding_length(self.hparams["d_model"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(4 * self.hparams["d_model"])
-        self.gguf_writer.add_head_count(self.hparams["n_heads"])
-        if kv_n_heads := self.hparams["attn_config"].get("kv_n_heads"):
-            self.gguf_writer.add_head_count_kv(kv_n_heads)
-        self.gguf_writer.add_layer_norm_eps(1e-5)
-        if self.hparams["attn_config"]["clip_qkv"] is not None:
-            self.gguf_writer.add_clamp_kqv(self.hparams["attn_config"]["clip_qkv"])
-        self.gguf_writer.add_max_alibi_bias(self.hparams["attn_config"]["alibi_bias_max"])
-
-    def write_tensors(self):
-        block_count = self.hparams.get("n_layers", self.hparams.get("num_hidden_layers"))
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-        for name, data_torch in self.get_tensors():
-            # we don't need these
-            if name.endswith((".attention.masked_bias", ".attention.bias", ".attention.rotary_emb.inv_freq")):
-                continue
-
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            data = data_torch.squeeze().numpy()
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"{new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-
-            self.gguf_writer.add_tensor(new_name, data)
-
-            # note: MPT output is tied to (same as) wte in original model;
-            # for easier implementation in llama.cpp it's duplicated in GGUF, though :/
-            if new_name == "token_embd.weight":
-                self.gguf_writer.add_tensor("output.weight", data)
-
-
-class BaichuanModel(Model):
-    def set_vocab(self):
-        self._set_vocab_sentencepiece()
-
-    def set_gguf_parameters(self):
-        block_count = self.hparams["num_hidden_layers"]
-        head_count = self.hparams["num_attention_heads"]
-        head_count_kv = self.hparams.get("num_key_value_heads", head_count)
-        hf_repo = self.hparams.get("_name_or_path", "")
-
-        ctx_length = 0
-        if "max_sequence_length" in self.hparams:
-            ctx_length = self.hparams["max_sequence_length"]
-        elif "max_position_embeddings" in self.hparams:
-            ctx_length = self.hparams["max_position_embeddings"]
-        elif "model_max_length" in self.hparams:
-            ctx_length = self.hparams["model_max_length"]
-        else:
-            print("gguf: can not find ctx length parameter.")
-            sys.exit()
-
-        self.gguf_writer.add_name(self.dir_model.name)
-        self.gguf_writer.add_source_hf_repo(hf_repo)
-        self.gguf_writer.add_tensor_data_layout("Meta AI original pth")
-        self.gguf_writer.add_context_length(ctx_length)
-        self.gguf_writer.add_embedding_length(self.hparams["hidden_size"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(self.hparams["intermediate_size"])
-        self.gguf_writer.add_rope_dimension_count(self.hparams["hidden_size"] // self.hparams["num_attention_heads"])
-        self.gguf_writer.add_head_count(head_count)
-        self.gguf_writer.add_head_count_kv(head_count_kv)
-        self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
-
-        if self.hparams.get("rope_scaling") is not None and "factor" in self.hparams["rope_scaling"]:
-            if self.hparams["rope_scaling"].get("type") == "linear":
-                self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.LINEAR)
-                self.gguf_writer.add_rope_scaling_factor(self.hparams["rope_scaling"]["factor"])
-
-    def write_tensors(self):
-        # Collect tensors from generator object
-        model_kv = dict(self.get_tensors())
-        block_count = self.hparams["num_hidden_layers"]
-        head_count = self.hparams["num_attention_heads"]
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-        head_count_kv = self.hparams.get("num_key_value_heads", head_count)
-
-        for i in range(block_count):
-            if (w := model_kv.get(f"model.layers.{i}.self_attn.W_pack.weight")) is not None:
-                print(f"Unpacking and permuting layer {i}")
-                model_kv[f"model.layers.{i}.self_attn.q_proj.weight"] = \
-                    self._reverse_hf_permute_part(w, 0, head_count, head_count)
-                model_kv[f"model.layers.{i}.self_attn.k_proj.weight"] = \
-                    self._reverse_hf_permute_part(w, 1, head_count, head_count_kv)
-                model_kv[f"model.layers.{i}.self_attn.v_proj.weight"] = \
-                    self._reverse_hf_part(w, 2)
-                del model_kv[f"model.layers.{i}.self_attn.W_pack.weight"]
-
-        for name, data_torch in model_kv.items():
-            # we don't need these
-            if name.endswith(".rotary_emb.inv_freq"):
-                continue
-
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            data = data_torch.squeeze().numpy()
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"{name} -> {new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-            self.gguf_writer.add_tensor(new_name, data)
-
-    def _reverse_hf_permute(self, weights: Tensor, n_head: int, n_kv_head: int | None = None) -> Tensor:
-        if n_kv_head is not None and n_head != n_kv_head:
-            n_head //= n_kv_head
-
-        return (
-            weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:])
-            .swapaxes(1, 2)
-            .reshape(weights.shape)
-        )
-
-    def _reverse_hf_permute_part(
-        self, weights: Tensor, n_part: int, n_head: int, n_head_kv: int | None = None,
-    ) -> Tensor:
-        r = weights.shape[0] // 3
-        return self._reverse_hf_permute(weights[r * n_part:r * n_part + r, ...], n_head, n_head_kv)
-
-    def _reverse_hf_part(self, weights: Tensor, n_part: int) -> Tensor:
-        r = weights.shape[0] // 3
-        return weights[r * n_part:r * n_part + r, ...]
-
-
-class FalconModel(Model):
-    def set_gguf_parameters(self):
-        block_count = self.hparams.get("num_hidden_layers")
-        if block_count is None:
-            block_count = self.hparams["n_layer"]  # old name
-
-        n_head = self.hparams.get("num_attention_heads")
-        if n_head is None:
-            n_head = self.hparams["n_head"]  # old name
-
-        n_head_kv = self.hparams.get("num_kv_heads")
-        if n_head_kv is None:
-            n_head_kv = self.hparams.get("n_head_kv", 1)  # old name
-
-        self.gguf_writer.add_name("Falcon")
-        self.gguf_writer.add_context_length(2048)  # not in config.json
-        self.gguf_writer.add_tensor_data_layout("jploski")  # qkv tensor transform
-        self.gguf_writer.add_embedding_length(self.hparams["hidden_size"])
-        self.gguf_writer.add_feed_forward_length(4 * self.hparams["hidden_size"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_head_count(n_head)
-        self.gguf_writer.add_head_count_kv(n_head_kv)
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_epsilon"])
-        self.gguf_writer.add_file_type(self.ftype)
-
-    def write_tensors(self):
-        block_count = self.hparams.get("num_hidden_layers")
-        if block_count is None:
-            block_count = self.hparams["n_layer"]  # old name
-
-        n_head = self.hparams.get("num_attention_heads")
-        if n_head is None:
-            n_head = self.hparams["n_head"]  # old name
-
-        n_head_kv = self.hparams.get("num_kv_heads")
-        if n_head_kv is None:
-            n_head_kv = self.hparams.get("n_head_kv", 1)  # old name
-
-        head_dim = self.hparams["hidden_size"] // n_head
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-
-        for name, data_torch in self.get_tensors():
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            # QKV tensor transform
-            # The original query_key_value tensor contains n_head_kv "kv groups",
-            # each consisting of n_head/n_head_kv query weights followed by one key
-            # and one value weight (shared by all query heads in the kv group).
-            # This layout makes it a big pain to work with in GGML.
-            # So we rearrange them here,, so that we have n_head query weights
-            # followed by n_head_kv key weights followed by n_head_kv value weights,
-            # in contiguous fashion.
-            # ref: https://github.com/jploski/ggml/blob/falcon40b/examples/falcon/convert-hf-to-ggml.py
-
-            if "query_key_value" in name:
-                qkv = data_torch.view(n_head_kv, n_head // n_head_kv + 2, head_dim, head_dim * n_head)
-                q = qkv[:, :-2].reshape(n_head * head_dim, head_dim * n_head)
-                k = qkv[:, [-2]].reshape(n_head_kv * head_dim, head_dim * n_head)
-                v = qkv[:, [-1]].reshape(n_head_kv * head_dim, head_dim * n_head)
-                data_torch = torch.cat((q, k, v)).reshape_as(data_torch)
-
-            data = data_torch.squeeze().numpy()
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"{new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-
-            self.gguf_writer.add_tensor(new_name, data)
-
-
-class StarCoderModel(Model):
-    def set_gguf_parameters(self):
-        block_count = self.hparams["n_layer"]
-
-        self.gguf_writer.add_name("StarCoder")
-        self.gguf_writer.add_context_length(self.hparams["n_positions"])
-        self.gguf_writer.add_embedding_length(self.hparams["n_embd"])
-        self.gguf_writer.add_feed_forward_length(4 * self.hparams["n_embd"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_head_count(self.hparams["n_head"])
-        self.gguf_writer.add_head_count_kv(1)
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_epsilon"])
-        self.gguf_writer.add_file_type(self.ftype)
-
-
-class RefactModel(Model):
-    def set_gguf_parameters(self):
-        hidden_dim = self.hparams["n_embd"]
-        inner_dim = 4 * hidden_dim
-        hidden_dim = int(2 * inner_dim / 3)
-        multiple_of = 256
-        ff_dim = multiple_of * ((hidden_dim + multiple_of - 1) // multiple_of)
-
-        block_count = self.hparams["n_layer"]
-
-        self.gguf_writer.add_name("Refact")
-        # refact uses Alibi. So this is from config.json which might be used by training.
-        self.gguf_writer.add_context_length(self.hparams["n_positions"])
-        self.gguf_writer.add_embedding_length(self.hparams["n_embd"])
-
-        self.gguf_writer.add_feed_forward_length(ff_dim)
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_head_count(self.hparams["n_head"])
-        self.gguf_writer.add_head_count_kv(1)
-        self.gguf_writer.add_layer_norm_rms_eps(self.hparams["layer_norm_epsilon"])
-        self.gguf_writer.add_file_type(self.ftype)
-
-    def write_tensors(self):
-        hidden_dim = self.hparams["n_embd"]
-        inner_dim = 4 * hidden_dim
-        hidden_dim = int(2 * inner_dim / 3)
-        multiple_of = 256
-        ff_dim = multiple_of * ((hidden_dim + multiple_of - 1) // multiple_of)
-        n_head = self.hparams["n_head"]
-        n_head_kv = 1
-        head_dim = self.hparams["n_embd"] // n_head
-        block_count = self.hparams["n_layer"]
-
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-
-        tensors = dict(self.get_tensors())
-        for i in range(block_count):
-            if (w := tensors.get(f"transformer.h.{i}.attn.kv.weight")) is not None:
-                tensors[f"model.layers.{i}.self_attn.k_proj.weight"] = w[:n_head_kv * head_dim]
-                tensors[f"model.layers.{i}.self_attn.v_proj.weight"] = w[n_head_kv * head_dim:]
-                del tensors[f"transformer.h.{i}.attn.kv.weight"]
-            if (w := tensors.get(f"transformer.h.{i}.attn.q.weight")) is not None:
-                tensors[f"model.layers.{i}.self_attn.q_proj.weight"] = w
-                del tensors[f"transformer.h.{i}.attn.q.weight"]
-            if (w := tensors.get(f"transformer.h.{i}.mlp.gate_up_proj.weight")) is not None:
-                tensors[f"model.layers.{i}.mlp.gate_proj.weight"] = w[:ff_dim]
-                tensors[f"model.layers.{i}.mlp.up_proj.weight"] = w[ff_dim:]
-                del tensors[f"transformer.h.{i}.mlp.gate_up_proj.weight"]
-
-        for name, data_torch in tensors.items():
-            old_dtype = data_torch.dtype
-
-            # convert any unsupported data types to float32
-            if data_torch.dtype not in (torch.float16, torch.float32):
-                data_torch = data_torch.to(torch.float32)
-
-            data = data_torch.squeeze().numpy()
-
-            # map tensor names
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight",))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-
-            n_dims = len(data.shape)
-            data_dtype = data.dtype
-
-            # if f32 desired, convert any float16 to float32
-            if self.ftype == 0 and data_dtype == np.float16:
-                data = data.astype(np.float32)
-
-            # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
-            if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1:
-                data = data.astype(np.float32)
-
-            # if f16 desired, convert any float32 2-dim weight tensors to float16
-            if self.ftype == 1 and data_dtype == np.float32 and name.endswith(".weight") and n_dims == 2:
-                data = data.astype(np.float16)
-
-            print(f"{new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-
-            self.gguf_writer.add_tensor(new_name, data)
-
-
-class PersimmonModel(Model):
-    def set_gguf_parameters(self):
-        block_count = self.hparams.get("num_layers", self.hparams.get("num_hidden_layers"))
-        head_count = self.hparams["num_attention_heads"]
-        head_count_kv = head_count
-        hidden_size = self.hparams["hidden_size"]
-
-        self.gguf_writer.add_name('persimmon-8b-chat')
-        self.gguf_writer.add_embedding_length(hidden_size)
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(self.hparams["intermediate_size"])
-        self.gguf_writer.add_rope_dimension_count(hidden_size // head_count)
-        self.gguf_writer.add_head_count(head_count)
-        self.gguf_writer.add_head_count_kv(head_count_kv)
-        self.gguf_writer.add_rope_freq_base(self.hparams["rope_theta"])
-        self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_eps"])
-        self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
-
-    def set_vocab(self):
-        self._set_vocab_sentencepiece()
-        # self.gguf_writer.add_bos_token_id(71013)
-        # self.gguf_writer.add_eos_token_id(71013)
-
-    def write_tensors(self):
-        block_count = self.hparams.get("num_layers", self.hparams.get("num_hidden_layers"))
-        tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
-
-        for name, data_torch in self.get_tensors():
-            if name.endswith(".self_attention.rotary_emb.inv_freq"):
-                continue
-            old_dtype = data_torch.dtype
-            # TODO: FP16 conversion produces garbage outputs. (Q8_0 does not, so..?)
-            data = data_torch.to(torch.float32).squeeze().numpy()
-            new_name = tensor_map.get_name(name, try_suffixes=(".weight", ".bias"))
-            if new_name is None:
-                print(f"Can not map tensor {name!r}")
-                sys.exit()
-            n_dims = len(data.shape)
-            print(f"{new_name}, n_dims = {n_dims}, {old_dtype} --> {data.dtype}")
-            self.gguf_writer.add_tensor(new_name, data)
-
-
-class StableLMModel(Model):
-    def set_gguf_parameters(self):
-        hparams = self.hparams
-        block_count = hparams["num_hidden_layers"]
-
-        self.gguf_writer.add_name(dir_model.name)
-        self.gguf_writer.add_context_length(hparams["max_position_embeddings"])
-        self.gguf_writer.add_embedding_length(hparams["hidden_size"])
-        self.gguf_writer.add_block_count(block_count)
-        self.gguf_writer.add_feed_forward_length(hparams["intermediate_size"])
-        self.gguf_writer.add_rope_dimension_count(int(hparams["rope_pct"] * (hparams["hidden_size"] // hparams["num_attention_heads"])))
-        self.gguf_writer.add_head_count(hparams["num_attention_heads"])
-        self.gguf_writer.add_parallel_residual(hparams["use_parallel_residual"] if "use_parallel_residual" in hparams else True)
-        self.gguf_writer.add_layer_norm_eps(1e-5)
-
-###### CONVERSION LOGIC ######
-
-
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser(description="Convert a huggingface model to a GGML compatible file")
-    parser.add_argument(
-        "--vocab-only", action="store_true",
-        help="extract only the vocab",
-    )
-    parser.add_argument(
-        "--outfile", type=Path,
-        help="path to write to; default: based on input",
-    )
-    parser.add_argument(
-        "--outtype", type=str, choices=["f32", "f16"], default="f16",
-        help="output format - use f32 for float32, f16 for float16",
-    )
-    parser.add_argument("--bigendian", action="store_true", help="model is executed on big endian machine")
-    parser.add_argument(
-        "model", type=Path,
-        help="directory containing model file",
-    )
-
-    return parser.parse_args()
-
-
-args = parse_args()
-
-dir_model = args.model
-if not dir_model.is_dir():
-    print(f'Error: {args.model} is not a directory', file=sys.stderr)
-    sys.exit(1)
-
-ftype_map = {
-    "f32": gguf.GGMLQuantizationType.F32,
-    "f16": gguf.GGMLQuantizationType.F16,
-}
-
-if args.outfile is not None:
-    fname_out = args.outfile
-else:
-    # output in the same directory as the model by default
-    fname_out = dir_model / f'ggml-model-{args.outtype}.gguf'
-
-print(f"Loading model: {dir_model.name}")
-
-hparams = Model.load_hparams(dir_model)
-
-with torch.inference_mode():
-    model_class = Model.from_model_architecture(hparams["architectures"][0])
-    model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian)
-
-    print("Set model parameters")
-    model_instance.set_gguf_parameters()
-
-    print("Set model tokenizer")
-    model_instance.set_vocab()
-
-    if args.vocab_only:
-        print(f"Exporting model vocab to '{fname_out}'")
-        model_instance.write_vocab()
-    else:
-        print(f"Exporting model to '{fname_out}'")
-        model_instance.write()
-
-    print(f"Model successfully exported to '{fname_out}'")
diff --git a/huggingface_scraper/libllama/convert.py b/huggingface_scraper/libllama/convert.py
deleted file mode 100644
index 3ad836c..0000000
--- a/huggingface_scraper/libllama/convert.py
+++ /dev/null
@@ -1,1228 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import argparse
-import concurrent.futures
-import enum
-import faulthandler
-import functools
-import itertools
-import json
-import math
-import mmap
-import pickle
-import re
-import signal
-import struct
-import sys
-import time
-import zipfile
-from abc import ABCMeta, abstractmethod
-from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
-from dataclasses import dataclass
-from pathlib import Path
-from typing import IO, TYPE_CHECKING, Any, Callable, Iterable, Literal, TypeVar
-
-import numpy as np
-from sentencepiece import SentencePieceProcessor
-
-import os
-if 'NO_LOCAL_GGUF' not in os.environ:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
-import gguf
-
-if TYPE_CHECKING:
-    from typing import TypeAlias
-
-if hasattr(faulthandler, 'register') and hasattr(signal, 'SIGUSR1'):
-    faulthandler.register(signal.SIGUSR1)
-
-NDArray: TypeAlias = 'np.ndarray[Any, Any]'
-
-ARCH = gguf.MODEL_ARCH.LLAMA
-
-DEFAULT_CONCURRENCY = 8
-#
-# data types
-#
-
-
-@dataclass(frozen=True)
-class DataType:
-    name: str
-    dtype: np.dtype[Any]
-    valid_conversions: list[str]
-
-    def elements_to_bytes(self, n_elements: int) -> int:
-        return n_elements * self.dtype.itemsize
-
-
-@dataclass(frozen=True)
-class UnquantizedDataType(DataType):
-    pass
-
-
-DT_F16  = UnquantizedDataType('F16', dtype = np.dtype(np.float16), valid_conversions = ['F32', 'Q8_0'])
-DT_F32  = UnquantizedDataType('F32', dtype = np.dtype(np.float32), valid_conversions = ['F16', 'Q8_0'])
-DT_I32  = UnquantizedDataType('I32', dtype = np.dtype(np.int16), valid_conversions = [])
-DT_BF16 = UnquantizedDataType('BF16', dtype = np.dtype(np.uint16), valid_conversions = ['F32', 'F16', 'Q8_0'])
-
-
-@dataclass(frozen=True)
-class QuantizedDataType(DataType):
-    block_size: int
-    quantized_dtype: np.dtype[Any]
-    ggml_type: gguf.GGMLQuantizationType
-
-    def quantize(self, arr: NDArray) -> NDArray:
-        raise NotImplementedError(f'Quantization for {self.name} not implemented')
-
-    def elements_to_bytes(self, n_elements: int) -> int:
-        assert n_elements % self.block_size == 0, f'Invalid number of elements {n_elements} for {self.name} with block size {self.block_size}'
-        return self.quantized_dtype.itemsize * (n_elements // self.block_size)
-
-
-@dataclass(frozen=True)
-class Q8_0QuantizedDataType(QuantizedDataType):
-    # Mini Q8_0 quantization in Python!
-    def quantize(self, arr: NDArray) -> NDArray:
-        assert arr.size % self.block_size == 0 and arr.size != 0, f'Bad array size {arr.size}'
-        assert arr.dtype == np.float32, f'Bad array type {arr.dtype}'
-        n_blocks = arr.size // self.block_size
-        blocks = arr.reshape((n_blocks, self.block_size))
-        # Much faster implementation of block quantization contributed by @Cebtenzzre
-
-        def quantize_blocks_q8_0(blocks: NDArray) -> Iterable[tuple[Any, Any]]:
-            d = abs(blocks).max(axis = 1) / np.float32(127)
-            with np.errstate(divide = 'ignore'):
-                qs = (blocks / d[:, None]).round()
-            qs[d == 0] = 0
-            yield from zip(d, qs)
-        return np.fromiter(quantize_blocks_q8_0(blocks), count = n_blocks, dtype = self.quantized_dtype)
-
-
-DT_Q8_0 = Q8_0QuantizedDataType('Q8_0',
-                                dtype = np.dtype(np.float32), valid_conversions = [],
-                                ggml_type = gguf.GGMLQuantizationType.Q8_0, block_size = 32,
-                                quantized_dtype = np.dtype([('d', '<f2'), ('qs', 'i1', (32,))]))
-
-# Quantized types skipped here because they may also map to np.float32
-NUMPY_TYPE_TO_DATA_TYPE: dict[np.dtype[Any], DataType] = {}
-for dt in (DT_BF16, DT_F16, DT_F32, DT_I32):
-    if dt.dtype in NUMPY_TYPE_TO_DATA_TYPE:
-        raise ValueError(f'Invalid duplicate data type {dt}')
-    NUMPY_TYPE_TO_DATA_TYPE[dt.dtype] = dt
-
-SAFETENSORS_DATA_TYPES: dict[str, DataType] = {
-    'BF16': DT_BF16,
-    'F16': DT_F16,
-    'F32': DT_F32,
-    'I32': DT_I32,
-}
-
-# TODO: match this with `llama_ftype`
-# TODO: rename to LLAMAFileType
-# TODO: move to `gguf.py`
-
-
-class GGMLFileType(enum.IntEnum):
-    AllF32     = 0
-    MostlyF16  = 1  # except 1d tensors
-    MostlyQ8_0 = 7  # except 1d tensors
-
-    def type_for_tensor(self, name: str, tensor: LazyTensor) -> DataType:
-        dt = GGML_FILE_TYPE_TO_DATA_TYPE.get(self)
-        if dt is None:
-            raise ValueError(self)
-        # 1D tensors are always F32.
-        return dt if len(tensor.shape) > 1 else DT_F32
-
-
-GGML_FILE_TYPE_TO_DATA_TYPE: dict[GGMLFileType, DataType] = {
-    GGMLFileType.AllF32    : DT_F32,
-    GGMLFileType.MostlyF16 : DT_F16,
-    GGMLFileType.MostlyQ8_0: DT_Q8_0,
-}
-
-#
-# hparams loading
-#
-
-
-@dataclass
-class Params:
-    n_vocab:    int
-    n_embd:     int
-    n_layer:    int
-    n_ctx:      int
-    n_ff:       int
-    n_head:     int
-    n_head_kv:  int
-    f_norm_eps: float
-
-    rope_scaling_type: gguf.RopeScalingType | None = None
-    f_rope_freq_base: float | None = None
-    f_rope_scale: float | None = None
-    n_orig_ctx: int | None = None
-    rope_finetuned: bool | None = None
-
-    ftype: GGMLFileType | None = None
-
-    # path to the directory containing the model files
-    path_model: Path | None = None
-
-    @staticmethod
-    def guessed(model: LazyModel) -> Params:
-        # try transformer naming first
-        n_vocab, n_embd = model["model.embed_tokens.weight"].shape if "model.embed_tokens.weight" in model else model["tok_embeddings.weight"].shape
-
-        # try transformer naming first
-        if "model.layers.0.self_attn.q_proj.weight" in model:
-            n_layer = next(i for i in itertools.count() if f"model.layers.{i}.self_attn.q_proj.weight" not in model)
-        elif "model.layers.0.self_attn.W_pack.weight" in model:   # next: try baichuan naming
-            n_layer = next(i for i in itertools.count() if f"model.layers.{i}.self_attn.W_pack.weight" not in model)
-        else:
-            n_layer = next(i for i in itertools.count() if f"layers.{i}.attention.wq.weight" not in model)
-
-        if n_layer < 1:
-            raise Exception("failed to guess 'n_layer'. This model is unknown or unsupported.\n"
-                            "Suggestion: provide 'config.json' of the model in the same directory containing model files.")
-
-        n_head = n_embd // 128 # guessed
-        n_mult = 256           # guessed
-
-        # TODO: verify this
-        n_ff = int(2 * (4 * n_embd) / 3)
-        n_ff = n_mult * ((n_ff + n_mult - 1) // n_mult)
-
-        return Params(
-            n_vocab    = n_vocab,
-            n_embd     = n_embd,
-            n_layer    = n_layer,
-            n_ctx      = -1,
-            n_ff       = n_ff,
-            n_head     = n_head,
-            n_head_kv  = n_head,
-            f_norm_eps = 1e-5,
-        )
-
-    @staticmethod
-    def loadHFTransformerJson(model: LazyModel, config_path: Path) -> Params:
-        config = json.load(open(config_path))
-
-        rope_scaling_type = f_rope_scale = n_orig_ctx = rope_finetuned = None
-        rope_scaling = config.get("rope_scaling")
-
-        if rope_scaling is not None and (typ := rope_scaling.get("type")):
-            rope_factor = rope_scaling.get("factor")
-            f_rope_scale = rope_factor
-            if typ == "linear":
-                rope_scaling_type = gguf.RopeScalingType.LINEAR
-            elif typ == "yarn":
-                rope_scaling_type = gguf.RopeScalingType.YARN
-                n_orig_ctx = rope_scaling['original_max_position_embeddings']
-                rope_finetuned = rope_scaling['finetuned']
-            else:
-                raise NotImplementedError(f'Unknown rope scaling type: {typ}')
-
-        if "max_sequence_length" in config:
-            n_ctx = config["max_sequence_length"]
-        elif "max_position_embeddings" in config:
-            n_ctx = config["max_position_embeddings"]
-        else:
-            raise Exception("failed to guess 'n_ctx'. This model is unknown or unsupported.\n"
-                            "Suggestion: provide 'config.json' of the model in the same directory containing model files.")
-
-        return Params(
-            n_vocab           = config["vocab_size"],
-            n_embd            = config["hidden_size"],
-            n_layer           = config["num_hidden_layers"],
-            n_ctx             = n_ctx,
-            n_ff              = config["intermediate_size"],
-            n_head            = (n_head := config["num_attention_heads"]),
-            n_head_kv         = config.get("num_key_value_heads", n_head),
-            f_norm_eps        = config["rms_norm_eps"],
-            f_rope_freq_base  = config.get("rope_theta"),
-            rope_scaling_type = rope_scaling_type,
-            f_rope_scale      = f_rope_scale,
-            n_orig_ctx        = n_orig_ctx,
-            rope_finetuned    = rope_finetuned,
-        )
-
-    # LLaMA v2 70B params.json
-    # {"dim": 8192, "multiple_of": 4096, "ffn_dim_multiplier": 1.3, "n_heads": 64, "n_kv_heads": 8, "n_layers": 80, "norm_eps": 1e-05, "vocab_size": -1}
-    @staticmethod
-    def loadOriginalParamsJson(model: LazyModel, config_path: Path) -> Params:
-        config = json.load(open(config_path))
-
-        # hack to determine LLaMA v1 vs v2 vs CodeLlama
-        if config.get("rope_theta") == 1000000:
-            # CodeLlama
-            n_ctx = 16384
-        elif config["norm_eps"] == 1e-05:
-            # LLaMA v2
-            n_ctx = 4096
-        else:
-            # LLaMA v1
-            n_ctx = 2048
-
-        return Params(
-            n_vocab          = config.get("vocab_size", model["tok_embeddings.weight"].shape[0]),
-            n_embd           = config["dim"],
-            n_layer          = config["n_layers"],
-            n_ctx            = n_ctx,
-            n_ff             = model["layers.0.feed_forward.w1.weight"].shape[0],
-            n_head           = (n_head := config["n_heads"]),
-            n_head_kv        = config.get("n_kv_heads", n_head),
-            f_norm_eps       = config["norm_eps"],
-            f_rope_freq_base = config.get("rope_theta"),
-        )
-
-    @staticmethod
-    def load(model_plus: ModelPlus) -> Params:
-        hf_config_path   = model_plus.paths[0].parent / "config.json"
-        orig_config_path = model_plus.paths[0].parent / "params.json"
-
-        if hf_config_path.exists():
-            params = Params.loadHFTransformerJson(model_plus.model, hf_config_path)
-        elif orig_config_path.exists():
-            params = Params.loadOriginalParamsJson(model_plus.model, orig_config_path)
-        elif model_plus.format != 'none':
-            params = Params.guessed(model_plus.model)
-        else:
-            raise ValueError('Cannot guess params when model format is none')
-
-        params.path_model = model_plus.paths[0].parent
-
-        return params
-
-
-#
-# vocab
-#
-
-class BpeVocab:
-    def __init__(self, fname_tokenizer: Path, fname_added_tokens: Path | None) -> None:
-        self.bpe_tokenizer = json.loads(open(str(fname_tokenizer), encoding="utf-8").read())
-        added_tokens: dict[str, int]
-        if fname_added_tokens is not None:
-            # FIXME: Verify that added tokens here _cannot_ overlap with the main vocab.
-            added_tokens = json.load(open(fname_added_tokens, encoding="utf-8"))
-        else:
-            # Fall back to trying to find the added tokens in tokenizer.json
-            tokenizer_json_file = fname_tokenizer.parent / 'tokenizer.json'
-            if not tokenizer_json_file.is_file():
-                added_tokens = {}
-            else:
-                tokenizer_json = json.load(open(tokenizer_json_file, encoding="utf-8"))
-                added_tokens = dict(
-                    (item['content'], item['id'])
-                    for item in tokenizer_json.get('added_tokens', [])
-                    # Added tokens here can be duplicates of the main vocabulary.
-                    if item['content'] not in self.bpe_tokenizer)
-
-        vocab_size: int = len(self.bpe_tokenizer)
-        expected_ids    = list(range(vocab_size, vocab_size + len(added_tokens)))
-        actual_ids      = sorted(added_tokens.values())
-        if expected_ids != actual_ids:
-            expected_end_id = vocab_size + len(actual_ids) - 1
-            raise Exception(f"Expected the {len(actual_ids)} added token ID(s) to be sequential in the range {vocab_size} - {expected_end_id}; got {actual_ids}")
-
-        items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1])
-        self.added_tokens_list    = [text for (text, idx) in items]
-        self.vocab_size_base: int = vocab_size
-        self.vocab_size: int      = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer      = fname_tokenizer
-        self.fname_added_tokens   = fname_added_tokens
-
-    def bpe_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        tokenizer = self.bpe_tokenizer
-        reverse_vocab = {id: encoded_tok for encoded_tok, id in tokenizer.items()}
-
-        for i, _ in enumerate(tokenizer):
-            yield reverse_vocab[i], 0.0, gguf.TokenType.NORMAL
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.CONTROL
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.bpe_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<BpeVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
-class SentencePieceVocab:
-    def __init__(self, fname_tokenizer: Path, fname_added_tokens: Path | None) -> None:
-        self.sentencepiece_tokenizer = SentencePieceProcessor(str(fname_tokenizer))
-        added_tokens: dict[str, int]
-        if fname_added_tokens is not None:
-            added_tokens = json.load(open(fname_added_tokens, encoding="utf-8"))
-        else:
-            added_tokens = {}
-
-        vocab_size: int = self.sentencepiece_tokenizer.vocab_size()
-
-        new_tokens       = {id: piece for piece, id in added_tokens.items() if id >= vocab_size}
-        expected_new_ids = list(range(vocab_size, vocab_size + len(new_tokens)))
-        actual_new_ids   = sorted(new_tokens.keys())
-
-        if expected_new_ids != actual_new_ids:
-            raise ValueError(f"Expected new token IDs {expected_new_ids} to be sequential; got {actual_new_ids}")
-
-        # Token pieces that were added to the base vocabulary.
-        self.added_tokens_list  = [new_tokens[id] for id in actual_new_ids]
-        self.vocab_size_base    = vocab_size
-        self.vocab_size         = self.vocab_size_base + len(self.added_tokens_list)
-        self.fname_tokenizer    = fname_tokenizer
-        self.fname_added_tokens = fname_added_tokens
-
-    def sentencepiece_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        tokenizer = self.sentencepiece_tokenizer
-        for i in range(tokenizer.vocab_size()):
-            piece = tokenizer.id_to_piece(i)
-            text: bytes = piece.encode("utf-8")
-            score: float = tokenizer.get_score(i)
-
-            toktype = gguf.TokenType.NORMAL
-            if tokenizer.is_unknown(i):
-                toktype = gguf.TokenType.UNKNOWN
-            if tokenizer.is_control(i):
-                toktype = gguf.TokenType.CONTROL
-
-            # NOTE: I think added_tokens are user defined.
-            # ref: https://github.com/google/sentencepiece/blob/master/src/sentencepiece_model.proto
-            # if tokenizer.is_user_defined(i): toktype = gguf.TokenType.USER_DEFINED
-
-            if tokenizer.is_unused(i):
-                toktype = gguf.TokenType.UNUSED
-            if tokenizer.is_byte(i):
-                toktype = gguf.TokenType.BYTE
-
-            yield text, score, toktype
-
-    def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        for text in self.added_tokens_list:
-            score = -1000.0
-            yield text.encode("utf-8"), score, gguf.TokenType.USER_DEFINED
-
-    def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
-        yield from self.sentencepiece_tokens()
-        yield from self.added_tokens()
-
-    def __repr__(self) -> str:
-        return f"<SentencePieceVocab with {self.vocab_size_base} base tokens and {len(self.added_tokens_list)} added tokens>"
-
-
-Vocab: TypeAlias = 'BpeVocab | SentencePieceVocab'
-
-#
-# data loading
-# TODO: reuse (probably move to gguf.py?)
-#
-
-
-def permute(weights: NDArray, n_head: int, n_head_kv: int) -> NDArray:
-    # print( "permute debug " + str(weights.shape[0]) + " x " + str(weights.shape[1]) + " nhead " + str(n_head) + " nheadkv " + str(n_kv_head) )
-    if n_head_kv is not None and n_head != n_head_kv:
-        n_head = n_head_kv
-    return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:])
-            .swapaxes(1, 2)
-            .reshape(weights.shape))
-
-
-class Tensor(metaclass=ABCMeta):
-    data_type: DataType
-
-    @abstractmethod
-    def astype(self, data_type: DataType) -> Tensor: ...
-    @abstractmethod
-    def permute(self, n_head: int, n_head_kv: int) -> Tensor: ...
-    @abstractmethod
-    def permute_part(self, n_part: int, n_head: int, n_head_kv: int) -> UnquantizedTensor: ...
-    @abstractmethod
-    def part(self, n_part: int) -> UnquantizedTensor: ...
-    @abstractmethod
-    def to_ggml(self) -> GGMLCompatibleTensor: ...
-
-
-def bf16_to_fp32(bf16_arr: np.ndarray[Any, np.dtype[np.uint16]]) -> NDArray:
-    assert bf16_arr.dtype == np.uint16, f"Input array should be of dtype uint16, but got {bf16_arr.dtype}"
-    fp32_arr = bf16_arr.astype(np.uint32) << 16
-    return fp32_arr.view(np.float32)
-
-
-class UnquantizedTensor(Tensor):
-    def __init__(self, ndarray: NDArray) -> None:
-        assert isinstance(ndarray, np.ndarray)
-        self.ndarray = ndarray
-        self.data_type = NUMPY_TYPE_TO_DATA_TYPE[ndarray.dtype]
-
-    def astype(self, data_type: DataType) -> Tensor:
-        dtype = data_type.dtype
-        if self.data_type == DT_BF16:
-            self.ndarray = bf16_to_fp32(self.ndarray)
-        return UnquantizedTensor(self.ndarray.astype(dtype))
-
-    def to_ggml(self) -> UnquantizedTensor:
-        return self
-
-    def permute_part(self, n_part: int, n_head: int, n_head_kv: int) -> UnquantizedTensor:
-        r = self.ndarray.shape[0] // 3
-        return UnquantizedTensor(permute(self.ndarray[r * n_part : r * n_part + r, ...], n_head, n_head_kv))
-
-    def part(self, n_part: int) -> UnquantizedTensor:
-        r = self.ndarray.shape[0] // 3
-        return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...])
-
-    def permute(self, n_head: int, n_head_kv: int) -> UnquantizedTensor:
-        return UnquantizedTensor(permute(self.ndarray, n_head, n_head_kv))
-
-
-def load_unquantized(lazy_tensor: LazyTensor, expected_dtype: Any = None, convert: bool = False) -> NDArray:
-    tensor = lazy_tensor.load()
-    assert isinstance(tensor, UnquantizedTensor)
-
-    # double-check:
-    actual_shape = list(tensor.ndarray.shape)
-    assert actual_shape == lazy_tensor.shape, (actual_shape, lazy_tensor.shape)
-    if expected_dtype is not None and expected_dtype != tensor.ndarray.dtype:
-        if convert:
-            tensor.ndarray = tensor.ndarray.astype(expected_dtype)
-        else:
-            raise ValueError(f'expected this tensor to have dtype {expected_dtype}, got {tensor.ndarray.dtype}')
-
-    return tensor.ndarray
-
-
-GGMLCompatibleTensor = UnquantizedTensor
-
-
-@dataclass
-class LazyTensor:
-    _load: Callable[[], Tensor]
-    shape: list[int]
-    data_type: DataType
-    description: str
-
-    def load(self) -> Tensor:
-        ret = self._load()
-        # Should be okay if it maps to the same numpy type?
-        assert ret.data_type == self.data_type or (self.data_type.dtype == ret.data_type.dtype), \
-            (self.data_type, ret.data_type, self.description)
-        return ret
-
-    def astype(self, data_type: DataType) -> LazyTensor:
-        self.validate_conversion_to(data_type)
-
-        def load() -> Tensor:
-            return self.load().astype(data_type)
-        return LazyTensor(load, self.shape, data_type, f'convert({data_type}) {self.description}')
-
-    def validate_conversion_to(self, data_type: DataType) -> None:
-        if data_type != self.data_type and data_type.name not in self.data_type.valid_conversions:
-            raise ValueError(f'Cannot validate conversion from {self.data_type} to {data_type}.')
-
-
-LazyModel: TypeAlias = 'dict[str, LazyTensor]'
-
-
-@dataclass
-class ModelPlus:
-    model: LazyModel
-    paths: list[Path]  # Where this was read from.
-    format: Literal['ggml', 'torch', 'safetensors', 'none']
-    vocab: Vocab | None  # For GGML models (which have vocab built in), the vocab.
-
-
-def merge_sharded(models: list[LazyModel]) -> LazyModel:
-    # Original LLaMA models have each file contain one part of each tensor.
-    # Use a dict instead of a set to preserve order.
-    names = {name: None for model in models for name in model}
-
-    def convert(name: str) -> LazyTensor:
-        lazy_tensors: list[LazyTensor] = [model[name] for model in models]
-        if len(lazy_tensors) == 1:
-            # only one file; don't go through this procedure since there might
-            # be quantized tensors
-            return lazy_tensors[0]
-        if len(lazy_tensors[0].shape) == 1:
-            # the tensor is just duplicated in every file
-            return lazy_tensors[0]
-        if name.startswith('tok_embeddings.') or \
-           name.endswith('.attention.wo.weight') or \
-           name.endswith('.feed_forward.w2.weight'):
-            # split by columns
-            axis = 1
-        else:
-            # split by rows
-            axis = 0
-        concatenated_shape = list(lazy_tensors[0].shape)
-        concatenated_shape[axis] = sum(tensor.shape[axis] for tensor in lazy_tensors)
-
-        def load() -> UnquantizedTensor:
-            ndarrays = [load_unquantized(tensor) for tensor in lazy_tensors]
-            concatenated: NDArray = np.concatenate(ndarrays, axis=axis)
-            return UnquantizedTensor(concatenated)
-        description = 'concatenated[[' + '] | ['.join(lt.description for lt in lazy_tensors) + ']]'
-        return LazyTensor(load, concatenated_shape, lazy_tensors[0].data_type, description)
-    return {name: convert(name) for name in names}
-
-
-def merge_multifile_models(models_plus: list[ModelPlus]) -> ModelPlus:
-    formats = set(mp.format for mp in models_plus)
-    assert len(formats) == 1, "different formats?"
-    format = formats.pop()
-    paths = [path for mp in models_plus for path in mp.paths]
-    # Use the first non-None vocab, if any.
-    try:
-        vocab = next(mp.vocab for mp in models_plus if mp.vocab is not None)
-    except StopIteration:
-        vocab = None
-
-    if any("model.embed_tokens.weight" in mp.model for mp in models_plus):
-        # Transformers models put different tensors in different files, but
-        # don't split indivdual tensors between files.
-        model: LazyModel = {}
-        for mp in models_plus:
-            model.update(mp.model)
-    else:
-        model = merge_sharded([mp.model for mp in models_plus])
-
-    return ModelPlus(model, paths, format, vocab)
-
-
-def permute_lazy(lazy_tensor: LazyTensor, n_head: int, n_head_kv: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().permute(n_head, n_head_kv)
-    return LazyTensor(load, lazy_tensor.shape, lazy_tensor.data_type, f'permute({n_head}, {n_head_kv}) ' + lazy_tensor.description)
-
-
-def permute_part_lazy(lazy_tensor: LazyTensor, n_part: int, n_head: int, n_head_kv: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().permute_part(n_part, n_head, n_head_kv)
-    s = lazy_tensor.shape.copy()
-    s[0] = s[0] // 3
-    return LazyTensor(load, s, lazy_tensor.data_type, f'permute({n_head}, {n_head_kv}) ' + lazy_tensor.description)
-
-
-def part_lazy(lazy_tensor: LazyTensor, n_part: int) -> LazyTensor:
-    def load() -> Tensor:
-        return lazy_tensor.load().part(n_part)
-    s = lazy_tensor.shape.copy()
-    s[0] = s[0] // 3
-    return LazyTensor(load, s, lazy_tensor.data_type, 'part ' + lazy_tensor.description)
-
-
-# Functionality that simulates `torch.load` but where individual tensors are
-# only loaded into memory on demand, not all at once.
-# PyTorch can't do this natively as of time of writing:
-# - https://github.com/pytorch/pytorch/issues/64327
-# This allows us to de-shard without multiplying RAM usage, and also
-# conveniently drops the PyTorch dependency (though we still need numpy).
-
-
-@dataclass
-class LazyStorageKind:
-    data_type: DataType
-
-
-@dataclass
-class LazyStorage:
-    load: Callable[[int, int], NDArray]
-    kind: LazyStorageKind
-    description: str
-
-
-class LazyUnpickler(pickle.Unpickler):
-    def __init__(self, fp: IO[bytes], data_base_path: str, zip_file: zipfile.ZipFile):
-        super().__init__(fp)
-        self.data_base_path = data_base_path
-        self.zip_file = zip_file
-
-    def persistent_load(self, pid: Any) -> Any:
-        assert pid[0] == 'storage'
-        assert isinstance(pid[1], LazyStorageKind)
-        data_type = pid[1].data_type
-        filename_stem = pid[2]
-        filename = f'{self.data_base_path}/{filename_stem}'
-        info = self.zip_file.getinfo(filename)
-
-        def load(offset: int, elm_count: int) -> NDArray:
-            dtype = data_type.dtype
-            fp = self.zip_file.open(info)
-            fp.seek(offset * dtype.itemsize)
-            size = elm_count * dtype.itemsize
-            data = fp.read(size)
-            assert len(data) == size
-            return np.frombuffer(data, dtype)
-        description = f'storage data_type={data_type} path-in-zip={filename} path={self.zip_file.filename}'
-        return LazyStorage(load=load, kind=pid[1], description=description)
-
-    @staticmethod
-    def lazy_rebuild_tensor_v2(storage: Any, storage_offset: Any, size: Any, stride: Any,
-                               requires_grad: Any, backward_hooks: Any, metadata: Any = None) -> LazyTensor:
-        assert isinstance(storage, LazyStorage)
-
-        def load() -> UnquantizedTensor:
-            elm_count = stride[0] * size[0]
-            return UnquantizedTensor(storage.load(storage_offset, elm_count).reshape(size))
-        description = f'pickled storage_offset={storage_offset} in {storage.description}'
-        return LazyTensor(load, list(size), storage.kind.data_type, description)
-
-    @staticmethod
-    def rebuild_from_type_v2(func, new_type, args, state):
-        return func(*args)
-
-    CLASSES: dict[tuple[str, str], Any] = {
-        # getattr used here as a workaround for mypy not being smart enough to detrmine
-        # the staticmethods have a __func__ attribute.
-        ('torch._tensor', '_rebuild_from_type_v2'): getattr(rebuild_from_type_v2, '__func__'),
-        ('torch._utils', '_rebuild_tensor_v2'): getattr(lazy_rebuild_tensor_v2, '__func__'),
-        ('torch', 'BFloat16Storage'): LazyStorageKind(DT_BF16),
-        ('torch', 'HalfStorage'): LazyStorageKind(DT_F16),
-        ('torch', 'FloatStorage'): LazyStorageKind(DT_F32),
-        ('torch', 'IntStorage'): LazyStorageKind(DT_I32),
-        ('torch', 'Tensor'): LazyTensor,
-    }
-
-    def find_class(self, module: str, name: str) -> Any:
-        if not module.startswith('torch'):
-            return super().find_class(module, name)
-        return self.CLASSES[(module, name)]
-
-
-def lazy_load_torch_file(outer_fp: IO[bytes], path: Path) -> ModelPlus:
-    zf = zipfile.ZipFile(outer_fp)
-    pickle_paths = [name for name in zf.namelist() if name.endswith('.pkl')]
-    assert len(pickle_paths) == 1, pickle_paths
-    pickle_fp = zf.open(pickle_paths[0], 'r')
-    unpickler = LazyUnpickler(pickle_fp,
-                              data_base_path=pickle_paths[0][:-4],
-                              zip_file=zf)
-    model = unpickler.load()
-    if 'model' in model: model = model['model']
-    as_dict = dict(model.items())
-    return ModelPlus(model=as_dict, paths=[path], format='torch', vocab=None)
-
-
-def lazy_load_safetensors_file(fp: IO[bytes], path: Path) -> ModelPlus:
-    header_size, = struct.unpack('<Q', fp.read(8))
-    header: dict[str, dict[str, Any]] = json.loads(fp.read(header_size))
-    # Use mmap for the actual data to avoid race conditions with the file offset.
-    mapped = memoryview(mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ))
-    byte_buf = mapped[8 + header_size:]
-
-    def convert(info: dict[str, Any]) -> LazyTensor:
-        data_type = SAFETENSORS_DATA_TYPES[info['dtype']]
-        numpy_dtype = data_type.dtype
-        shape: list[int] = info['shape']
-        begin, end = info['data_offsets']
-        assert 0 <= begin <= end <= len(byte_buf)
-        assert end - begin == math.prod(shape) * numpy_dtype.itemsize
-        buf = byte_buf[begin:end]
-
-        def load() -> UnquantizedTensor:
-            return UnquantizedTensor(np.frombuffer(buf, dtype=numpy_dtype).reshape(shape))
-        description = f'safetensors begin={begin} end={end} type={data_type} path={path}'
-        return LazyTensor(load, shape, data_type, description)
-    model = {name: convert(info) for (name, info) in header.items() if name != '__metadata__'}
-    return ModelPlus(model=model, paths=[path], format='safetensors', vocab=None)
-
-
-def must_read(fp: IO[bytes], length: int) -> bytes:
-    ret = fp.read(length)
-    if len(ret) < length:
-        raise Exception("unexpectedly reached end of file")
-    return ret
-
-
-@functools.lru_cache(maxsize=None)
-def lazy_load_file(path: Path) -> ModelPlus:
-    fp = open(path, 'rb')
-    first8 = fp.read(8)
-    fp.seek(0)
-    if first8[:2] == b'PK':
-        # A zip file, i.e. PyTorch format
-        return lazy_load_torch_file(fp, path)
-    elif struct.unpack('<Q', first8)[0] < 16 * 1024 * 1024:
-        # Probably safetensors
-        return lazy_load_safetensors_file(fp, path)
-    else:
-        raise ValueError(f"unknown format: {path}")
-
-
-In = TypeVar('In')
-Out = TypeVar('Out')
-
-
-def bounded_parallel_map(func: Callable[[In], Out], iterable: Iterable[In], concurrency: int, max_workers: int | None = None, use_processpool_executor: bool = False) -> Iterable[Out]:
-    '''Parallel map, but with backpressure.  If the caller doesn't call `next`
-    fast enough, this will stop calling `func` at some point rather than
-    letting results pile up in memory.  Specifically, there is a max of one
-    output value buffered per thread.'''
-    if concurrency < 2:
-        yield from map(func, iterable)
-        # Not reached.
-    iterable = iter(iterable)
-    executor_class: type[ThreadPoolExecutor] | type[ProcessPoolExecutor]
-    if use_processpool_executor:
-        executor_class = ProcessPoolExecutor
-    else:
-        executor_class = ThreadPoolExecutor
-    with executor_class(max_workers = max_workers) as executor:
-        futures: list[concurrent.futures.Future[Out]] = []
-        done = False
-        for _ in range(concurrency):
-            try:
-                futures.append(executor.submit(func, next(iterable)))
-            except StopIteration:
-                done = True
-                break
-
-        while futures:
-            result = futures.pop(0).result()
-            while not done and len(futures) < concurrency:
-                try:
-                    futures.append(executor.submit(func, next(iterable)))
-                except StopIteration:
-                    done = True
-                    break
-            yield result
-
-
-def check_vocab_size(params: Params, vocab: Vocab) -> None:
-    if params.n_vocab != vocab.vocab_size:
-        assert isinstance(vocab, BpeVocab) or isinstance(vocab, SentencePieceVocab)
-        if params.n_vocab == vocab.vocab_size_base:
-            print("Ignoring added_tokens.json since model matches vocab size without it.")
-            vocab.added_tokens_list = []
-            vocab.vocab_size = vocab.vocab_size_base
-            return
-        msg = f"Vocab size mismatch (model has {params.n_vocab}, but {vocab.fname_tokenizer}"
-        if vocab.fname_added_tokens is not None:
-            msg += f" combined with {vocab.fname_added_tokens}"
-        msg += f" has {vocab.vocab_size})."
-        if vocab.vocab_size < params.n_vocab < vocab.vocab_size + 20 and vocab.fname_added_tokens is None:
-            msg += f"  Most likely you are missing added_tokens.json (should be in {vocab.fname_tokenizer.parent})."
-        raise Exception(msg)
-
-
-class OutputFile:
-    def __init__(self, fname_out: Path, endianess:gguf.GGUFEndian = gguf.GGUFEndian.LITTLE) -> None:
-        self.gguf = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[ARCH], endianess=endianess)
-
-    def add_meta_arch(self, params: Params) -> None:
-        name = "LLaMA"
-
-        # TODO: better logic to determine model name
-        if params.n_ctx == 4096:
-            name = "LLaMA v2"
-        elif params.path_model is not None:
-            name = str(params.path_model.parent).split('/')[-1]
-
-        self.gguf.add_name                (name)
-        self.gguf.add_context_length      (params.n_ctx)
-        self.gguf.add_embedding_length    (params.n_embd)
-        self.gguf.add_block_count         (params.n_layer)
-        self.gguf.add_feed_forward_length (params.n_ff)
-        self.gguf.add_rope_dimension_count(params.n_embd // params.n_head)
-        self.gguf.add_head_count          (params.n_head)
-        self.gguf.add_head_count_kv       (params.n_head_kv)
-        self.gguf.add_layer_norm_rms_eps  (params.f_norm_eps)
-
-        if params.f_rope_freq_base is not None:
-            self.gguf.add_rope_freq_base(params.f_rope_freq_base)
-
-        if params.rope_scaling_type:
-            assert params.f_rope_scale is not None
-            self.gguf.add_rope_scaling_type(params.rope_scaling_type)
-            self.gguf.add_rope_scaling_factor(params.f_rope_scale)
-
-        if params.n_orig_ctx is not None:
-            self.gguf.add_rope_scaling_orig_ctx_len(params.n_orig_ctx)
-
-        if params.rope_finetuned is not None:
-            self.gguf.add_rope_scaling_finetuned(params.rope_finetuned)
-
-        if params.ftype is not None:
-            self.gguf.add_file_type(params.ftype)
-
-    def add_meta_vocab(self, vocab: Vocab) -> None:
-        tokens = []
-        scores = []
-        toktypes = []
-        # NOTE: `all_tokens` returns the base vocabulary and added tokens
-        for text, score, toktype in vocab.all_tokens():
-            tokens.append(text)
-            scores.append(score)
-            toktypes.append(toktype)
-
-        if isinstance(vocab, SentencePieceVocab):
-            self.gguf.add_tokenizer_model("llama")
-        elif isinstance(vocab, BpeVocab):
-            self.gguf.add_tokenizer_model("gpt2")
-        else:
-            raise ValueError('Unknown vocab type: Not BpeVocab or SentencePieceVocab')
-        self.gguf.add_token_list(tokens)
-        self.gguf.add_token_scores(scores)
-        self.gguf.add_token_types(toktypes)
-
-    def add_meta_special_vocab(self, svocab: gguf.SpecialVocab) -> None:
-        svocab.add_to_gguf(self.gguf)
-
-    def add_tensor_info(self, name: str, tensor: LazyTensor) -> None:
-        n_elements = int(np.prod(tensor.shape))
-        raw_dtype = getattr(tensor.data_type, 'ggml_type', None)
-        data_type = getattr(tensor.data_type, 'quantized_type', None) or tensor.data_type.dtype
-        data_nbytes = tensor.data_type.elements_to_bytes(n_elements)
-        self.gguf.add_tensor_info(name, tensor.shape, data_type, data_nbytes, raw_dtype = raw_dtype)
-
-    def write_meta(self) -> None:
-        self.gguf.write_header_to_file()
-        self.gguf.write_kv_data_to_file()
-
-    def write_tensor_info(self) -> None:
-        self.gguf.write_ti_data_to_file()
-
-    def close(self) -> None:
-        self.gguf.close()
-
-    @staticmethod
-    def write_vocab_only(fname_out: Path, params: Params, vocab: Vocab, svocab: gguf.SpecialVocab, endianess:gguf.GGUFEndian = gguf.GGUFEndian.LITTLE) -> None:
-        check_vocab_size(params, vocab)
-
-        of = OutputFile(fname_out, endianess=endianess)
-
-        # meta data
-        of.add_meta_arch(params)
-        of.add_meta_vocab(vocab)
-        of.add_meta_special_vocab(svocab)
-
-        of.write_meta()
-
-        of.close()
-
-    @staticmethod
-    def do_item(item: tuple[str, LazyTensor]) -> tuple[DataType, NDArray]:
-        name, lazy_tensor = item
-        tensor = lazy_tensor.load().to_ggml()
-        return (lazy_tensor.data_type, tensor.ndarray)
-
-    @staticmethod
-    def maybe_do_quantize(item: tuple[DataType, NDArray]) -> NDArray:
-        dt, arr = item
-        if not isinstance(dt, QuantizedDataType):
-            return arr
-        return dt.quantize(arr)
-
-    @staticmethod
-    def write_all(fname_out: Path, ftype: GGMLFileType, params: Params, model: LazyModel, vocab: Vocab, svocab: gguf.SpecialVocab, concurrency: int = DEFAULT_CONCURRENCY, endianess: gguf.GGUFEndian = gguf.GGUFEndian.LITTLE) -> None:
-        check_vocab_size(params, vocab)
-
-        of = OutputFile(fname_out, endianess=endianess)
-
-        # meta data
-        of.add_meta_arch(params)
-        of.add_meta_vocab(vocab)
-        of.add_meta_special_vocab(svocab)
-
-        # tensor info
-        for name, lazy_tensor in model.items():
-            of.add_tensor_info(name, lazy_tensor)
-
-        of.write_meta()
-        of.write_tensor_info()
-
-        # tensor data
-        ndarrays_inner = bounded_parallel_map(OutputFile.do_item, model.items(), concurrency = concurrency)
-        if ftype == GGMLFileType.MostlyQ8_0:
-            ndarrays = bounded_parallel_map(OutputFile.maybe_do_quantize, ndarrays_inner, concurrency = concurrency, max_workers = concurrency, use_processpool_executor = True)
-        else:
-            ndarrays = map(OutputFile.maybe_do_quantize, ndarrays_inner)
-
-        start = time.time()
-        for i, ((name, lazy_tensor), ndarray) in enumerate(zip(model.items(), ndarrays)):
-            elapsed = time.time() - start
-            size = ' x '.join(f"{dim:6d}" for dim in lazy_tensor.shape)
-            padi = len(str(len(model)))
-            print(f"[{i+1:{padi}d}/{len(model)}] Writing tensor {name:38s} | size {size:16} | type {lazy_tensor.data_type.name:4} | T+{int(elapsed):4}")
-            of.gguf.write_tensor_data(ndarray)
-
-        of.close()
-
-
-def pick_output_type(model: LazyModel, output_type_str: str | None) -> GGMLFileType:
-    wq_type = model[gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.ATTN_Q].format(bid=0) +".weight"].data_type
-
-    if output_type_str == "f32" or (output_type_str is None and wq_type == DT_F32):
-        return GGMLFileType.AllF32
-    if output_type_str == "f16" or (output_type_str is None and wq_type in (DT_F16, DT_BF16)):
-        return GGMLFileType.MostlyF16
-    if output_type_str == "q8_0":
-        return GGMLFileType.MostlyQ8_0
-
-    name_to_type = {name: lazy_tensor.data_type for (name, lazy_tensor) in model.items()}
-
-    raise Exception(f"Unexpected combination of types: {name_to_type}")
-
-
-def convert_to_output_type(model: LazyModel, output_type: GGMLFileType) -> LazyModel:
-    return {name: tensor.astype(output_type.type_for_tensor(name, tensor))
-            for (name, tensor) in model.items()}
-
-
-def convert_model_names(model: LazyModel, params: Params) -> LazyModel:
-    tmap = gguf.TensorNameMap(ARCH, params.n_layer)
-    should_skip: set[gguf.MODEL_TENSOR] = set(gguf.MODEL_TENSOR_SKIP.get(ARCH, []))
-
-    tmp = model
-
-    # HF models permut or pack some of the tensors, so we need to undo that
-    for i in itertools.count():
-        if f"model.layers.{i}.self_attn.q_proj.weight" in model:
-            print(f"Permuting layer {i}")
-            tmp[f"model.layers.{i}.self_attn.q_proj.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.q_proj.weight"], params.n_head, params.n_head)
-            tmp[f"model.layers.{i}.self_attn.k_proj.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.k_proj.weight"], params.n_head, params.n_head_kv)
-            # tmp[f"model.layers.{i}.self_attn.v_proj.weight"] =              model[f"model.layers.{i}.self_attn.v_proj.weight"]
-        elif f"model.layers.{i}.self_attn.W_pack.weight" in model:
-            print(f"Unpacking and permuting layer {i}")
-            tmp[f"model.layers.{i}.self_attn.q_proj.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 0, params.n_head, params.n_head)
-            tmp[f"model.layers.{i}.self_attn.k_proj.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 1, params.n_head, params.n_head_kv)
-            tmp[f"model.layers.{i}.self_attn.v_proj.weight"] = part_lazy        (model[f"model.layers.{i}.self_attn.W_pack.weight"], 2)
-            del tmp[f"model.layers.{i}.self_attn.W_pack.weight"]
-        else:
-            break
-
-    out: LazyModel = {}
-    for name, lazy_tensor in model.items():
-        tensor_type, name_new = tmap.get_type_and_name(name, try_suffixes = (".weight", ".bias")) or (None, None)
-        if name_new is None:
-            raise Exception(f"Unexpected tensor name: {name}")
-
-        if tensor_type in should_skip:
-            print(f"skipping tensor {name_new}")
-            continue
-
-        print(f"{name:48s} -> {name_new:40s} | {lazy_tensor.data_type.name:6s} | {lazy_tensor.shape}")
-        out[name_new] = lazy_tensor
-
-    return out
-
-
-def nth_multifile_path(path: Path, n: int) -> Path | None:
-    '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return
-    the nth path in the model.
-    '''
-    # Support the following patterns:
-    patterns: list[tuple[str, str]] = [
-        # - x.00.pth, x.01.pth, etc.
-        (r'\.[0-9]{2}\.pth$', f'.{n:02}.pth'),
-        # - x-00001-of-00002.bin, x-00002-of-00002.bin, etc.
-        (r'-[0-9]{5}-of-(.*)$', fr'-{n:05}-of-\1'),
-        # x.bin, x.bin.1, etc.
-        (r'(\.[0-9]+)?$', r'\1' if n == 0 else fr'\1.{n}')
-    ]
-    for regex, replacement in patterns:
-        if re.search(regex, path.name):
-            new_path = path.with_name(re.sub(regex, replacement, path.name))
-            if new_path.exists():
-                return new_path
-    return None
-
-
-def find_multifile_paths(path: Path) -> list[Path]:
-    '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return
-    the whole list of paths in the model.
-    '''
-    ret: list[Path] = []
-    for i in itertools.count():
-        nth_path = nth_multifile_path(path, i)
-        if nth_path is None:
-            break
-        ret.append(nth_path)
-    if not ret:
-        # No matches.  This should only happen if the file was named, e.g.,
-        # foo.0, and there was no file named foo.  Oh well, try to process it
-        # as a single file.
-        return [path]
-    return ret
-
-
-def load_some_model(path: Path) -> ModelPlus:
-    '''Load a model of any supported format.'''
-    # Be extra-friendly and accept either a file or a directory:
-    if path.is_dir():
-        # Check if it's a set of safetensors files first
-        globs = ["model-00001-of-*.safetensors", "model.safetensors"]
-        files = [file for glob in globs for file in path.glob(glob)]
-        if not files:
-            # Try the PyTorch patterns too, with lower priority
-            globs = ["consolidated.00.pth", "pytorch_model-00001-of-*.bin", "*.pt", "pytorch_model.bin"]
-            files = [file for glob in globs for file in path.glob(glob)]
-        if not files:
-            raise Exception(f"Can't find model in directory {path}")
-        if len(files) > 1:
-            raise Exception(f"Found multiple models in {path}, not sure which to pick: {files}")
-        path = files[0]
-
-    paths = find_multifile_paths(path)
-    models_plus: list[ModelPlus] = []
-    for path in paths:
-        print(f"Loading model file {path}")
-        models_plus.append(lazy_load_file(path))
-
-    model_plus = merge_multifile_models(models_plus)
-    return model_plus
-
-
-def load_vocab(path: Path, vocabtype: str | None) -> Vocab:
-    # Be extra-friendly and accept either a file or a directory.  Also, if it's
-    # a directory, it might be the model directory, and tokenizer.model might
-    # be in the parent of that.
-    if path.is_dir():
-        vocab_file = "tokenizer.model"
-        if vocabtype == 'bpe':
-            vocab_file = "vocab.json"
-        path2 = path / vocab_file
-        # Use `.parent` instead of /.. to handle the symlink case better.
-        path3 = path.parent / vocab_file
-        if path2.exists():
-            path = path2
-        elif path3.exists():
-            path = path3
-        else:
-            raise FileNotFoundError(
-                f"Could not find {vocab_file} in {path} or its parent; "
-                "if it's in another directory, pass the directory as --vocab-dir")
-
-    print(f"Loading vocab file '{path}', type '{vocabtype}'")
-
-    added_tokens_path = path.parent / "added_tokens.json"
-    if vocabtype == "bpe":
-        return BpeVocab(path, added_tokens_path if added_tokens_path.exists() else None)
-    elif vocabtype == "spm":
-        return SentencePieceVocab(path, added_tokens_path if added_tokens_path.exists() else None)
-    else:
-        raise ValueError(f"Unsupported vocabulary type {vocabtype}")
-
-
-def default_outfile(model_paths: list[Path], file_type: GGMLFileType) -> Path:
-    namestr = {
-        GGMLFileType.AllF32:    "f32",
-        GGMLFileType.MostlyF16: "f16",
-        GGMLFileType.MostlyQ8_0:"q8_0",
-    }[file_type]
-    ret = model_paths[0].parent / f"ggml-model-{namestr}.gguf"
-    if ret in model_paths:
-        sys.stderr.write(
-            f"Error: Default output path ({ret}) would overwrite the input. "
-            "Please explicitly specify a path using --outfile.\n")
-        sys.exit(1)
-    return ret
-
-
-def do_dump_model(model_plus: ModelPlus) -> None:
-    print(f"model_plus.paths = {model_plus.paths!r}")
-    print(f"model_plus.format = {model_plus.format!r}")
-    print(f"model_plus.vocab = {model_plus.vocab!r}")
-    for name, lazy_tensor in model_plus.model.items():
-        print(f"{name}: shape={lazy_tensor.shape} type={lazy_tensor.data_type}; {lazy_tensor.description}")
-
-
-def main(args_in: list[str] | None = None) -> None:
-    output_choices = ["f32", "f16"]
-    if np.uint32(1) == np.uint32(1).newbyteorder("<"):
-        # We currently only support Q8_0 output on little endian systems.
-        output_choices.append("q8_0")
-    parser = argparse.ArgumentParser(description="Convert a LLaMa model to a GGML compatible file")
-    parser.add_argument("--dump",        action="store_true",    help="don't convert, just show what's in the model")
-    parser.add_argument("--dump-single", action="store_true",    help="don't convert, just show what's in a single model file")
-    parser.add_argument("--vocab-only",  action="store_true",    help="extract only the vocab")
-    parser.add_argument("--outtype",     choices=output_choices, help="output format - note: q8_0 may be very slow (default: f16 or f32 based on input)")
-    parser.add_argument("--vocab-dir",   type=Path,              help="directory containing tokenizer.model, if separate from model file")
-    parser.add_argument("--outfile",     type=Path,              help="path to write to; default: based on input")
-    parser.add_argument("model",         type=Path,              help="directory containing model file, or model file itself (*.pth, *.pt, *.bin, *.safetensors)")
-    parser.add_argument("--vocabtype",   choices=["spm", "bpe"], help="vocab format (default: spm)", default="spm")
-    parser.add_argument("--ctx",         type=int,               help="model training context (default: based on input)")
-    parser.add_argument("--concurrency", type=int,               help=f"concurrency used for conversion (default: {DEFAULT_CONCURRENCY})", default = DEFAULT_CONCURRENCY)
-    parser.add_argument("--bigendian",   action="store_true",    help="model is executed on big endian machine")
-
-    args = parser.parse_args(args_in)
-    if args.dump_single:
-        model_plus = lazy_load_file(args.model)
-        do_dump_model(model_plus)
-        return
-
-    if not args.vocab_only:
-        model_plus = load_some_model(args.model)
-    else:
-        model_plus = ModelPlus(model = {}, paths = [args.model / 'dummy'], format = 'none', vocab = None)
-
-    if args.dump:
-        do_dump_model(model_plus)
-        return
-    endianess = gguf.GGUFEndian.LITTLE
-    if args.bigendian:
-        endianess = gguf.GGUFEndian.BIG
-
-    params = Params.load(model_plus)
-    if params.n_ctx == -1:
-        if args.ctx is None:
-            raise Exception("The model doesn't have a context size, and you didn't specify one with --ctx\n"
-                            "Please specify one with --ctx:\n"
-                            " - LLaMA v1: --ctx 2048\n"
-                            " - LLaMA v2: --ctx 4096\n")
-        params.n_ctx = args.ctx
-
-    if args.outtype:
-        params.ftype = {
-            "f32": GGMLFileType.AllF32,
-            "f16": GGMLFileType.MostlyF16,
-            "q8_0": GGMLFileType.MostlyQ8_0,
-        }[args.outtype]
-
-    print(f"params = {params}")
-
-    vocab: Vocab
-    if args.vocab_only:
-        if not args.outfile:
-            raise ValueError("need --outfile if using --vocab-only")
-        # FIXME: Try to respect vocab_dir somehow?
-        vocab = load_vocab(args.vocab_dir or args.model, args.vocabtype)
-        special_vocab = gguf.SpecialVocab(model_plus.paths[0].parent,
-                                          load_merges = args.vocabtype == 'bpe',
-                                          n_vocab = vocab.vocab_size)
-        outfile = args.outfile
-        OutputFile.write_vocab_only(outfile, params, vocab, special_vocab)
-        print(f"Wrote {outfile}")
-        return
-
-    if model_plus.vocab is not None and args.vocab_dir is None:
-        vocab = model_plus.vocab
-    else:
-        vocab_dir = args.vocab_dir if args.vocab_dir else model_plus.paths[0].parent
-        vocab = load_vocab(vocab_dir, args.vocabtype)
-    # FIXME: Try to respect vocab_dir somehow?
-    special_vocab = gguf.SpecialVocab(model_plus.paths[0].parent,
-                                      load_merges = args.vocabtype == 'bpe',
-                                      n_vocab = vocab.vocab_size)
-
-    model   = model_plus.model
-    model   = convert_model_names(model, params)
-    ftype   = pick_output_type(model, args.outtype)
-    model   = convert_to_output_type(model, ftype)
-    outfile = args.outfile or default_outfile(model_plus.paths, ftype)
-
-    params.ftype = ftype
-    print(f"Writing {outfile}, format {ftype}")
-
-    OutputFile.write_all(outfile, ftype, params, model, vocab, special_vocab, concurrency = args.concurrency, endianess=endianess)
-    print(f"Wrote {outfile}")
-
-
-if __name__ == '__main__':
-    main()
diff --git a/huggingface_scraper/libllama/quantize b/huggingface_scraper/libllama/quantize
deleted file mode 100755
index 686601a..0000000
Binary files a/huggingface_scraper/libllama/quantize and /dev/null differ
diff --git a/huggingface_scraper/libllama/requirements.txt b/huggingface_scraper/libllama/requirements.txt
deleted file mode 100644
index e36129d..0000000
--- a/huggingface_scraper/libllama/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-gguf
-git+https://github.com/ggerganov/llama.cpp.git#subdirectory=gguf-py
-git+https://github.com/ggerganov/llama.cpp.git#subdirectory=gguf-py
diff --git a/huggingface_scraper/main.js b/huggingface_scraper/main.js
deleted file mode 100644
index 7161759..0000000
--- a/huggingface_scraper/main.js
+++ /dev/null
@@ -1,103 +0,0 @@
-import * as manifest from './manifest.js'
-import process from 'process'
-import * as generate_manifest from './generate_manifest.js'
-
-export class Scraper {
-    constructor(s3_creds, hf_creds, mysql_creds, local_model_path, ipfs_path, collection_path) {
-        this.env = process.env;
-        if (s3_creds != undefined) {
-            process.env.s3_creds = JSON.stringify(s3_creds);
-            this.s3_creds = s3_creds;
-        }
-        if (hf_creds != undefined) {
-            process.env.hf_creds = JSON.stringify(hf_creds);
-            this.hf_creds = hf_creds;
-        }
-        if (mysql_creds != undefined) {
-            process.env.mysql_creds = JSON.stringify(mysql_creds);
-            this.mysql_creds = mysql_creds;
-        }
-        if (local_model_path != undefined) {
-            process.env.local_model_path = local_model_path;
-            this.local_model_path = local_model_path;
-        }
-        if (ipfs_path != undefined) {
-            process.env.ipfs_path = ipfs_path;
-            this.ipfsPath = ipfs_path;
-        }
-        if (collection_path != undefined) {
-            process.env.collection_path = collection_path;
-            this.collection_path = collection_path;
-        }
-    }
-
-    main() {
-        let args = process.argv.slice(2);
-        let command;
-        let source;
-        let model;
-
-        if (args.length > 1) {
-            command = args[0];
-        }
-        if (args.length > 2) {
-            source = args[1];
-        }
-        if (args.length > 3) {
-            model = args[2];
-        }
-
-        if (command == "-h" || command == "--help") {
-            console.log("Usage: node main.js [command] [source] [model]");
-            console.log("command: import");
-            console.log("source: hf");
-            console.log("model: model name");
-            process.exit(0);
-        }
-
-        if (command == undefined) {
-            //console.log("No command specified try -h or --help for help");
-            let this_generate_manifest = new generate_manifest.Generate_Manifest();
-            let this_manifest = this_generate_manifest.generate_from_prompt()
-            //remove keys
-            console.log("--this_manifest--");
-            console.log(this_manifest);
-            let this_process_manifest = new manifest.Manifest(
-                this.s3_creds,
-                this.hf_creds,
-                this.mysql_creds,
-                this.local_model_path,
-                this.ipfsPath,
-                this.collection_path
-            );
-            let processed_manifest = this_process_manifest.process_prompted_manifest(this_manifest);
-        }
-        if (command == 'import' && source != "hf") {
-            throw new Error("Only hf is supported as a source");
-        }
-
-        if (command == "import" && source == "hf" && model == undefined) {
-            let this_manifest = new manifest.Manifest(
-                this.s3_creds,
-                this.hf_creds,
-                this.mysql_creds,
-                this.local_model_path,
-                this.ipfsPath,
-                this.collection_path
-            );
-            this_manifest.import_from_hf();
-        }
-
-        if (command == "import" && source == "hf" && model != undefined) {
-            let this_manifest = new manifest.Manifest(
-                this.s3_creds,
-                this.hf_creds,
-                this.mysql_creds,
-                this.local_model_path,
-                this.ipfsPath,
-                this.collection_path
-            );
-            this_manifest.import_from_hf(model);
-        }
-    }
-}
diff --git a/huggingface_scraper/manifest.js b/huggingface_scraper/manifest.js
deleted file mode 100644
index e9106cb..0000000
--- a/huggingface_scraper/manifest.js
+++ /dev/null
@@ -1,337 +0,0 @@
-import fs from 'fs'
-import path from 'path'
-import * as process_manifest from './process_manifest.js'
-import * as generate_manifest from './generate_manifest.js'
-import * as generator from './generator.js'
-import * as manifest_llama_cpp from './manifests/manifest_llama_cpp.js'
-import * as manifest_hf_transformers from './manifests/manifest_hf_transformers.js'
-import * as manifest_hf_embed from './manifests/manifest_hf_embed.js'
-import * as manifest_hf_faster_whisper from './manifests/manifest_hf_faster_whisper.js'
-import * as manifest_hf_t5 from './manifests/manifest_hf_t5.js'
-import * as manifest_hf_lm from './manifests/manifest_hf_lm.js'
-import * as manifest_knn from './manifests/manifest_knn.js'
-import * as manifest_diffusion from './manifests/manifest_diffusion.js'
-import * as manifest_api from './manifests/manifest_api.js'
-import * as manifest_dataset from './manifests/manifest_dataset.js'
-import {complete, parse_templates, generate_test} from './utils.js'
-import process from 'process'
-
-export class Manifest{
-    constructor(s3_creds, hf_creds, mysql_creds, local_model_path, ipfs_path, collection_path){
-        this.id = ""
-        this.format = ""
-        this.hwRequirements = {}
-        this.metadata = {}
-        this.env = process.env
-        if (s3_creds != undefined){
-            this.env.s3_creds = s3_creds
-            this.s3_creds = s3_creds
-        }
-        if (hf_creds != undefined){
-            this.env.hf_creds = hf_creds
-            this.hf_creds = hf_creds
-        }
-        if (mysql_creds != undefined){
-            this.env.mysql_creds = mysql_creds
-            this.mysql_creds = mysql_creds
-        }
-        if (ipfs_path != undefined){
-            this.env.ipfs_path = ipfs_path
-            this.ipfsPath = ipfs_path
-        }
-        if (local_model_path != undefined){
-            this.env.local_model_path = local_model_path
-            this.local_model_path = local_model_path
-        }
-        if (collection_path != undefined){
-            this.env.collection_path = collection_path
-            this.collection_path = collection_path
-        }
-    }
-
-    main(generated_manifest){
-        // depricated for the time being
-    }
-
-    process_prompted_manifest(generated_manifest){
-        let folder = path.join(this.local_model_path, generated_manifest["id"])
-        console.log("manifest.js")
-        console.log("process_generated_manifest(generate)")
-        console.log(generated_manifest)
-        console.log("folder")
-        console.log(folder)
-        let this_process_manifest = new process_manifest.process_manifest(
-            this.s3_creds,
-            this.hf_creds,
-            this.mysql_creds,
-            this.local_model_path,
-            this.ipfsPath,
-            this.collection_path
-        )
-        let processing = this_process_manifest.process_prompted_manifest(generated_manifest, folder)
-        return processing
-    }
-
-    create_generator(){
-        let generator = []
-        generator.push(generate)
-        return generator
-    }
-
-    manifest_from_generator(this_generator){
-        let generate = this_generator
-        if (generate.skill == "hf_transformers"){
-            return manifest_hf_transformers.hf_transformers_generate(generate)
-        }
-        if (generate.skill == "hf_embed"){
-            return manifest_hf_embed.hf_embed_generate(generate)
-        }
-        if (generate.skill == "llama_cpp"){
-            return manifest_llama_cpp.llama_cpp_generate(generate)
-        }
-        if (generate.skill == "diffusion"){
-            return manifest_diffusion.diffusion_generate(generate)
-        }
-        if (generate.skill == "knn"){
-            return manifest_knn.knn_generate(generate)
-        }
-        if (generate.skill == "hf_lm"){
-            return manifest_hf_lm.hf_lm_generate(generate)
-        }
-        if (generate.skill == "hf_t5"){
-            return manifest_hf_t5.hf_t5_generate(generate)
-        }
-        if (generate.skill == "api"){
-            return manifest_api.api_generate(generate)
-        }
-        if (generate.skill == "custom"){
-            return manifest_custom.custom_generate(generate)
-        }
-        if (generate.skill == "dataset"){
-            return manifest_dataset.dataset_generate(generate)
-        }
-    }
-
-    import_from_hf(model){
-        if (model != undefined){
-            console.log("Importing model from manifest definition .json file")
-            let this_generator = new generator.Generator(
-
-                local_model_path = this.local_model_path,
-                collection_path = this.collection_path
-            )
-            this_generator.main()
-            let llama_cpp = this_generator.llama_cpp
-            let hf_transformers = this_generator.hf_transformers
-            let hf_embed = this_generator.hf_embed
-            let hf_faster_whisper = this_generator.hf_faster_whisper
-            let hf_lm = this_generator.hf_lm
-            let hf_t5 = this_generator.hf_t5
-            let knn = this_generator.knn
-            let diffusion = this_generator.diffusion
-            let api = this_generator.api
-            let dataset = this_generator.dataset
-
-            let all_models = {}
-            llama_cpp.forEach(model => all_models[model.modelName] = model)
-            hf_transformers.forEach(model => all_models[model.modelName] = model)
-            hf_embed.forEach(model => all_models[model.modelName] = model)
-            hf_faster_whisper.forEach(model => all_models[model.modelName] = model)
-            hf_lm.forEach(model => all_models[model.modelName] = model)
-            hf_t5.forEach(model => all_models[model.modelName] = model)
-            knn.forEach(model => all_models[model.modelName] = model)
-            diffusion.forEach(model => all_models[model.modelName] = model)
-            api.forEach(model => all_models[model.modelName] = model)
-            dataset.forEach(model => all_models[model.modelName] = model)
-
-            if (model in all_models){
-                let this_generate = all_models[model]
-                let this_manifest = new manifest_from_generator(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-            else{
-                let this_generate
-                for (this_model in all_models){
-                    this_model_source = this_model.source
-                    if (model in this_model_source){
-                        this_generate = all_models[this_model]
-                        let this_manifest = new manifest_from_generator(this_generate)
-                        let this_process = new process_manifest.process_manifest(
-                            s3_creds = this.s3_creds,
-                            hf_creds = this.hf_creds,
-                            mysql_creds = this.mysql_creds,
-                            local_model_path = this.local_model_path,
-                            collection_path = this.collection_path
-                        )
-                        this_process.main(this_generate, this_manifest)
-                    }
-                }
-                if (this_generate == undefined){
-                    console.log("Model not found")
-                    let this_generate_manifest = new generate_manifest.Generate_Manifest();
-                    let this_manifest = this_generate_manifest.main();
-                    let this_process_manifest = new manifest.Manifest(
-                        s3_creds = this.s3_creds,
-                        hf_creds = this.hf_creds,
-                        mysql_creds = this.mysql_creds,
-                        local_model_path = this.local_model_path,
-                        collection_path = this.collection_path
-                    );
-                    this_process_manifest.main();
-                }
-            }
-        }
-        if (model == undefined){
-            console.log("Importing / rebuilding all models from manifest definition .json files")
-            console.log("This might take a while")
-            for (var generate in dataset){
-                let this_generate = dataset[generate]
-                let this_manifest = new manifest_dataset.Manifest_dataset()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in llama_cpp){
-                let this_generate = llama_cpp[generate]
-                let this_manifest =  new manifest_llama_cpp.Manifest_llama_cpp()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }        
-
-            for (var generate in hf_embed){
-                let this_generate = hf_embed[generate]
-                let this_manifest = new manifest_hf_embed.Manifest_hf_embed()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in hf_faster_whisper){
-                let this_generate = hf_faster_whisper[generate]
-                let this_manifest = new manifest_hf_faster_whisper.Manifest_hf_faster_whisper()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in hf_transformers){
-                let this_generate = hf_transformers[generate]
-                let this_manifest = new manifest_hf_transformers.Manifest_hf_transformers()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in hf_lm){
-                let this_generate = hf_lm[generate]
-                let this_manifest = new manifest_hf_lm.Manifest_hf_lm()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in hf_t5){
-                let this_generate = hf_t5[generate]
-                let this_manifest = new manifest_hf_t5.Manifest_hf_t5()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in knn){
-                let this_generate = knn[generate]
-                let this_manifest = new manifest_knn.Manifest_knn()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in diffusion){
-                let this_generate = diffusion[generate]
-                let this_manifest = new manifest_diffusion.Manifest_diffusion()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-
-            for (var generate in api){
-                let this_generate = api[generate]
-                let this_manifest = new manifest_api.Manifest_api()
-                this_manifest.main(this_generate)
-                let this_process = new process_manifest.process_manifest(
-                    s3_creds = this.s3_creds,
-                    hf_creds = this.hf_creds,
-                    mysql_creds = this.mysql_creds,
-                    local_model_path = this.local_model_path,
-                    collection_path = this.collection_path
-                )
-                this_process.main(this_generate, this_manifest)
-            }
-        }
-    }
-}
-
-
diff --git a/huggingface_scraper/manifests/manifest_api.js b/huggingface_scraper/manifests/manifest_api.js
deleted file mode 100644
index 62c39a9..0000000
--- a/huggingface_scraper/manifests/manifest_api.js
+++ /dev/null
@@ -1,90 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_api from '../modeldata/generate_api.json' assert { type: 'json' };
-
-export class Manifest_api{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = api_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return api_calc_calc()
-    }
-}
-
-export default function api_calc(){
-    let providers = ["openai","huggingface","custom"]
-
-    let provider = multiple_choice_question("Select a provider: ", providers)
-
-    let api_key = open_ended_question("Enter an API key: ")
-
-    let secret_key = open_ended_question("Enter a secret key: ")
-
-    let results = api_generate(generate)
-
-    return results
-
-}
-
-export function api_generate_hwrequirements(){
-    let results = generate_hwrequirements_template(generate)
-    results.gpuCount = 0
-    results.cpu_count = [1]
-    results.memory = 2048
-    results.disk_space = 1024
-    return results
-}
-
-export function api_generate_metadata(){
-    let results = generate_metadata_template(generate)
-    if (generate.provider == 'openai'){
-        results['openai_api_key'] = generate.api_key
-        results['openai_secret_key'] = generate.secret_key
-        results.templates = [
-            "assistant","chat","embed","edit","complete"
-        ]
-    }
-    if (generate.provider == 'huggingface'){
-        results['huggingface_api_key'] = generate.api_key
-        results['huggingface_secret_key'] = generate.secret_key
-    }
-
-    return results
-}
-
-export function api_generate(generate){
-    let results = generate_template(generate)
-    results.metadata = api_generate_metadata(generate)
-    results.hwRequirements = api_generate_hwrequirements(generate)
-    results.id = "api-" + generate.provider
-    results.skill = "api"
-    return results
-}
-
-export function api_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_api[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_api.json'), JSON.stringify(models_generate_api, null, 2))       
-        return Object.keys(models_generate_api)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_dataset.js b/huggingface_scraper/manifests/manifest_dataset.js
deleted file mode 100644
index 3f4d184..0000000
--- a/huggingface_scraper/manifests/manifest_dataset.js
+++ /dev/null
@@ -1,111 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_dataset from '../modeldata/generate_diffusion.json' assert { type: 'json' };
-
-export class Manifest_dataset{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = dataset_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return dataset_calc()
-    }
-}
-
-export default function dataset_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("Enter a source from " + location + ": ")
-
-    let formats = [ "parquet", "text", "json", "csv", "tsv"]
-
-    let format = multiple_choice_question("Select a format: ", formats)
-   
-    let samples = open_ended_question("Enter the number of samples: ")
-
-    let size = open_ended_question("Enter the size of the dataset in MB: ")
-    
-    let generate = {}
-    generate.modelName = modelName
-    generate.location = location
-    generate.source = source
-    generate.format = format
-    generate.samples = samples
-    generate.size = size
-
-    let results = dataset_generate(generate)
-
-    return results
-}
-
-export function dataset_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    results.cpuCount = [1]
-    results.gpuCount = [0]
-    let padding = 1.1
-    results.gpuMemory = 0
-    results.diskUsage = results.size * 1024 * 1024 * padding
-    results.cpuMemory = results.size * 1024 * 1024 * padding
-    return results
-}
-
-
-export function dataset_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.format = generate.format
-    results.location = generate.location
-    results.modelName = generate.modelName
-    results.model_type = 'dataset'
-    results.units = "MB"
-    results.samples = generate.samples
-    results.size = generate.size
-    return results
-}
-
-
-export function dataset_generate(generate){
-    let results = generate_template(generate)
-    results.id = generate.modelName;
-    results.hwRequirements = dataset_generate_hwrequirements(generate)
-    results.metadata = dataset_generate_metadata(generate)
-    results.skill = "dataset"
-    return results
-}
-
-export function dataset_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_dataset[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_dataset.json'), JSON.stringify(models_generate_dataset, null, 2))       
-        return Object.keys(models_generate_dataset)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_diffusion.js b/huggingface_scraper/manifests/manifest_diffusion.js
deleted file mode 100644
index 7aadb45..0000000
--- a/huggingface_scraper/manifests/manifest_diffusion.js
+++ /dev/null
@@ -1,293 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_diffusion from '../modeldata/generate_diffusion.json' assert { type: 'json' };
-
-export class Manifest_diffusion{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = diffusion_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return diffusion_calc()
-    }
-}
-
-export default function diffusion_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("Enter a source from " + location + ": ")
-
-    let formats = ["ckpt", "safetensors"]
-
-    let format = multiple_choice_question("Select a format: ", formats)
-    
-    let quantizations = ["fp32", "fp16" ]
-
-    let quantization = multiple_choice_question("what is the model quantization?", quantizations)
-
-    let resolutions = [512, 1024, 2048, 4096]
-
-    let resolution = prompt("Select a context size: ", resolutions)
-
-    let controlnet_types = ["inpainting", "instructPix2Pix", "canny2img", "hed2img", "depth2img", "normal2img","pose2img","scribble2img","seg2img"]
-
-    let controlnet = multiple_choice_question("Select a controlnet type: ", controlnet_types)
-
-    if (controlnet != ''){
-        console.log("controlnet is: " + controlnet)
-
-        let dependency_options = ["yes", "no"]
-
-        let dependency = open_ended_question('Are the depenencies bundled with the model? ', dependency_options)
-
-        if (dependency == 'no'){
-
-            console.log("dependencies are not bundled")
-
-            let dependency_location = multiple_choice_question("What is the dependency source?", locations)
-                        
-            let dependency_source = open_ended_question("What is the dependency source?: ")
-
-        }
-    
-    }
-
-    let versions = ["v1.5", "v1.6","v2.0","v2.1"]
-
-    let version = multiple_choice_question("Select a version: ", versions)
-
-    let default_steps = open_ended_question("Enter a default number of steps: ")
-
-    let default_noise = open_ended_question("Enter a default denoising strength: ")
-
-    let default_cfgscale = open_ended_question("What is the default cfgscale?")
-
-    let batch_size_options = [1,2,4]
-
-    let batch_size = multiple_choice_question("Enter a batch size: ", batch_size_options)
-    
-    let generate = {}
-    generate.modelName = modelName
-    generate.location = location
-    generate.source = source
-    generate.format = format
-    generate.quantization = quantization
-    generate.resolution = resolution
-    generate.controlnet = controlnet
-    generate.version = version
-    generate.default_steps = default_steps
-    generate.default_noise = default_noise
-    generate.default_cfgscale = default_cfgscale
-    generate.batch_size = batch_size
-
-    let results = diffusion_generate(generate)
-
-    return results
-}
-
-export function diffusion_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    results.cpu_count = [2,4]
-    results.gpuCount = [1]
-    let padding = 1.1
-    if(generate.version == 'v1.5'){
-        results.parameters = 1.5e9
-        results.flopsPerUnit = 0
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-        results.megapixel_steps_per_second = 0
-    }
-    if(generate.version == 'v1.6'){
-        results.parameters = 1.5e9
-        results.flopsPerUnit = 0
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-        results.steps_per_second = 0
-    }
-    if(generate.version == 'v2.0'){
-        results.parameters = 1.5e9
-        results.flopsPerUnit = 0
-        results.minFlops = {
-            "fp8": 0,
-            "fp16": 20,
-            "fp32": 0,
-        }
-        results.megapixel_steps_per_second = 0
-    }
-    if(generate.version == 'v2.1'){
-        results.parameters = 1.5e9
-        results.flopsPerUnit = 0
-        results.minFlops = {
-            "fp8": 0,
-            "fp16": 20,
-            "fp32": 0,
-        }
-        results.megapixel_steps_per_second = 0
-    }
-
-    if (generate.quantization == 'fp16'){
-        results.gpuMemory = results.parameters * 2 * padding
-        results.disk_usage = results.parameters * 2 * padding
-        results.cpu_memory = results.parameters * 2 * padding
-    }
-    if (generate.quantization == 'fp32'){
-        results.gpuMemory = results.parameters * 4 * padding
-        results.disk_usage = results.parameters * 4 * padding
-        results.cpu_memory = results.parameters * 4 * padding
-    }
-
-    if (generate.controlnet != 'none'){
-        if (generate.controlnet == 'inpainting'){
-
-        }
-        if (generate.controlnet == 'hed2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-        if (generate.controlnet == 'depth2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-        if (generate.controlnet == 'normal2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-        if (generate.controlnet == 'pose2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-        if (generate.controlnet == 'scribble2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-        if (generate.controlnet == 'seg2img'){
-            results.disk_usage = results.disk_usage + 1e9
-            results.cpu_memory = results.cpu_memory + 1e9
-            results.gpuMemory = results.gpuMemory + 1e9
-        }
-    }
-
-    return results
-}
-
-
-export function diffusion_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.default_cfgscale = generate.default_cfgscale
-    results.default_noise = generate.default_noise
-    results.default_steps = generate.default_steps
-    results.controlnet = generate.controlnet
-    results.resolution = generate.resolution
-    results.format = generate.format
-    results.location = generate.location
-    results.modelName = generate.modelName
-    results.model_type = 'diffusion'
-    results.quantization = generate.quantization
-    results.version = generate.version
-    let controlnet_types = ["canny2img", "hed2img", "depth2img", "normal2img","pose2img","scribble2img","seg2img"]
-    let special_types = ["inpainting", "instruct"]
-    if (generate.controlnet != 'none'){
-        results.id = generate.modelName + '-' + (parseInt(generate.parameters) / 1000000000).toString() + 'b-' + generate.quantization + '-' + generate.controlnet
-    }
-    if(generate.version == 'v1.5'){
-        if (generate.controlnet != 'none'){
-            generate.templates = ['sd1_canny2img', 'sd1_hed2img', 'sd1_depth2img', 'sd1_normal2img','sd1_pose2img','sd1_scribble2img','sd1_seg2img']
-        }
-        else{
-            generate.templates = ['sd1_txt2img', 'sd1_img2img', 'sd1_img2txt']
-        }
-    }
-    if(generate.version == 'v1.6'){
-        if (generate.controlnet != 'none'){
-            generate.templates = ['sd1_canny2img', 'sd1_hed2img', 'sd1_depth2img', 'sd1_normal2img','sd1_pose2img','sd1_scribble2img','sd1_seg2img']
-        }
-        else{
-            generate.templates = ['sd1_txt2img', 'sd1_img2img', 'sd1_img2txt']
-        }
-    }
-    if(generate.version == 'v2.0'){
-        if (generate.controlnet != 'none'){
-            generate.templates = ['sd2_canny2img', 'sd2_hed2img', 'sd2_depth2img', 'sd2_normal2img','sd2_pose2img','sd2_scribble2img','sd2_seg2img']
-        }
-        else{
-            generate.templates = ['sd2_txt2img', 'sd2_img2img', 'sd2_img2txt']
-        }
-    }
-    if(generate.version == 'v2.1'){
-        if (generate.controlnet != 'none'){
-            generate.templates = ['sd2_canny2img', 'sd2_hed2img', 'sd2_depth2img', 'sd2_normal2img','sd2_pose2img','sd2_scribble2img','sd2_seg2img']
-        }
-        else{
-            generate.templates = ['sd2_txt2img', 'sd2_img2img', 'sd2_img2txt']
-        }
-    }
-    if(generate.version == 'sdxl'){
-        if (generate.controlnet != 'none'){
-            generate.templates = ['sdxl_canny2img', 'sdxl_hed2img', 'sdxl_depth2img', 'sdxl_normal2img','sdxl_pose2img','sdxl_scribble2img','sdxl_seg2img']
-        }
-        else{
-            generate.templates = ['sdxl_txt2img', 'sdxl_img2img', 'sdxl_img2txt']
-        }
-    }
-    results.units = "megapixel_steps"
-    return results
-}
-
-
-export function diffusion_generate(generate){
-    let results = generate_template(generate)
-    results.id = generate.modelName + '-' + (parseInt(generate.parameters) / 1000000000).toString() + 'b-' + generate.quantization
-    results.hwRequirements = diffusion_generate_hwrequirements(generate)
-    results.metadata = diffusion_generate_metadata(generate)
-    results.skill = "diffusion"
-    return results
-}
-
-export function diffusion_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_diffusion[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_diffusion.json'), JSON.stringify(models_generate_diffusion, null, 2))       
-        return Object.keys(models_generate_diffusion)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_hf_embed.js b/huggingface_scraper/manifests/manifest_hf_embed.js
deleted file mode 100644
index 8289fdd..0000000
--- a/huggingface_scraper/manifests/manifest_hf_embed.js
+++ /dev/null
@@ -1,223 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_hf_embed from '../modeldata/generate_hf_embed.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_hf_embed{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-    }
-
-    main(generate){
-        let generation = hf_embed_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return hf_embed_calc()
-    }
-}
-
-
-
-
-export default function hf_embed_calc(){
-    
-    let model_name = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let formats = ["fp16", "fp32"]
-
-    let format = multiple_choice_question("Select a format: ", formats)
-
-    console.log("format is: " + format)
-
-    let quantization
-    if (format == 'fp16'){
-        quantization = 'fp16'
-    }
-
-    if (format == 'fp32'){
-        quantization = 'fp32'
-    }
-
-    let parameters = open_ended_question("Enter the number of parameters: ")
-    
-    let contextSize_options = [384,512,1024,2048,4096,8192]
-
-    let contextSize = multiple_choice_question("Enter a the context size length: ", contextSize_options)
-
-    let dimensions_options = [128,256,512,1024,2048,4096]
-    
-    let dimensions = multiple_choice_question("how many dimensions are there?", dimensions_options)
-
-    let model_size_options = []
-
-    let embedding_template_options = ['embed', "instruct-embed"]
-
-    let embedding_template = multiple_choice_question("Select default prompt template: ", embedding_template_options)
-
-    let content_type_options = ['text', 'image', 'audio', 'video']
-
-    let content_type = multiple_choice_question("Enter the content type: ", content_type_options)
-
-    let generate = {}
-    generate.parameters = parameters
-    generate.contextSize = contextSize
-    generate.quantization = quantization
-    generate.dimensions = dimensions
-    generate.embedding_template = embedding_template
-    generate.content_type = content_type
-    generate.format = format
-    generate.location = location
-    generate.source = source
-    generate.modelName = model_name
-    let results = hf_embed_generate(generate)
-    return results
-}
-
-export function hf_embed_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.metadata.parameters = generate.parameters
-    results.metadata.dimensions = generate.dimensions
-    results.metadata.contentType = generate.content_type
-    results.metadata.contextSize = generate.contextSize
-    results.metadata.embeddingTemplate = generate.embedding_template
-    results.metadata.dimensions = generate.dimensions
-    results.metadata.quantization = generate.quantization
-    results.metadata.modelName = generate.modelName
-    results.metadata.skill = "hf_embed"
-    results.units = "vectors"
-    return results
-}
-
-export function hf_embed_generate_hwrequirements(generate){
-    console.log("generate")
-    console.log(generate)
-    let results = generate_hwrequirements_template(generate)
-    let flopsPerUnit
-    let tokensPerSecond
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let total_size 
-    let model_padding = 1.1
-
-    if (generate.parameters > 13 * 1000000000){
-        throw "Model is too large"
-    }
-    
-    if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-        flopsPerUnit = 35.58 / 85
-        tokensPerSecond = 85
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }				
-    }
-
-    if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    
-    if(generate.parameters <= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-    results.samples_per_second = 0
-    results.gpuCount = gpuCount
-    results.cpuCount = cpuCount
-    results.flopsPerUnit = flopsPerUnit
-    if (Object.keys(minFlops).length != 0){
-        results.minFlops = minFlops
-    } 
-    else{
-        throw "minFlops is not defined"
-    }
-    if (generate.format == "fp16"){
-        results.minSpeed = results.minFlops["fp16"] / 35.58
-    }
-    else{
-        results.minSpeed = results.minFlops["fp32"] / 35.58
-    }
-    results["cpuMemory"] = generate.parameters * 2 * model_padding
-    results["gpuMemory"] = generate.parameters * 2 * model_padding
-    results["diskUsage"] = results["gpuMemory"] * model_padding
-    return results
-}
-
-export function hf_embed_generate(generate){
-    let results = generate_template(generate)
-    results.hwRequirements  = hf_embed_generate_hwrequirements(generate)
-    results.metadata = hf_embed_generate_metadata(generate)
-    results.id = generate.modelName 
-    results.skill = "hf_embed"
-    return results
-}
-
-export function hf_embed_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_hf_embed[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_hf_embed.json'), JSON.stringify(models_generate_hf_embed, null, 2))       
-        return Object.keys(models_generate_hf_embed)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_hf_faster_whisper.js b/huggingface_scraper/manifests/manifest_hf_faster_whisper.js
deleted file mode 100644
index da378ed..0000000
--- a/huggingface_scraper/manifests/manifest_hf_faster_whisper.js
+++ /dev/null
@@ -1,197 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_hf_faster_whisper from '../modeldata/generate_hf_faster_whisper.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_hf_faster_whisper{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-    }
-
-    main(generate){
-        let generation = hf_faster_whisper_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return hf_faster_whisper_calc()
-    }
-}
-
-
-export default function hf_faster_whisper_calc(){
-    
-    let model_name = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let formats = ["fp16", "fp32"]
-
-    let format = multiple_choice_question("Select a format: ", formats)
-
-    console.log("format is: " + format)
-
-    let quantization
-    if (format == 'fp16'){
-        quantization = 'fp16'
-    }
-
-    if (format == 'fp32'){
-        quantization = 'fp32'
-    }
-
-    let parameters = open_ended_question("Enter the number of parameters: ")
-    
-    let contextSize_options = [384,512,1024,2048,4096,8192]
-
-    let contextSize = multiple_choice_question("Enter a the context size length: ")
-
-    let dimensions_options = [128,256,512,1024,2048]
-    
-    let embedding_length = multiple_choice_question("how many billions of parameters are there?")
-
-    let model_size_options = []
-
-    let model_size = open_ended_question("What is the model size in GB? ")
-
-    let prompt_templates = ['embed']
-
-    let default_template = multiple_choice_question("Select default prompt template: ", prompt_templates)
-
-    let generate = {}
-    generate.parameters = parameters
-    generate.contextSize = contextSize
-    generate.quantization = quantization
-    generate.format = format
-    generate.location = location
-    generate.source = source
-    generate.modelName = modelName
-    generate.templates = [default_template]
-    let results = hf_faster_whisper_generate(generate)
-    return results
-}
-
-export function hf_faster_whisper_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.metadata.parameters = generate.parameters
-    results.metadata.dimensions = generate.dimensions
-    results.metadata.contentType = generate.contentType
-    results.metadata.contextSize = generate.contextSize
-    results.units = "vectors"
-    return results
-}
-
-export function hf_faster_whisper_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    let flopsPerUnit
-    let tokensPerSecond
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let total_size 
-    let model_padding = 1.1
-
-    if (generate.parameters > 13 * 1000000000){
-        throw "Model is too large"
-    }
-    if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-        flopsPerUnit = 35.58 / 85
-        tokensPerSecond = 85
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }				
-    }
-    if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-    results.samples_per_second = 0
-    results.gpuCount = gpuCount
-    results.cpuCount = cpuCount
-    results.flopsPerUnit = flopsPerUnit
-    results.minFlops = minFlops
-    results.minSpeed = results.minFlops.fp16 / 35.58 
-    results["cpuMemory"] = generate.parameters * 2 * model_padding
-    results["gpuMemory"] = generate.parameters * 2 * model_padding
-    results["diskUsage"] = results["gpuMemory"] * model_padding
-    return results
-}
-
-export function hf_faster_whisper_generate(generate){
-    let results = generate_template(generate)
-    results.hwRequirements  = hf_faster_whisper_generate_hwrequirements(generate)
-    results.metadata = hf_faster_whisper_generate_metadata(generate)
-    results.id = generate.modelName 
-    results.skill = "hf_faster_whisper"
-    return results
-}
-
-export function hf_faster_whisper_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_hf_faster_whisper[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_hf_faster_whisper.json'), JSON.stringify(models_generate_hf_faster_whisper, null, 2))       
-        return Object.keys(models_generate_hf_faster_whisper)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_hf_lm.js b/huggingface_scraper/manifests/manifest_hf_lm.js
deleted file mode 100644
index 71b6514..0000000
--- a/huggingface_scraper/manifests/manifest_hf_lm.js
+++ /dev/null
@@ -1,270 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_hf_lm from '../modeldata/generate_hf_lm.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_hf_lm{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = hf_lm_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return hf_lm_calc()
-    }
-}
-
-export default function hf_lm_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let parameters_options = [3.5,7,13,30,33,40,65,70,180]
-
-    let parameters = multiple_choice_question("how many billions of parameters are there?", parameters_options)
-
-    parameters = parseInt(parameters) * 1000000000
-
-    let contextSizes = [2048, 4096, 8192, 16384]
-    
-    let contextSize = multiple_choice_question("what is the length of the context size?", contextSizes)
-
-    let ropeScale = 0
-    if (contextSize => 2048){
-        let ropeScales = ['1x', '2x', '4x', '8x']
-
-        ropeScale = multiple_choice_question("what is the rope scale?", ropeScales)
-    }
-
-    let prompt_templates = ['llama-2', 'vicuna', 'alpaca', 'chatlm', "mistral-lite"]
-    let chat_templates = ["llama-2", "vicuna", "alpaca", "chatlm", "mistral-lite"]
-    
-    let default_template = multiple_choice_question("Select default prompt template: ", prompt_templates)
-    
-    let tmp_templates = prompt_templates
-    let templates = []
-    templates.push(default_template)
-    tmp_templates.splice(tmp_templates.indexOf(default_template), 1)
-
-    let additional_templates = multiple_select_question("Select additional prompt templates: ", tmp_templates)
-    for (var this_template in additional_templates){
-        templates.push(this_template)
-    }
-    
-    console.log("chosen templates")
-    console.log(templates)
-
-    let generate = {}
-    generate.parameters = parameters
-    generate.contextSize = contextSize
-    generate.ropeScale = ropeScale
-    generate.quantization = quantization
-    generate.format = format
-    generate.location = location
-    generate.source = source
-    generate.templates = templates
-    generate.modelName = modelName
-    generate.templates = templates
-
-    let results = hf_t5_generate(generate)
-    return results
-}
-
-export function hf_lm_generate(generate){
-    let results = generate_template(generate)
-    results.hwRequirements = hf_lm_generate_hwrequirements(generate)
-    results.metadata = hf_lm_generate_metadata(generate)
-    results.skill = "hf_lm"
-    results.id = generate.modelName 
-    return results
-}
-
-export function hf_lm_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-
-    return results
-}
-
-export function hf_lm_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    let flopsPerUnit
-    let tokensPerSecond
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let total_size 
-    let model_padding = 1.1
-
-    if (generate.parameters >= 180 * 1000000000){
-        throw "Model is too large"
-    }
-    if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [2,4]
-        cpuCount = [2,4]
-        minFlops =  {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 50,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-        flopsPerUnit = 35.58 / 29
-        tokensPerSecond = 29
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 35,
-            "fp32": 0,
-        }		
-    }
-    if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-        flopsPerUnit = 35.58 / 60
-        tokensPerSecond = 60
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 20,
-            "fp32": 0,
-        }			
-    }
-    if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-        flopsPerUnit = 35.58 / 85
-        tokensPerSecond = 85
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }				
-    }
-    if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-    results.samples_per_second = 0
-    results.gpuCount = gpuCount
-    results.cpuCount = cpuCount
-    results.flopsPerUnit = flopsPerUnit
-    results.minFlops = minFlops
-    results.minSpeed = results.minFlops.fp16 / 35.58 
-    results["cpuMemory"] = generate.parameters * 2 * model_padding
-    results["gpuMemory"] = generate.parameters * 2 * model_padding
-    results["diskUsage"] = results["gpuMemory"] * model_padding
-    return results
-}
-
-export function hf_lm_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_hf_lm[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_hf_lm.json'), JSON.stringify(models_generate_hf_lm, null, 2))       
-        return Object.keys(models_generate_hf_lm)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_hf_t5.js b/huggingface_scraper/manifests/manifest_hf_t5.js
deleted file mode 100644
index 4f21ce1..0000000
--- a/huggingface_scraper/manifests/manifest_hf_t5.js
+++ /dev/null
@@ -1,243 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_hf_t5 from '../modeldata/generate_hf_t5.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_hf_t5{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = hf_t5_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return hf_t5_calc()
-    }
-}
-
-
-export default function hf_t5_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let parameters_options = ["60", "220", "770", "3000", "11000"]
-
-    let parameters = multiple_choice_question("how many millions of parameters are there?", parameters_options)
-
-    parameters = parseInt(parameters) * 1000000
-
-    let contextSizes = [256, 512, 768, 1024]
-    
-    let contextSize = multiple_choice_question("what is the length of the context size?", contextSizes)
-
-    let generate = {}
-    generate.modelName = modelName
-    generate.location = location
-    generate.source = source
-    generate.parameters = parameters
-    generate.contextSize = contextSize
-
-    let results = hf_t5_generate(generate)
-    return results
-}
-
-export function hf_t5_generate(generate){
-    let results = generate_template(generate)
-    results.hwRequirements = hf_t5_generate_hwrequirements(generate)
-    results.metadata = hf_t5_generate_metadata(generate)
-    results.skill = "hf_t5"
-    results.id = generate.modelName 
-    return results
-}
-
-export function hf_t5_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.metadata.contextSize = generate.contextSize
-    results.metadata.parameters = generate.parameters
-    return results
-}
-
-export function hf_t5_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    let flopsPerUnit
-    let tokensPerSecond
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let total_size 
-    let model_padding = 1.1
-
-    if (generate.parameters >= 180 * 1000000000){
-        throw "Model is too large"
-    }
-    if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [2,4]
-        cpuCount = [2,4]
-        minFlops =  {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 50,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-        flopsPerUnit = 35.58 / 29
-        tokensPerSecond = 29
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 35,
-            "fp32": 0,
-        }		
-    }
-    if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-        flopsPerUnit = 35.58 / 60
-        tokensPerSecond = 60
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 20,
-            "fp32": 0,
-        }			
-    }
-    if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-        flopsPerUnit = 35.58 / 85
-        tokensPerSecond = 85
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }				
-    }
-    if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-    results.samples_per_second = 0
-    results.gpuCount = gpuCount
-    results.cpuCount = cpuCount
-    results.flopsPerUnit = flopsPerUnit
-    results.minFlops = minFlops
-    results.minSpeed = results.minFlops.fp16 / 35.58 
-    results["cpuMemory"] = generate.parameters * 2 * model_padding
-    results["gpuMemory"] = generate.parameters * 2 * model_padding
-    results["diskUsage"] = results["gpuMemory"] * model_padding
-
-    return results
-}
-
-export function hf_t5_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_hf_t5[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_hf_transformers.json'), JSON.stringify(models_generate_hf_t5, null, 2))       
-        return Object.keys(models_generate_hf_t5)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_hf_transformers.js b/huggingface_scraper/manifests/manifest_hf_transformers.js
deleted file mode 100644
index 4c11f9f..0000000
--- a/huggingface_scraper/manifests/manifest_hf_transformers.js
+++ /dev/null
@@ -1,230 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_hf_transformers from '../modeldata/generate_hf_transformers.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_hf_transformers{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-        this.skill = ""
-    }
-
-    main(generate){
-        let generation = hf_transformers_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return hf_transformers_calc()
-    }
-}
-
-
-export default function hf_transformers_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let generate = {}
-    generate.modelName = modelName
-    generate.location = location
-    generate.source = source
-
-    let results = hf_transformers_generate(generate)
-    return results
-}
-
-export function hf_transformers_generate(generate){
-    let results = generate_template(generate)
-    results.hwRequirements = hf_transformers_generate_hwrequirements(generate)
-    results.metadata = hf_transformers_generate_metadata(generate)
-    results.skill = "hf_transformers"
-    results.id = generate.modelName 
-    return results
-}
-
-export function hf_transformers_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-
-    return results
-}
-
-export function hf_transformers_generate_hwrequirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    let flopsPerUnit
-    let tokensPerSecond
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let total_size 
-    let model_padding = 1.1
-
-    if (generate.parameters >= 180 * 1000000000){
-        throw "Model is too large"
-    }
-    if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [2,4]
-        cpuCount = [2,4]
-        minFlops =  {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-        flopsPerUnit = 35.58 / 12
-        tokensPerSecond = 12
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 75,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-        flopsPerUnit = 35.58 / 15
-        tokensPerSecond = 15
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops =	 {
-            "fp8": 0,
-            "fp16": 50,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-        flopsPerUnit = 35.58 / 29
-        tokensPerSecond = 29
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 35,
-            "fp32": 0,
-        }		
-    }
-    if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-        flopsPerUnit = 35.58 / 60
-        tokensPerSecond = 60
-        gpuCount = [1,2]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 20,
-            "fp32": 0,
-        }			
-    }
-    if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-        flopsPerUnit = 35.58 / 85
-        tokensPerSecond = 85
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }				
-    }
-    if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-    if(generate.parameters <= 1 * 1000000000){
-        flopsPerUnit = 35.58 / 100
-        tokensPerSecond = 100
-        gpuCount = [1]
-        cpuCount = [2,4]
-        minFlops = {
-            "fp8": 0,
-            "fp16": 10,
-            "fp32": 0,
-        }
-    }
-
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-    results.samples_per_second = 0
-    results.gpuCount = gpuCount
-    results.cpuCount = cpuCount
-    results.flopsPerUnit = flopsPerUnit
-    results.minFlops = minFlops
-    results.minSpeed = results.minFlops.fp16 / 35.58 
-    results["cpuMemory"] = generate.parameters * 2 * model_padding
-    results["gpuMemory"] = generate.parameters * 2 * model_padding
-    results["diskUsage"] = results["gpuMemory"] * model_padding
-
-    return results
-}
-
-export function hf_transformers_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_hf_transformers[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_hf_transformers.json'), JSON.stringify(models_generate_hf_transformers, null, 2))       
-        return Object.keys(models_generate_hf_transformers)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_knn.js b/huggingface_scraper/manifests/manifest_knn.js
deleted file mode 100644
index ceba1e6..0000000
--- a/huggingface_scraper/manifests/manifest_knn.js
+++ /dev/null
@@ -1,209 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_generate_knn from '../modeldata/generate_knn.json' assert { type: 'json' };
-
-export class Manifest_knn{
-
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-    }
-
-    main(generate){
-        let generation = knn_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return knn_calc()
-    }
-}
-
-export default function knn_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("enter a source from " + location + ": ")
-
-    let content_types = ['text', 'image', 'audio', 'video']
-
-    let content_type = multiple_choice_question("Select a content type: ", content_types)
-
-    let input_types = ['text', 'image', 'audio', 'video']
-
-    let input_type = multiple_choice_question("Select an input type: ", input_types)
-
-    let text_embedding_models = [
-        "text-embedding-ada-002",
-        "gte-large",
-        "gte-base",
-        "bge-base-en-v1.5",
-        "bge-large-en-v1.5",
-        "instructor",
-        "instructor-large",
-        "instructor-xl"
-    ]
-
-    let image_embedding_models = [
-        "clip-vit-base",
-        "clip-vit-large",
-        "openclip-vit-base",    
-        "visualbert",
-        "visualbert-vqa-coco-pre",
-        "blip2",
-        "instructblip",
-        "CLIP-ViT-L-14-laion2B-s32B-b82K",
-        "CLIP-ViT-bigG-14-laion2B-39B-b160k",
-        "CLIP-ViT-H-14-laion2B-s32B-b79K",
-        "CLIP-ViT-L-14-DataComp.XL-s13B-b90K"
-    ]
-
-    let audio_embedding_models = [
-        "clap-htsat-fused",
-        "larger_clap_music",
-        "larger_clap_music_and_speech",
-        "clap-htsat-fused",
-        "larger_clap_general"
-    ]
-    let text_embedding_model
-    let image_embedding_model
-    let audio_embedding_model
-    let video_embedding_model
-
-    if (content_type == 'text'){
-        let primary_text_model = "text-embedding-ada-002"
-        text_embedding_model = multiple_choice_question("Select a text embedding model: ", text_embedding_models)
-    }
-
-    if (content_type == 'audio'){
-        audio_embedding_model = multiple_choice_question("Select an audio embedding model: ", audio_embedding_models)
-    }
-
-    if (content_type == 'image'){
-        image_embedding_model = multiple_choice_question("Select an image embedding model: ", image_embedding_models)
-    }
-
-    if (content_type == 'video'){
-        throw "video not implemented"
-    }
-
-    console.log("how many samples are there?")
-
-    let samples = open_ended_question("Enter a number: ")
-
-    console.log("how many dimensions are there?")
-
-    let dimensions = open_ended_question("Enter a number: ")
-
-    console.log("Quantization of the embeddings?")
-    let quantization_options = ['fp16', 'fp32']
-
-    let quantization = multiple_choice_question("Select a quantization: ", quantization_options)
-    
-    results.quantization = quantization
-    results.samples = samples
-    results.dimensions = dimensions
-    results.content_type = content_type
-    results.input_type = input_type
-    results.location = location
-    results.source = source
-    results.modelName = modelName
-    results.text_embedding_model = text_embedding_model
-    results.image_embedding_model = image_embedding_model
-    results.audio_embedding_model = audio_embedding_model
-    results.video_embedding_model = video_embedding_model
-    results.units = "samples"
-    
-    return results
-}
-
-export function knn_generate_hwrequirements(){
-    let results = generate_hwrequirements_template(generate)
-    let bytes_per_dimensions
-    if (generate.quantization == 'fp16'){
-        bytes_per_dimensions = 2
-    }
-    if (generate.quantization == 'fp32'){
-        bytes_per_dimensions = 4
-    }
-
-    let filename_length = 2048
-    let filename_id = 64
-    let vector_id = 64
-    let metadata_size = 2048
-    let dimension_size = generate.dimensions * bytes_per_dimensions
-    let size_per_sample = filename_length + filename_id + vector_id + metadata_size + dimension_size
-    let total_size = size_per_sample * generate.samples
-    let minFlops = {
-        "fp8": 0,
-        "fp16": 10,
-        "fp32": 0,
-    }
-    
-    results.samples_per_second = 0
-    results.gpuCount = [1]
-    results.cpu_count = [2,4]
-    results.flopsPerUnit = 0
-    results.minFlops = minFlops
-    results.minSpeed = results.minFlops.fp16 / 35.58 
-    results.gpuMemory = total_size
-    results.disk_usage = total_size
-    results.cpu_memory = total_size
-    results.memory = total_size
-
-    return results
-}
-
-export function knn_generate_metadata(){
-    let results = generate_metadata_template(generate)
-    results.content_type = generate.content_type
-    results.input_type = generate.input_type
-    results.text_embedding_model = generate.text_embedding_model
-    results.image_embedding_model = generate.image_embedding_model
-    results.audio_embedding_model = generate.audio_embedding_model
-    results.video_embedding_model = generate.video_embedding_model
-    results.samples = generate.samples
-    results.dimensions = generate.dimensions
-    results.quantization = generate.quantization
-    results.templates = generate.templates
-    return results
-}
-
-export function knn_generate(generate){
-    let results = generate_template(generate)
-    results.metadata = knn_generate_metadata(generate)
-    results.hwRequirements = knn_generate_hwrequirements(generate)
-    results.skill = "knn"
-    results.id = "knn-" + generate.modelName + "-" + generate.samples + "-" + generate.dimensions + "-" + generate.quantization
-    return results
-}
-
-export function knn_add(generation){
-    if (generation.modelName != undefined){
-        models_generate_knn[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_knn.json'), JSON.stringify(models_generate_knn, null, 2))       
-        return Object.keys(models_generate_knn)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/manifests/manifest_llama_cpp.js b/huggingface_scraper/manifests/manifest_llama_cpp.js
deleted file mode 100644
index b18e23e..0000000
--- a/huggingface_scraper/manifests/manifest_llama_cpp.js
+++ /dev/null
@@ -1,874 +0,0 @@
-import {complete, open_ended_question, multiple_choice_question, multiple_select_question, parse_templates, generate_template, generate_metadata_template, generate_hwrequirements_template} from '../utils.js'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import models_llama_cpp_generate from '../modeldata/generate_llama_cpp.json' assert { type: 'json' };
-import fs from 'fs'
-import path, { parse } from 'path'
-
-export class Manifest_llama_cpp{
-    constructor(){
-        this.metadata = {}
-        this.hwRequirements = {}
-        this.folderData = {}
-        this.cache = {}
-        this.format = ""
-        this.id = ""
-        this.source = ""
-    }
-
-    main(generate){
-        let generation = llama_cpp_generate(generate)
-        for (var key in generation){
-            this[key] = generation[key]
-        }
-        return this
-    }
-
-    calc(){
-        return llama_cpp_calc()
-    }
-}
-
-export default function llama_cpp_calc(){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let modelName = open_ended_question("Enter a model name: ")
-
-    let locations = ['local', 'huggingface', 'http', 's3']
-
-    let location = multiple_choice_question("Where is the model located?", locations) 
-
-    let source = open_ended_question("Enter a source from " + location + ": ")
-
-    let formats = ["gguf", "ggml", "llama_fp16", "llama_fp32"]
-
-    let format = multiple_choice_question("What is the model format?", formats)
-
-    let quantization
-    if (format == 'llama_fp16'){
-        quantization = 'fp16'
-    }
-
-    if (format == 'llama_fp32'){
-        quantization = 'fp32'
-    }
-
-    if (format == 'gguf' || format == 'ggml'){
-        let quantizations = ['Q8_0', 'Q6_K', 'Q5_K_M','Q5_K_S', 'Q5_0', 'Q4_K_M' , 'Q4_K_S' ,'Q4_0', 'Q3_K_L' ,'Q3_K_S', 'Q3_K_M', 'Q2_K', ]
-       
-        quantization = multiple_choice_question("what is the model quantization?", quantizations)
-    }
-
-    console.log("quantization is: " + quantization)
-
-    let parameters_options = [3.5,7,13,30,33,40,65,70,180]
-
-    let parameters = multiple_choice_question("how many billions of parameters are there?", parameters_options)
-
-    parameters = parseInt(parameters) * 1000000000
-
-    let contextSizes = [2048, 4096, 8192, 16384]
-    
-    let contextSize = multiple_choice_question("what is the length of the context size?", contextSizes)
-
-    let ropeScale = 0
-    if (contextSize => 2048){
-        let ropeScales = ['1x', '2x', '4x', '8x']
-
-        ropeScale = multiple_choice_question("what is the rope scale?", ropeScales)
-    }
-
-    let prompt_templates = ['llama-2', 'vicuna', 'alpaca', 'chatlm', "mistral-lite"]
-    let chat_templates = ["llama-2", "vicuna", "alpaca", "chatlm", "mistral-lite"]
-
-    
-    let default_template = multiple_choice_question("Select default prompt template: ", prompt_templates)
-    
-    let tmp_templates = prompt_templates
-    let templates = []
-    templates.push(default_template)
-    tmp_templates.splice(tmp_templates.indexOf(default_template), 1)
-
-    let additional_templates = multiple_select_question("Select additional prompt templates: ", tmp_templates)
-    for (var this_template in additional_templates){
-        templates.push(this_template)
-    }
-    
-    console.log("chosen templates")
-    console.log(templates)
-
-    let generate = {}
-    generate.parameters = parameters
-    generate.contextSize = contextSize
-    generate.ropeScale = ropeScale
-    generate.quantization = quantization
-    generate.format = format
-    generate.location = location
-    generate.source = source
-    generate.templates = templates
-    generate.modelName = modelName
-    generate.templates = templates
-
-    let results = llama_cpp_generate(generate)
-
-    if (results == {}){
-        console.log("Error generating metadata")
-        return false
-    }
-    else{
-        console.log(results)
-        return results
-    }
-}
-
-
-export function llama_cpp_generate_hw_requirements(generate){
-    let results = generate_hwrequirements_template(generate)
-    results["gpuCount"] = [0]
-    results["minSpeed"] = 0
-    results["gpuMemory"] = 0
-    results["tokensPerSecond"] = 0
-    results["flopsPerUnit"] = 0
-    results["diskUsage"] = 0
-    let model_padding = 1.1
-    let flopsPerUnit = 0
-    let tokensPerSecond = 0
-    let gpuCount
-    let cpuCount
-    let minFlops
-    let quantization = generate.quantization
-
-    if(generate.parameters > 0){
-        let bits = 0
-        // update this from the ggml standard //
-        // fix this //
-        if (quantization == 'fp16'){
-            bits = 16
-        }
-        if (quantization == 'fp32'){
-            bits = 32
-        }
-        if (quantization == 'Q8_0'){
-            bits = 8
-        }
-        if (quantization == 'Q6_K'){
-            bits = 6.5625
-        }
-        if (quantization == 'Q5_K_S'){
-            bits = 5.5
-        }
-        if (quantization == 'Q5_K_M'){
-            bits = 5.5
-        }
-        if (quantization == 'Q5_0'){
-            bits = 5.5
-        }
-        if (quantization == 'Q4_K_M'){
-            bits = 4.5
-        }
-        if (quantization == 'Q4_K_S'){
-            bits = 4.5
-        }
-        if (quantization == 'Q4_0'){
-            bits = 4
-        }
-        if (quantization == 'Q3_K_S'){
-            bits = 3.4375
-        }
-        if (quantization == 'Q3_K_L'){
-            bits = 3.4375
-        }
-        if (quantization == 'Q3_K_M'){
-            bits = 3.4375
-        }
-        if (quantization == 'Q2_K'){
-            bits = 2.5625
-        }
-
-        results["gpuMemory"] = generate.parameters * bits / 8 * model_padding
-        results["diskUsage"] = results["gpuMemory"] * model_padding
-
-        if (quantization == 'Q2_K'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        }
-        else if (quantization == 'Q4_0' || quantization == 'Q4_K_S' || quantization == 'Q4_K_M'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        }
-        else if (quantization == 'Q3_K_M' || quantization == 'Q3_K_S' || quantization == 'Q3_K_L'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        } else if (quantization == 'Q5_0' || quantization == 'Q5_K_S' || quantization == 'Q5_K_M'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        }else if (quantization == 'Q6_K'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        }else if (quantization == 'Q8_0'){
-            if (generate.parameters >= 180 * 1000000000){
-                throw "Model is too large"
-            }
-            if(generate.parameters <= 180 * 1000000000 && generate.parameters >= 70 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [2,4]
-                cpuCount = [2,4]
-                minFlops =  {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 70 * 1000000000 && generate.parameters >= 65 * 1000000000){
-                flopsPerUnit = 35.58 / 12
-                tokensPerSecond = 12
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 65 * 1000000000 && generate.parameters >= 40 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 75,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 40 * 1000000000 && generate.parameters >= 33 * 1000000000){
-                flopsPerUnit = 35.58 / 15
-                tokensPerSecond = 15
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops =	 {
-                    "fp8": 0,
-                    "fp16": 50,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 33 * 1000000000 && generate.parameters >= 30 * 1000000000){
-                flopsPerUnit = 35.58 / 29
-                tokensPerSecond = 29
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 35,
-                    "fp32": 0,
-                }		
-            }
-            if(generate.parameters <= 30 * 1000000000 && generate.parameters >= 13 * 1000000000){
-                flopsPerUnit = 35.58 / 60
-                tokensPerSecond = 60
-                gpuCount = [1,2]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 20,
-                    "fp32": 0,
-                }			
-            }
-            if(generate.parameters <= 13 * 1000000000 && generate.parameters >= 7 * 1000000000){
-                flopsPerUnit = 35.58 / 85
-                tokensPerSecond = 85
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }				
-            }
-            if(generate.parameters <= 7 * 1000000000 && generate.parameters >= 3.5 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-            if(generate.parameters <= 3.5 * 1000000000 && generate.parameters >= 1 * 1000000000){
-                flopsPerUnit = 35.58 / 100
-                tokensPerSecond = 100
-                gpuCount = [1]
-                cpuCount = [2,4]
-                minFlops = {
-                    "fp8": 0,
-                    "fp16": 10,
-                    "fp32": 0,
-                }
-            }
-        }
-        else{
-            throw ("Failed to Generate, Invalid quantization, no stats for " + quantization + " quantization")
-        }
-    }
-    
-    if(parseFloat(generate.experts) > 0){
-        results["diskUsage"] = results["diskUsage"] * generate.experts
-        results["gpuMemory"] = results["gpuMemory"] * generate.experts
-        results["cpuMemory"] = results["gpuMemory"] * generate.experts
-    }
-    else{
-        results["diskUsage"] = results["diskUsage"]
-        results["gpuMemory"] = results["gpuMemory"]
-        results["cpuMemory"] = results["gpuMemory"]
-    }
-
-    results["minFlops"] = minFlops
-    results["flopsPerUnit"] = flopsPerUnit
-    results["tokensPerSecond"] = tokensPerSecond  
-    results["gpuCount"] = gpuCount
-    results["cpuCount"] = cpuCount
-    results["minSpeed"] = minFlops["fp16"] / 35.58 
-
-    return results
-}
-
-export function llama_cpp_generate_metadata(generate){
-    let results = generate_metadata_template(generate)
-    results.contextSize = generate.contextSize
-    results.parameters = generate.parameters
-    results.quantization = generate.quantization
-    results.ropeScale = generate.ropeScale
-    results.templates = generate.templates
-    results.units = "tokens"
-    results.skill = "llama_cpp"
-    return results
-}
-
-export function llama_cpp_generate(generate){
-    let results = generate_template(generate)
-    //results.id = generate.modelName + '-' + (parseInt(generate.parameters) / 1000000000).toString() + 'b-' + generate.quantization
-    results.id = generate.modelName + '-' + generate.quantization
-    results.metadata = llama_cpp_generate_metadata(generate)
-    results.hwRequirements = llama_cpp_generate_hw_requirements(generate)
-    results.skill = "llama_cpp"
-    return results
-}
-
-export function llama_cpp_add(generation){
-    if (generation.modelName != undefined){
-        models_llama_cpp_generate[generation.modelName] = generation
-        fs.writeFileSync(path.resolve('../modeldata/generate_llama_cpp.json'), JSON.stringify(models_llama_cpp_generate, null, 2))       
-        return Object.keys(models_llama_cpp_generate)
-    }
-    else{
-        throw "model name is undefined"
-    }      
-}
\ No newline at end of file
diff --git a/huggingface_scraper/model_manager.js b/huggingface_scraper/model_manager.js
deleted file mode 100644
index d36c5ad..0000000
--- a/huggingface_scraper/model_manager.js
+++ /dev/null
@@ -1,1793 +0,0 @@
-import fs from 'fs';
-import os from 'os';
-import path from 'path';
-import util from 'util';
-import { promisify } from 'util';
-import { exec } from 'child_process';
-//from './s3_kit.js' import S3Kit;
-//import AWS from 'aws-sdk';
-//import { S3 } from 'aws-sdk';
-//import ipfsClient from 'ipfs-http-client';
-import * as test_fio from './test_fio.js';
-import * as s3_kit from './s3_kit.js';
-import * as ipfs_kit from './ipfs_kit.js';
-import * as install_ipfs from './ipfs_kit_lib/install_ipfs.js';
-import fsExtra from 'fs-extra';
-import crypto from 'crypto';
-import rimraf from 'rimraf';
-import _ from 'lodash';
-import * as temp_file from "./tmp_file.js";
-
-//const s3 = new AWS.S3();
-//const ipfs = ipfsClient('http://localhost:5001');
-const readFile = util.promisify(fs.readFile);
-const writeFile = util.promisify(fs.writeFile);
-const stat = util.promisify(fs.stat);
-const moveFile = util.promisify(fs.rename);
-const rimrafAsync = util.promisify(rimraf);
-const tmpFile = new temp_file.TempFileManager()
-
-class ModelManager {
-    constructor(resources = null, meta = null) {
-        let localPatAnonh
-        this.models = {
-            "s3_models": [],
-            "ipfs_models": [],
-            "local_models": [],
-            "https_models": []
-        };
-        this.ls_https_models = this.ls_https_models.bind(this);
-        this.ls_ipfs_models = this.ls_ipfs_models.bind(this);
-        this.ls_local_models = this.ls_local_models.bind(this);
-        this.ls_s3_models = this.ls_s3_models.bind(this);
-        this.tmpFile = tmpFile;
-        this.ipfsCollection = {};
-        this.s3Collection = {};
-        this.localCollection = {};
-        this.httpsCollection = {};
-        this.pinned = [];
-        this.fastest = null;
-        this.bandwidth = null;
-        this.thisModelPath = null;
-        this.thisModel = null;
-        this.thisModelName = null;
-        this.s3cfg = null;
-        let username = os.userInfo().username;
-        let localPath
-        if (username === "root") {
-            this.localPath = "/root/";
-            localPath = this.localPath;
-        } else {
-            this.localPath = path.join(os.homeDir(), username);
-            localPath = this.localPath;
-        }
-        if (meta !== null && typeof meta === 'object') {
-            this.s3cfg = meta.s3cfg || null;
-            this.ipfsSrc = meta.ipfs_src || null;
-            this.timing = meta.timing || null;
-            this.collectionCache = meta.cache || null;
-            this.modelHistory = meta.history || null;
-            this.role = meta.role || null;
-            this.clusterName = meta.cluster_name || null;
-            if (Object.keys(meta).includes("local_path")){
-                this.localPath = meta.local_path;
-            }
-            else {
-                this.localpath = path.join(localPath, ".cache/huggingface");
-                meta.local_path = path.join(localPath, ".cache/huggingface");
-            }
-            if (Object.keys(meta).includes("ipfs_path")){
-                this.ipfsPath = meta.ipfs_path || path.join(this.localPath  , ".cache/ipfs");
-                meta.ipfs_path = meta.ipfs_path || path.join(this.localPath  , ".cache/ipfs");
-            }
-            else{
-                this.ipfsPath = path.join(this.localPath, ".cache/ipfs");
-                meta.ipfs_path = path.join(this.localPath, ".cache/ipfs");
-            }
-            this.ipfsPath = meta.ipfs_path || (this.localPath + "/.cache/ipfs");
-            this.s3cfg = meta.s3_cfg || null;
-        } 
-        else {
-            this.localPath = path.join(this.ipfsPath , "cloudkit-models");
-            // get the username of the current user and determine if its root
-            this.s3cfg = null;
-            this.role = "leecher";
-            this.clusterName = "cloudkit_storage";
-            this.cache = {
-                "local": "/storage/cloudkit-models/collection.json",
-                "s3": "s3://huggingface-models/collection.json",
-                "ipfs": "QmXBUkLywjKGTWNDMgxknk6FJEYu9fZaEepv3djmnEqEqD",
-                "https": "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-            };
-            meta = {
-                "local_path": this.localPath || localPath,
-                "ipfs_path": this.ipfsPath,
-                "s3_cfg": this.s3cfg,
-                "role": this.role,
-                "cluster_name": this.clusterName,
-                "cache": this.cache,
-            };
-        }
-
-        let homeDir = os.homedir();
-        let homeDirFiles = fs.readdirSync(homeDir);
-        this.testFio = new test_fio.TestFio();
-        this.s3Kit = new s3_kit.S3Kit(resources, meta);
-        let installIpfs = new install_ipfs.InstallIPFS(resources, meta);
-        this.ipfsKit = new ipfs_kit.IpfsKit(resources, meta);
-        this.installIpfs = installIpfs;
-        let ipfsPath = this.ipfsPath;
-        if (!fs.existsSync(this.ipfsPath)) {
-            fs.mkdirSync(this.ipfsPath, { recursive: true });
-        }
-        if (!fs.existsSync(this.localPath)) {
-            fs.mkdirSync(this.localPath, { recursive: true });
-        }
-        let ipfsPathFiles = fs.readdirSync(ipfsPath);
-        if (!ipfsPathFiles.includes('ipfs') || !fs.existsSync(ipfsPath)) {
-            this.installIpfs.installIpfsDaemon();
-            this.installIpfs.installIpget();
-            let stats = this.testFio.stats(this.ipfsPath);
-            this.installIpfs.configIpfs({
-                diskStats: stats,
-                ipfsPath: this.ipfsPath,
-            });
-        }            
-        if (this.role === "master" && !homeDirFiles.includes('.ipfs-cluster-service')) {
-            this.installIpfs.installIPFSClusterService();
-            this.installIpfs.installIPFSClusterCtl();
-            this.installIpfs.configIPFSClusterService();
-            this.installIpfs.configIpfsClusterCtl();
-        } else if (this.role === "worker" && !homeDirFiles.includes('.ipfs-cluster-follow')) {
-            this.installIpfs.installIPFSClusterService();
-            this.installIpfs.installIPFSClusterFollow();
-            this.installIpfs.configIPFSClusterService();
-            this.installIpfs.configIPFSClusterFollow();
-        }
-
-        this.ipfsKit.ipfsKitStop();
-        this.ipfsKit.ipfsKitStart();
-        let executeReady = false;
-        while (executeReady != true) {
-            try {
-                let readyIpfsKit = this.ipfsKit.ipfsKitReady();
-                if (Object.keys(readyIpfsKit).every(k => readyIpfsKit[k] === true) || readyIpfsKit === true){
-                    executeReady = true
-                }
-                else{
-                    executeReady = false
-                }
-            } catch (e) {
-                executeReady = e.toString();
-            }
-        }
-
-        this.models = {};
-        this.lastUpdate = 0.1;
-        this.historyModels = {};
-        this.pinnedModels = {};
-        this.collection = {};
-        this.collectionPins = [];
-        this.zombies = {};
-        this.expired = {};
-        this.notFound = [];
-        this.ipfsPinset = {
-            "ipfs": {},
-            "ipfs_cluster": {},
-        };
-    }
-
-    async call(method, kwargs) {
-        switch (method) {
-            case "loadCollection":
-                return this.loadCollection(kwargs);
-            case "download_model":
-                return this.downloadModel(kwargs);
-            case "loadCollection_cache":
-                return this.loadCollectionCache(kwargs);
-            case "auto_download":
-                return this.autoDownload(kwargs);
-            case "ls_models":
-                return this.ls_models(kwargs);
-            case "ls_s3_models":
-                return this.ls_s3_models(kwargs);
-            case "check_local":
-                return this.checkLocal(kwargs);
-            case "check_https":
-                return this.checkHttps(kwargs);
-            case "check_s3":
-                return this.checkS3(kwargs);
-            case "check_ipfs":
-                return this.checkIpfs(kwargs);
-            case "download_https":
-                return this.downloadHttps(kwargs);
-            case "download_s3":
-                return this.downloadS3(kwargs);
-            case "download_ipfs":
-                return this.downloadIpfs(kwargs);
-            case "test":
-                return this.test(kwargs);
-            default:
-                throw new Error(`Method ${method} not found`);
-        }
-    }
-
-    async loadCollection(kwargs) {
-        try {
-            this.httpsCollection = await this.downloadHttps('https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json', "/tmp/");
-            this.httpsCollection = JSON.parse(fs.readFileSync(this.httpsCollection, 'utf8'));
-        } catch (e) {
-            this.httpsCollection = e;
-        }
-    
-        try {
-            let thisTempFile = await new Promise((resolve, reject) => {
-                this.tmpFile.createTempFile({  postfix: '.json', dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                    if (err) {
-                        reject(err);
-                    } else {
-                        resolve({ name: path, fd, removeCallback: cleanupCallback });
-                    }
-                });
-            });
-    
-            let results = await this.ipfsKit.ipfsGet(this.ipfsSrc, thisTempFile.name);
-            if (results && results.length > 0) {
-                this.ipfsCollection = JSON.parse(fs.readFileSync(thisTempFile.name, 'utf8'));
-            } else {
-                this.ipfsCollection = { "error": "no results" };
-            }
-        } catch (e) {
-            this.ipfsCollection = { "error": e.toString() };
-        }
-    
-        try {
-            let thisTempFile = await new Promise((resolve, reject) => {
-                tmpFile.createTempFile({  postfix: '.json', dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                    if (err) {
-                        reject(err);
-                    } else {
-                        resolve({ name: path, fd, removeCallback: cleanupCallback });
-                    }
-                });
-            });
-    
-            await this.s3Kit.s3DlFile('collection.json', thisTempFile.name, this.s3cfg["bucket"]);
-            this.s3Collection = JSON.parse(fs.readFileSync(thisTempFile.name, 'utf8'));
-        } catch (e) {
-            this.s3Collection = e;
-        }
-    
-        if (fs.existsSync(path.join(this.ipfsPath, "collection.json"))) {
-            this.localCollection = JSON.parse(fs.readFileSync(path.join(this.ipfsPath, "collection.json"), 'utf8'));
-        }
-    
-        let ipfsStop, ipfsStart;
-        try {
-            ipfsStop = await this.ipfsKit.ipfsKitStop();
-        } catch (e) {
-            ipfsStop = e;
-        }
-    
-        try {
-            ipfsStart = await this.ipfsKit.ipfsKitStart();
-        } catch (e) {
-            ipfsStart = e;
-        }
-    
-        return {
-            "ipfs_stop": ipfsStop,
-            "ipfs_start": ipfsStart,
-            "ipfs_collection": this.ipfsCollection,
-            "s3_collection": this.s3Collection,
-            "local_collection": this.localCollection,
-            "https_collection": this.httpsCollection
-        };
-    }
-
-    async downloadHttps(httpsSrc, modelPath, kwargs) {
-        let suffix = "." + httpsSrc.split("/").pop().split(".").pop();
-        let dstPath, filename, dirname;
-
-        if (fs.existsSync(modelPath)) {
-            if (fs.lstatSync(modelPath).isDirectory()) {
-                filename = httpsSrc.split("/").pop();
-                dstPath = path.join(modelPath, filename);
-            } else {
-                filename = httpsSrc.split("/").pop();
-                dirname = path.dirname(modelPath);
-                dstPath = path.join(dirname, filename);
-            }
-        } else {
-            dirname = path.dirname(modelPath);
-            filename = httpsSrc.split("/").pop();
-            if (fs.existsSync(dirname)) {
-                dstPath = path.join(dirname, filename);
-            } else {
-                fs.mkdirSync(dirname, { recursive: true });
-                dstPath = path.join(dirname, filename);
-            }
-        }
-        try{
-            let thisTempFile = await new Promise((resolve, reject) => {
-                this.tmpFile.createTempFile({  postfix: suffix, dir: '/tmp' }, async (err, path, fd, cleanupCallback) => {                    
-                    if (err) {
-                        console.log(err);
-                        reject(err);
-                    } else {  
-                        let tmpFilename = path.split("/").pop();
-                        let command = `aria2c -x 16 ${httpsSrc} -d /tmp -o ${tmpFilename} --allow-overwrite=true`;          
-                        await execsync(command).then((results) => {
-                            console.log(results)
-                            resolve({ name: path, fd, removeCallback: cleanupCallback });
-                        }).catch((e) => {
-                            console.log(e);
-                            reject(e);
-                        });
-                    }   
-                });
-            });
-        }
-        catch(e){
-            console.log(e);
-        }
-
-
-        if (fs.existsSync(dstPath)) {
-            let command2 = `rm ${dstPath}`;
-            await exec(command2);
-        }
-
-        if (!dstPath.includes("collection.json") && !dstPath.includes("README.md")) {
-            let command3 = `mv /tmp/${tmpFilename} ${dstPath}`;
-            await exec(command3);
-
-            if (fs.existsSync(thisTempFile.name)) {
-                let command4 = `rm /tmp/${tmpFilename}`;
-                await exec(command4);
-            }
-        } else {
-            let command3 = `cp /tmp/${tmpFilename} ${dstPath}`;
-            await exec(command3);
-
-            if (fs.existsSync(thisTempFile.name)) {
-                let command4 = `rm /tmp/${tmpFilename}`;
-                await exec(command4);
-            }
-        }
-
-        return dstPath;
-    }
-
-    async downloadS3(s3Src, filenameDst, kwargs) {
-        if (filenameDst.split(".").length > 1) {
-            try {
-                let suffix = "." + filenameDst.split(".").pop();
-                let thisTempFile = await new Promise((resolve, reject) => {
-                    tmpFile.createTempFile({  postfix: suffix, dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                        if (err) {
-                            reject(err);
-                        } else {
-                            resolve({ name: path, fd, removeCallback: cleanupCallback });
-                        }
-                    });
-                });
-    
-                let thisFileKey = s3Src.split(s3cfg["bucket"] + "/")[1];
-
-                let params = {
-                    Bucket: s3cfg["bucket"],
-                    Key: thisFileKey
-                };
-
-                let file = fs.createWriteStream(thisTempFile.name);
-                let stream = s3.getObject(params).createReadStream().pipe(file);
-
-                await new Promise((resolve, reject) => {
-                    stream.on('finish', resolve);
-                    stream.on('error', reject);
-                });
-
-                let results = fs.existsSync(thisTempFile.name);
-                if (results) {
-                    fs.renameSync(thisTempFile.name, filenameDst);
-
-                    if (fs.existsSync(thisTempFile.name)) {
-                        fs.unlinkSync(thisTempFile.name);
-                    }
-
-                    return filenameDst;
-                } else {
-                    return false;
-                }
-            } catch (e) {
-                if (fs.existsSync(thisTempFile.name)) {
-                    fs.unlinkSync(thisTempFile.name);
-                }
-                return e;
-            }
-        } else {
-            throw new Error("Invalid filenameDst, no `.` suffix found");
-        }
-    }
-
-    async downloadIpfs(ipfsSrc, filenameDst, kwargs) {
-        if (filenameDst.split(".").length > 1) {
-            try {
-                if (!filenameDst.includes(".cache") && filenameDst.includes(".")) {
-                    let suffix = "." + filenameDst.split(".").pop();
-                    let thisTempFile = await new Promise((resolve, reject) => {
-                        tmpFile.createTempFile({  postfix: suffix, dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                            if (err) {
-                                reject(err);
-                            } else {
-                                resolve({ name: path, fd, removeCallback: cleanupCallback });
-                            }
-                        });
-                    });
-        
-                    let results = await ipfs.get(ipfsSrc, { timeout: 10000 });
-                    if (results.path) {
-                        fs.renameSync(results.path, filenameDst);
-
-                        if (fs.existsSync(thisTempFile.name)) {
-                            fs.unlinkSync(thisTempFile.name);
-                        }
-
-                        return filenameDst;
-                    } else {
-                        throw new Error("No path in results or timeout");
-                    }
-                } else {
-                    let tempDir = tmp.dirSync({ dir: '/tmp' });
-                    let results = await ipfs.get(ipfsSrc, { timeout: 10000 });
-
-                    if (results.path) {
-                        fs.renameSync(results.path, filenameDst);
-                        return filenameDst;
-                    }
-                }
-            } catch (e) {
-                console.log("Exception thrown remove files");
-                if (fs.existsSync(thisTempFile.name)) {
-                    fs.unlinkSync(thisTempFile.name);
-                }
-                return e;
-            }
-        } else {
-            // throw new Error("Invalid filenameDst, no `.` suffix found");
-        }
-    }
-
-
-    async downloadModel(model, kwargs) {
-        let ipfsTimestamp = null;
-        let s3Timestamp = null;
-        let localTimestamp = null;
-        let httpsTimestamp = null;
-
-        if (typeof this.ipfsCollection === 'object' && this.ipfsCollection.hasOwnProperty('cache')) {
-            if (this.ipfsCollection.cache.hasOwnProperty('timestamp')) {
-                ipfsTimestamp = this.ipfsCollection.cache.timestamp;
-            }
-            if (ipfsTimestamp === null) {
-                ipfsTimestamp = Date.now();
-            }
-        }
-
-        // Assuming s3_kit.s3_ls_file is an async function
-        if (typeof this.s3Collection === 'object' && this.s3Collection.hasOwnProperty('cache')) {
-            if (this.s3Collection.cache.hasOwnProperty('timestamp')) {
-                s3Timestamp = this.s3Collection.cache.timestamp;
-            }
-            if (s3Timestamp === null) {
-                let s3File = path.basename(this.collectionCache.s3);
-                let s3Dir = path.dirname(this.collectionCache.s3);
-                s3Timestamp = await this.s3_kit.s3_ls_file(s3File, s3Dir);
-                let key = Object.keys(s3Timestamp)[0];
-                s3Timestamp = s3Timestamp[key].last_modified;
-            }
-        }
-
-        if (typeof this.localCollection === 'object' && this.localCollection.hasOwnProperty('cache')) {
-            if (this.localCollection.cache.hasOwnProperty('timestamp')) {
-                localTimestamp = this.localCollection.cache.timestamp;
-            }
-            if (localTimestamp === null) {
-                localTimestamp = fs.statSync(this.collectionCache.local).mtimeMs;
-            }
-        }
-
-        if (typeof this.httpsCollection === 'object' && this.httpsCollection.hasOwnProperty('cache')) {
-            if (this.httpsCollection.cache.hasOwnProperty('timestamp')) {
-                httpsTimestamp = this.httpsCollection.cache.timestamp;
-            }
-            if (httpsTimestamp === null) {
-                httpsTimestamp = Date.now();
-            }
-        }
-
-        let timestamps = {
-            ipfs: ipfsTimestamp,
-            s3: s3Timestamp,
-            local: localTimestamp,
-            https: httpsTimestamp
-        };
-
-        if (!Object.values(timestamps).every(v => v === null)) {
-            timestamps = Object.fromEntries(Object.entries(timestamps).filter(([k, v]) => v !== null));
-            let newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-        } else {
-            throw new Error("No collection cache found");
-        }
-
-        let ipfsModelData = null;
-        let s3ModelData = null;
-        let localModelData = null;
-        let httpsModelData = null;
-
-        if (typeof this.ipfsCollection === 'object' && this.ipfsCollection.hasOwnProperty(model)) {
-            ipfsModelData = this.ipfsCollection[model];
-        }
-        if (typeof this.s3Collection === 'object' && this.s3Collection.hasOwnProperty(model)) {
-            s3ModelData = this.s3Collection[model];
-        }
-        if (typeof this.localCollection === 'object' && this.localCollection.hasOwnProperty(model)) {
-            localModelData = this.localCollection[model];
-        }
-        if (typeof this.httpsCollection === 'object' && this.httpsCollection.hasOwnProperty(model)) {
-            httpsModelData = this.httpsCollection[model];
-        }
-
-        let modelData = {
-            ipfs: ipfsModelData,
-            s3: s3ModelData,
-            local: localModelData,
-            https: httpsModelData
-        };
-
-        if (Object.values(modelData).every(v => v === null)) {
-            throw new Error("Model not found");
-        }
-
-        let thisModel = null;
-
-        if (modelData[newest] !== null) {
-            if (modelData[newest].hwRequirements.diskUsage > os.freemem()) {
-                throw new Error("Not enough disk space to download model");
-            } else {
-                thisModel = await this.autoDownload(modelData[newest], kwargs);
-            }
-        } else {
-            while (thisModel === null && Object.keys(timestamps).length > 0) {
-                delete timestamps[newest];
-                newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-            }
-
-            if (modelData[newest] !== null) {
-                if (modelData[newest].hwRequirements.diskUsage > os.freemem()) {
-                    throw new Error("Not enough disk space to download model");
-                } else {
-                    thisModel = await this.autoDownload(modelData[newest], kwargs);
-                }
-            }
-
-            if (thisModel === null) {
-                throw new Error("Model not found");
-            }
-            this.models.local_models[thisModel.id] = Date.now();
-        }
-        return thisModel;
-    }
-
-    async checkLocal(manifest, kwargs) {
-        let folderData = manifest["folderData"];
-        let cache = manifest["cache"];
-        let local = cache["local"];
-        let checkFilenames = {};
-        let localFiles = Object.keys(local);
-        let localPath = this.localPath + "/" + manifest["id"] + "/";
-        for (let localFile of localFiles) {
-            let thisFile = local[localFile];
-            // remove the first character if it is a "/"
-            let thisFileUrl = thisFile["url"];
-            let thisFilePath = thisFile["path"];
-            let thisLocalFile;
-            if (thisFilePath[0] == "/") {
-                thisLocalFile = thisFilePath.slice(1);
-            } else {
-                thisLocalFile = thisFilePath;
-            }
-            thisFilePath = path.join(localPath, thisLocalFile);
-            if (fs.existsSync(thisFilePath)) {
-                let thisFileMtime = fs.statSync(thisFilePath).mtimeMs;
-                checkFilenames[localFile] = thisFileMtime;
-            } else {
-                checkFilenames[localFile] = false;
-            }
-        }
-
-        checkFilenames["/manifest.json"] = true;
-        if (Object.values(checkFilenames).every(Boolean)) {
-            delete checkFilenames["/manifest.json"];
-            let oldestFileTimestamp = Math.min(...Object.values(checkFilenames));
-            return oldestFileTimestamp;
-        } else {
-            return false;
-        }
-    }
-
-
-    async checkHttps(manifest, kwargs) {
-        let folderData = manifest["folderData"];
-        let cache = manifest["cache"];
-        let https = cache["https"];
-        let httpsFiles = Object.keys(https);
-        let checkFilenames = {};
-        for (let httpsFile of httpsFiles) {
-            let thisHttpsFile = https[httpsFile];
-            if ("url" in thisHttpsFile && httpsFile != "/manifest.json") {
-                let thisHttpsUrl = thisHttpsFile["url"];
-                try {
-                    let results = await axios.head(thisHttpsUrl);
-                    if (results.status === 200 || results.status === 302) {
-                        checkFilenames[httpsFile] = Date.now();
-                    } else {
-                        checkFilenames[httpsFile] = false;
-                    }
-                } catch (e) {
-                    checkFilenames[httpsFile] = false;
-                }
-            } else {
-                checkFilenames[httpsFile] = false;
-            }
-        }
-
-        checkFilenames["/manifest.json"] = true;
-        if (Object.values(checkFilenames).every(Boolean)) {
-            return Date.now();
-        } else {
-            return false;
-        }
-    }
-
-    async checkS3(manifest, kwargs) {
-        let folderData = manifest["folderData"];
-        let files = Object.keys(folderData);
-        let cache = manifest["cache"];
-        let s3Cache = cache["s3"];
-        let s3Files = Object.keys(s3Cache);
-        let checkFilenames = {};
-        if (s3Files !== null) {
-            for (let s3File of s3Files) {
-                let thisS3Cache = s3Cache[s3File];
-                let thisS3Path = thisS3Cache["path"];
-                let thisS3Url = thisS3Cache["url"];
-                let thisS3Split, thisS3Bucket, thisS3Key;
-                if (thisS3Url.includes("s3://")) {
-                    thisS3Split = thisS3Url.split("/");
-                    thisS3Bucket = thisS3Split[2];
-                    thisS3Key = thisS3Split.slice(3).join("/");
-                } else if (thisS3Url[0] === "/") {
-                    thisS3Split = thisS3Path.split("/");
-                    thisS3Bucket = thisS3Split[2];
-                    thisS3Key = thisS3Split.slice(3).join("/");
-                }
-
-                try {
-                    let results = await this.s3Kit.s3LsFile(thisS3Key, thisS3Bucket);
-                    if (results !== null && results !== false && Object.keys(results).length > 0) {
-                        let filename = Object.keys(results)[0];
-                        let fileMetadata = results[filename];
-                        let mtime = new Date(fileMetadata["LastModified"]).getTime();
-                        checkFilenames[s3File] = mtime;
-                    } else {
-                        checkFilenames[s3File] = false;
-                    }
-                } catch (e) {
-                    checkFilenames[s3File] = e;
-                }
-            }
-        }
-
-        checkFilenames["/manifest.json"] = true;
-        if (Object.values(checkFilenames).every(Boolean)) {
-            delete checkFilenames["/manifest.json"];
-            let oldestFileTimestamp = Math.min(...Object.values(checkFilenames));
-            return oldestFileTimestamp;
-        } else {
-            return false;
-        }
-    }
-
-
-    async checkIpfs(manifest, kwargs) {
-        let folderData = manifest["folderData"];
-        let cache = manifest["cache"];
-        let ipfsCache = cache["ipfs"];
-        let ipfsFiles = Object.keys(ipfsCache);
-        let checkFilenames = {};
-        let ipfsPinset = Object.keys(this.ipfsPinset["ipfs"]);
-        for (let ipfsFile of ipfsFiles) {
-            let thisIpfsCache = ipfsCache[ipfsFile];
-            if ("path" in thisIpfsCache && ipfsFile != "/manifest.json") {
-                let thisIpfsCid = thisIpfsCache["path"];
-                try {
-                    if (ipfsPinset.includes(thisIpfsCid)) {
-                        checkFilenames[ipfsFile] = Date.now();
-                    } else {
-                        checkFilenames[ipfsFile] = false;
-                    }
-                } catch (e) {
-                    checkFilenames[ipfsFile] = false;
-                }
-            } else {
-                checkFilenames[ipfsFile] = false;
-            }
-        }
-
-        checkFilenames["/manifest.json"] = true;
-        if (Object.values(checkFilenames).every(Boolean)) {
-            return Date.now();
-        } else {
-            return false;
-        }
-    }
-
-    async loadCollectionCache(cache = {
-        local: "/storage/cloudkit-models/collection.json",
-        s3: "s3://cloudkit-beta/collection.json",
-        ipfs: "QmXBUkLywjKGTWNDMgxknk6FJEYu9fZaEepv3djmnEqEqD",
-        https: "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-    }){
-        let timestamp_0 = Date.now();
-        if (fs.existsSync(cache.local)) {
-            let data = await readFile(cache.local);
-            this.local_collection = JSON.parse(data);
-        }
-        try {
-            let https_collection = await this.downloadHttps(cache.https, '/tmp/collection.json');
-            // if (fs.existsSync("./collection.json/collection.json")) {
-            //     await moveFile("./collection.json/collection.json", "/tmp/collection.json");
-            //     await rimraf("./collection.json");
-            // }
-            if (fs.existsSync(https_collection)) {
-                let data = await fs.readFileSync(cache.https, 'utf8');
-                this.https_collection = JSON.parse(data);
-            } else if (fs.existsSync('/tmp/collection.json')) {
-                let data = await readFile('/tmp/collection.json');
-                this.https_collection = JSON.parse(data);
-            }
-        } catch (e) {
-            console.log(e);
-        }
-        let timestamp_1 = Date.now();
-        try {
-            let ipfs_download = await this.downloadIpfs(cache.ipfs, '/tmp/collection.json');
-            let data = await readFile(ipfs_download);
-            this.ipfs_collection = JSON.parse(data);
-        } catch (e) {
-            console.log(e);
-        }
-        let timestamp_2 = Date.now();
-        try {
-            let s3_download = await this.downloadS3(cache.s3, '/tmp/collection.json');
-//            let s3_download = await this.download_s3(cache.s3, '/tmp/collection.json');
-            let data = await readFile(s3_download);
-            this.s3_collection = JSON.parse(data);
-        } catch (e) {
-            console.log(e);
-        }
-        let timestamp_3 = Date.now();
-
-        let timestamps = {
-            https: timestamp_1 - timestamp_0,
-            ipfs: timestamp_2 - timestamp_1,
-            s3: timestamp_3 - timestamp_2
-        };
-
-        let fastest = Object.keys(timestamps).reduce((a, b) => timestamps[a] < timestamps[b] ? a : b);
-        this.fastest = fastest;
-        let file_size = (await stat('/tmp/collection.json')).size;
-        this.bandwidth = file_size / timestamps[fastest];
-
-        let md5_local = crypto.createHash('md5').update(JSON.stringify(this.local_collection)).digest("hex");
-        let md5_ipfs = crypto.createHash('md5').update(JSON.stringify(this.ipfs_collection)).digest("hex");
-        let md5_s3 = crypto.createHash('md5').update(JSON.stringify(this.s3_collection)).digest("hex");
-        let md5_https = crypto.createHash('md5').update(JSON.stringify(this.https_collection)).digest("hex");
-
-
-        if (md5_local === md5_ipfs && md5_local === md5_s3 && md5_local === md5_https) {
-            if (fastest === "ipfs" && Object.keys(this.ipfs_collection).length > 0) {
-                this.collection = this.ipfs_collection;
-            } else if (fastest === "s3" && Object.keys(this.s3_collection).length > 0) {
-                this.collection = this.s3_collection;
-            } else if (fastest === "https" && Object.keys(this.https_collection).length > 0) {
-                this.collection = this.https_collection;
-            } else if (fastest === "local" && Object.keys(this.local_collection).length > 0) {
-                this.collection = this.local_collection;
-            } else if (Object.keys(this.local_collection).length > 0) {
-                this.collection = this.local_collection;
-            } else {
-                throw new Error("No collection found");
-            }
-        }
-
-        let local_collection_cache = this.local_collection.cache || {};
-        let ipfs_collection_cache = this.ipfs_collection.cache || {};
-        let s3_collection_cache = this.s3_collection.cache || {};
-        let https_collection_cache = this.https_collection.cache || {};
-
-        let modified = {};
-        if (local_collection_cache.timestamp) {
-            modified.local = local_collection_cache.timestamp;
-        }
-        if (ipfs_collection_cache.timestamp) {
-            modified.ipfs = ipfs_collection_cache.timestamp;
-        }
-        if (s3_collection_cache.timestamp) {
-            modified.s3 = s3_collection_cache.timestamp;
-        }
-        if (https_collection_cache.timestamp) {
-            modified.https = https_collection_cache.timestamp;
-        }
-
-        if (Object.keys(modified).length > 0) {
-            let newest = Object.keys(modified).reduce((a, b) => modified[a] > modified[b] ? a : b);
-            this.collection = this[newest + "_collection"];
-        } else {
-            let sizes = {
-                local: JSON.stringify(this.local_collection).length,
-                ipfs: JSON.stringify(this.ipfs_collection).length,
-                s3: JSON.stringify(this.s3_collection).length,
-                https: JSON.stringify(this.https_collection).length
-            };
-            let largest = Object.keys(sizes).reduce((a, b) => sizes[a] > sizes[b] ? a : b);
-            this.collection = this[largest + "_collection"];
-        }
-
-        if (fs.existsSync(cache.local)) {
-            let data = await readFile(cache.local);
-            this.local_collection = JSON.parse(data);
-        }
-
-        return this.collection;
-    }
-
-
-    async auto_download(manifest, kwargs) {
-        let ls_models = this.ls_models();
-        let this_model_manifest = manifest;
-        this.history_models[this_model_manifest["id"]] = Date.now();
-        let this_model_manifest_cache = this_model_manifest["cache"];
-        let this_model_manifest_folder_data = this_model_manifest["folderData"];
-        let s3_test = false;
-        let ipfs_test = false;
-        let https_test = false;
-        let local_test = false;
-
-        // Local test
-        try {
-            if (fs.existsSync(this_model_manifest_cache["local"]["/README.md"]["path"])) {
-                local_test = true;
-                let basename = path.basename(this_model_manifest_cache["local"]["/README.md"]["path"]);
-                for (let file of this_model_manifest_folder_data) {
-                    if (!fs.existsSync(path.join(basename, file))) {
-                        local_test = false;
-                        break;
-                    }
-                }
-            }
-        } catch (e) {
-            local_test = false;
-        }
-
-        let timestamp_0 = Date.now();
-
-        // IPFS test
-        try {
-            ipfs_test = false;
-            let thisTempFile = await new Promise((resolve, reject) => {
-                tmpFile.createTempFile({ postfix: '.md' , dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                    if (err) {
-                        reject(err);
-                    } else {
-                        resolve({ name: path, fd, removeCallback: cleanupCallback });
-                    }
-                });
-            });
-
-            if ("/README.md" in Object.keys(this_model_manifest_cache["ipfs"])) {
-                let ipfs_test_file = await this.download_ipfs(this_model_manifest_cache["ipfs"]["/README.md"]["path"], this_temp_file.name);
-                let ipfs_test = fs.readFileSync(ipfs_test_file, 'utf8');
-                ipfs_test = ipfs_test.length > 0;
-            }
-        } catch (e) {
-            ipfs_test = e;
-        }
-
-        let timestamp_1 = Date.now();
-
-        // S3 test
-        try {
-            let thisTempFile = await new Promise((resolve, reject) => {
-                tmp.createTempFile({ postfix: '.md' , dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                    if (err) {
-                        reject(err);
-                    } else {
-                        resolve({ name: path, fd, removeCallback: cleanupCallback });
-                    }
-                });
-            });
-            if ("/README.md" in Object.keys(this_model_manifest_cache["s3"])) {
-                let s3_test;
-                if (this_model_manifest_cache["s3"]["/README.md"]["url"].startsWith("s3://")) {
-                    s3_test = await this.download_s3(this_model_manifest_cache["s3"]["/README.md"]["url"], this_temp_file.name);
-                } else {
-                    s3_test = await this.download_s3(this_model_manifest_cache["s3"]["/README.md"]["path"], this_temp_file.name);
-                }
-                s3_test = s3_test.toString();
-                if (!s3_test.includes("error")) {
-                    let s3_test = fs.readFileSync(this_temp_file.name, 'utf8');
-                    s3_test = s3_test.length > 0;
-                } else {
-                    s3_test = false;
-                }
-            }
-        } catch (e) {
-            s3_test = e;
-        }
-
-        let timestamp_2 = Date.now();
-
-        // HTTPS test
-        try {
-            let thisTempFile = await new Promise((resolve, reject) => {
-                tmpFile.createTempFile({ postfix: '.md' , dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                    if (err) {
-                        reject(err);
-                    } else {
-                        resolve({ name: path, fd, removeCallback: cleanupCallback });
-                    }
-                });
-            });
-            if ("/README.md" in Object.keys(this_model_manifest_cache["https"])) {
-                let https_url = this_model_manifest_cache["https"]["/README.md"]["url"];
-                let https_test_file = await this.download_https(https_url, this_temp_file.name);
-                let https_test = fs.readFileSync(https_test_file, 'utf8');
-                https_test = https_test.length > 0;
-            }
-        } catch (e) {
-            https_test = e;
-        }
-
-        let timestamp_3 = Date.now();
-
-        let timestamps = {
-            "ipfs": timestamp_1 - timestamp_0,
-            "s3": timestamp_2 - timestamp_1,
-            "https": timestamp_3 - timestamp_2,
-            "local": 0
-        };
-
-        let test = {
-            "ipfs": ipfs_test,
-            "s3": s3_test,
-            "https": https_test,
-            "local": local_test
-        };
-
-        let download_src = null;
-        let fastest = Object.keys(timestamps).reduce((a, b) => timestamps[a] < timestamps[b] ? a : b);
-
-        while (test[fastest] === false || test[fastest] !== true) {
-            delete timestamps[fastest];
-            fastest = Object.keys(timestamps).reduce((a, b) => timestamps[a] < timestamps[b] ? a : b);
-        }
-
-        if (test[fastest] === true) {
-            download_src = fastest;
-        } else {
-            download_src = null;
-        }
-
-
-        if (download_src === null) {
-            throw new Error("Model not found");
-        } else {
-            let file_list = Object.keys(this_model_manifest_folder_data);
-            let file_success = {};
-            for (let file of file_list) {
-                if (!file.startsWith("/")) {
-                    file = "/" + file;
-                }
-                let suffix = null;
-                if (file.includes(".")) {
-                    suffix = "." + file.split(".").pop();
-                } else {
-                    fs.mkdirSync("/tmp/"+file, { recursive: true });
-                }
-                let this_download_src = download_src;
-                let this_file_size = this_model_manifest_folder_data[file]["size"];
-                let this_file_md5 = this_model_manifest_folder_data[file].hasOwnProperty("md5") ? this_model_manifest_folder_data[file]["md5"] : null;
-                let this_tmp_file = "/tmp/" + file.split("/").slice(1).join("/");
-                let this_local_file = this.local_path + "/" + this_model_manifest["id"] + this_model_manifest_cache["local"][file]["path"].slice(1);
-                let this_local_file_size = null;
-                let this_local_file_md5 = null;
-                if (fs.existsSync(this_local_file)) {
-                    this_local_file_size = fs.statSync(this_local_file).size;
-                    this_local_file_md5 = child_process.execSync("md5sum " + this_local_file).toString().split(" ")[0];
-                }
-                if ((file === "/README.md" || file === "/manifest.json") || (this_file_size === this_local_file_size || this_file_size === null) && (this_file_md5 === this_local_file_md5 || this_file_md5 === null)) {
-                    file_success[file] = true;
-                } else {
-                    // Implement the download_ipfs, download_s3, and download_https methods here
-                }
-            }
-            if (Object.values(file_success).every(value => value === true)) {
-                if (!fs.existsSync(this.local_path + "/" + this_model_manifest["id"])) {
-                    fs.mkdirSync(this.local_path + "/" + this_model_manifest["id"], { recursive: true });
-                }
-                for (let file of file_list) {
-                    if (file.startsWith("/")) {
-                        file = file.slice(1);
-                    }
-                    let src_path = "/tmp/" + file;
-                    let dst_path = this.local_path + "/" + this_model_manifest["id"] + "/" + file;
-                    if (!fs.existsSync(dst_path) && fs.existsSync(src_path)) {
-                        if (fs.lstatSync(src_path).isDirectory()) {
-                            fs.mkdirSync(dst_path, { recursive: true });
-                            child_process.execSync("cp -r " + src_path + "/* " + dst_path);
-                            child_process.execSync("rm -r " + src_path);
-                        } else {
-                            fs.renameSync(src_path, dst_path);
-                        }
-                    }
-                }
-                return this_model_manifest;
-            } else {
-                throw new Error("Model not found");
-            }
-        }
-    }
-
-    async ls_models() {
-        let ipfs_keys = [];
-        let s3_keys = [];
-        let local_keys = [];
-        let https_keys = [];
-        if (this.ipfs_collection !== null && _.isObject(this.s3_collection)) {
-            ipfs_keys = Object.keys(this.ipfs_collection);
-        }
-        if (this.s3_collection !== null && _.isObject(this.s3_collection)) {
-            s3_keys = Object.keys(this.s3_collection);
-        }
-        if (this.local_collection !== null && _.isObject(this.s3_collection)) {
-            local_keys = Object.keys(this.local_collection);
-        }
-        if (this.https_collection !== null && _.isObject(this.s3_collection)) {
-            https_keys = Object.keys(this.https_collection);
-        }
-        let all_keys = _.union(ipfs_keys, s3_keys, local_keys, https_keys);
-        all_keys = _.without(all_keys, "cache", "error");
-        return all_keys;
-    }
-
-
-    async ls_s3_models() {
-        let ls_models = this.ls_models();
-        let s3_models = {};
-        let timestamps = {};
-        let this_collection;
-        let collections = {
-            'ipfs': this.ipfs_collection,
-            's3': this.s3_collection,
-            'local': this.local_collection,
-            'https': this.https_collection
-        };
-
-        for (let key in collections) {
-            if (_.isObject(collections[key]) && collections[key].hasOwnProperty('cache') && collections[key]['cache'].hasOwnProperty('timestamp')) {
-                timestamps[key] = collections[key]['cache']['timestamp'];
-            }
-        }
-
-        if (Object.keys(timestamps).length !== 0) {
-            let newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-            this_collection = collections[newest];
-        } else {
-            for (let key in collections) {
-                if (Object.keys(collections).includes(key) && collections[key] != undefined && !collections[key].hasOwnProperty('error')) {
-                    this_collection = collections[key];
-                    for (let model of ls_models) {
-                        if (this_collection.hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                            let results = this.checkS3(this_collection[model]);
-                            if (results !== null && results !== false) {
-                                s3_models[model] = results;
-                            }
-                        }
-                    }            
-                    break;
-                }
-            }
-        }
-
-        this.s3_models = s3_models;
-        return s3_models;
-    }
-
-    async ls_local_models(kwargs) {
-        let lsModels = this.ls_models();
-        let localModels = {};
-        let timestamps = {};
-    
-        if (typeof this.ipfsCollection === 'object' && 'cache' in this.ipfsCollection) {
-            if ('timestamp' in this.ipfsCollection.cache) {
-                let ipfsTimestamp = this.ipfsCollection.cache.timestamp;
-                timestamps.ipfs = ipfsTimestamp;
-            }
-        }
-        if (typeof this.s3Collection === 'object' && 'cache' in this.s3Collection) {
-            if ('timestamp' in this.s3Collection.cache) {
-                let s3Timestamp = this.s3Collection.cache.timestamp;
-                timestamps.s3 = s3Timestamp;
-            }
-        }
-        if (typeof this.localCollection === 'object' && 'cache' in this.localCollection) {
-            if ('timestamp' in this.localCollection.cache) {
-                let localTimestamp = this.localCollection.cache.timestamp;
-                timestamps.local = localTimestamp;
-            }
-        }
-        if (typeof this.httpsCollection === 'object' && 'cache' in this.httpsCollection) {
-            if ('timestamp' in this.httpsCollection.cache) {
-                let httpsTimestamp = this.httpsCollection.cache.timestamp;
-                timestamps.https = httpsTimestamp;
-            }
-        }
-    
-        let thisCollection;
-        if (Object.keys(timestamps).length !== 0) {
-            let newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-            if (newest === 'local') {
-                thisCollection = this.localCollection;
-            } else if (newest === 's3') {
-                thisCollection = this.s3Collection;
-            } else if (newest === 'ipfs') {
-                thisCollection = this.ipfsCollection;
-            } else if (newest === 'https') {
-                thisCollection = this.httpsCollection;
-            }
-        } else {
-            if (!('error' in this.localCollection)) {
-                thisCollection = this.localCollection;
-            } else if (!('error' in this.s3Collection)) {
-                thisCollection = this.s3Collection;
-            } else if (!('error' in this.httpsCollection)) {
-                thisCollection = this.httpsCollection;
-            } else if (!('error' in this.ipfsCollection)) {
-                thisCollection = this.ipfsCollection;
-            }
-        }
-    
-        for (let model of lsModels) {
-            let collections = [thisCollection, this.localCollection, this.s3Collection, this.ipfsCollection, this.httpsCollection];
-            for (let collection of collections) {
-                if (model in collection && model !== 'cache' && model !== 'error') {
-                    let thisFolderData = collection[model].folderData;
-                    let results = this.checkLocal(collection[model]);
-                    if (results !== null && results !== false) {
-                        localModels[model] = results;
-                    }
-                }
-            }
-        }
-    
-        this.localModels = localModels;
-        return localModels;
-    }
-
-    async ls_https_models() {
-        let ls_models = this.ls_models();
-        let https_models = {};
-        let timestamps = {};
-        let this_collection;
-        let collections = {
-            'ipfs': this.ipfs_collection,
-            's3': this.s3_collection,
-            'local': this.local_collection,
-            'https': this.https_collection
-        };
-
-        for (let key in collections) {
-            if (_.isObject(collections[key]) && collections[key].hasOwnProperty('cache') && collections[key]['cache'].hasOwnProperty('timestamp')) {
-                timestamps[key] = collections[key]['cache']['timestamp'];
-            }
-        }
-
-        if (Object.keys(timestamps).length !== 0) {
-            let newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-            this_collection = collections[newest];
-        } else {
-            for (let key in collections) {
-                if (Object.keys(collections).includes(key) && collections[key] != undefined && !collections[key].hasOwnProperty('error')) {
-                    this_collection = collections[key];
-                    break;
-                }
-            }
-        }
-
-        for (let model of ls_models) {
-            if (this_collection.hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                let results = this.check_https(this_collection[model]);
-                if (results !== null && results !== false) {
-                    https_models[model] = results;
-                }
-            } else {
-                for (let key in collections) {
-                    if (Object.keys(collections).includes(key) && collections[key] != undefined && !collections[key].hasOwnProperty('error')) {
-                        this_collection = collections[key];
-                        for (let model of ls_models) {
-                            if (this_collection.hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                                let results = this.checkS3(this_collection[model]);
-                                if (results !== null && results !== false) {
-                                    s3_models[model] = results;
-                                }
-                            }
-                        }            
-                        break;
-                    }
-                }
-            }
-        }
-
-        this.https_models = https_models;
-        return https_models;
-    }
-
-
-    async ls_ipfs_models() {
-        let ls_models = await this.ls_models();
-        let ipfs_models = {};
-        let timestamps = {};
-        let this_collection;
-        let collections = {
-            'ipfs': this.ipfs_collection,
-            's3': this.s3_collection,
-            'local': this.local_collection,
-            'https': this.https_collection
-        };
-
-        for (let key in collections) {
-            if (_.isObject(collections[key]) && collections[key].hasOwnProperty('cache') && collections[key]['cache'].hasOwnProperty('timestamp')) {
-                timestamps[key] = collections[key]['cache']['timestamp'];
-            }
-        }
-
-        if (Object.keys(timestamps).length !== 0) {
-            let newest = Object.keys(timestamps).reduce((a, b) => timestamps[a] > timestamps[b] ? a : b);
-            this_collection = collections[newest];
-        } else {
-            for (let key in collections) {
-                if (Object.keys(collections).includes(key) && collections[key] != undefined && !collections[key].hasOwnProperty('error')) {
-                    this_collection = collections[key];
-                    for (let model of ls_models) {
-                        if (this_collection.hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                            let results = this.checkIpfs(this_collection[model]);
-                            if (results !== null && results !== false) {
-                                s3_models[model] = results;
-                            }
-                        }
-                    }            
-                    break;        
-                }
-            }
-        }
-
-        for (let model of ls_models) {
-            if (this_collection.hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                let results = this.check_ipfs(this_collection[model]);
-                if (results !== null && results !== false) {
-                    ipfs_models[model] = results;
-                }
-            } else {
-                for (let key in collections) {
-                    if (collections[key].hasOwnProperty(model) && model !== "cache" && model !== "error") {
-                        let results = this.check_ipfs(collections[key][model]);
-                        if (results !== null && results !== false) {
-                            ipfs_models[model] = results;
-                        }
-                        break;
-                    }
-                }
-            }
-        }
-
-        this.ipfs_models = ipfs_models;
-        return ipfs_models;
-    }
-
-    async state(kwargs = {}) {
-        const timestamp = Date.now() / 1000;
-        const one_hour_ago = timestamp - 3600;
-        const one_day_ago = timestamp - 86400;
-        const ten_days_ago = timestamp - 8640000;
-
-        try {
-            if (fs.existsSync(path.join(this.ipfsPath, "state.json"))) {
-                const state_mtime = fs.statSync(path.join(this.ipfsPath, "state.json")).mtime.getTime() / 1000;
-                if (state_mtime > one_day_ago) {
-                    this.last_update = state_mtime;
-                    this.models = JSON.parse(fs.readFileSync(path.join(this.ipfsPath, "state.json"), 'utf8'));
-                    this.last_update = timestamp;
-                }
-            } else {
-                execSync(`touch ${path.join(this.ipfsPath, "state.json")}`);
-            }
-        } catch (e) {
-            this.models = {};
-        }
-        let src = kwargs.hasOwnProperty("src") ? kwargs["src"] : "all";
-
-        if (src !== "all") {
-            if (src === "s3") {
-                this.models["s3_models"] = this.ls_s3_models();
-            } else if (src === "ipfs") {
-                this.ipfs_pinset = this.ipfsKit.ipfsGetPinset();
-                this.models["ipfs_models"] = this.ls_ipfs_models();
-            } else if (src === "local") {
-                this.models["local_models"] = this.ls_local_models();
-            } else if (src === "https") {
-                this.models["https_models"] = this.ls_https_models();
-            }
-        } else {
-            if (this.last_update < ten_days_ago) {
-                this.loadCollection();
-                this.models["s3_models"] = this.ls_s3_models();
-                this.models["ipfs_models"] = this.ls_ipfs_models();
-                this.models["local_models"] = this.ls_local_models();
-                this.models["https_models"] = this.ls_https_models();
-                this.ipfs_pinset = this.ipfsKit.ipfsGetPinset();
-                this.last_update = timestamp;
-            }
-        }
-        
-        if (this.models.hasOwnProperty("s3Models")) {
-            this.models["s3_models"] = this.models["s3Models"];
-            delete this.models["s3Models"];
-        }
-        if (this.models.hasOwnProperty("ipfsModels")) {
-            this.models["ipfs_models"] = this.models["ipfsModels"];
-            delete this.models["ipfsModels"];
-        }
-        if (this.models.hasOwnProperty("httpsModels")) {
-            this.models["https_models"] = this.models["httpsModels"];
-            delete this.models["httpsModels"];
-        }
-        if (this.models.hasOwnProperty("localModels")) {
-            this.models["local_models"] = this.models["localModels"];
-            delete this.models["localModels"];
-        }
-        
-        for (let model in this.collection) {
-            if (model !== "cache") {
-                let this_model = this.collection[model];
-                let cache = this_model["cache"];
-                if (cache.hasOwnProperty("ipfs")) {
-                    let ipfs = cache["ipfs"];
-                    for (let file in ipfs) {
-                        let this_file = ipfs[file];
-                        if (this_file.hasOwnProperty("path")) {
-                            let path = this_file["path"];
-                            if (!this.collection_pins.includes(path)) {
-                                if (this.ipfs_pinset["ipfs"].hasOwnProperty(path)) {
-                                    let pin_type = this.ipfs_pinset["ipfs"][path];
-                                    if (pin_type !== "indirect") {
-                                        this.collection_pins.push(path);
-                                    }
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-        }
-
-        const stringified_models = JSON.stringify(this.models);
-        const models_md5 = crypto.createHash('md5').update(stringified_models).digest('hex');
-        let state_json_md5;
-
-        try {
-            const state_json = JSON.parse(fs.readFileSync(path.join(this.ipfsPath, "state.json"), 'utf8'));
-            state_json_md5 = crypto.createHash('md5').update(JSON.stringify(state_json)).digest('hex');
-        } catch (e) {
-            fs.writeFileSync(path.join(this.ipfsPath, "state.json"), stringified_models);
-            state_json_md5 = crypto.createHash('md5').update(fs.readFileSync(path.join(this.ipfsPath, "state.json"), 'utf8')).digest('hex');
-        }
-
-        if (models_md5 !== state_json_md5) {
-            fs.writeFileSync(path.join(this.ipfsPath, "state.json"), stringified_models);
-        }
-
-        return this.models;
-    }
-
-    async evict_local(model, kwargs = {}) {
-        const local_model_path = path.join(this.local_path, model);
-        if (fs.existsSync(local_model_path)) {
-            rimraf.sync(local_model_path);
-        }
-        return true;
-    }
-
-    async evict_s3(model, kwargs = {}) {
-        const s3_model_path = this.collection[model]["cache"]["s3"];
-        const s3_model_url = s3_model_path[0]["url"];
-        const s3_model_path_parts = s3_model_url.split("/");
-        const s3_model_bucket = s3_model_path_parts[2];
-        const s3_model_dir = s3_model_path_parts[3];
-        const results = await this.s3_kit.deleteObject({
-            Bucket: s3_model_bucket,
-            Key: s3_model_dir
-        }).promise();
-        return results;
-    }
-
-    async evict_models(kwargs = {}) {
-        const ls_models = this.ls_models();
-        const history = this.history();
-        const current_timestamp = Date.now() / 1000;
-    
-        for (const model of ls_models) {
-            if (this.models["local_models"].hasOwnProperty(model)) {
-                const this_model_timestamp = this.models["local_models"][model];
-                const this_history_timestamp = new Date(history[model]).getTime() / 1000;
-                if (current_timestamp - this_model_timestamp > this.timing["local_time"] && current_timestamp - this_history_timestamp > this.timing["local_time"]) {
-                    await this.evict_local(model);
-                    delete this.models["local_models"][model];
-                }
-            } else if (this.models["s3_models"].hasOwnProperty(model)) {
-                const this_model_timestamp = this.models["s3_models"][model];
-                const this_history_timestamp = new Date(history[model]).getTime() / 1000;
-                if (current_timestamp - this_model_timestamp > this.timing["s3_time"] && current_timestamp - this_history_timestamp > this.timing["s3_time"]) {
-                    await this.evict_s3(model);
-                    delete this.models["s3_models"][model];
-                }
-            }
-        }
-    
-        for (const model in this.models["local_models"]) {
-            if (!ls_models.includes(model)) {
-                await this.evict_local(model);
-                delete this.models["local_models"][model];
-            }
-        }
-    
-        for (const model in this.models["s3_models"]) {
-            if (!ls_models.includes(model)) {
-                await this.evict_s3(model);
-                delete this.models["s3_models"][model];
-            }
-        }
-    
-        const results = {
-            "s3_models": this.models["s3_models"],
-            "ipfs_models": this.models["ipfs_models"],
-            "local_models": this.models["local_models"],
-            "https_models": this.models["https_models"]
-        };
-    
-        return results;
-    }
-
-
-    async check_history_models(kwargs = {}) {
-        const ls_models = this.ls_models();
-        const current_timestamp = Date.now() / 1000;
-        const history_json_path = path.join(this.ipfsPath, "history.json");
-    
-        if (Object.keys(this.history_models).length === 0) {
-            if (fs.existsSync(history_json_path)) {
-                try {
-                    this.history_models = JSON.parse(fs.readFileSync(history_json_path, 'utf8'));
-                } catch (e) {
-                    fs.writeFileSync(history_json_path, JSON.stringify({}));
-                }
-            }
-        }
-    
-        for (const model of ls_models) {
-            if (!this.history_models.hasOwnProperty(model)) {
-                this.history_models[model] = null;
-            }
-    
-            if (this.history_models[model] !== null) {
-                const this_model_timestamp = new Date(this.history[model]).getTime() / 1000;
-                if (current_timestamp - this_model_timestamp > 60) {
-                    this.history_models[model] = null;
-                }
-            }
-        }
-    
-        for (const model in this.history_models) {
-            if (!ls_models.includes(model)) {
-                delete this.history_models[model];
-            }
-        }
-    
-        const history_json_mtime = fs.existsSync(history_json_path) ? fs.statSync(history_json_path).mtime.getTime() / 1000 : null;
-        if (!history_json_mtime || current_timestamp - history_json_mtime > 60) {
-            fs.writeFileSync(history_json_path, JSON.stringify(this.history_models));
-        }
-    
-        return this.history_models;
-    }
-
-
-    async check_zombies(kwargs = {}) {
-        const ls_models = this.ls_models();
-        const local_files = fs.readdirSync(this.local_path, { withFileTypes: true });
-        const ls_local_files = [];
-        const collection_files = ["collection.json"];
-        const zombies = {};
-    
-        local_files.forEach(file => {
-            if (file.isFile()) {
-                let tmp_filename = path.join(this.local_path, file.name);
-                tmp_filename = tmp_filename.split(path.sep).slice(3).join(path.sep);
-                const split_tmp_filename = tmp_filename.split(path.sep);
-                if (split_tmp_filename.length > 1 && !tmp_filename.includes("ipfs") && !tmp_filename.includes("cloudkit")) {
-                    ls_local_files.push(tmp_filename);
-                }
-            }
-        });
-    
-        for (const model in this.collection) {
-            if (model !== "cache") {
-                const this_model = this.collection[model];
-                const this_folder_name = this_model["id"];
-                const this_folder_data = this_model["folderData"];
-                this_folder_data.forEach(file => {
-                    collection_files.push(this_folder_name + file);
-                });
-            }
-        }
-    
-        const s3_files = await this.s3_kit.s3_ls_dir("", this.s3cfg["bucket"]);
-        const s3_file_names = s3_files.map(file => file["key"]);
-        const ipfs_files = await this.ipfs_kit.ipfs_ls_path("/");
-        const ipfs_file_names = ipfs_files["ipfs_ls_path"].map(file => file["name"]);
-    
-        const collection_pins = this.collection_pins;
-    
-        const compare_s3_files = s3_file_names.filter(x => !collection_files.includes(x));
-        zombies["s3"] = compare_s3_files;
-        const compare_local_files = ls_local_files.filter(x => !collection_files.includes(x));
-        zombies["local"] = compare_local_files;
-        const compare_ipfs_files = ipfs_file_names.filter(x => !collection_files.includes(x));
-        zombies["ipfs_files"] = compare_ipfs_files;
-        const compare_ipfs_pins = collection_pins.filter(x => !this.ipfs_pinset.includes(x));
-        zombies["ipfs"] = compare_ipfs_pins;
-    
-        this.zombies = zombies;
-        return zombies;
-    }
-
-    async rand_history(kwargs = {}) {
-        const history = this.history_models;
-        const two_weeks_ago = Date.now() / 1000 - 14 * 24 * 60 * 60;
-        const two_days_ago = Date.now() / 1000 - 2 * 24 * 60 * 60;
-        const now = Date.now() / 1000;
-    
-        for (const model in history) {
-            const random_float = Math.random();
-            const random_timestamp = ((now - two_weeks_ago) * random_float) + two_weeks_ago;
-            history[model] = random_timestamp;
-        }
-    
-        this.history_models = history;
-        return history;
-    }
-
-    async check_expired(kwargs = {}) {
-        const ls_models = this.ls_models();
-        const current_timestamp = Date.now() / 1000;
-        const expired = {
-        "local" : [],
-        "s3" : [],
-        "ipfs": [],
-        };
-    
-        for (const model of ls_models) {
-            if ("local_models" in this.models && model in this.models["local_models"]) {
-                const this_model_timestamp = this.models["local_models"][model];
-                if (current_timestamp - this_model_timestamp > this.timing["local_time"] && current_timestamp - this.history_models[model] > this.timing["local_time"]) {
-                    expired["local"].push(model);
-                }
-            }
-            if ("s3Models" in this.models && model in this.models["s3Models"]) {
-                const this_model_timestamp = this.models["s3Models"][model];
-                if (current_timestamp - this_model_timestamp > this.timing["s3_time"] && current_timestamp - this.history_models[model] > this.timing["s3_time"]) {
-                    expired["s3"].push(model);
-                }
-            }
-            if ("s3_models" in this.models && model in this.models["s3_models"]) {
-                const this_model_timestamp = this.models["s3_models"][model];
-                if (current_timestamp - this_model_timestamp > this.timing["s3_time"] && current_timestamp - this.history_models[model] > this.timing["s3_time"]) {
-                    expired["s3"].push(model);
-                }
-            }
-        }
-    
-        this.expired = expired;
-        return this.expired;
-    }
-
-    async check_pinned_models(kwargs = {}) {
-        const ls_models = this.ls_models();
-        while (Object.keys(this.pinnedModels).length < 5) {
-            const random_number = Math.random();
-            const calculate = Math.round(random_number * ls_models.length);
-            if (calculate < ls_models.length) {
-                const chosen_model = ls_models[calculate];
-                this.pinnedModels[chosen_model] = Date.now() / 1000;
-            }
-        }
-        // remove later and get data from orchestrator
-        return this.pinned;
-    }
-
-    async check_not_found(kwargs = {}) {
-        const ls_models = this.ls_models();
-        const not_found = {
-            "local" : [],
-            "s3" : [],
-        };
-
-        for (const model in this.history_models) {
-            const current_time = Date.now() / 1000;
-            const time_delta = current_time - this.history_models[model];
-            if (time_delta < this.timing["local_time"]) {
-                if ("local_models" in this.models && !(model in this.models["local_models"])) {
-                    not_found["local"].push(model);
-                }
-                if ("s3_models" in this.models && !(model in this.models["s3_models"])) {
-                    not_found["s3"].push(model);
-                }
-            }
-        }
-  
-        for (const model in this.pinnedModels) {
-            if ("local_models" in this.models && !(model in this.models["local_models"])) {
-                not_found["local"].push(model);
-            }
-            if ("s3_models" in this.models && !(model in this.models["s3_models"])) {
-                not_found["s3"].push(model);
-            }
-        }
-  
-        this.not_found = not_found;
-        return this.not_found;
-    }
-
-    async download_missing(kwargs = {}) {
-        const current_timestamp = Date.now() / 1000;
-        const not_found = this.check_not_found();
-        for (const model of not_found["local"]) {
-            if (model in this.pinnedModels) {
-                this.download_model(model);
-                this.models["local_models"][model] = Date.now() / 1000;
-            } else if (this.history_models[model] > current_timestamp - this.timing["local_time"]) {
-                this.download_model(model);
-                this.models["local_models"][model] = Date.now() / 1000;
-            }
-        }
-        for (const model of not_found["s3"]) {
-            if (model in this.pinnedModels) {
-                this.s3_kit.s3_ul_dir(this.local_path + "/" + model, this.s3cfg["bucket"], this.models["s3_models"][model]["folderData"]);
-                this.models["s3_models"][model] = Date.now() / 1000;
-            } else if (this.history_models[model] > current_timestamp - this.timing["s3_time"]) {
-                this.s3_kit.s3_ul_dir(this.local_path + "/" + model, this.s3cfg["bucket"], this.models["s3_models"][model]["folderData"]);
-                this.models["s3_models"][model] = Date.now() / 1000;
-            }
-        }
-        return null;
-    }
-
-    async evict_expired_models(kwargs = {}) {
-        const current_timestamp = Date.now() / 1000;
-        const expired = this.expired;
-        for (const model of expired["local"]) {
-        this.evict_local(model);
-        delete this.models["local_models"][model];
-        }
-        for (const model of expired["s3"]) {
-        this.evict_s3(model);
-        delete this.models["s3_models"][model];
-        }
-        return null;
-    }
-    
-    async  evict_zombies(kwargs = {}) {
-        const zombies = this.zombies;
-        for (const file of zombies["local"]) {
-            fs.unlinkSync(path.join(this.local_path, file));
-        }
-        for (const file of zombies["s3"]) {
-            this.s3_kit.s3_rm_file(file, this.s3cfg["bucket"]);
-        }
-        return null;
-    }
-
-    async test(kwargs = {}) {
-        await this.loadCollectionCache();
-        await this.state();
-        await this.state({src: "s3"});
-        await this.state({src: "local"});
-        await this.state({src: "ipfs"});
-        await this.state({src: "https"});
-        await this.check_pinned_models();
-        await this.check_history_models();
-        await this.rand_history();
-        await this.check_zombies();
-        await this.check_expired();
-        await this.check_not_found();
-        // this.download_model('gte-small');
-        // this.download_model('stablelm-zephyr-3b-GGUF-Q2_K');
-        await this.download_missing();
-        await this.evict_expired_models();
-        await this.evict_zombies();
-        return this;
-    }
-
-}
-
-const endpoint = "https://object.ord1.coreweave.com"
-const access_key = "CWVFBNRZEEDYTAUM"
-const secret_key = "cwoBNj1ILmRGxcm18EsWE5Qth4hVtmtNJPkLVW2AETU"
-const host_bucket = "%(bucket)s.object.ord1.coreweave.com"
-const bucket = "cloudkit-beta";
-const ipfs_src = "QmXBUkLywjKGTWNDMgxknk6FJEYu9fZaEepv3djmnEqEqD";
-const s3cfg = {
-    "endpoint": endpoint,
-    "accessKey": access_key,
-    "secretKey": secret_key,
-    "hostBucket": host_bucket,   
-    "bucket": bucket
-};
-const cluster_name = "cloudkit_storage";
-//let ipfs_path = "/storage/";
-const local_path = "/storage/cloudkit-models";
-//ipfs_path = "/storage/ipfs/";
-const ten_mins = 600;
-const ten_hours = 36000;
-const ten_days = 864000;
-const never =  100000000;
-const role = "worker";
-const cache = {
-    "local": "/storage/cloudkit-models/collection.json",
-    "s3": "s3://cloudkit-beta/collection.json",
-    "ipfs": ipfs_src,
-    "https": "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-};
-const timing = {
-    "local_time": ten_mins,
-    "s3_time": ten_hours,
-    "ipfsTime": ten_days,
-    "httpsTime": never,
-};
-const meta = {
-    "s3cfg": s3cfg,
-    "ipfs_src": ipfs_src,
-    "timing": timing,
-    "cache": cache,
-    "role": role,
-    "cluster_name": cluster_name,
-    //"ipfs_path": ipfs_path,
-    //"local_path": local_path,
-    //"ipfs_path": ipfs_path
-};
-
-const models_manager = new ModelManager(null, meta);
-const results = await models_manager.test();
-console.log(results);
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_api.json b/huggingface_scraper/modeldata/generate_api.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_api.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_dataset.json b/huggingface_scraper/modeldata/generate_dataset.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_dataset.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_diffusion.json b/huggingface_scraper/modeldata/generate_diffusion.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_diffusion.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_hf_embed.json b/huggingface_scraper/modeldata/generate_hf_embed.json
deleted file mode 100644
index f250bb5..0000000
--- a/huggingface_scraper/modeldata/generate_hf_embed.json
+++ /dev/null
@@ -1,111 +0,0 @@
-{   
-    "gte-tiny" : {
-        "modelName": "gte-tiny",
-        "format": "hf",
-        "parameters": 26843545,
-        "source": "https://huggingface.co/TaylorAI/gte-tiny",
-        "contextSize": 512,
-        "dimensions": 384,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "gte-large" : {
-        "modelName": "gte-large",
-        "format": "hf",
-        "parameters": 359703511,
-        "source": "https://huggingface.co/thenlper/gte-large",
-        "contextSize": 512,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "gte-base" : {
-        "modelName": "gte-base",
-        "format": "hf",
-        "parameters": 118111600,
-        "source": "https://huggingface.co/thenlper/gte-base",
-        "contextSize": 512,
-        "dimensions": 768,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "gte-small" : {
-        "modelName": "gte-small",
-        "format": "hf",
-        "parameters": 37580963,
-        "source": "https://huggingface.co/thenlper/gte-small",
-        "contextSize": 512,
-        "dimensions": 384,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "UAE-Large-V1" : {
-        "modelName": "UAE-Large-V1",
-        "format": "hf",
-        "parameters": 1421952942,
-        "source": "https://huggingface.co/WhereIsAI/UAE-Large-V1",
-        "contextSize": 512,
-        "dimensions": 1024,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "bge-large-en-v1.5" : {
-        "modelName": "bge-large-en-v1.5",
-        "format": "hf",
-        "parameters":1421952942,
-        "source": "https://huggingface.co/BAAI/bge-large-en-v1.5",
-        "contextSize": 512,
-        "dimensions": 1024,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "bge-base-en-v1.5" : {
-        "modelName": "bge-base-en-v1.5",
-        "format": "hf",
-        "parameters": 236223201 ,
-        "source": "https://huggingface.co/BAAI/bge-base-en-v1.5",
-        "contextSize": 512,
-        "dimensions": 768,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "bge-small-en-v1.5" : {
-        "modelName": "bge-small-en-v1.5",
-        "format": "hf",
-        "parameters": 80530636,
-        "source": "https://huggingface.co/BAAI/bge-small-en-v1.5",
-        "contextSize": 512,
-        "dimensions": 384,
-        "contentType": "text",
-        "templates": ["embed"]
-    },
-    "instructor-xl" : {
-        "modelName": "instructor-xl",
-        "format": "hf",
-        "parameters": 2684354560,
-        "source": "https://huggingface.co/hkunlp/instructor-xl",
-        "contextSize": 512,
-        "dimensions": 768,
-        "contentType": "text",
-        "templates": ["instruct-embed"]
-    },
-    "instructor-large" : {
-        "modelName": "instructor-large",
-        "format": "hf",
-        "parameters": 1421952942,
-        "source": "https://huggingface.co/hkunlp/instructor-large",
-        "contextSize": 512,
-        "dimensions": 768,
-        "contentType": "text",
-        "templates": ["instruct-embed"]
-    },
-    "instructor-base" : {
-        "modelName": "instructor-base",
-        "format": "hf",
-        "parameters": 236223201,
-        "source": "https://huggingface.co/hkunlp/instructor-base",
-        "contextSize": 512,
-        "dimensions": 768,
-        "contentType": "text",
-        "templates": ["instruct-embed"]
-    }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_hf_faster_whisper.json b/huggingface_scraper/modeldata/generate_hf_faster_whisper.json
deleted file mode 100644
index 82870c2..0000000
--- a/huggingface_scraper/modeldata/generate_hf_faster_whisper.json
+++ /dev/null
@@ -1,56 +0,0 @@
-{   
-    "faster-whisper-large-v3" : {
-        "modelName": "faster-whisper-large-v3",
-        "format": "hf",
-        "parameters": 1658931118,
-        "source": "https://huggingface.co/Systran/faster-whisper-large-v3"
-    },
-    "faster-whisper-medium" : {
-        "modelName": "faster-whisper-medium",
-        "format": "hf",
-        "parameters": 821412495,
-        "source": "https://huggingface.co/Systran/faster-whisper-medium"
-    },
-    "faster-whisper-base" : {
-        "modelName": "faster-whisper-base",
-        "format": "hf",
-        "parameters": 76021760,
-        "source": "https://huggingface.co/Systran/faster-whisper-base"
-    },
-    "faster-whisper-tiny" : {
-        "modelName": "faster-whisper-tiny",
-        "format": "hf",
-        "parameters": 39321600,
-        "source": "https://huggingface.co/Systran/faster-whisper-tiny"
-    },
-    "faster-whisper-small" : {
-        "modelName": "faster-whisper-small",
-        "format": "hf",
-        "parameters": 253755392,
-        "source": "https://huggingface.co/Systran/faster-whisper-small"
-    },
-    "faster-whisper-medium.en" : {
-        "modelName": "faster-whisper-medium.en",
-        "format": "hf",
-        "parameters": 821412495,
-        "source": "https://huggingface.co/Systran/faster-whisper-medium.en"
-    },
-    "faster-whisper-base.en" : {
-        "modelName": "faster-whisper-base.en",
-        "format": "hf",
-        "parameters": 76021760,
-        "source": "https://huggingface.co/Systran/faster-whisper-base.en"
-    },
-    "faster-whisper-tiny.en" : {
-        "modelName": "faster-whisper-tiny.en",
-        "format": "hf",
-        "parameters": 39321600,
-        "source": "https://huggingface.co/Systran/faster-whisper-tiny.en"
-    },
-    "faster-whisper-small.en" : {
-        "modelName": "faster-whisper-small.en",
-        "format": "hf",
-        "parameters": 253755392,
-        "source": "https://huggingface.co/Systran/faster-whisper-small.en"
-    }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_hf_lm.json b/huggingface_scraper/modeldata/generate_hf_lm.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_hf_lm.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_hf_t5.json b/huggingface_scraper/modeldata/generate_hf_t5.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_hf_t5.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_hf_transformers.json b/huggingface_scraper/modeldata/generate_hf_transformers.json
deleted file mode 100644
index 1f53e24..0000000
--- a/huggingface_scraper/modeldata/generate_hf_transformers.json
+++ /dev/null
@@ -1,82 +0,0 @@
-{ 
-    "T0" : {
-        "modelName": "T0",
-        "format": "hf",
-        "parameters": 11811160064,
-        "source": "https://huggingface.co/bigscience/T0",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "T0_3B" : {
-        "modelName": "T0_3B",
-        "format": "hf",
-        "parameters": 3221225472,
-        "source": "https://huggingface.co/bigscience/T0_3B",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "T0p" : {
-        "modelName": "T0p",
-        "format": "hf",
-        "parameters": 11811160064,
-        "source": "https://huggingface.co/bigscience/T0p",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "T0pp" : {
-        "modelName": "T0pp",
-        "format": "hf",
-        "parameters": 11811160064,
-        "source": "https://huggingface.co/bigscience/T0pp",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "t5_11b_trueteacher_and_anli" : {
-        "modelName": "t5_11b_trueteacher_and_anli",
-        "format": "hf",
-        "parameters": 11811160064,
-        "source": "https://huggingface.co/google/t5_11b_trueteacher_and_anli",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "flan-t5-small" : {
-        "modelName": "flan-t5-small",
-        "format": "hf",
-        "parameters": 83886080,
-        "source": "https://huggingface.co/google/flan-t5-small",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "flan-t5-base" : {
-        "modelName": "flan-t5-base",
-        "format": "hf",
-        "parameters": 262144000,
-        "source": "https://huggingface.co/google/flan-t5-base",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "flan-t5-large" : {
-        "modelName": "flan-t5-large",
-        "format": "hf",
-        "parameters": 817889280,
-        "source": "https://huggingface.co/google/flan-t5-large",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "flan-t5-xxl" : {
-        "modelName": "flan-t5-xxl",
-        "format": "hf",
-        "parameters": 11811160064,
-        "source": "https://huggingface.co/google/flan-t5-xxl",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    },
-    "flan-t5-xl" : {
-        "modelName": "flan-t5-xl",
-        "format": "hf",
-        "parameters": 3221225472,
-        "source": "https://huggingface.co/google/flan-t5-xl",
-        "contextSize": 2048,
-        "templates": ["T5"]
-    }
-}
diff --git a/huggingface_scraper/modeldata/generate_knn.json b/huggingface_scraper/modeldata/generate_knn.json
deleted file mode 100644
index 9e26dfe..0000000
--- a/huggingface_scraper/modeldata/generate_knn.json
+++ /dev/null
@@ -1 +0,0 @@
-{}
\ No newline at end of file
diff --git a/huggingface_scraper/modeldata/generate_llama_cpp.json b/huggingface_scraper/modeldata/generate_llama_cpp.json
deleted file mode 100644
index 3092d6c..0000000
--- a/huggingface_scraper/modeldata/generate_llama_cpp.json
+++ /dev/null
@@ -1,171 +0,0 @@
-{ 
-    "stablelm-zephyr-3b-GGUF" : {
-        "modelName": "stablelm-zephyr-3b-GGUF",
-        "format": "gguf",
-        "parameters": 3221225472,
-        "source": "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF",
-        "ropeScale": 1.0,
-        "contextSize": 4096,
-        "templates": ["Zephyr"]
-    },
-    "Airoboros-M-7B-3.1.2-GGUF" : {
-        "modelName": "Airoboros-M-7B-3.1.2-GGUF",
-        "format": "gguf",
-        "parameters": 75161927680,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Airoboros-M-7B-3.1.2-GGUF",
-        "templates" : ["llama-2", "Airoboros-Llama-2-Chat", "Llama-2-Chat", "MathJSON","Context-Instruction","CoT", "Agent/Function", "reWOO"],
-        "ropeScale": 1.0
-    },
-    "Airoboros-L2-13B-3.1.1-GGUF" : {
-        "modelName": "Airoboros-L2-13B-3.1.1-GGUF",
-        "format": "gguf",
-        "parameters": 13958643712,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Airoboros-L2-13B-3.1.1-GGUF",
-        "templates" : ["llama-2", "Airoboros-Llama-2-Chat", "Llama-2-Chat", "MathJSON","Context-Instruction","CoT", "Agent/Function", "reWOO"],
-        "ropeScale": 1.0
-    },
-    "Airoboros-c34B-3.1.2-GGUF" : {
-        "modelName": "Airoboros-c34B-3.1.2-GGUF",
-        "format": "gguf",
-        "parameters": 36507222016,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Airoboros-c34B-3.1.2-GGUF",
-        "templates" : ["llama-2", "Airoboros-Llama-2-Chat", "Llama-2-Chat", "MathJSON","Context-Instruction","CoT", "Agent/Function", "reWOO"],
-        "ropeScale": 1.0
-    },
-    "Airoboros-L2-70B-3.1.2-GGUF" : {
-        "modelName": "Airoboros-L2-70B-3.1.2-GGUF",
-        "format": "gguf",
-        "parameters": 75161927680,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Airoboros-L2-70B-3.1.2-GGUF",
-        "templates" : ["llama-2", "Airoboros-Llama- 2-Chat", "Llama-2-Chat", "MathJSON","Context-Instruction","CoT", "Agent/Function", "reWOO"],
-        "ropeScale": 1.0
-    },    
-    "samantha-mistral-instruct-7B-GGUF" : {
-        "modelName": "samantha-mistral-instruct-7B-GGUF",
-        "format": "gguf",
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/samantha-mistral-instruct-7B-GGUF",
-        "templates" : ["ChatML"],
-        "ropeScale": 1.0
-    }, 
-    "Mistral-7B-v0.1-GGUF" : {
-        "modelName": "Mistral-7B-v0.1-GGUF",
-        "format": "gguf",
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mistral-7B-v0.1-GGUF",
-        "templates" : ["Mistral"],
-        "ropeScale": 1.0
-    }, 
-    "Mistral-7B-Instruct-v0.2-GGUF" : {
-        "modelName": "Mistral-7B-Instruct-v0.2-GGUF",
-        "format": "gguf",
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF",
-        "templates" : ["Mistral"],
-        "ropeScale": 1.0
-    },
-    "Mixtral-8x7B-v0.1-GGUF" : {
-        "modelName": "Mixtral-8x7B-v0.1-GGUF",
-        "format": "gguf",
-        "experts": 8,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF",
-        "templates" : ["Mistral"],
-        "ropeScale": 1.0
-    },
-    "Mixtral-8x7B-Instruct-v0.1-GGUF" : {
-        "modelName": "Mixtral-8x7B-Instruct-v0.1-GGUF",
-        "format": "gguf",
-        "experts": 4,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF",
-        "templates" : ["Mistral"],
-        "ropeScale": 1.0
-    },
-    "Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF" : {
-        "modelName": "Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF",
-        "format": "gguf",
-        "experts": 4,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-GGUF",
-        "templates" : ["Mistral"],
-        "ropeScale": 1.0
-    },
-    "Fennec-Mixtral-8x7B-GGUF" : {
-        "modelName": "Fennec-Mixtral-8x7B-GGUF",
-        "format": "gguf",
-        "experts": 8,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Fennec-Mixtral-8x7B-GGUF",
-        "templates" : ["Llama-2-Chat"],
-        "ropeScale": 1.0
-    },
-    "Mixtral-8x7B-MoE-RP-Story-GGUF" : {
-        "modelName": "Mixtral-8x7B-MoE-RP-Story-GGUF",
-        "format": "gguf",
-        "experts": 8,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mixtral-8x7B-MoE-RP-Story-GGUF",
-        "templates" : ["Alpaca","Vicuna","ChatML","Llama-2 chat"],
-        "ropeScale": 1.0
-    },
-    "Mixtral-4x7B-DPO-RPChat-GGUF" : {
-        "modelName": "Mixtral-4x7B-DPO-RPChat-GGUF",
-        "format": "gguf",
-        "experts": 4,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Mixtral-4x7B-DPO-RPChat-GGUF",
-        "templates" : ["Alpaca"],
-        "ropeScale": 1.0
-    },
-    "Synthia-MoE-v3-Mixtral-8x7B-GGUF" : {
-        "modelName": "Synthia-MoE-v3-Mixtral-8x7B-GGUFF",
-        "format": "gguf",
-        "experts": 8,
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GGUF",
-        "templates" : ["Synthia-CoT"],
-        "ropeScale": 1.0
-    },
-    "law-LLM-13B-GGUF" : {
-        "modelName": "law-LLM-13B-GGUF",
-        "format": "gguf",
-        "parameters": 13958643712,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/law-LLM-13B-GGUF",
-        "templates" : ["LLaMA-2-Chat"],
-        "ropeScale": 1.0
-    },
-    "law-LLM-GGUF" : {
-        "modelName": "law-LLM-GGUF",
-        "format": "gguf",
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/TheBloke/law-LLM-GGUF",
-        "templates" : ["LLaMA-2-Chat"],
-        "ropeScale": 1.0
-    },
-    "cinematika-7b-v0.1" : {
-        "modelName": "cinematika-7b-v0.1",
-        "format": "llama_fp32",
-        "parameters": 7516192768,
-        "contextSize": 4096,
-        "source": "https://huggingface.co/jondurbin/cinematika-7b-v0.1",
-        "templates" : ["mistral-lite"],
-        "ropeScale": 1.0
-    }
-}
diff --git a/huggingface_scraper/orbitdb_kit_lib/import-collection.js b/huggingface_scraper/orbitdb_kit_lib/import-collection.js
deleted file mode 100644
index 78218ab..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/import-collection.js
+++ /dev/null
@@ -1,29 +0,0 @@
-import { WebSocket } from 'ws';
-import fs from 'fs';
-import path from 'path';
-
-const parent_dir = path.dirname("../..");
-const resolve_path = path.resolve(parent_dir)
-const collection_path = path.join(resolve_path, 'collection.json');
-
-export default async function main(collection_path){
-    const ws = new WebSocket('ws://localhost:8080');
-    ws.on('open', () => {
-        let collection = fs.readFileSync(collection_path, 'utf8');
-        let collection_json = JSON.parse(collection);
-        for (let i = 0; i < Object.keys(collection_json).length; i++){
-            let id = Object.keys(collection_json)[i];
-            let content = collection_json[id];
-            ws.send(
-                JSON.stringify({
-                   'insert':{ _id: id, content: content }
-                })
-            )
-        }
-   });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main(collection_path);
\ No newline at end of file
diff --git a/huggingface_scraper/orbitdb_kit_lib/import_hf_dataset.js b/huggingface_scraper/orbitdb_kit_lib/import_hf_dataset.js
deleted file mode 100644
index 8d1c8b6..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/import_hf_dataset.js
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/huggingface_scraper/orbitdb_kit_lib/orbitv3-master.js b/huggingface_scraper/orbitdb_kit_lib/orbitv3-master.js
deleted file mode 100644
index 330c46c..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/orbitv3-master.js
+++ /dev/null
@@ -1,184 +0,0 @@
-import {createOrbitDB, Identities, OrbitDBAccessController} from '@orbitdb/core'
-import {createHelia} from 'helia'
-import {v4 as uuidv4} from 'uuid';
-import {EventEmitter} from "events";
-import {createLibp2p} from 'libp2p'
-import {identify} from '@libp2p/identify'
-import {noise} from '@chainsafe/libp2p-noise'
-import {yamux} from '@chainsafe/libp2p-yamux'
-import {gossipsub} from '@chainsafe/libp2p-gossipsub'
-import {bitswap} from '@helia/block-brokers'
-import {tcp} from '@libp2p/tcp'
-import {mdns} from '@libp2p/mdns'
-import {LevelBlockstore} from 'blockstore-level'
-import {createRequire} from "module";
-import { WebSocketServer } from 'ws'
-
-const require = createRequire(import.meta.url);
-
-const ipfsLibp2pOptions = {
-    transports: [
-        tcp(),
-    ],
-    streamMuxers: [
-        yamux()
-    ],
-    connectionEncryption: [
-        noise()
-    ],
-    peerDiscovery: [
-        mdns({
-            interval: 20e3
-        })
-    ],
-    services: {
-        pubsub: gossipsub({
-            allowPublishToZeroPeers: true
-        }),
-        identify: identify()
-    },
-    connectionManager: {}
-}
-
-EventEmitter.defaultMaxListeners = 20;
-
-let ipfs
-let orbitdb
-let db
-
-async function run() {
-    process.env.LIBP2P_FORCE_PNET = "1"
-    const argv = require('minimist')(process.argv.slice(2))
-    let ipAddress
-    if (!argv.ipAddress) {
-        ipAddress = "127.0.0.1"
-    } else {
-        ipAddress = argv.ipAddress
-    }
-    
-    process.on('SIGTERM', handleTerminationSignal);
-    process.on('SIGINT', handleTerminationSignal);
-    console.info('Script is running. Press CTRL+C to terminate.');
-
-    const libp2p = await createLibp2p({
-        addresses: {
-            listen: [`/ip4/${ipAddress}/tcp/0`]
-        }, ...ipfsLibp2pOptions
-    })
-    const blockstore = new LevelBlockstore(`./ipfs/1/blocks`)
-    ipfs = await createHelia({blockstore: blockstore, libp2p: libp2p, blockBrokers: [bitswap()]})
-    const identities = await Identities({ipfs, path: `./orbitdb/1/identities`})
-    const id = "1"
-    identities.createIdentity({id}) // Remove the unused variable 'identity'
-    orbitdb = await createOrbitDB({ipfs: ipfs, identities, id: `1`, directory: `./orbitdb/1`})
-
-    db = await orbitdb.open('ipfs_transformers',
-        {
-            type: 'documents',
-            AccessController: OrbitDBAccessController({write: ["*"]})
-        })
-    console.info(`running with db address ${db.address}`)
-    // Add a new WebSocket server
-    const wss = new WebSocketServer({ port: 8080 })
-    wss.on('connection', (ws) => {
-        console.log('New WebSocket connection');
-        ws.on('message', (message) => {
-            message = JSON.parse(message.toString());
-            console.log('Received message:', message);
-            let method = Object.keys(message)[0];
-            let data = message[method];
-            // Handle WebSocket messages here
-            switch (method) {
-                case 'insert':
-                    // Handle insert logic
-                    let insertKey = data._id;
-                    let insertValue = data.content;
-                    console.log('Inserting data: ', insertKey, insertValue);
-                    validate(insertValue).then((result) => {
-                        if (result) {
-                            db.put(data).then(() => {
-                                console.log('Data inserted:', data);
-                                ws.send('Data inserted');
-                            }).catch((error) => {
-                                console.error('Error inserting data:', error);
-                                ws.send('Error inserting data');
-                            });
-                        }
-                        else{
-                            console.error('Data validation failed:', insertValue);
-                            ws.send('Data validation failed');
-                        }
-                    });
-                    break;
-                case 'update':
-                    // Handle update logic
-                    let updateKey = data._id;
-                    let updateValue = data.content;
-                    let updatedDoc = {_id: updateKey, content: updateValue};
-                    let docToUpdate = db.get(updateKey).then((doc) => {
-                        validate(updatedDoc).then((result) => {
-                            db.put(updatedDoc).then(() => {
-                                console.log('Data updated:', data);
-                                ws.send('Data updates');
-                            }).catch((error) => {
-                                console.error('Error updating data:', error);
-                                ws.send('Error updating data');
-                            });
-                        }).catch((error) => {
-                            console.error('Error updating data:', error);
-                            ws.send('Error updating data');
-                        })
-                    }).catch((error) => {
-                        console.error('Error upfating document:', error);
-                        ws.send('Error updating document');
-                    });
-                    break;
-                case 'select':
-                    // Handle select logic
-                    let selectID = data._id;
-                    let docToSelect = db.get(selectID).then((doc) => {
-                        console.log('Selected document:', doc);
-                        ws.send(JSON.stringify(doc));
-                    }).catch((error) => {
-                        console.error('Error selecting document:', error);
-                        ws.send('Error selecting document');
-                    })
-                    break;
-                case 'delete':
-                    // Handle delete by ID logic
-                    let deleteId = data._id;
-                    let docToDelete = db.get(deleteId).then((doc) => {
-                        db.del(deleteId).then((deletedDoc) => {
-                            console.log('Document deleted:', deletedDoc);
-                            ws.send('Document deleted');
-                        }).catch((error) => {
-                            console.error('Error deleting document:', error);
-                            ws.send('Error deleting document');
-                        });
-                    }).catch((error) => {
-                        console.error('Error deleting document:', error);
-                        ws.send('Error deleting document');
-                    });
-                    break;
-                default:
-                    console.log('Unknown message:', message);
-                    break;
-            }
-        });
-    });
-}
-
-async function validate() {
-    // Add validation logic here
-    return true;
-}
-
-async function handleTerminationSignal() {
-    console.info('received termination signal, cleaning up and exiting...');
-    await db.close()
-    await orbitdb.stop()
-    await ipfs.stop()
-    process.exit();
-}
-
-await run()
\ No newline at end of file
diff --git a/huggingface_scraper/orbitdb_kit_lib/package.json b/huggingface_scraper/orbitdb_kit_lib/package.json
deleted file mode 100644
index 9ebe341..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/package.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "name": "agwp2pdb",
-  "version": "1.0.0",
-  "description": "AGW P2P distributed database",
-  "main": "orbit.js",
-  "type": "module",
-  "scripts": {
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "keywords": [
-    "AGW",
-    "P2P",
-    "orbit"
-  ],
-  "author": "Karsten Ohme",
-  "license": "UNLICENSED",
-  "dependencies": {
-    "@chainsafe/libp2p-gossipsub": "^11.1.0",
-    "@chainsafe/libp2p-noise": "^15.0.0",
-    "@helia/block-brokers": "^1.0.0",
-    "@libp2p/bootstrap": "^10.0.12",
-    "@libp2p/circuit-relay-v2": "^1.0.12",
-    "@libp2p/mdns": "^10.0.12",
-    "@libp2p/tcp": "^9.0.12",
-    "@libp2p/webrtc": "^4.0.16",
-    "@libp2p/websockets": "^8.0.12",
-    "@orbitdb/core": "^2.0.1",
-    "blockstore-level": "^1.1.7",
-    "bson": "^6.2.0",
-    "helia": "^3.0.1",
-    "libp2p": "^1.2.0",
-    "minimist": "^1.2.8",
-    "private-ip": "^3.0.2",
-    "uuid": "^9.0.1"
-  }
-}
diff --git a/huggingface_scraper/orbitdb_kit_lib/websocket_test_master.js b/huggingface_scraper/orbitdb_kit_lib/websocket_test_master.js
deleted file mode 100644
index faf6314..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/websocket_test_master.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import { WebSocket } from 'ws';
-
-export default async function main(){
-    const ws = new WebSocket('ws://localhost:8080');
-    ws.on('open', () => {
-        ws.send(JSON.stringify({'insert': { _id: '1', content: 'content 1' }}))
-
-        ws.send(JSON.stringify({'select': { _id: '1' }}))
-        
-        ws.send(JSON.stringify({"update": { _id: '1', content: 'content 2' }}))
-        
-        ws.send(JSON.stringify({'delete': { _id: '1' }}))
-    });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main();
\ No newline at end of file
diff --git a/huggingface_scraper/orbitdb_kit_lib/yarn.lock b/huggingface_scraper/orbitdb_kit_lib/yarn.lock
deleted file mode 100644
index b3f46c1..0000000
--- a/huggingface_scraper/orbitdb_kit_lib/yarn.lock
+++ /dev/null
@@ -1,6371 +0,0 @@
-# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
-# yarn lockfile v1
-
-
-"@achingbrain/nat-port-mapper@^1.0.13":
-  version "1.0.13"
-  resolved "https://registry.npmjs.org/@achingbrain/nat-port-mapper/-/nat-port-mapper-1.0.13.tgz"
-  integrity sha512-B5GL6ILDek72OjoEyFGEuuNYaEOYxO06Ulhcaf/5iQ4EO8uaZWS+OkolYST7L+ecJrkjfaSNmSAsWRRuh+1Z5A==
-  dependencies:
-    "@achingbrain/ssdp" "^4.0.1"
-    "@libp2p/logger" "^4.0.1"
-    default-gateway "^7.2.2"
-    err-code "^3.0.1"
-    it-first "^3.0.1"
-    p-defer "^4.0.0"
-    p-timeout "^6.1.1"
-    xml2js "^0.6.0"
-
-"@achingbrain/ssdp@^4.0.1":
-  version "4.0.6"
-  resolved "https://registry.npmjs.org/@achingbrain/ssdp/-/ssdp-4.0.6.tgz"
-  integrity sha512-Y4JE2L9150i50V6lg/Y8+ilhxRpUZKKv+PKo68Aj7MjPfaUAar6ZHilF9h4/Zb3q0fqGMXNc9o11cQLNI8J8bA==
-  dependencies:
-    event-iterator "^2.0.0"
-    freeport-promise "^2.0.0"
-    merge-options "^3.0.4"
-    xml2js "^0.6.2"
-
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-  resolved "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz"
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-  dependencies:
-    "@jridgewell/gen-mapping" "^0.3.5"
-    "@jridgewell/trace-mapping" "^0.3.24"
-
-"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.12.13", "@babel/code-frame@^7.23.5", "@babel/code-frame@^7.24.1", "@babel/code-frame@^7.24.2":
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-  resolved "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.2.tgz"
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-  dependencies:
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-    picocolors "^1.0.0"
-
-"@babel/compat-data@^7.20.5", "@babel/compat-data@^7.22.6", "@babel/compat-data@^7.23.5", "@babel/compat-data@^7.24.4":
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-
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-    "@babel/code-frame" "^7.24.2"
-    "@babel/generator" "^7.24.4"
-    "@babel/helper-compilation-targets" "^7.23.6"
-    "@babel/helper-module-transforms" "^7.23.3"
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-    "@babel/parser" "^7.24.4"
-    "@babel/template" "^7.24.0"
-    "@babel/traverse" "^7.24.1"
-    "@babel/types" "^7.24.0"
-    convert-source-map "^2.0.0"
-    debug "^4.1.0"
-    gensync "^1.0.0-beta.2"
-    json5 "^2.2.3"
-    semver "^6.3.1"
-
-"@babel/generator@^7.20.0", "@babel/generator@^7.24.1", "@babel/generator@^7.24.4":
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-    "@jridgewell/gen-mapping" "^0.3.5"
-    "@jridgewell/trace-mapping" "^0.3.25"
-    jsesc "^2.5.1"
-
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-
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-    lru-cache "^5.1.1"
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-
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-    "@babel/helper-environment-visitor" "^7.22.20"
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-    camelcase "^5.0.0"
-    decamelize "^1.2.0"
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diff --git a/huggingface_scraper/process_manifest.js b/huggingface_scraper/process_manifest.js
deleted file mode 100644
index 2d8f730..0000000
--- a/huggingface_scraper/process_manifest.js
+++ /dev/null
@@ -1,1624 +0,0 @@
-import fs from 'fs'
-import { folder_data, generate_md5, synchronousHttpGet, upload_files_s3} from './utils.js'
-import { ipfsClusterCtl } from "./ipfs.js"
-import { convert_model } from './convert.js'
-import { generate_readme } from './readme-generate.js'
-import child_process from 'child_process'
-import { execSync } from 'child_process'
-import process from 'process'
-import path, { relative } from 'path'
-import os from 'os'
-const cwd = path.dirname(new URL(import.meta.url).pathname)
-
-export class process_manifest
-{
-    constructor(s3_creds, hf_creds, mysql_creds, local_model_path, ipfs_path, collection_path){
-        this.env = process.env
-        if (s3_creds != undefined){
-            process.env.s3_creds = JSON.stringify(s3_creds)
-            this.s3_creds = s3_creds
-        }
-        if (hf_creds != undefined){
-            process.env.hf_creds = JSON.stringify(hf_creds)
-            this.hf_creds = hf_creds
-        }
-        if (mysql_creds != undefined){
-            process.env.mysql_creds = JSON.stringify(mysql_creds)
-            this.mysql_creds = mysql_creds
-        }
-        if (local_model_path != undefined){
-            process.env.local_model_path = local_model_path
-            this.local_model_path = local_model_path
-        }
-        if (ipfs_path != undefined){
-            process.env.ipfs_path = ipfs_path
-            this.ipfsPath = ipfs_path
-        }
-        if (collection_path != undefined){
-            process.env.collection_path = collection_path
-            this.collection_path = collection_path
-        }
-        this.manifest = {}
-        this.generate = {}
-        this.build_path = ""
-        this.dest_path = ""
-        if (!fs.existsSync(this.collection_path)){
-            fs.writeFileSync(this.collection_path, "{}")
-        }
-        if(!fs.existsSync(this.local_model_path)){
-            fs.mkdirSync(this.local_model_path)
-        }
-        if(!fs.existsSync(this.ipfsPath)){
-            fs.mkdirSync(this.ipfsPath)
-        }
-        if(!fs.existsSync("/tmp/build")){
-            fs.mkdirSync("/tmp/build")
-        }
-    }
-
-    process_prompted_manifest(manifest, folder){
-        // console.log("process_manifest")
-        // console.log("main(generate, manifest, folder)")
-        // console.log("manifest: ", manifest)
-        // console.log("folder: ", folder)
-        let collection_path = this.collection_path
-        this.manifest = manifest
-        let generate = manifest
-        this.folder = folder
-        let local_model_path = process.env.local_model_path
-        let build_path 
-        let dest_path
-        let s3_creds = this.s3_creds
-        let hf_creds = this.hf_creds
-        let mysql_creds = this.mysql_creds
-        delete manifest["s3_creds"];
-        delete manifest["hf_creds"];
-        delete manifest["mysql_creds"];
-        generate.s3_creds = s3_creds
-        generate.hf_creds = hf_creds
-        generate.mysql_creds = mysql_creds
-
-        console.log("local_model_path: ", local_model_path)
-        console.log("process.env.local_model_path: ", process.env.local_model_path)
-
-        if(manifest.metadata.quantization != undefined && !manifest.id.includes(manifest.metadata.quantization)){
-            build_path = path.join("/tmp/build/", manifest.id + "-" + manifest.metadata.quantization) 
-            generate.build_path = path.join("/tmp/build/", manifest.id + "-" + manifest.metadata.quantization)
-        }
-        else{
-            build_path = path.join("/tmp/build/" , manifest.id) 
-            generate.build_path = path.join("/tmp/build/" , manifest.id)
-        }
-        if (manifest.format != undefined){
-            //this.build_path = this.build_path + "@" + this.generate.format
-        }
-        build_path = path.resolve(build_path)
-        generate.build_path = path.resolve(generate.build_path)
-        if(!fs.existsSync(build_path)){
-            fs.mkdirSync(build_path)
-        }
-
-        generate.destPath = local_model_path + manifest.id
-        this.generrate = generate
-        let manifest_file = path.join(build_path, "manifest.json")
-        let collection = load_local_collection(this.collection_path)
-        this.ipfsCluster = new ipfsClusterStatus(collection)
-        if (Object.keys(generate).includes("build_path")){
-            build_path = generate.build_path
-        }
-        if(Object.keys(generate).includes("destPath")){
-            dest_path = generate.destPath
-        }
-        fs.writeFileSync(path.join(build_path, "manifest.json"), JSON.stringify(manifest))
-        let file_dict = package_model_data(generate, manifest, collection)
-        delete manifest["s3_creds"];
-        delete manifest["hf_creds"];
-        delete manifest["mysql_creds"];
-        console.log("process_prompted_manifest")
-        console.log("generate: ", generate)
-        manifest.folderData = generate.folderData
-        //delete this.manifest.skill
-        fs.writeFileSync(path.join(build_path, "manifest.json"), JSON.stringify(manifest))
-        let cache = export_cache_locations(manifest, generate, file_dict)
-        manifest.folderData = folder_data(generate, manifest, build_path)
-        fs.writeFileSync(path.join(build_path, "manifest.json"), JSON.stringify(manifest))
-        let manifest_data = upload_manifest_files(manifest, generate, local_model_path, this.ipfsCluster)
-        manifest.folderData = folder_data(generate, manifest, dest_path)
-        fs.writeFileSync(path.join(dest_path, "manifest.json"), JSON.stringify(manifest))
-        let new_collection = update_collection(manifest, generate, manifest_data, collection_path)
-        fs.writeFileSync(path.join(dest_path, "manifest.json"), JSON.stringify(manifest))
-        this.collection = collection
-        return this            
-    }
-
-    main(generate, manifest, folder){
-        console.log("process_manifest")
-        console.log("main(generate, manifest, folder)")
-        console.log("generate: ", generate)
-        console.log("manifest: ", manifest)
-        console.log("folder: ", folder)
-        let collection_path = this.collection_path
-        this.generate = generate
-        this.manifest = manifest
-        this.folder = folder
-        if(generate.quantization != undefined && !generate.id.includes(generate.quantization)){
-            this.build_path = "/tmp/build/" + generate.id + "-" + generate.quantization 
-        }
-        else{
-            this.build_path = "/tmp/build/" + generate.id 
-        }
-        if (generate.format != undefined){
-            //this.build_path = this.build_path + "@" + this.generate.format
-        }
-        this.build_path = path.resolve(this.build_path)
-        if(!fs.existsSync(this.build_path)){
-            fs.mkdirSync(this.build_path)
-        }
-        let manifest_file = path.join(this.build_path, "manifest.json")
-        let collection
-        collection = load_local_collection(collection_path)
-        this.ipfsCluster = new ipfsClusterStatus(collection)
-        fs.writeFileSync(path.join(this.build_path, "manifest.json"), JSON.stringify(this.manifest))
-        let file_dict = package_model_data(this.generate, this.manifest, collection)
-        if (Object.keys(generate).includes("build_path")){
-            this.build_path = generate.build_path
-        }
-        if(Object.keys(generate).includes("destPath")){
-            this.dest_path = generate.destPath
-        }
-        //delete this.manifest.skill
-        fs.writeFileSync(path.join(this.build_path, "manifest.json"), JSON.stringify(this.manifest))
-        let cache = export_cache_locations(this.manifest, this.generate, file_dict)
-        manifest.cache = cache
-        manifest.folderData = folder_data(this.generate, this.manifest, this.build_path)
-        fs.writeFileSync(path.join(this.build_path, "manifest.json"), JSON.stringify(this.manifest))
-        let manifest_data = upload_manifest_files(this.manifest, this.generate, local_model_path, this.ipfsCluster)
-        manifest.folderData = folder_data(this.generate, this.manifest, this.dest_path)
-        fs.writeFileSync(path.join(this.dest_path, "manifest.json"), JSON.stringify(this.manifest))
-        let new_collection = update_collection(this.manifest, this.generate, manifest_data, collection_path)
-        fs.writeFileSync(path.join(this.dest_path, "manifest.json"), JSON.stringify(this.manifest))
-        this.collection = collection
-        return this        
-    }
-}
-
-export function load_local_collection(collection_path){
-    let collection = {}
-    if(fs.existsSync(collection_path)){
-        collection = JSON.parse(fs.readFileSync(collection_path, 'utf-8'))
-    }
-    else{
-        collection = {}
-    }
-    return collection
-}
-
-export function ipfsClusterStatus(collection){
-    let this_cluster = new ipfsClusterCtl()
-    let status = this_cluster.check_collection(collection)
-    return status
-}
-
-export function update_collection(manifest, generate, manifest_data, collection_path){
-    let this_mysql_creds
-    if (this_mysql_creds == undefined){
-        if (generate.mysql_creds != undefined){
-            this_mysql_creds = generate.mysql_creds
-        }
-        else{
-            this_mysql_creds = JSON.parse(process.env.mysql_creds)
-        }
-    }
-    let this_s3_creds
-    if (this_s3_creds == undefined){
-        if (generate.s3_creds != undefined){
-            this_s3_creds = generate.s3_creds
-        }
-        else{
-            this_s3_creds = JSON.parse(process.env.s3_creds)
-        }
-    }
-    let s3_bucket
-    if(s3_bucket == undefined){
-        if (this_s3_creds.bucket != undefined){
-            s3_bucket = this_s3_creds.bucket
-        }
-    }
-
-    let collection 
-    collection = load_local_collection(collection_path)
-    let collection_type = typeof collection
-    let collection_keys = Object.keys(collection)
-
-    if (typeof collection == "string" || typeof collection == "list"){
-        collection = {}
-    }
-    for (var i = 0; i < collection_keys.length; i++){
-        let this_key = collection_keys[i]
-        let this_key_type = typeof parseFloat(this_key)
-        let this_key_value = parseFloat(this_key)
-        if(typeof this_key_value >= 0 || this_key_type <= 0 ){
-            delete(collection[this_key])
-        }
-    }
-
-    if(Object.keys(generate).includes("id")){
-        collection[generate.id] = manifest
-    }
-    else{
-        try{
-            delete(collection[undefined])
-        }
-        catch
-        {
-            console.log("cant delete undefined")
-        }
-    }
-    if (!Object.keys(collection).includes("cache")){
-        collection["cache"] = {}
-    }
-    collection["cache"]["local"] = collection_path
-    collection["cache"]["s3"] = "s3://"+ s3_bucket + "/collection.json"
-    collection["cache"]["ipfs"] = ""
-    collection["cache"]["https"] = "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-    let update_0
-    let update_1
-    let update_2
-    let update_3
-    let update_4
-
-    try{
-        update_0 = update_collection_ipfs(collection, collection_path)
-    }
-    catch(error){
-        console.log("update_collection_ipfs failed")
-        console.log(error)
-    }
-    try{
-        update_1 = update_collection_local(collection, collection_path)
-    }
-    catch(error){
-        console.log("update_collection_local failed")
-        console.log(error)
-    }
-    try{
-        update_2 = update_collection_s3(collection, collection_path, this_s3_creds)
-    }
-    catch(error){
-        console.log("update_collection_s3 failed")
-        console.log(error)
-    }
-    try{
-        update_3 = update_collection_https(collection, collection_path)
-    }
-    catch(error){
-        console.log("update_collection_https failed")
-        console.log(error)
-    }
-    try{
-        let mysql_update = update_collection_mysql(collection, collection_path, this_mysql_creds)
-    }
-    catch(error){
-        console.log("update_collection_mysql failed")
-        console.log(error)
-    }
-  
-
-}
-
-
-export function get_mysql_table(this_mysql_creds, table) {
-    if (this_mysql_creds == undefined) {
-        if (Object.keys(process.env).includes("mysql_creds")) {
-            this_mysql_creds = JSON.parse(process.env.mysql_creds);
-        }
-    }
-    let host = this_mysql_creds.host;
-    let user = this_mysql_creds.user;
-    let password = this_mysql_creds.password;
-    let database = this_mysql_creds.database;
-
- 
-    var connection = new mysql({
-        host: host,
-        user: user,
-        password: password,
-        database: database
-      });
-    // Perform synchronous MySQL query
-    const results = connection.query('SELECT * FROM ' + table);
-    connection.dispose()
-;
-
-    return results
-}
-
-
-export function create_mysql_table_id(manifest, this_mysql_creds, table) {
-    if (this_mysql_creds == undefined) {
-        if (Object.keys(process.env).includes("mysql_creds")) {
-            this_mysql_creds = JSON.parse(process.env.mysql_creds);
-        }
-    }
-    let host = this_mysql_creds.host;
-    let user = this_mysql_creds.user;
-    let password = this_mysql_creds.password;
-    let database = this_mysql_creds.database;
- 
-    var connection = new mysql({
-        host: host,
-        user: user,
-        password: password,
-        database: database
-      });
-    // Perform synchronous MySQL query
-    let mysql_set_values = []
-    if (!Object.keys(manifest).includes("key")){
-        if(Object.keys(manifest).includes("id")){
-            manifest["key"] = manifest.id
-        }
-    }
-
-    for (var i = 0; i < Object.keys(manifest).length; i++){
-        let insert_value = manifest[Object.keys(manifest)[i]]
-        if (typeof insert_value == "string"){
-            let test_json
-            try {
-                test_json = JSON.parse(insert_value)
-            }
-            catch{
-                //console.log("not json")
-            }
-            finally{
-                // prepare json for mysql insert and escape single and double quotes
-                if(test_json != undefined && typeof test_json == "object"){
-                    insert_value = JSON.parse(insert_value)
-                    insert_value = JSON.stringify(insert_value)
-                    insert_value = insert_value.replace(/'/g, "\\'")
-                    insert_value = insert_value.replace(/"/g, '\\"')
-                }
-            }
-            manifest[Object.keys(manifest)[i]] = insert_value
-
-        }        
-        mysql_set_values.push("`" + Object.keys(manifest)[i] + "` = \"" + manifest[Object.keys(manifest)[i]] + "\"")
-    }
-    let query = 'INSERT INTO ' + table + ' SET ' + mysql_set_values.join(", ");
-    const results = connection.query(query);
-    connection.dispose();
-    return results
-}
-
-export function update_mysql_table_id(manifest, this_mysql_creds, table) {
-    if (this_mysql_creds == undefined) {
-        if (Object.keys(process.env).includes("mysql_creds")) {
-            this_mysql_creds = JSON.parse(process.env.mysql_creds);
-        }
-    }
-    let host = this_mysql_creds.host;
-    let user = this_mysql_creds.user;
-    let password = this_mysql_creds.password;
-    let database = this_mysql_creds.database;
- 
-    var connection = new mysql({
-        host: host,
-        user: user,
-        password: password,
-        database: database
-    });
-    // Perform synchronous MySQL query
-    let mysql_set_values = []
-
-    for (var i = 0; i < Object.keys(manifest).length; i++){
-        let insert_value = manifest[Object.keys(manifest)[i]]
-        if (typeof insert_value == "string"){
-            let test_json
-            try {
-                test_json = JSON.parse(insert_value)
-            }
-            catch{
-                //console.log("not json")
-            }
-            finally{
-                // prepare json for mysql insert and escape single and double quotes
-                if(test_json != undefined && typeof test_json == "object"){
-                    insert_value = JSON.parse(insert_value)
-                    insert_value = JSON.stringify(insert_value)
-                    insert_value = insert_value.replace(/'/g, "\\'")
-                    insert_value = insert_value.replace(/"/g, '\\"')
-                }
-            }
-            manifest[Object.keys(manifest)[i]] = insert_value
-
-        }        
-        mysql_set_values.push("`" + Object.keys(manifest)[i] + "` = \"" + manifest[Object.keys(manifest)[i]] + "\"")
-    }
-
-    let query = 'UPDATE ' + table + ' SET ' + mysql_set_values.join(", ") + ' WHERE `key` = \'' + manifest.id + "@" + manifest.format + '\'';
-    const results = connection.query(query);
-    //const results = connection.query('UPDATE ' + table + ' SET ' + mysql_set_values.join(", ") + ' WHERE id = ' + collection.id);
-    connection.dispose()
-;
-    return results
-}
-
-
-
-export function collection_mysql_check(collection_model, mysql_model){
-    let this_model = collection_model
-    let this_model_serialized = collection_model
-    this_model_serialized.hwRequirements = JSON.stringify(collection_model.hwRequirements)
-    this_model_serialized.metadata = JSON.stringify(collection_model.metadata)
-    this_model_serialized.folderData = JSON.stringify(collection_model.folderData)
-    this_model_serialized.cache = JSON.stringify(collection_model.cache)
-    this_model_serialized.skill = this_model.skill
-    this_model_serialized.key = this_model.id
-
-    let this_mysql_model_unserialized = mysql_model
-    if(this_mysql_model_unserialized != undefined){
-        this_mysql_model_unserialized.key = mysql_model.id
-        if(this_mysql_model_unserialized.hwRequirements != undefined){
-            if (typeof mysql_model.hwRequirements == "string"){
-                this_mysql_model_unserialized.hwRequirements = JSON.parse(mysql_model.hwRequirements)
-            }
-            else{
-                this_mysql_model_unserialized.hwRequirements = mysql_model.hwRequirements
-            }
-        }
-        if(this_mysql_model_unserialized.metadata != undefined){
-            if (typeof mysql_model.metadata == "string"){
-                this_mysql_model_unserialized.metadata = JSON.parse(mysql_model.metadata)
-            }
-            else{
-                this_mysql_model_unserialized.metadata = mysql_model.metadata
-            }
-        }
-        if(this_mysql_model_unserialized.folderData != undefined){
-            if (typeof mysql_model.folderData == "string"){
-                this_mysql_model_unserialized.folderData = JSON.parse(mysql_model.folderData)
-            }
-            else{
-                this_mysql_model_unserialized.folderData = mysql_model.folderData
-            }
-        }
-        if(this_mysql_model_unserialized.cache != undefined){
-            if (typeof mysql_model.cache == "string"){
-                this_mysql_model_unserialized.cache = JSON.parse(mysql_model.cache)
-            }
-            else{
-                this_mysql_model_unserialized.cache = mysql_model.cache
-            }
-        }
-    }
-    
-
-    let this_mysql_model_serialized = JSON.stringify(mysql_model)
-    let this_collection_model_serialized = JSON.stringify(this_model)
-    let this_mysql_model_md5 = generate_md5(this_mysql_model_serialized)
-    let this_collection_model_md5 = generate_md5(this_collection_model_serialized)
-    if (this_collection_model_serialized != this_mysql_model_serialized || this_mysql_model_md5 != this_collection_model_md5){
-        return false
-    }
-    else{
-        return true
-    }
-    
-}
-
-export function update_collection_s3(collection, this_collection_path, this_s3_creds){
-    let file_list = {}
-    file_list[this_collection_path] = '/collection.json'
-    let results
-    try{
-        results = upload_files_s3(file_list , this_s3_creds)
-    }
-    catch (error){
-        console.log("upload_files_s3 failed")
-        console.log(error)
-    }
-    finally{
-        return results
-    }
-}
-
-export function update_collection_https(collection, this_collection_path, this_hf_creds){
-
-    if(this_hf_creds == undefined){
-        this_hf_creds = hf_creds
-    }
-
-    if(this_collection_path == undefined){
-        this_collection_path = collection_path
-    }
-    let https_path = "https://huggingface.co/" + this_hf_creds.account_name+"/cloudkit-collection/resolve/main/collection.json"
-    let huggingface_collection = synchronousHttpGet(https_path).body.toString()
-    let local_collection = fs.readFileSync(this_collection_path)
-    local_collection = JSON.parse(local_collection)
-    local_collection = JSON.stringify(local_collection)
-    let local_collection_md5
-    if (local_collection == undefined){
-        local_collection_md5 = generate_md5(local_collection)
-    }
-    else{
-        local_collection_md5 = generate_md5(JSON.stringify(collection))
-    }
-    let huggingface_collecion_md5 = generate_md5(huggingface_collection)
-    let huggingface_collection_length = huggingface_collection.length
-    let local_collection_length = local_collection.length
-
-    if (huggingface_collecion_md5 != local_collection_md5 && huggingface_collection_length != local_collection_length){
-        if(Object.keys(collection).includes("cache")){
-            collection["cache"]["https"] = https_path
-        }
-        else{
-            collection["cache"] = {}
-            collection["cache"]["https"] = https_path
-        }
-        let executable_path = path.join(cwd,"huggingface")
-        executable_path = path.join(executable_path, "huggingface_hub_upload.py")
-
-        let folder_path = path.dirname(this_collection_path)
-        let repo_name = "cloudkit-collection"
-        let hf_username = this_hf_creds.account_name
-        let hf_token = this_hf_creds.user_key
-        let this_organization = this_hf_creds.org_name
-
-        let args = [folder_path, repo_name, hf_username, hf_token, this_organization]
-
-        let command_1 = "python " + executable_path + " " + args.join(" ")
-        console.log("command_1: " + command_1)
-        let results_1
-        try{
-            results_1 = child_process.execSync(command_1, {stdio: 'ignore'})
-        }
-        catch(error){
-            console.log("command_1 failed")
-            console.log(command_1)
-            console.log(error)
-        }
-        finally{
-            return results_1
-        }
-    }
-    else{
-        console.log("huggingface collection.json is the same")
-    }
-}
-
-export function update_collection_local(collection, this_collection_path){
-    let old_collection = JSON.parse(fs.readFileSync(this_collection_path))
-    if(this_collection_path == undefined){
-        this_collection_path = collection_path
-    }
-    let new_collection = {}
-    let collection_keys = Object.keys(old_collection)
-    for(var i = 0; i < collection_keys.length; i++){
-        let this_key = collection_keys[i]
-        new_collection[this_key] = collection[this_key]
-    }
-    for(var i = 0; i < Object.keys(collection).length; i++){
-        let this_key = Object.keys(collection)[i]
-        new_collection[this_key] = collection[this_key]
-    }
-    fs.writeFileSync(this_collection_path, JSON.stringify(collection))
-    return new_collection
-}
-
-export function update_collection_ipfs(collection, this_collection_path){
-    let this_collection_ipfs
-    if(this_collection_path == undefined){
-        this_collection_path = collection_path
-    }
-    let command_1 = "ipfs add -r " + this_collection_path 
-    let results_1
-    try{
-        results_1 = child_process.execSync(command_1)
-    }
-    catch(error){
-        console.log("ipfs add failed")
-        console.log(command_1)
-        console.log(error)
-    }
-    finally{
-        results_1 = results_1
-        if (results_1 != undefined){
-            console.log("results_1: ", results_1.toString())
-            console.log("ipfs add succeeded")
-            results_1 = results_1.toString().split("\n")
-
-            let results_matrix = []
-            for(var i = 0; i < results_1.length; i++){
-                results_matrix.push(results_1[i].split(" "))
-            }
-            if (results_matrix.length = 2){
-                this_collection_ipfs = results_matrix[results_matrix.length - 2][1]
-            }
-            let metadata = ["path=/collection.json"]
-            let argstring = ""
-            for (var i = 0; i < metadata.length; i++){
-                argstring = argstring + "  " + metadata[i]
-            }
-            let command_2 = "ipfs-cluster-ctl pin add " + this_collection_ipfs + argstring
-            let results_2 = child_process.execSync(command_2)
-
-            if(Object.keys(collection).includes("cache")){
-                collection["cache"]["ipfs"] = this_collection_ipfs
-            }
-            else{
-                collection["cache"] = {}
-                collection["cache"]["ipfs"] = this_collection_ipfs
-            }
-            return this_collection_ipfs
-        }
-        return false
-    }
-    return false
-}
-
-export function update_collection_mysql(collection, this_collection_path, this_mysql_creds) {
-    if (this_mysql_creds == undefined) {
-        if (Object.keys(process.env).includes("mysql_creds")) {
-            this_mysql_creds = JSON.parse(process.env.mysql_creds);
-        }
-    }
-
-    let host = this_mysql_creds.host;
-    let user = this_mysql_creds.user;
-    let password = this_mysql_creds.password;
-    let database = this_mysql_creds.database;
-    let this_registry = registry({
-        host: host,
-        user: user,
-        password: password,
-        database: database
-    });
-    delete collection.cache;
-    let collection_keys = Object.keys(collection);
-    let promises = [];
-
-    let mysql_models = get_mysql_table(this_mysql_creds, "Checkpoint")
-    let this_mysql_models = {}
-    
-    mysql_models.map((model) => {
-        let this_model = model
-        delete this_model.key
-        this_mysql_models[this_model.id] = this_model
-    })
-
-    for (let model of collection_keys) {
-        let this_model = collection[model];
-        let this_model_collection = collection[model];
-        let this_model_mysql = this_mysql_models[model];
-        if (this_model_mysql != undefined){
-        let check_same = collection_mysql_check(this_model_collection, this_model_mysql);
-            if (check_same == false) {
-                //this_model_collection.skill = this_model_mysql.skill
-                this_model_collection.key = this_model_collection.id + "@" + this_model_collection.format;
-                if (typeof this_model_collection.hwRequirements != "string"){
-                    this_model_collection.hwRequirements = JSON.stringify(this_model_collection.hwRequirements);
-                }
-                if (typeof this_model_collection.metadata != "string"){
-                    this_model_collection.metadata = JSON.stringify(this_model_collection.metadata);
-                }
-                if (typeof this_model_collection.folderData != "string"){
-                    this_model_collection.folderData = JSON.stringify(this_model_collection.folderData);
-                }
-                if (typeof this_model_collection.cache != "string"){
-                    this_model_collection.cache = JSON.stringify(this_model_collection.cache);
-                }
-
-                if (this_model_mysql != undefined){
-                    delete this_model_mysql.key;
-                    delete this_model_collection.location
-            
-                    if (!Object.keys(this_model_collection).includes("local")) {
-                        update_mysql_table_id(this_model_collection, this_mysql_creds, "Checkpoint")
-                    }
-                    else {
-                        console.log("not updating cache data");
-                    }
-                }
-            }
-        }
-        else{
-            this_model_collection.key = this_model_collection.id;
-            if (typeof this_model_collection.hwRequirements != "string"){
-                this_model_collection.hwRequirements = JSON.stringify(this_model_collection.hwRequirements);
-            }
-            if (typeof this_model_collection.metadata != "string"){
-                this_model_collection.metadata = JSON.stringify(this_model_collection.metadata);
-            }
-            if (typeof this_model_collection.folderData != "string"){
-                this_model_collection.folderData = JSON.stringify(this_model_collection.folderData);
-            }
-            if (typeof this_model_collection.cache != "string"){
-                this_model_collection.cache = JSON.stringify(this_model_collection.cache);
-            }
-            if (Object.keys(this_model_collection).includes("location")) {
-                delete this_model_collection.location 
-            }
-            if (!Object.keys(this_model_collection).includes("local")) {
-                create_mysql_table_id(this_model_collection, this_mysql_creds, "Checkpoint")
-            }
-            else{
-                console.log("not updating cache data")
-            }
-        }
-    }
-    return mysql_models
-}
-
-
-export function update_collection_mysql_bak(collection, this_collection_path, this_mysql_creds) {
-    if (this_mysql_creds == undefined) {
-        if (Object.keys(process.env).includes("mysql_creds")) {
-            this_mysql_creds = JSON.parse(process.env.mysql_creds);
-        }
-    }
-
-    let host = this_mysql_creds.host;
-    let user = this_mysql_creds.user;
-    let password = this_mysql_creds.password;
-    let database = this_mysql_creds.database;
-    let this_registry = registry({
-        host: host,
-        user: user,
-        password: password,
-        database: database
-    });
-    delete collection.cache;
-    let collection_keys = Object.keys(collection);
-    let promises = [];
-
-    for (let model of collection_keys) {
-        let this_model_collection = collection[model];
-        let keyfound = false;
-
-        promises.push(
-            this_registry.models().then(models => {
-                for (let this_model_mysql of models) {
-                    if (this_model_mysql.key == model) {
-                        keyfound = true;
-                        let check_same = collection_mysql_check(this_model_collection, this_model_mysql);
-                        if (check_same == false) {
-                            this_model_collection.key = this_model_collection.id;
-                            this_model_collection.hwRequirements = JSON.stringify(this_model_collection.hwRequirements);
-                            this_model_collection.metadata = JSON.stringify(this_model_collection.metadata);
-                            this_model_collection.folderData = JSON.stringify(this_model_collection.folderData);
-                            this_model_collection.cache = JSON.stringify(this_model_collection.cache);
-
-                            if (!Object.keys(this_model_collection).includes("local")) {
-                                return this_registry.updateModel(this_model_collection).then(result => {
-                                    console.log("updated cache data");
-                                });
-                            } else {
-                                console.log("not updating cache data");
-                            }
-                        }
-                    }
-                }
-
-                if (keyfound == false) {
-                    this_model_collection.key = this_model_collection.id;
-                    this_model_collection.hwRequirements = JSON.stringify(this_model_collection.hwRequirements);
-                    this_model_collection.metadata = JSON.stringify(this_model_collection.metadata);
-                    this_model_collection.folderData = JSON.stringify(this_model_collection.folderData);
-                    this_model_collection.cache = JSON.stringify(this_model_collection.cache);
-
-                    if (!Object.keys(this_model_collection).includes("local")) {
-                        return this_registry.updateModel(this_model_collection).then(result => {
-                            console.log("updating cache data");
-                        });
-                    } else {
-                        console.log("not updating cache data");
-                    }
-                }
-
-                console.log("model: " + model);
-                return Promise.resolve(); // Resolve the promise for the current model
-            })
-        );
-    }
-
-    return Promise.all(promises)
-        .then(() => {
-            console.log("All models updated or created successfully");
-            return true;
-        })
-        .catch(error => {
-            console.log(error);
-            return false;
-        });
-    
-}
-
-export function export_cache_locations( manifest, generate, file_dict){
-    let cache = {}
-    cache["ipfs"] = {}
-    cache["s3"] = {}
-    cache["local"] = {}
-    cache["https"] = {}
-
-    let https = {}
-    let ipfs = {}
-    let s3 = {}
-    let local = {}
-
-    for(var i = 0; i < Object.keys(file_dict).length; i++){
-        let this_file = Object.keys(file_dict)[i]
-        let this_md5 = file_dict[this_file].md5
-        let this_size = file_dict[this_file].size
-        let this_url
-        let s3_creds = JSON.parse(process.env.s3_creds)
-        console.log("s3_creds: ", s3_creds)
-        let s3_bucket = JSON.parse(process.env.s3_creds)["bucket"]
-
-        if (generate.converted == true ){
-            this_url = "https://huggingface.co/endomorphosis/" + generate.id + "/resolve/main/" + this_file
-        }
-        else{
-            this_url = manifest.source + "/resolve/main/" + this_file.replace("/","")
-        }
-        let this_local
-        if (generate.quantization != undefined){
-            this_local = generate.id + "-" + generate.quantization + this_file
-        }
-        else{
-            this_local = generate.id + this_file
-        }
-        let this_s3
-        if (generate.quantization != undefined){
-            this_s3 = "s3://" + s3_bucket + "/" + generate.id + "/" + this_file.replace("/","")
-        }
-        else{
-            this_s3 = "s3://" + s3_bucket + "/" + generate.id + "/" + this_file.replace("/","")
-        }
-        https[this_file] = {"path": this_file, "url": this_url}
-        local[this_file] = {"path": this_file, "url": this_local}
-        s3[this_file] = {"path": this_file , "url": this_s3}
-    }
-
-    cache["https"] = https
-    cache["local"] = local
-    cache["s3"] = s3
-    manifest.cache = cache
-    return manifest.cache
-}
-
-
-export function upload_manifest_files_s3(manifest, generate, file_list, this_s3_creds) {
-    if (this_s3_creds == undefined) {
-        //check for global s3 creds
-        if(Object.keys(process.env).includes("s3_creds")){
-            this_s3_creds = JSON.parse(process.env.s3_creds)
-        }
-    }
-
-    let files 
-    let new_files = {}
-
-    if(file_list != undefined){
-        files = file_list
-    }else if (Object.keys(manifest).includes("folderData")){
-        let build_dir = generate.build_path
-        files = manifest.folderData
-        let file_keys = Object.keys(files)
-        let relative_path = path.dirname(build_dir)
-        relative_path = build_dir.replace(relative_path, "")
-        for(var this_file in file_keys){
-            let filename = file_keys[this_file]
-            let filekey = path.join(build_dir, filename)
-            if(fs.existsSync(filekey)){
-                new_files[filekey] = relative_path + filename
-            }
-        }
-
-        files = new_files
-    }
-    if(this_s3_creds == undefined){
-        return true
-    }
-    else{
-        return upload_files_s3(files, this_s3_creds)
-    }
-}
-
-
-export function upload_manifest_files_local(manifest, generate, dest_path){
-    let files = manifest.folderData
-    let build_path = generate.build_path
-    build_path = path.dirname(build_path)
-
-    if(dest_path == undefined){
-        dest_path = local_model_path
-    }
-    if( path.resolve(build_path) != path.resolve(dest_path)){
-        for(var file in Object.keys(files)){
-            var file = Object.keys(files)[file]
-            let relativePath = path.relative(generate.build_path, file)
-            let fileKey
-            if(generate.modelName != undefined){
-                fileKey = generate.modelName
-                if (generate.quantization != undefined){
-                    fileKey = fileKey + "-" + generate.quantization
-                }
-                if (generate.format != undefined){
-                    //fileKey = fileKey + "@" + generate.format
-                }
-                fileKey = fileKey + "/" + file
-            }
-            else{
-                fileKey = generate.id
-            }
-
-            let destKey = path.join(dest_path, fileKey)
-            let buildKey = path.join(build_path, fileKey).replace("@", "\@")
-
-            buildKey = path.resolve(buildKey)
-
-            if (!fs.existsSync(path.dirname(destKey))){
-                fs.mkdirSync(path.dirname(destKey))
-            }
-
-            if(!fs.existsSync('/tmp/build')){
-                fs.mkdirSync('/tmp/build')
-            }
-
-            try{
-                if(path.resolve(buildKey) != path.resolve(build_path) && buildKey != destKey ){
-                    //fs.copyFileSync(buildKey, destKey)
-                    console.log(`uploading ${buildKey} to ${destKey}`)
-                    child_process.execSync(`cp -rf ${buildKey} ${destKey}`)
-                }
-            }
-            catch(error){
-                console.log(error)
-                throw error
-            }
-
-        }
-    }
-    return manifest
-}
-
-
-export function upload_manifest_files_hf(manifest,  generate, this_hf_creds){
-    if(this_hf_creds == undefined){
-        this_hf_creds = hf_creds
-    }
-
-    console.log("upload_manifest_files_hf")
-    let executable_path = path.join(cwd,"huggingface")
-    executable_path = path.join(executable_path, "huggingface_hub_upload.py")
-    let foldername = path.basename(generate.build_path)
-    let folder_path = path.join(local_model_path, foldername)
-    let repo_name = generate.id
-    let hf_username = this_hf_creds.account_name
-    let hf_token = this_hf_creds.user_key
-    let this_organization = this_hf_creds.org_name
-
-    let args = [folder_path, repo_name, hf_username, hf_token, this_organization]
-
-    let command_1 = "python " + executable_path + " " + args.join(" ")
-    console.log("command_1: " + command_1)
-    let results_1 = child_process.execSync(command_1, {stdio: 'ignore'})
-}
-
-
-export function upload_manifest_files_ipfs(manifest, generate, ipfsCluster){
-    let ipfs = {}
-    if(ipfsCluster.active_models.includes(manifest.id) == false || Object.keys(manifest.cache.ipfs) == 0){
-        let command1 = "cd " + generate.build_path + " ; ipfs add -r " + generate.build_path + "/ --progress=false"
-        console.log("command1: " + command1)
-        let results1
-        try{
-            results1 = child_process.execSync(command1)
-            console.log("results 1: " + results1)
-        }
-        catch(error){
-            console.log("ipfs add failed")
-            console.log(command1)
-            console.log(error)
-        }
-        finally{
-            results1 = results1.toString().split("\n")
-            console.log("results1: " + results1)
-            console.log("ipfs add succeeded")
-        }
-        let results_matrix = []
-        for(var i = 0; i < results1.length; i++){
-            results_matrix.push(results1[i].split(" "))
-        }
-        let results_files = {}
-        let results_files2 = {}
-        let model_folder = generate.build_path.replace(path.dirname(generate.build_path), "")
-        for (var results_list in results_matrix){
-            let this_list = results_matrix[results_list]
-            if (this_list.length > 2){
-                let this_key = this_list[2]
-                if(this_key != undefined){
-                    this_key = "/" + this_key.replace(model_folder.replace("/",""), "").replace("/","")
-                }
-                results_files[this_key] =  this_list[1]
-            }
-        }
-        let metadata = {}
-        // console.log("manifest.folderData")
-        // console.log(manifest.folderData)
-        // console.log("manifest.cache")
-        // console.log(manifest.cache)
-        for (var file in Object.keys(manifest.folderData)){
-            let this_file = Object.keys(manifest.folderData)[file]
-            if (Object.keys(results_files).includes(this_file)){
-                let this_ipfs = results_files[this_file]
-                let this_url = "https://ipfs.io/ipfs/" + this_ipfs
-                metadata[this_file] = "path=" + manifest.cache.local[this_file]["url"]
-                ipfs[this_file] = { "path" : this_ipfs, "url": this_url}
-            }
-        }
-        manifest.cache["ipfs"] = ipfs
-
-        let command2 = "ipfs-cluster-ctl pin add "
-
-        let file_structure = manifest.folderData
-        for (var file in manifest.folderData){
-            let this_file = manifest.folderData[file]
-            let this_ipfs = manifest.cache["ipfs"][file]["path"]
-            let argstring = ""
-            if(Object.keys(metadata).includes(file)){
-                    argstring = argstring + " --metadata " + metadata[file]
-            }
-            let this_command = command2 + this_ipfs + argstring
-            console.log("this_command: " + this_command)
-            let this_command_process = child_process.execSync(this_command, { stdio: 'ignore' })
-        }
-        return manifest
-    }
-    else{
-        console.log("either ipfs is empty or ipfs cache address is missing")
-        let collection = load_local_collection(collection_path)
-        let this_manifest = collection[generate.id]
-        let this_manifest_cache = this_manifest.cache
-        let this_manifest_cache_ipfs = this_manifest_cache.ipfs
-        manifest.cache["ipfs"] = this_manifest_cache_ipfs
-    }
-}
-
-export function upload_manifest_files(manifest, generate, local_path, ipfsCluster){
-    if(local_path == undefined){
-        local_path = local_model_path
-    }
-    let test
-    try{
-        console.log("ipfs")
-        let ipfs_upload = upload_manifest_files_ipfs(manifest, generate, ipfsCluster)
-    }
-    catch(error){
-        console.log("ipfs upload failed")
-        throw error
-    }
-    try{
-        let s3_upload = upload_manifest_files_s3(manifest, generate)
-    }
-    catch(error){
-        console.log("s3 upload failed")
-        throw error
-    }
-    try{
-        let local_upload = upload_manifest_files_local(manifest, generate, local_path)
-    }
-    catch(error){
-        console.log("local upload failed")
-        throw error
-    }
-    try{
-        if (!generate.source.includes("huggingface.co") || generate.converted == true){
-            let hf_upload = upload_manifest_files_hf(manifest, generate)
-        }
-    }
-    catch(error){
-        console.log("hf upload failed")
-        throw error
-    }
-    if(generate.build_path != generate.destPath){
-        let rm_command = "rm -rf " + generate.build_path
-        console.log("rm_command: " + rm_command)
-        let rm_results
-        try{
-            rm_results = child_process.execSync(rm_command)
-        }
-        catch(error){
-            console.log("rm failed")
-            console.log(error)
-        }
-        finally{
-            console.log("rm succeeded")
-        }
-    }
-
-    return manifest
-}
-
-export function import_hf(generate, manifest, build_path){
-    console.log("import_hf")
-    console.log("generate: ")
-    console.log(generate)
-
-    let source_path = generate.source
-    let dest_path = build_path
-    console.log("build_path: " + build_path)
-    if (build_path == undefined){
-        build_path = "/tmp/build/" + generate.id + "/"
-    }
-    build_path = path.resolve(build_path)
-    let readme_source
-    let file_structure = []
-    let tree_source
-    let canonincal_source
-    let config_source
-    let blob_source 
-
-    if(source_path.includes("tree/main")){
-        canonincal_source = dest_source.split("tree/main")[0]
-        files_source = dest_souce
-
-    }
-    else if (source_path.includes("blob/main")){
-        canonincal_source = dest_source.split("blob/main")[0]
-        tree_source = dest_source.split("blob/main")[0] + "tree/main"
-    }
-    else{
-        canonincal_source = source_path
-        tree_source = source_path + "tree/main"
-    }
-    let hf_model_uuid = canonincal_source.replace("https://huggingface.co/", "")
-    let hf_username = hf_model_uuid.split("/")[0]
-    let hf_model_name = hf_model_uuid.split("/")[1]
-
-    let formats = [hf_model_name, generate.id ]
-    if(hf_model_name != undefined){
-        generate.id = hf_model_name
-    }
-    if(generate.quantization != undefined){
-        generate.id = generate.id + "-" + generate.quantization
-    }
-    build_path = "/tmp/build/" + generate.id 
-    let clone_path = "/tmp/build/" + hf_model_name
-    //if(generate.format != undefined){
-    //    build_path = build_path + "@" + generate.format + "/" 
-    //}
-    generate.build_path = build_path
-
-    blob_source = canonincal_source + "/blob/main/"
-    readme_source = canonincal_source + "/blob/main/README.md"
-    config_source = canonincal_source + "/blob/main/config.json"
-    let resolve_main = canonincal_source + "/resolve/main/"
-    let manifest_path = path.join( build_path , 'manifest.json')
-
-    file_structure.push("/")
-
-    let get_tree_https = synchronousHttpGet(tree_source)
-    let get_readme_https = synchronousHttpGet(readme_source)
-    let get_config_https = synchronousHttpGet(config_source)
-    if (generate.format == "ggml" | generate.format == "gguf"){
-        let command_1 = 'git lfs install --skip-smudge ; git clone --depth 1 '
-        let command_2 = 'git config --global --add safe.directory \'*\' ; git ls-files'
-        let command_3 = 'rm -rf ' + build_path + '/*'
-        if (!fs.existsSync("/tmp/build/")){
-            child_process.execSync("mkdir /tmp/build")
-        }
-        if (fs.existsSync(build_path)){
-            child_process.execSync("rm -rf "+ build_path)
-            fs.mkdirSync(build_path)
-            fs.writeFileSync(manifest_path, JSON.stringify(manifest))
-        }
-        if (!fs.existsSync(clone_path)){
-            //console.log("/tmp/build/" + hf_model_name)
-            console.log("cd " + "/tmp/build/ ; " + command_1 + canonincal_source  )
-            let results_1
-            try{
-                let results_1 = child_process.execSync("cd " + "/tmp/build/ ; " + command_1 + canonincal_source )
-            }
-            catch(error){
-                console.log("command_1 failed")
-                console.log(command_1)
-                console.log(error)
-            }
-            finally{
-                if(results_1 != undefined){
-                    results_1 =  results_1.toString()
-                }
-            }
-        }
-        let results_2
-        try{
-            results_2 = child_process.execSync("cd " + clone_path + "/ ; " + command_2)
-        }
-        catch{
-            console.log("command_2 failed")
-            console.log(command_2)
-            console.log(error)
-        }
-        finally{
-            results_2 = results_2.toString()
-        }
-        let results_3
-        try{
-            results_3 = child_process.execSync("cd /tmp/build/" + hf_model_name + "/ ; " + command_3)
-        }
-        catch(error){
-            console.log("command_3 failed")
-            console.log(command_3)
-            console.log(error)
-        }
-        finally{
-            results_3 = results_3.toString()
-        }
-        fs.writeFileSync(manifest_path, JSON.stringify(manifest))
-        let tree_files2 = results_2.split("\n")
-        let filter_files = tree_files2
-
-        if (generate.quantization != undefined && (generate.format == "gguf" || generate.format == "ggml")){
-            filter_files = filter_files.filter(function (el) {
-                return (el.includes(generate.quantization) || el.includes(generate.quantization.toUpperCase()) || el.includes(generate.quantization.toLowerCase())); 
-            })
-        }
-
-        if (generate.format == "gguf" || generate.format == "ggml"){
-            filter_files = filter_files.filter(function (el) {
-                return (el.includes(generate.format) || el.includes(generate.format.toUpperCase()) || el.includes(generate.format.toLowerCase()));
-            })
-        }
-        else if(generate.format == "llama_fp32" || generate.format == "llama_fp16"){  
-            console.log()
-        }
-        if (!fs.existsSync(build_path)){
-            fs.mkdirSync(build_path)
-        }
-        let tree_objects = {}
-        for( var i = 0; i < filter_files.length; i++){
-            tree_objects[filter_files[i]] = resolve_main + filter_files[i]
-        }
-        let tree_file_names = Object.keys(tree_objects)
-        for(var i = 0; i < tree_file_names.length; i++){
-            file_structure.push("/" + tree_file_names[i])
-            let this_download_url = tree_objects[tree_file_names[i]]
-            let this_dest_path = path.join(build_path, tree_file_names[i])
-            let this_command = "wget -O " + this_dest_path + " " + this_download_url 
-            console.log("this_command: " + this_command )
-            let this_command_process = child_process.execSync(this_command, { stdio: 'ignore' })
-        }
-        let this_download_url
-        let this_dest_path
-        let this_command
-        let this_command_process
-        if(tree_files2.includes("README.md")){
-            try{
-                this_download_url = readme_source
-                this_dest_path = path.join(build_path, "/README.md")
-                this_command = "wget -O " + this_dest_path + " " + this_download_url
-                console.log("this_command: " + this_command )
-                this_command_process = child_process.execSync(this_command, { stdio: 'ignore' })
-            }
-            catch(error){
-                console.log ("no readme")
-                console.log(error)
-            }
-            finally{
-                file_structure.push("/README.md")
-                tree_objects["/README.md"] = readme_source
-                tree_file_names.push("/README.md")
-            }
-        }
-        if(tree_files2.includes("config.json")){
-            try{
-                this_download_url = config_source
-                this_dest_path = build_path + "config.json"
-                this_command = "wget -O " + this_dest_path + " " + this_download_url
-                console.log("this_command: " + this_command )
-                this_command_process = child_process.execSync(this_command, { stdio: 'ignore' })
-            }
-            catch(error){
-                console.log ("no readme")
-                console.log(error)
-            }    
-            finally{
-                file_structure.push("/config.json")
-                tree_objects["/README.md"] = readme_source
-                tree_file_names.push("/config.json")
-            }
-        }
-        manifest.metadata.folderData = folder_data(generate, manifest , build_path)
-        console.log("tree_objects: " + JSON.stringify(tree_objects))
-        console.log(manifest.metadata.folderData)
-        let command_4 = "rm -rf " + clone_path
-        console.log("command_4: " + command_4)  
-        let results_4
-        try {
-            results_4 = child_process.execSync(command_4)
-        }catch(error){
-            console.log("command_4 failed")
-            console.log(command_4)
-            console.log(error)
-        }
-        finally{
-            results_4 = results_4.toString()
-        }
-    }
-    else if(generate.format == "llama_fp32" || generate.format == "llama_fp16" || generate.format == "hf" || generate.format == "fp16" || generate.format == "fp32"){
-        let command_1 = 'git lfs install ; git clone --depth 1 '
-        let command_2 = 'git config --global --add safe.directory \'*\' ; git ls-files'
-        let build_path = "/tmp/build/" + hf_model_name 
-        //generate.build_path = build_path
-
-        if (fs.existsSync(build_path)){
-            child_process.execSync("rm -rf " + build_path)
-        }
-        if (!fs.existsSync(build_path)){
-            console.log("cd " + "/tmp/build/ ; " + command_1 + canonincal_source )
-            let results_1
-            try{
-                results_1 = child_process.execSync("cd " + "/tmp/build/ ; " + command_1 + canonincal_source )
-            }
-            catch(error){
-                console.log("command_1 failed")
-                console.log(command_1)
-                console.log(error)
-            }
-            finally{
-                results_1 =  results_1.toString()
-            }
-        }
-        let results_2
-        try{
-            results_2 = child_process.execSync("cd " + clone_path + " ; " + command_2)
-        }
-        catch(error){
-            console.log("command_2 failed")
-            console.log(command_2)
-            console.log(error)
-        }
-        finally{
-            console.log("command_2: cd " + clone_path + " ; " + command_2)
-            results_2 = results_2.toString()
-            results_2 = results_2.split("\n")
-        }
-        for(var files in results_2){
-            let this_file = "/" + results_2[files]
-            file_structure.push(this_file)
-        }
-        if (clone_path != build_path){
-            if (!fs.existsSync(build_path)){
-                fs.mkdirSync(build_path)
-            }
-
-            let command_3 = "mv " + clone_path + "/* " + build_path + "/; rm -rf " + clone_path  
-            console.log("command_3: " + command_3)
-            let results_3
-            try{
-                results_3 = child_process.execSync(command_3)
-            }
-            catch(error){
-                console.log("command_3 failed")
-                console.log(command_3)
-                console.log(error)
-            }
-            finally{
-                results_3 = results_3.toString()
-            }    
-        }
-    }
-    if(!fs.existsSync(build_path)){
-        fs.mkdirSync(build_path)
-    }
-
-    manifest.folderData = folder_data(manifest, generate, build_path)
-    manifest_path = path.join( build_path , 'manifest.json')
-    fs.writeFileSync(manifest_path, JSON.stringify(manifest))
-    return file_structure
-}
-
-export function import_civitai(generate, manifest, build_path){
-    let source_path = generate.source
-    let dest_path = build_path
-    // detect if file or directory
-    if (fs.existsDir(source_path)){
-        // copy directory
-        fs.copyDir(source_path, dest_path)
-    }
-    else{
-        // copy file
-        fs.copyFile(source_path, dest_path)
-    }
-    // write manifest as json
-    let manifest_path = build_path + 'manifest.json'
-    fs.writeFileSync(manifest_path, JSON.stringify(manifest))
-}
-
-export function import_local(generate, manifest, build_path){
-    let source_path = generate.source
-    let dest_path = build_path
-    let file_structure = []
-    // detect if file or directory
-    if (fs.existsSync(source_path)){
-        // copy directory
-        file_structure.push("/")
-        execSync("cp -r " + source_path + " " + dest_path)
-        let this_directory_tree = fs.walkDir(source_path)
-        for(var i = 0; i < this_directory_tree.length; i++){
-            file_structure.push(this_directory_tree[i])
-        }
-    }
-    else{
-        // copy file
-        fs.copyFile(source_path, dest_path)
-        file_structure.push("/")
-        file_structure.push("/" + dest_path)
-    }
-
-    if (!fs.existsSync(build_path + "README.md")){
-        fs.writeFileSync(build_path + "README.md", generate_readme(generate, manifest))
-    }
-    file_structure.push("README.md")
-    if(fs.existsSync(build_path + "config.json")){
-        file_structure.push("/config.json")
-    }
-    file_structure.push("/manifest.json")
-    let manifest_path = build_path + 'manifest.json'
-    let folderDict = {}
-    for (var i = 0; i < file_structure.length; i++){
-        let this_file = file_structure[i]
-        let this_md5 = generate_md5(this_file, build_path)
-        let this_size = fs.statSync(path.join(build_path,this_file)).size
-        folderDict[this_file] = {"md5": this_md5, "size": this_size}
-    }
-
-    manifest.metadata.folderData = folderDict
-    fs.writeFileSync(manifest_path, JSON.stringify(manifest))
-    return file_structure
-}
-
-export function import_s3(generate, manifest, build_path, s3bucket_name, secret_key, access_key, hostname){
-    let source_path = generate.source
-    let dest_path = build_path
-    // detect if file or directory
-    if (fs.existsDir(source_path)){
-        // copy directory
-        fs.copyDir(source_path, dest_path)
-    }
-    else{
-        // copy file
-        fs.copyFile(source_path, dest_path)
-    }
-    // write manifest as json
-    let manifest_path = build_path + 'manifest.json'
-    fs.writeFileSync(manifest_path, JSON.stringify(manifest))     
-}
-
-
-export function generate_file_list(generate, manifest, file_list){
-    let this_path
-    let file_dict = {}
-    if(generate.build_path != undefined){
-        this_path = generate.build_path
-    }
-
-    for(var i =  0; i < file_list.length; i++){
-        file_dict[file_list[i]] = {"md5": generate_md5(file_list[i], this_path), "size": fs.statSync(path.join(this_path,file_list[i])).size}
-    }
-    manifest.folderData = file_dict
-    return file_dict
-}
-
-export function import_source(generate, manifest, collection){
-    console.log("import source")
-    console.log("generate")
-    console.log(generate)
-    console.log("manifest")
-    console.log(manifest)
-    console.log("collection")
-    console.log(Object.keys(collection))
-
-    let check_id = generate.id
-    let check_pass = true
-    let destPath = generate.destPath
-    let collection_keys = Object.keys(collection)
-    if (Object.keys(collection).includes(check_id)){
-        let check_folder = collection[check_id].folderData
-        let check_folder_keys = Object.keys(check_folder)
-        for( var i = 0; i < check_folder_keys.length; i++){
-            let this_file = check_folder_keys[i]
-            let this_file_path = path.join(destPath, this_file)
-            if(fs.existsSync(this_file_path)){
-                let this_file_size = fs.statSync(this_file_path).size
-                let check_folder_size = check_folder[this_file].size
-                if(!this_file.includes("manifest.json")){
-                    if (this_file_size != check_folder_size){
-                        check_pass = false
-                    }    
-                }
-            }else{
-                check_pass = false
-            }
-        }
-    }
-    else{
-        check_pass = false
-    }
-    // force import
-    // TODO: add fix this logic when prompting.
-    check_pass = false
-    if (check_pass == false){
-        if (generate.id == undefined){
-            if (generate.modelName != undefined){
-                if (generate.quantization != undefined && generate.quantization != "none" && generate.quantization != undefined){
-                    generate.id = generate.modelName + "-" + generate.parameters + "-" + generate.quantization
-                }
-                else{
-                    if (generate.parameters != undefined){
-                        generate.id = generate.modelName + "-" + generate.parameters
-                    }
-                    else if(generate.quantization != undefined && generate.quantization != "none"){
-                        generate.id = generate.modelName + "-" + generate.quantization 
-                    }
-                }
-            }
-            else{
-                console.log(generate)
-
-                throw("generate.id is undefined and generate.modelName is undefined")
-            }
-        }
-        let build_path = "/tmp/build/" + generate.id
-        if (generate.format != undefined){
-            //build_path = build_path + "@" + generate.format
-        }
-        build_path = build_path + "/"
-        generate.build_path = build_path
-        if (generate.location == 'local'){
-            import_local(generate, manifest, build_path)
-        }
-        if (generate.location == 's3'){
-            import_s3(generate, manifest, build_path)
-        }
-        if (generate.location == 'huggingface'){
-            import_hf(generate, manifest, build_path)
-        }
-        if (generate.location == 'civitai'){
-            import_civitai(generate, manifest, build_path)
-        }
-        return build_path
-    }
-    else{
-        generate.build_path = generate.destPath
-        return true
-    }
-}
-
-
-export function package_model_data(generate, manifest, collection){
-    let this_path = import_source(generate, manifest, collection)
-    //let this_path = path.join("/tmp/build",generate.modelName)
-    //generate.build_path = this_path + "-" + generate.quantization + "@" + "gguf"
-    let file_list = [] 
-    let converted_list = convert_model(generate, manifest, this_path)
-    file_list = file_list.concat(converted_list)
-    //let file_list = ["/README.md", "/cinematika-7b-v0.1-Q4_K_M.gguf", "/manifest.json", "/"]
-    let readme_path = path.join(generate.build_path, "README.md")
-    if (!fs.existsSync(readme_path)){
-        let readme = generate_readme(generate, manifest)
-        if(readme != undefined){
-            fs.writeFileSync(readme_path, readme)
-        }
-    }
-    else{
-        if (fs.statSync(readme_path).size < 8){
-            let readme = generate_readme(generate, manifest)
-            fs.writeFileSync(readme_path, readme)    
-        }
-    }
-    file_list.push("/README.md")
-    let file_dict = generate_file_list(generate, manifest, file_list)
-    return file_dict
-}
-
diff --git a/huggingface_scraper/process_manifest_test.js b/huggingface_scraper/process_manifest_test.js
deleted file mode 100644
index 4212850..0000000
--- a/huggingface_scraper/process_manifest_test.js
+++ /dev/null
@@ -1,115 +0,0 @@
-import fs from 'fs'
-import path from 'path'
-import * as process_manifest from './process_manifest.js'
-
-let manifest = {
-    
-}
-
-let generate = {
-
-}
-
-
-//process_manifest.main();
-function test1(){
-    let huggingface_dl_source = "https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/"
-    let generate = {}
-    generate.id = "zephyr-7B-beta-GGUF"
-    generate.source = huggingface_dl_source
-    generate.format = "gguf"
-    generate.quantization = "Q4_K_M"
-    let build_path = "/tmp/test/"
-    build_path  = path.resolve(build_path)
-    import_hf(generate, manifest, build_path, 1)    
-}
-
-function test2(){
-    let generate ={}
-    let path = "/storage/civitai-models/civitai-1093.ckpt"
-    generate.skill = "diffusion"
-    generate.format = "ckpt"
-    convert_model(generate, manifest, path)
-}
-
-function test3(){
-    let generate ={}
-    let folder = "/storage/civitai-models/"
-    generate.skill = "diffusion"
-    generate.format = "ckpt"
-    let file_list = fs.readdirSync(folder)
-    for(var file in file_list){
-        let this_file = file_list[file]
-        let this_path = path.join(folder, this_file)
-        if(this_path.endsWith(".ckpt")){
-            try{
-                convert_model(generate, manifest, this_path)
-            }
-            catch(error){
-                console.log(error)
-            }
-            finally{
-                console.log("done")
-                // do we need to remove the file?
-            }
-        }
-    }
-} 
-
-export function test4(){
-    let generate = {}
-    let manifest = {}
-    generate.skill = "llama_cpp"
-    generate.format = "llama_fp32"
-    generate.quantization = "Q4_K_M"
-    let folder = "/storage/cloudkit-models/airoboros-l2-13b-3.1.1/"
-    convert_model(generate, manifest, folder)
-}
-
-
-export function test5(){
-    generate.modelName = "cinematika-7b-v0.1"
-    generate.skill = "llama_cpp"
-    generate.format = "llama_fp32"
-    generate.quantization = "Q4_K_M"
-    generate.id = "cinematika-7b-v0.1-" + generate.quantization 
-    manifest.id = "cinematika-7b-v0.1-" + generate.quantization
-    manifest.format = generate.format
-    manifest.hwRequirements = {}
-    manifest.metadata = {}
-    generate.parameters = 7 * 1024 * 1024 * 1024
-    generate.location = 'huggingface'
-    generate.source = "https://huggingface.co/jondurbin/cinematika-7b-v0.1"
-    let folder = "/storage/cloudkit-models/cinematika-7b-v0.1/"
-    var process = new process_manifest.process_manifest()
-    process.__init__()
-    process.main(generate, manifest, folder)
-    console.log(process)
-}
-
-function test6(){
-    let collection_path = "/storage/cloudkit-models/collection.json"
-    let mysql_creds = {
-        host: "swissknife.mwni.io",
-        user: "swissknife",
-        password: "W5!LIGO[pRPO0SdH",
-        database: "swissknife",
-    }
-    let collection = fs.readFileSync(collection_path)
-    collection = JSON.parse(collection)
-    let models = process_manifest.get_mysql_table(mysql_creds,"Checkpoint_bak")
-    process_manifest.update_collection_mysql(collection, collection_path, mysql_creds)
-    return collection
-}
-
-
-//let test = process_manifest.get_pinset()
-
-
-test6()
-
-//test5()
-
-//test4()
-
-//test3()
\ No newline at end of file
diff --git a/huggingface_scraper/quantize_gguf.js b/huggingface_scraper/quantize_gguf.js
deleted file mode 100644
index 8d1c8b6..0000000
--- a/huggingface_scraper/quantize_gguf.js
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/huggingface_scraper/readme-generate.js b/huggingface_scraper/readme-generate.js
deleted file mode 100644
index f5df915..0000000
--- a/huggingface_scraper/readme-generate.js
+++ /dev/null
@@ -1,55 +0,0 @@
-
-export function generate_readme_diffusion(){
-    let readme = "# Diffusion Model\n"
-    return readme
-}
-
-export function generate_readme_llama_cpp(){
-    let readme = "# Llama Model\n"
-    return readme
-}
-
-export function generate_readme_hf_transformers(){
-    let readme = "# HF Transformers Model\n"
-    return readme
-}
-
-export function generate_readme_knn(){
-    let readme = "# KNN Model\n"
-    return readme
-}
-
-export function generate_readme_hf_embed(){
-    let readme = "# HF Embed Model\n"
-    return readme
-}
-
-export function generate_readme_faster_whisper(){
-    let readme = "# HF faster_whisper Model\n"
-    return readme
-}
-
-
-export function generate_readme(generate, manifest){
-    if(generate.skill == "diffusion"){
-        return generate_readme_diffusion()
-    }
-    if(generate.skill == "llama_cpp"){
-        return generate_readme_llama_cpp()
-    }
-    if(generate.skill == "hf_transformers"){
-        return generate_readme_hf_transformers()
-    }
-    if(generate.skill == "hf_t5"){
-        return generate_readme_hf_transformers()
-    }
-    if(generate.skill == "knn"){
-        return generate_readme_knn()
-    }
-    if(generate.skill == "hf_embed"){
-        return generate_readme_hf_embed()
-    }
-    if(generate.skill == "hf_faster_whisper"){
-        return generate_readme_faster_whisper()
-    }
-}
\ No newline at end of file
diff --git a/huggingface_scraper/s3.js b/huggingface_scraper/s3.js
deleted file mode 100644
index 801d765..0000000
--- a/huggingface_scraper/s3.js
+++ /dev/null
@@ -1,37 +0,0 @@
-import { PassThrough } from 'stream'
-import { S3Client } from '@aws-sdk/client-s3'
-import { Upload } from '@aws-sdk/lib-storage'
-
-
-export function createClient({ accesKey, secretKey, endpoint }){
-	return new S3Client({
-		region: 'US',
-		credentials: {
-			accessKeyId: accesKey,
-			secretAccessKey: secretKey
-		},
-		endpoint
-	})
-}
-
-export function createUploadStream({ s3, bucket, key }){
-	let stream = new PassThrough()
-	let upload = new Upload({
-		client: s3,
-		leavePartsOnError: false,
-		params: {
-			Bucket: bucket,
-			Key: key,
-			Body: stream
-		}
-	})
-
-	upload.on('httpUploadProgress', progress => {
-		console.log(`uploaded ${progress.loaded / 1_000_000} MBs`)
-	})
-
-	return {
-		stream,
-		promise: upload.done()
-	}
-}
\ No newline at end of file
diff --git a/huggingface_scraper/s3_kit.js b/huggingface_scraper/s3_kit.js
deleted file mode 100644
index ef3e9cf..0000000
--- a/huggingface_scraper/s3_kit.js
+++ /dev/null
@@ -1,706 +0,0 @@
-import AWS from 'aws-sdk';
-import fs from 'fs';
-import path from 'path';
-import os from 'os';
-import util from 'util';
-import { ObjectLockEnabled } from '@aws-sdk/client-s3';
-
-export class S3Kit {
-	constructor(resources, meta = null) {
-		this.bucket = null;
-		this.bucketFiles = null;
-		this.cpDir = this.s3CpDir;
-		this.cpFile = this.s3CpFile;
-		this.rmDir = this.s3RmDir;
-		this.rmFile = this.s3RmFile;
-		this.lsDir = this.s3LsDir;
-		this.lsFile = this.s3LsFile;
-		this.mvDir = this.s3MvDir;
-		this.mvFile = this.s3MvFile;
-		this.dlDir = this.s3DlDir;
-		this.dlFile = this.s3DlFile;
-		this.ulDir = this.s3UlDir;
-		this.ulFile = this.s3UlFile;
-		this.mkDir = this.s3MkDir;
-		this.getSession = this.getSession;
-		if (meta !== null) {
-			if ('s3cfg' in meta) {
-				if (meta['s3cfg'] !== null) {
-					this.config = meta['s3cfg'];
-					this.getSession(meta['s3cfg']);
-				}
-			}
-		}
-		this.s3 = new AWS.S3(this.config);
-	}
-
-	call(method, kwargs) {
-		if (method === 'ls_dir') {
-			this.method = 'ls_dir';
-			return this.s3LsDir(kwargs);
-		}
-		if (method === 'rm_dir') {
-			this.method = 'rm_dir';
-			return this.s3RmDir(kwargs);
-		}
-		if (method === 'cp_dir') {
-			this.method = 'cp_dir';
-			return this.s3CpDir(kwargs);
-		}
-		if (method === 'mv_dir') {
-			this.method = 'mv_dir';
-			return this.s3MvDir(kwargs);
-		}
-		if (method === 'dl_dir') {
-			this.method = 'dl_dir';
-			return this.s3DlDir(kwargs);
-		}
-		if (method === 'ul_dir') {
-			this.method = 'ul_dir';
-			return this.s3UlDir(kwargs);
-		}
-		if (method === 'ls_file') {
-			this.method = 'ls_file';
-			return this.s3LsFile(kwargs);
-		}
-		if (method === 'rm_file') {
-			this.method = 'rm_file';
-			return this.s3RmFile(kwargs);
-		}
-		if (method === 'cp_file') {
-			this.method = 'cp_file';
-			return this.s3CpFile(kwargs);
-		}
-		if (method === 'mv_file') {
-			this.method = 'mv_file';
-			return this.s3MvFile(kwargs);
-		}
-		if (method === 'dl_file') {
-			this.method = 'dl_file';
-			return this.s3DlFile(kwargs);
-		}
-		if (method === 'ul_file') {
-			this.method = 'ul_file';
-			return this.s3UlFile(kwargs);
-		}
-		if (method === 'mk_dir') {
-			this.method = 'mk_dir';
-			return this.s3MkDir(kwargs);
-		}
-		if (method === 'get_session') {
-			this.method = 'get_session';
-			return this.getSession(kwargs);
-		}
-		if (method === 'config_to_boto') {
-			this.method = 'config_to_boto';
-			return this.configToBoto(kwargs);
-		}
-	}
-
-		
-	async s3LsDir(dir, bucketName, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-				Bucket: bucketName,
-				Prefix: dir
-		};
-		return new Promise((resolve, reject) => {
-				s3.listObjectsV2(params, function(err, data) {
-				if (err) reject(err);
-				else {
-						let objects = data.Contents.map(obj => {
-						return {
-								key: obj.Key,
-								last_modified: moment(obj.LastModified).unix(),
-								size: obj.Size,
-								e_tag: obj.ETag
-						};
-						});
-						resolve(objects);
-				}
-				});
-		});
-		}
-
-	async s3RmDir(dir, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-				Bucket: bucket,
-				Prefix: dir
-		};
-		return new Promise((resolve, reject) => {
-				s3.listObjectsV2(params, function(err, data) {
-				if (err) reject(err);
-				else {
-						let objects = data.Contents.map(obj => {
-						return {
-								key: obj.Key,
-								e_tag: obj.ETag,
-								last_modified: moment(obj.LastModified).unix(),
-								size: obj.Size
-						};
-						});
-						let deleteParams = {
-						Bucket: bucket,
-						Delete: {
-								Objects: objects.map(obj => { return {Key: obj.key}; }),
-								Quiet: false
-						}
-						};
-						s3.deleteObjects(deleteParams, function(err, data) {
-						if (err) reject(err);
-						else resolve(objects);
-						});
-				}
-				});
-		});
-		}
-		
-	async s3CpDir(srcPath, dstPath, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-			Bucket: bucket,
-			Prefix: srcPath
-		};
-		return new Promise((resolve, reject) => {
-			s3.listObjectsV2(params, function(err, data) {
-				if (err) reject(err);
-				else {
-					let directory = {};
-					let copyPromises = data.Contents.map(obj => {
-						let srcKey = obj.Key;
-						let dstKey = srcKey.replace(srcPath, dstPath);
-						if (srcKey !== srcPath) {
-							let copyParams = {
-								Bucket: bucket,
-								CopySource: bucket + '/' + srcKey,
-								Key: dstKey
-							};
-							return s3.copyObject(copyParams).promise().then(copyData => {
-								directory[obj.Key] = {
-									key: srcKey,
-									e_tag: obj.ETag,
-									last_modified: moment(copyData.CopyObjectResult.LastModified).unix(),
-									size: obj.Size
-								};
-							});
-						}
-					});
-					Promise.all(copyPromises).then(() => resolve(directory));
-				}
-			});
-		});
-	}
-	
-	async s3MvDir(srcPath, dstPath, bucket, kwargs) {
-			let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-			let s3 = new AWS.S3(this.configToBoto(s3Config));
-			let params = {
-				Bucket: bucket,
-				Prefix: srcPath
-			};
-			return new Promise((resolve, reject) => {
-				s3.listObjectsV2(params, function(err, data) {
-					if (err) reject(err);
-					else {
-						let directory = {};
-						let movePromises = data.Contents.map(obj => {
-							let srcKey = obj.Key;
-							let dstKey = srcKey.replace(srcPath, dstPath);
-							if (srcKey !== srcPath) {
-								let copyParams = {
-									Bucket: bucket,
-									CopySource: bucket + '/' + srcKey,
-									Key: dstKey
-								};
-								return s3.copyObject(copyParams).promise().then(copyData => {
-									let deleteParams = {
-										Bucket: bucket,
-										Key: srcKey
-									};
-									return s3.deleteObject(deleteParams).promise().then(() => {
-										directory[obj.Key] = {
-											key: srcKey,
-											e_tag: obj.ETag,
-											last_modified: moment(copyData.CopyObjectResult.LastModified).unix(),
-											size: obj.Size
-										};
-									});
-								});
-							}
-						});
-						Promise.all(movePromises).then(() => resolve(directory));
-					}
-				});
-			});
-		}
-		
-	async s3DlDir(remotePath, localPath, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-			Bucket: bucket,
-			Prefix: remotePath
-		};
-		return new Promise((resolve, reject) => {
-			s3.listObjectsV2(params, function(err, data) {
-				if (err) reject(err);
-				else {
-					let directory = {};
-					let downloadPromises = data.Contents.map(obj => {
-						let getParams = {
-							Bucket: bucket,
-							Key: obj.Key
-						};
-						return s3.getObject(getParams).promise().then(data => {
-							let filename = path.basename(obj.Key);
-							if (!fs.existsSync(localPath)) {
-								fs.mkdirSync(localPath, { recursive: true });
-							}
-							let localFile = path.join(localPath, filename);
-							fs.writeFileSync(localFile, data.Body);
-							directory[obj.Key] = {
-								key: obj.Key,
-								last_modified: moment(obj.LastModified).unix(),
-								size: obj.Size,
-								e_tag: obj.ETag
-							};
-						});
-					});
-					Promise.all(downloadPromises).then(() => resolve(directory));
-				}
-			});
-		});
-	}
-	
-	async s3UlDir(localPath, remotePath, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let files = fs.readdirSync(localPath).map(file => path.join(localPath, file));
-		let results = {};
-		let uploadPromises = files.map(uploadFile => {
-			if (fs.lstatSync(uploadFile).isFile()) {
-				let uploadKey = path.join(remotePath, path.basename(uploadFile));
-				let fileStream = fs.createReadStream(uploadFile);
-				let uploadParams = {
-					Bucket: bucket,
-					Key: uploadKey,
-					Body: fileStream
-				};
-				return s3.upload(uploadParams).promise().then(response => {
-					results[response.Key] = {
-						key: response.Key,
-						last_modified: moment(response.LastModified).unix(),
-						size: response.ContentLength,
-						e_tag: response.ETag
-					};
-				});
-			} else {
-				throw new Error("uploadFile must be a file");
-			}
-		});
-		return Promise.all(uploadPromises).then(() => results);
-	}
-
-	async s3LsFile(filekey, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-			Bucket: bucket,
-			Prefix: filekey
-		};
-		return new Promise((resolve, reject) => {
-			s3.listObjectsV2(params, function(err, data) {
-				if (err) reject(err);
-				else {
-					if (data.Contents.length === 0) resolve(false);
-					else {
-						let directory = {};
-						data.Contents.forEach(obj => {
-							directory[obj.Key] = {
-								key: obj.Key,
-								last_modified: moment(obj.LastModified).unix(),
-								size: obj.Size,
-								e_tag: obj.ETag
-							};
-						});
-						resolve(directory);
-					}
-				}
-			});
-		});
-	}
-
-	async s3RmFile(thisPath, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-			Bucket: bucket,
-			Key: thisPath
-		};
-		return new Promise((resolve, reject) => {
-			s3.deleteObject(params, function(err, data) {
-				if (err) reject(err);
-				else {
-					resolve({
-						key: thisPath,
-						e_tag: data.DeleteMarker ? data.DeleteMarker : null,
-						last_modified: moment().unix(),
-						size: null
-					});
-				}
-			});
-		});
-	}
-		
-	async s3CpFile(srcPath, dstPath, bucket, kwargs) {
-		let s3Config = kwargs && kwargs.s3cfg ? kwargs.s3cfg : this.config;
-		let s3 = new AWS.S3(this.configToBoto(s3Config));
-		let params = {
-			Bucket: bucket,
-			CopySource: `${bucket}/${srcPath}`,
-			Key: dstPath
-		};
-		return new Promise((resolve, reject) => {
-			s3.copyObject(params, function(err, data) {
-				if (err) reject(err);
-				else {
-					resolve({
-						key: dstPath,
-						e_tag: data.CopyObjectResult ? data.CopyObjectResult.ETag : null,
-						last_modified: data.CopyObjectResult ? moment(data.CopyObjectResult.LastModified).unix() : null,
-						size: null
-					});
-				}
-			});
-		});
-	}
-
-	async s3MvFile(srcPath, dstPath, bucket, kwargs = {}) {
-		const s3Config = kwargs.s3cfg || this.config;
-		const s3 = new AWS.S3(this.configToBoto(s3Config));
-		const copyParams = {
-			Bucket: bucket,
-			CopySource: `${bucket}/${srcPath}`,
-			Key: dstPath
-		};
-		const copyData = await s3.copyObject(copyParams).promise();
-		const deleteParams = {
-			Bucket: bucket,
-			Key: srcPath
-		};
-		await s3.deleteObject(deleteParams).promise();
-		return {
-			key: dstPath,
-			e_tag: copyData.CopyObjectResult.ETag,
-			last_modified: moment(copyData.CopyObjectResult.LastModified).unix(),
-			size: copyData.CopyObjectResult.ContentLength
-		};
-	}
-		
-	async s3DlFile(remotePath, localPath, bucket, kwargs = {}) {
-		const s3Config = kwargs.s3cfg || this.config;
-		const s3 = new AWS.S3(this.configToBoto(s3Config));
-		if (remotePath.includes('s3://')) {
-			remotePath = remotePath.replace('s3://', '').replace(`${bucket}/`, '');
-		}
-		const params = {
-			Bucket: bucket,
-			Key: remotePath
-		};
-		const data = await s3.getObject(params).promise();
-		fs.writeFileSync(localPath, data.Body);
-		return {
-			key: remotePath,
-			last_modified: moment(data.LastModified).unix(),
-			size: data.ContentLength,
-			e_tag: data.ETag,
-			local_path: localPath
-		};
-	}
-
-
-	async s3UlFile(uploadFile, path, bucket, kwargs = {}) {
-		const s3Config = kwargs.s3cfg || this.config;
-		const s3 = new AWS.S3(this.configToBoto(s3Config));
-		let fileData;
-		let fileExtension;
-		if (fs.existsSync(uploadFile)) {
-			fileData = fs.readFileSync(uploadFile);
-			fileExtension = path.extname(uploadFile);
-		} else {
-			fileData = Buffer.from(uploadFile);
-			fileExtension = path.extname(path);
-		}
-		let thisTempFile = await new Promise((resolve, reject) => {
-			tmpFile.createTempFile({  postfix: '.json', dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-					if (err) {
-							reject(err);
-					} else {
-							resolve({ name: path, fd, removeCallback: cleanupCallback });
-					}
-			});
-			fs.writeFileSync(tmpFile.name, fileData);
-		});
-
-		const params = {
-			Bucket: bucket,
-			Key: path,
-			Body: fs.createReadStream(tmpFile.name)
-		};
-		const data = await s3.putObject(params).promise();
-		return {
-			key: data.Key,
-			last_modified: moment(data.LastModified).unix(),
-			size: data.ContentLength,
-			e_tag: data.ETag
-		};
-	}
-		
-	async s3MkDir(path, bucket, kwargs = {}) {
-		const s3Config = kwargs.s3cfg || this.config;
-		const s3 = new AWS.S3(this.configToBoto(s3Config));
-		const params = {
-			Bucket: bucket,
-			Key: path,
-			Body: ''
-		};
-		const data = await s3.putObject(params).promise();
-		return {
-			key: data.Key,
-			last_modified: moment(data.LastModified).unix(),
-			size: data.ContentLength,
-			e_tag: data.ETag
-		};
-	}
-
-	async s3UploadObject(f, bucket, key, s3Config, progressCallback) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Key: key,
-			Body: fs.createReadStream(f)
-		};
-		return s3.upload(params, progressCallback).promise();
-	}
-
-	async s3DownloadObject(f, bucket, key, s3Config, progressCallback) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Key: key
-		};
-		const fileStream = fs.createWriteStream(f);
-		const downloadStream = s3.getObject(params).createReadStream();
-		downloadStream.on('data', progressCallback);
-		downloadStream.pipe(fileStream);
-		return new Promise((resolve, reject) => {
-			fileStream.on('finish', resolve);
-			fileStream.on('error', reject);
-		});
-	}
-
-	async uploadDir(dir, bucket, s3Config, progressCallback) {
-		const s3 = this.getSession(s3Config);
-		const files = fs.readdirSync(dir);
-		for (const file of files) {
-			const filePath = path.join(dir, file);
-			const params = {
-				Bucket: bucket,
-				Key: file,
-				Body: fs.createReadStream(filePath)
-			};
-			await s3.upload(params, progressCallback).promise();
-		}
-	}
-
-
-	async downloadDir(dir, bucket, s3Config, progressCallback) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Prefix: dir
-		};
-		const data = await s3.listObjectsV2(params).promise();
-		for (const object of data.Contents) {
-			const fileStream = fs.createWriteStream(path.join(dir, object.Key));
-			const downloadStream = s3.getObject({ Bucket: bucket, Key: object.Key }).createReadStream();
-			downloadStream.on('data', progressCallback);
-			downloadStream.pipe(fileStream);
-			await new Promise((resolve, reject) => {
-				fileStream.on('finish', resolve);
-				fileStream.on('error', reject);
-			});
-		}
-	}
-
-	async s3ReadDir(dir, bucket, s3Config) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Prefix: dir
-		};
-		const data = await s3.listObjectsV2(params).promise();
-		const directory = {};
-		for (const object of data.Contents) {
-			const metadata = {
-				key: object.Key,
-				last_modified: moment(object.LastModified).unix(),
-				size: object.Size,
-				e_tag: object.ETag
-			};
-			directory[object.Key] = metadata;
-		}
-		return directory;
-	}
-
-	async s3DownloadObject(f, bucket, key, s3Config, progressCallback) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Key: key
-		};
-		const fileStream = fs.createWriteStream(f);
-		const downloadStream = s3.getObject(params).createReadStream();
-		downloadStream.on('data', progressCallback);
-		downloadStream.pipe(fileStream);
-		return new Promise((resolve, reject) => {
-			fileStream.on('finish', resolve);
-			fileStream.on('error', reject);
-		});
-	}
-
-
-	async s3Mkdir(dir, bucket, s3Config) {
-		const s3 = this.getSession(s3Config);
-		const params = {
-			Bucket: bucket,
-			Key: dir,
-			Body: ''
-		};
-		return s3.putObject(params).promise();
-	}
-
-	async getSession(s3Config) {
-		if (!this.session) {
-			this.session = new AWS.S3(this.configToBoto(s3Config));
-		}
-		return this.session;
-	}
-
-	async configToBoto(s3Config) {
-		if (Object.keys(s3Config).includes('accessKey')) {
-			const results = {
-				accessKeyId: s3Config['accessKey'],
-				secretAccessKey: s3Config['secretKey'],
-				endpoint: s3Config['endpoint']
-			};
-			this.config = results;
-			return results;
-		} else if (Object.keys(s3Config).includes('aws_access_key_id')) {
-			const results = {
-				accessKeyId: s3Config['aws_access_key_id'],
-				secretAccessKey: s3Config['aws_secret_access_key'],
-				endpoint: s3Config['endpoint_url']
-			};
-			this.config = results;
-			return results;
-		} else {
-			throw new Error("s3_config must contain accessKey, secretKey, and endpoint");
-		}
-	}
-
-	async test() {
-		const endpoint = "https://object.ord1.coreweave.com";
-		const accessKey = "OVEXCZJJQPUGXZOV";
-		const secretKey = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-		const bucket = "swissknife-models";
-		const dir = "bge-base-en-v1.5@hf";
-		const config = {
-			accessKey: accessKey,
-			secretKey: secretKey,
-			endpoint: endpoint,
-		};
-		this.configToBoto(config);
-		const s3 = this.getSession(config);
-		const params = {
-			Bucket: bucket,
-			Prefix: dir
-		};
-		const data = await thiss3.listObjectsV2(params).promise();
-		const directory = {};
-		data.Contents.forEach((obj) => {
-			directory[obj.Key] = {
-				key: obj.Key,
-				last_modified: obj.LastModified,
-				size: obj.Size,
-				e_tag: obj.ETag,
-			};
-		});
-		return directory;
-	}
-
-
-	async test2() {
-		const endpoint = "https://object.ord1.coreweave.com";
-		const accessKey = "OVEXCZJJQPUGXZOV";
-		const secretKey = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-		const bucket = "cloudkit-beta";
-		const keys = [
-			'stablelm-zephyr-3b-GGUF-Q2_K@gguf/manifest.json',
-			'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/README.md',
-			'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/config.json',
-			'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/manifest.json',
-			'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/stablelm-zephyr-3b.Q2_K.gguf'
-		];
-		const config = {
-			accessKeyId: accessKey,
-			secretAccessKey: secretKey,
-			endpoint: endpoint,
-		};
-		const s3 = new AWS.S3(config);
-		const results = [];
-		for (const key of keys) {
-			const params = {
-				Bucket: bucket,
-				Key: key
-			};
-			const data = await s3.getObject(params).promise();
-			results.push(data);
-		}
-		return results;
-	}
-
-	async test3() {
-		const endpoint = "https://object.ord1.coreweave.com";
-		const accessKey = "OVEXCZJJQPUGXZOV";
-		const secretKey = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-		const bucket = "cloudkit-beta";
-		const key = 'Airoboros-c34B-3.1.2-GGUF-Q4_0-Q4_0@gguf/README.md';
-		const config = {
-			accessKeyId: accessKey,
-			secretAccessKey: secretKey,
-			endpoint: endpoint,
-		};
-		const s3 = new AWS.S3(config);
-		const params = {
-			Bucket: bucket,
-			Key: key
-		};
-		const data = await s3.getObject(params).promise();
-		return data;
-	}
-}
-
-
-async function main() {
-		const testThis = new S3Kit();
-		await testThis.test();
-		await testThis.test2();
-		await testThis.test3();
-}
-
-//main();
\ No newline at end of file
diff --git a/huggingface_scraper/s3_kit/s3_kit.js b/huggingface_scraper/s3_kit/s3_kit.js
deleted file mode 100644
index ee0c64b..0000000
--- a/huggingface_scraper/s3_kit/s3_kit.js
+++ /dev/null
@@ -1,894 +0,0 @@
-const AWS = require('aws-sdk');
-const fs = require('fs');
-const path = require('path');
-const AWS = require('aws-sdk');
-const fs = require('fs');
-const pathModule = require('path');
-const tmp = require('tmp-promise');
-
-class S3Kit {
-    constructor(resources, meta = null) {
-        this.config = null;
-        this.session = null;
-        this.bucket = null;
-        this.bucket_files = null;
-        this.cp_dir = this.s3_cp_dir;
-        this.cp_file = this.s3_cp_file;
-        this.rm_dir = this.s3_rm_dir;
-        this.rm_file = this.s3_rm_file;
-        this.ls_dir = this.s3_ls_dir;
-        this.ls_file = this.s3_ls_file;
-        this.mv_dir = this.s3_mv_dir;
-        this.mv_file = this.s3_mv_file;
-        this.dl_dir = this.s3_dl_dir;
-        this.dl_file = this.s3_dl_file;
-        this.ul_dir = this.s3_ul_dir;
-        this.ul_file = this.s3_ul_file;
-        this.mk_dir = this.s3_mk_dir;
-        this.get_session = this.get_session;
-        if (meta !== null) {
-            if ("s3cfg" in meta) {
-                if (meta['s3cfg'] !== null) {
-                    this.config = meta['s3cfg'];
-                    this.get_session(meta['s3cfg']);
-                }
-            }
-        }
-    }
-
-    call(method, kwargs) {
-        if (method === 'ls_dir') {
-            this.method = 'ls_dir';
-            return this.s3_ls_dir(kwargs);
-        }
-        if (method === 'rm_dir') {
-            this.method = 'rm_dir';
-            return this.s3_rm_dir(kwargs);
-        }
-        if (method === 'cp_dir') {
-            this.method = 'cp_dir';
-            return this.s3_cp_dir(kwargs);
-        }
-        if (method === 'mv_dir') {
-            this.method = 'mv_dir';
-            return this.s3_mv_dir(kwargs);
-        }
-        if (method === 'dl_dir') {
-            this.method = 'dl_dir';
-            return this.s3_dl_dir(kwargs);
-        }
-        if (method === 'ul_dir') {
-            this.method = 'ul_dir';
-            return this.s3_ul_dir(kwargs);
-        }
-        if (method === 'ls_file') {
-            this.method = 'ls_file';
-            return this.s3_ls_file(kwargs);
-        }
-        if (method === 'rm_file') {
-            this.method = 'rm_file';
-            return this.s3_rm_file(kwargs);
-        }
-        if (method === 'cp_file') {
-            this.method = 'cp_file';
-            return this.s3_cp_file(kwargs);
-        }
-        if (method === 'mv_file') {
-            this.method = 'mv_file';
-            return this.s3_mv_file(kwargs);
-        }
-        if (method === 'dl_file') {
-            this.method = 'dl_file';
-            return this.s3_dl_file(kwargs);
-        }
-        if (method === 'ul_file') {
-            this.method = 'ul_file';
-            return this.s3_ul_file(kwargs);
-        }
-        if (method === 'mk_dir') {
-            this.method = 'mk_dir';
-            return this.s3_mkdir(kwargs);
-        }
-        if (method === 'get_session') {
-            this.method = 'get_session';
-            return this.get_session(kwargs);
-        }
-        if (method === 'config_to_boto') {
-            this.method = 'config_to_boto';
-            return this.config_to_boto(kwargs);
-        }
-    }
-
-    async s3_ls_dir(dir, bucket_name, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket_name,
-            Prefix: dir
-        };
-    
-        const data = await s3.listObjectsV2(params).promise();
-        const objects = data.Contents.map(obj => {
-            return {
-                key: obj.Key,
-                last_modified: new Date(obj.LastModified).getTime() / 1000,
-                size: obj.Size,
-                e_tag: obj.ETag
-            };
-        });
-    
-        return objects
-    }
-    async s3_rm_dir(dir, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Prefix: dir
-        };
-    
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = [];
-    
-        for (let obj of data.Contents) {
-            const deleteParams = {
-                Bucket: bucket,
-                Key: obj.Key
-            };
-    
-            await s3.deleteObject(deleteParams).promise();
-    
-            directory.push({
-                key: obj.Key,
-                e_tag: obj.ETag,
-                last_modified: new Date(obj.LastModified).getTime() / 1000,
-                size: obj.Size
-            });
-        }
-    
-        return directory;
-    }
-
-
-    async s3_cp_dir(src_path, dst_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Prefix: src_path
-        };
-    
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = {};
-    
-        for (let obj of data.Contents) {
-            const src_key = obj.Key;
-            const dst_key = src_key.replace(src_path, dst_path);
-    
-            if (src_key !== src_path) {
-                const copyParams = {
-                    Bucket: bucket,
-                    CopySource: `${bucket}/${src_key}`,
-                    Key: dst_key
-                };
-    
-                const copyResult = await s3.copyObject(copyParams).promise();
-    
-                directory[obj.Key] = {
-                    key: src_key,
-                    e_tag: obj.ETag,
-                    last_modified: new Date(copyResult.CopyObjectResult.LastModified).getTime() / 1000,
-                    size: obj.Size
-                };
-            }
-        }
-    
-        return directory;
-    }
-
-    async s3_mv_dir(src_path, dst_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Prefix: src_path
-        };
-    
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = {};
-    
-        for (let obj of data.Contents) {
-            const src_key = obj.Key;
-            const dst_key = src_key.replace(src_path, dst_path);
-    
-            if (src_key !== src_path) {
-                const copyParams = {
-                    Bucket: bucket,
-                    CopySource: `${bucket}/${src_key}`,
-                    Key: dst_key
-                };
-    
-                const copyResult = await s3.copyObject(copyParams).promise();
-    
-                const deleteParams = {
-                    Bucket: bucket,
-                    Key: src_key
-                };
-    
-                await s3.deleteObject(deleteParams).promise();
-    
-                directory[obj.Key] = {
-                    key: src_key,
-                    e_tag: obj.ETag,
-                    last_modified: new Date(copyResult.CopyObjectResult.LastModified).getTime() / 1000,
-                    size: obj.Size
-                };
-            }
-        }
-    
-        return directory;
-    }
-
-    async s3_dl_dir(remote_path, local_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Prefix: remote_path
-        };
-    
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = {};
-    
-        for (let obj of data.Contents) {
-            const getParams = {
-                Bucket: bucket,
-                Key: obj.Key
-            };
-    
-            const request = await s3.getObject(getParams).promise();
-            const filename = path.basename(obj.Key);
-    
-            if (!fs.existsSync(local_path)) {
-                fs.mkdirSync(local_path, { recursive: true });
-            }
-    
-            const local_file = path.join(local_path, filename);
-            fs.writeFileSync(local_file, request.Body);
-    
-            directory[obj.Key] = {
-                key: obj.Key,
-                last_modified: new Date(obj.LastModified).getTime() / 1000,
-                size: obj.Size,
-                e_tag: obj.ETag,
-            };
-        }
-    
-        return directory;
-    }
-
-    async  s3_ul_dir(local_path, remote_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const files = fs.readdirSync(local_path).map(file => path.join(local_path, file));
-    
-        const results = {};
-        for (let upload_file of files) {
-            if (fs.lstatSync(upload_file).isFile()) {
-                const file_extension = path.extname(upload_file);
-                const upload_file_data = fs.readFileSync(upload_file);
-                const upload_key = path.join(remote_path, path.basename(upload_file));
-    
-                const putParams = {
-                    Bucket: bucket,
-                    Key: upload_key,
-                    Body: upload_file_data
-                };
-    
-                const response = await s3.putObject(putParams).promise();
-    
-                results[response.key] = {
-                    key: response.key,
-                    last_modified: new Date().getTime() / 1000,
-                    size: upload_file_data.length,
-                    e_tag: response.ETag,
-                };
-            } else {
-                throw new Error("upload_file must be a file");
-            }
-        }
-    
-        return results;
-    }
-
-    async s3_ls_file(filekey, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Prefix: filekey
-        };
-
-        const data = await s3.listObjectsV2(params).promise();
-        const objects = data.Contents;
-        const directory = {};
-
-        if (objects.length === 0) {
-            return false;
-        }
-
-        for (let obj of objects) {
-            directory[obj.Key] = {
-                key: obj.Key,
-                last_modified: new Date(obj.LastModified).getTime() / 1000,
-                size: obj.Size,
-                e_tag: obj.ETag,
-            };
-        }
-
-        return directory;
-    }
-
-    async  s3_rm_file(this_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Key: this_path
-        };
-    
-        const headData = await s3.headObject(params).promise();
-        const key = headData.Key;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-    
-        const deleteData = await s3.deleteObject(params).promise();
-    
-        const results = {
-            "key": key,
-            "e_tag": e_tag,
-            "last_modified": last_modified,
-            "size": content_length,
-        };
-    
-        return results;
-    }
-
-    async  s3_cp_file(src_path, dst_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const copyParams = {
-            Bucket: bucket,
-            CopySource: `${bucket}/${src_path}`,
-            Key: dst_path
-        };
-
-        const copyData = await s3.copyObject(copyParams).promise();
-
-        const headParams = {
-            Bucket: bucket,
-            Key: dst_path
-        };
-
-        const headData = await s3.headObject(headParams).promise();
-        const key = dst_path;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-
-        const results = {
-            "key": key,
-            "e_tag": e_tag,
-            "last_modified": last_modified,
-            "size": content_length,
-        };
-
-        return results;
-    }
-
-    async  s3_mv_file(src_path, dst_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const copyParams = {
-            Bucket: bucket,
-            CopySource: `${bucket}/${src_path}`,
-            Key: dst_path
-        };
-    
-        const copyData = await s3.copyObject(copyParams).promise();
-    
-        const deleteParams = {
-            Bucket: bucket,
-            Key: src_path
-        };
-    
-        const deleteData = await s3.deleteObject(deleteParams).promise();
-    
-        const headParams = {
-            Bucket: bucket,
-            Key: dst_path
-        };
-    
-        const headData = await s3.headObject(headParams).promise();
-        const key = dst_path;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-    
-        const results = {
-            "key": key,
-            "e_tag": e_tag,
-            "last_modified": last_modified,
-            "size": content_length,
-        };
-    
-        return results;
-    }
-
-    async  s3_dl_file(remote_path, local_path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        if (remote_path.includes("s3://")) {
-            remote_path = remote_path.replace("s3://", "");
-            remote_path = remote_path.replace(`${bucket}/`, "");
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Key: remote_path
-        };
-    
-        const response = await s3.getObject(params).promise();
-        const data = response.Body;
-    
-        await fs.writeFile(local_path, data);
-    
-        const headData = await s3.headObject(params).promise();
-        const key = remote_path;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-    
-        const results = {
-            "key": key,
-            "last_modified": last_modified,
-            "size": content_length,
-            "e_tag": e_tag,
-            "local_path": local_path,
-        };
-    
-        return results;
-    }
-
-    async  s3_ul_file(upload_file, path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        let file_extension;
-        if (fs.existsSync(upload_file)) {
-            file_extension = pathModule.extname(upload_file);
-            upload_file = fs.readFileSync(upload_file);
-        } else {
-            upload_file = Buffer.from(upload_file);
-            file_extension = pathModule.extname(path);
-        }
-        let thisTempFile = await new Promise((resolve, reject) => {
-            tmpFile.createTempFile({  postfix: file_extension, dir: '/tmp' }, (err, path, fd, cleanupCallback) => {
-                if (err) {
-                    reject(err);
-                } else {
-                    resolve({ name: path, fd, removeCallback: cleanupCallback });
-                }
-            });
-            fs.writeFileSync(tmpFile.name, fileData);
-            
-          });
-
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Key: path,
-            Body: upload_file
-        };
-    
-        const response = await s3.putObject(params).promise();
-        cleanup();
-    
-        const headParams = {
-            Bucket: bucket,
-            Key: path
-        };
-    
-        const headData = await s3.headObject(headParams).promise();
-        const key = path;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-    
-        const results = {
-            "key": key,
-            "last_modified": last_modified,
-            "size": content_length,
-            "e_tag": e_tag,
-        };
-    
-        return results;
-    }
-
-    async  s3_mk_dir(path, bucket, kwargs = {}) {
-        let s3_config;
-        if ('s3cfg' in kwargs) {
-            s3_config = kwargs['s3cfg'];
-        } else {
-            s3_config = this.config;
-        }
-    
-        const s3 = new AWS.S3(this.config_to_boto(s3_config));
-        const params = {
-            Bucket: bucket,
-            Key: path,
-            Body: ''
-        };
-    
-        const response = await s3.putObject(params).promise();
-    
-        const headParams = {
-            Bucket: bucket,
-            Key: path
-        };
-    
-        const headData = await s3.headObject(headParams).promise();
-        const key = path;
-        const last_modified = new Date(headData.LastModified).getTime() / 1000;
-        const content_length = headData.ContentLength;
-        const e_tag = headData.ETag;
-    
-        const results = {
-            "key": key,
-            "last_modified": last_modified,
-            "size": content_length,
-            "e_tag": e_tag,
-        };
-    
-        return results;
-    }
-
-    get_session(s3_config) {
-        return new AWS.S3(s3_config);
-    }
-
-    async s3_upload_object(f, bucket, key, s3_config, progress_callback) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Key: key,
-            Body: fs.createReadStream(f)
-        };
-
-        return s3.upload(params, progress_callback).promise();
-    }
-
-    async s3_download_object(f, bucket, key, s3_config, progress_callback) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Key: key
-        };
-
-        const fileStream = fs.createWriteStream(f);
-        const s3Stream = s3.getObject(params).createReadStream();
-
-        s3Stream.on('data', (chunk) => {
-            progress_callback(chunk.length);
-        });
-
-        s3Stream.pipe(fileStream);
-
-        return new Promise((resolve, reject) => {
-            fileStream.on('finish', resolve);
-            fileStream.on('error', reject);
-        });
-    }
-
-
-    async upload_dir(dir, bucket, s3_config, progress_callback) {
-        const s3 = this.get_session(s3_config);
-        const files = await recursive(dir);
-
-        for (const file of files) {
-            const params = {
-                Bucket: bucket,
-                Key: path.relative(dir, file),
-                Body: fs.createReadStream(file)
-            };
-
-            await s3.upload(params, progress_callback).promise();
-        }
-    }
-
-    async download_dir(dir, bucket, s3_config, progress_callback) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Prefix: dir
-        };
-
-        const data = await s3.listObjectsV2(params).promise();
-        for (const object of data.Contents) {
-            const params = {
-                Bucket: bucket,
-                Key: object.Key
-            };
-
-            const fileStream = fs.createWriteStream(path.join(dir, object.Key));
-            const s3Stream = s3.getObject(params).createReadStream();
-
-            s3Stream.on('data', (chunk) => {
-                progress_callback(chunk.length);
-            });
-
-            s3Stream.pipe(fileStream);
-
-            await new Promise((resolve, reject) => {
-                fileStream.on('finish', resolve);
-                fileStream.on('error', reject);
-            });
-        }
-    }
-
-    async s3_read_dir(dir, bucket, s3_config) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Prefix: dir
-        };
-
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = {};
-
-        for (const object of data.Contents) {
-            const metadata = {
-                "key": object.Key,
-                "last_modified": new Date(object.LastModified).getTime() / 1000,
-                "size": object.Size,
-                "e_tag": object.ETag,
-            };
-
-            directory[object.Key] = metadata;
-        }
-
-        return directory;
-    }
-
-    get_session(s3_config) {
-        if (!this.session) {
-            this.session = new AWS.S3(this.config_to_boto(s3_config));
-        }
-        return this.session;
-    }
-
-    async s3_download_object(f, bucket, key, s3_config, progress_callback) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Key: key
-        };
-
-        const fileStream = fs.createWriteStream(f);
-        const s3Stream = s3.getObject(params).createReadStream();
-
-        s3Stream.on('data', (chunk) => {
-            progress_callback(chunk.length);
-        });
-
-        s3Stream.pipe(fileStream);
-
-        return new Promise((resolve, reject) => {
-            fileStream.on('finish', resolve);
-            fileStream.on('error', reject);
-        });
-    }
-
-    async s3_mkdir(dir, bucket, s3_config) {
-        const s3 = this.get_session(s3_config);
-        const params = {
-            Bucket: bucket,
-            Key: dir,
-            Body: ''
-        };
-
-        return s3.putObject(params).promise();
-    }
-
-
-    config_to_boto(s3_config) {
-        let results;
-
-        if (s3_config.accessKey) {
-            results = {
-                service: 's3',
-                accessKeyId: s3_config.accessKey,
-                secretAccessKey: s3_config.secretKey,
-                endpoint: s3_config.endpoint,
-            };
-        } else if (s3_config.aws_access_key_id) {
-            results = {
-                service: 's3',
-                accessKeyId: s3_config.aws_access_key_id,
-                secretAccessKey: s3_config.aws_secret_access_key,
-                endpoint: s3_config.endpoint_url,
-            };
-        } else {
-            throw new Error("s3_config must contain accessKey, secretKey, and endpoint");
-        }
-
-        this.config = results;
-        return results;
-    }
-
-    async test() {
-        const endpoint = "https://object.ord1.coreweave.com";
-        const access_key = "OVEXCZJJQPUGXZOV";
-        const secret_key = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-        const host_bucket = "%(bucket)s.object.ord1.coreweave.com";
-        let bucket = "swissknife-models";
-        const dir = "bge-base-en-v1.5@hf";
-        let config = {
-            "accessKey": access_key,
-            "secretKey": secret_key,
-            "endpoint": endpoint,
-        };
-        config = this.config_to_boto(config);
-        this.session = this.get_session(config);
-        const s3 = new AWS.S3(config);
-        const params = {
-            Bucket: bucket,
-            Prefix: dir
-        };
-
-        const data = await s3.listObjectsV2(params).promise();
-        const directory = {};
-
-        for (const object of data.Contents) {
-            const metadata = {
-                "key": object.Key,
-                "last_modified": new Date(object.LastModified).getTime() / 1000,
-                "size": object.Size,
-                "e_tag": object.ETag,
-            };
-
-            directory[object.Key] = metadata;
-        }
-
-        return directory;
-    }
-
-    async test2() {
-        const endpoint = "https://object.ord1.coreweave.com";
-        const access_key = "OVEXCZJJQPUGXZOV";
-        const secret_key = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-        const host_bucket = "%(bucket)s.object.ord1.coreweave.com";
-        let bucket = "cloudkit-beta";
-        const keys = [
-            'stablelm-zephyr-3b-GGUF-Q2_K@gguf/manifest.json',
-            'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/README.md',
-            'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/config.json',
-            'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/manifest.json',
-            'stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/stablelm-zephyr-3b.Q2_K.gguf'
-        ];
-        let config = {
-            "accessKey": access_key,
-            "secretKey": secret_key,
-            "endpoint": endpoint,
-        };
-        config = this.config_to_boto(config);
-        this.session = this.get_session(config);
-
-        const results = [];
-        for (const key of keys) {
-            const result = await this.s3_ls_file(key, bucket, config);
-            results.push(result);
-        }
-
-        return results[0];
-    }
-
-    async test3() {
-        const endpoint = "https://object.ord1.coreweave.com";
-        const access_key = "OVEXCZJJQPUGXZOV";
-        const secret_key = "H1osbJRy3903PTMqyOAGD6MIohi4wLXGscnvMEduh10";
-        const host_bucket = "%(bucket)s.object.ord1.coreweave.com";
-        let bucket = "cloudkit-beta";
-        const key = 'Airoboros-c34B-3.1.2-GGUF-Q4_0-Q4_0@gguf/README.md';
-        let config = {
-            "accessKey": access_key,
-            "secretKey": secret_key,
-            "endpoint": endpoint,
-        };
-        config = this.config_to_boto(config);
-        this.session = this.get_session(config);
-        const results = await this.s3_ls_file(key, bucket, config);
-
-        return results;
-    }
-}
-
-// const S3Kit = require('./s3_kit'); // Assuming s3_kit is defined in s3_kit.js
-
-// if (require.main === module) {
-//     const test_this = new S3Kit(null);
-//     test_this.test2();
-//     test_this.test3();
-// }
diff --git a/huggingface_scraper/test_fio.js b/huggingface_scraper/test_fio.js
deleted file mode 100644
index 81b74e8..0000000
--- a/huggingface_scraper/test_fio.js
+++ /dev/null
@@ -1,122 +0,0 @@
-import { execSync } from 'child_process';
-import fs from 'fs';
-import os from 'os';
-import path from 'path';
-
-export class TestFio {
-    constructor(resources, meta = null) {
-    
-    }
-
-    call(method, kwargs) {
-        if (method === 'test') {
-            return this.test(kwargs);
-        }
-    }
-
-    diskDeviceNameFromLocation(location) {
-        let directoryTree = location.split('/');
-
-        let df = execSync('df -h').toString().split('\n');
-        for (let line of df) {
-            if (line.includes(location)) {
-            let device = line.split(' ')[0];
-            return device;
-            } else {
-            while (directoryTree.length > 1) {
-                directoryTree.pop();
-                location = directoryTree.join('/');
-                for (let line of df) {
-                if (directoryTree.length === 1 && location === '') {
-                    location = '/';
-                }
-                if (line.includes(location)) {
-                    while (line.includes('  ')) {
-                    line = line.replace('  ', ' ');
-                    }
-                    let mount = line.split(' ');
-                    if (mount[5] === location) {
-                    let device = mount[0];
-                    return device;
-                    }
-                }
-                }
-            }
-            }
-        }
-        return 'rootfs';
-    }
-
-    diskDeviceTotalCapacity(device) {
-        let df = execSync('df -h').toString().split('\n');
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes('  ')) {
-                    line = line.replace('  ', ' ');
-                }
-                let capacity = line.split(' ')[1];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    diskDeviceUsedCapacity(device) {
-        let df = execSync('df -h').toString().split('\n');
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes('  ')) {
-                    line = line.replace('  ', ' ');
-                }
-                let capacity = line.split(' ')[2];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    diskDeviceAvailCapacity(device) {
-        let df = execSync('df -h').toString().split('\n');
-        for (let line of df) {
-            if (line.includes(device)) {
-                while (line.includes('  ')) {
-                    line = line.replace('  ', ' ');
-                }
-                let capacity = line.split(' ')[3];
-                return capacity;
-            }
-        }
-        return null;
-    }
-
-    diskSpeed4k(location) {
-        let tempFile = path.join(os.tmpdir(), 'tempFile.iso');
-        let timestamp0 = new Date();
-        execSync(`dd if=/dev/zero of=${tempFile} bs=4k count=8k conv=fdatasync`);
-        let timestamp1 = new Date();
-        let writeSpeed = 32 / ((timestamp1 - timestamp0) / 1000);
-        execSync(`dd if=${tempFile} of=/dev/null bs=4k`);
-        let timestamp2 = new Date();
-        let readSpeed = 32 / ((timestamp2 - timestamp1) / 1000);
-        fs.unlinkSync(tempFile);
-        return [readSpeed, writeSpeed];
-    }
-
-    stats(location) {
-        let diskDevice = this.diskDeviceNameFromLocation(location);
-        let diskCapacity = this.diskDeviceTotalCapacity(diskDevice);
-        let diskUsed = this.diskDeviceUsedCapacity(diskDevice);
-        let diskAvail = this.diskDeviceAvailCapacity(diskDevice);
-        let [diskReadSpeed, diskWriteSpeed] = this.diskSpeed4k(location);
-        let results = {
-            "disk_device": diskDevice,
-            "disk_capacity": diskCapacity,
-            "disk_used": diskUsed,
-            "disk_avail": diskAvail,
-            "disk_write_speed": diskWriteSpeed,
-            "disk_read_speed": diskReadSpeed
-        };
-        return results;
-    }
-
-}
\ No newline at end of file
diff --git a/huggingface_scraper/tmp_file.js b/huggingface_scraper/tmp_file.js
deleted file mode 100644
index e531c6b..0000000
--- a/huggingface_scraper/tmp_file.js
+++ /dev/null
@@ -1,36 +0,0 @@
-import os from 'os';
-import path from 'path';
-import fs from 'fs';
-import crypto from 'crypto';
-
-
-export class TempFileManager {
-    constructor(resources, meta = null) {
-        this.createTempDirectory = this.createTempDirectory.bind(this);
-        this.createTempFile = this.createTempFile.bind(this);
-    }
-
-    async createTempFile({ postfix, dir, }) {
-        const randomString = crypto.randomBytes(12).toString('hex');
-        const tempFileName = `${randomString}.${postfix}`;
-        const tempFilePath = path.join(dir, tempFileName);
-        const fd = fs.openSync(tempFilePath, 'w');
-        const cleanupCallback = () => {
-            fs.unlinkSync(tempFilePath);
-        };
-        let results = { tempFilePath, fd, cleanupCallback };
-        return (results);
-    }
-
-    async createTempDirectory({ dir }) {
-        const randomString = crypto.randomBytes(12).toString('hex');
-        const tempDirectoryName = `${randomString}`;
-        const tempDirectoryPath = path.join(dir, tempDirectoryName);
-        const fd = fs.openSync(tempDirectoryPath, 'w');
-        const cleanupCallback = () => {
-            fs.rmdirSync(tempDirectoryPath);
-        };
-        return ({ tempDirectoryPath , fd, cleanupCallback});
-    }
-}
-
diff --git a/huggingface_scraper/utils.js b/huggingface_scraper/utils.js
deleted file mode 100644
index 3f71331..0000000
--- a/huggingface_scraper/utils.js
+++ /dev/null
@@ -1,646 +0,0 @@
-import child_process from 'child_process'
-import crypto from 'crypto' 
-import fs from 'fs'
-import { type } from 'os'
-import path from 'path'
-import prompt_sync from 'prompt-sync'
-import prompt_sync_history from 'prompt-sync-history'
-import request from 'sync-request'
-import {createClient, createUploadStream} from './s3.js'
-import process from 'process'
-
-export function open_ended_question(question){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete([]),
-        sigint: true
-    }))
-
-    let answer = prompt(question)
-
-    console.log("confirm answer: " + answer)
-    let confirm = prompt("Confirm? (y/n): ")
-    if (confirm != 'y' && confirm != 'Y'){
-        answer = open_ended_question(question)
-    }
-
-    return answer
-}
-
-export function prepare_source(generate){
-
-}
-
-export function extract_source(generate){
-
-}
-
-export function multiple_select_question(question,choices){
-    let tmp_choices = choices
-    let done = false
-    let selections = []
-    let selection = multiple_choice_question(question, tmp_choices)
-    while(!done){
-        if (selection == 'None' || selection == '' || selection == null){
-            done = true
-        }
-        else{
-            selections.push(selection)
-            tmp_choices = tmp_choices.filter(function(value, index, arr){ return value != selection;})
-            selection = multiple_choice_question(question, tmp_choices)
-        }
-    }
-    return selections
-}
-
-export function folder_data(generate, manifest, build_path){
-    let files 
-    let parent_dir = path.dirname(build_path)
-    if (!fs.existsSync(parent_dir)){
-        fs.mkdirSync(parent_dir)
-    }
-    if (!fs.existsSync(build_path)){
-        fs.mkdirSync(build_path)
-    }
-    else{
-        files = fs.readdirSync(build_path)
-    }
-    let new_files = []
-    for(var file in files){
-        let this_file = "/" + files[file]
-        new_files.push(this_file)
-    }
-    new_files.push("/")
-    console.log("file_structure: " + files)
-    let fileDict = {}
-    for(var i = 0; i < new_files.length; i++){
-        let this_file = new_files[i]
-        if (fs.existsSync(path.join(build_path,this_file))){
-            let this_md5 = generate_md5(this_file, build_path)
-            let this_size = fs.statSync(path.join(build_path,this_file)).size
-            fileDict[this_file] = {"md5": this_md5, "size": this_size}
-        }
-        else{
-            console.log("error reading: " + this_file)
-        }
-    }
-    delete fileDict["/.git"]
-    delete fileDict["/.gitattributes"]
-    return  fileDict   
-}
-
-export function multiple_choice_question(question, choices){
-
-    let prompt = prompt_sync(({
-        history: prompt_sync_history(),
-        autocomplete: complete(choices),
-        sigint: true
-    }))
-
-    let new_choices = []
-    new_choices.push("None")
-    for (var choice in choices){
-        new_choices.push(choices[choice])
-    }
-
-    let index = 0
-    console.log(question)
-
-    for( var choice in new_choices){
-        console.log(index + ". " + new_choices[choice])
-        index += 1
-    }
-
-    let answer = prompt("Select:")
-
-    if (!new_choices.includes(answer)){
-        if (parseInt(answer) >= 0 && parseInt(answer) < new_choices.length){
-            answer = new_choices[parseInt(answer)]
-        }
-        else{
-            console.log("Invalid Selection")
-            answer = multiple_choice_question(question, choices)
-        }
-    }
-
-    if (answer == 'None'){
-        answer = ''
-    }
-    return answer
-}
-
-export function generate_cache_paths(generate, local_path){
-
-    let s3bucket_name = JSON.parse(process.env.s3_creds)["bucket"]
-    let s3_path = 's3://' + s3bucket_name 
-    let http_path = ''
-    let ipfs_gateway = ''
-    let ipfs_path = 'ipfs://' + ipfs_gateway 
-
-    let dict = {
-        "local" : "local://" + local_path + '/' + generate.id + '/',
-        "s3" : "s3://" + s3_path + '/' + generate.id,
-        "https" : "https://" + http_path + '/' + generate.id + '/',
-        "ipfs": "ipfs://" + ipfs_path + '/' + generate.id + '/',
-        "md5": generate_md5(generate.source)
-    }
-    return dict
-}
-
-export function complete(commands){
-    return function (str) {
-      var i;
-      var ret = [];
-      for (i=0; i< commands.length; i++) {
-        if (commands[i].indexOf(str) == 0)
-          ret.push(commands[i]);
-      }
-      return ret;
-    };
-};
-
-export function parse_templates(templates){
-    let results = {}
-
-    let chat_templates = ["llama-2", "vicuna", "alpaca", "chatlm"]
-    let instruct_templates = []
-
-    for( var template in templates){
-        this_template = templates[template]
-        if(chat_templates.includes(this_template)){
-            results["chat"] = this_template
-        }
-    }
-    return results
-}
-
-export function folder_to_bytestream(folder){
-    let files = fs.readdirSync(folder)
-    let bytestream = []
-    for (var file in files){
-        let this_file = files[file]
-        let file_path = path.join(folder, this_file)
-        let this_file_bytes = fs.readFileSync(file_path)
-        bytestream.push(this_file_bytes)
-    }
-    return bytestream
-}
-
-
-
-export function generate_md5(source, this_path){
-    let md5_path = ''
-    if(this_path != undefined){
-        md5_path = path.join(this_path, source)
-    }
-    let digest = ''
-    if(fs.existsSync(md5_path)){
-        if(fs.statSync(md5_path).isDirectory()){
-            console.log()
-        }
-        else if (fs.statSync(md5_path).isFile())
-        {
-            let hash_md5_bash_command = `md5sum "${md5_path}" | awk '{print $1}'`
-            digest = child_process.execSync(hash_md5_bash_command).toString().trim()
-        }
-    }
-    else if(typeof source == "string" && this_path == undefined){
-        const hash = crypto.createHash('md5');
-        hash.update(source);
-        digest = hash.digest('hex');
-    }
-
-    return digest
-}
-
-
-export function upload_files_s3(files, this_s3_creds) {
-    const s3_creds = this_s3_creds
-
-    function uploadFile(fileDict, index) {
-        if (index >= Object.keys(fileDict).length) {
-            // All files have been processed
-            return Promise.resolve();
-        }
-        let file = Object.keys(fileDict)[index]
-        let filekey = fileDict[file]
-        if (filekey.startsWith('/')){
-            filekey = filekey.slice(1)
-        }
-        if(filekey.includes("@")){
-            filekey = filekey.replace("@", "\\@")
-        }
-        if(bucket == undefined){
-            if (s3_creds != undefined){
-                bucket = s3_creds.bucket
-            }
-            else{
-                bucket = JSON.parse(process.env.s3_creds)["bucket"]
-            }
-        }
-
-        console.log(`fileDict ${filekey} to s3://${bucket}/`);
-        let reader
-        if(!fs.existsSync(file)){
-            return uploadFile(fileDict, index + 1); // Recursive call for the next file
-        }else if(fs.statSync(file).isDirectory()){
-            return uploadFile(fileDict, index + 1); // Recursive call for the next file
-        }
-        else {
-            reader = fs.createReadStream(file);
-
-            let { stream, promise } = createUploadStream({
-                s3,
-                bucket,
-                key: filekey
-            });
-    
-            reader.pipe(stream);
-   
-            return promise
-                .then(() => {
-                    console.log(`upload of ${filekey} complete`);
-                    return uploadFile(fileDict, index + 1); // Recursive call for the next file
-                })
-                .catch((error) => {
-                    console.error(error);
-                    throw error;
-                });
-
-        }
-    }
-
-    function uploadFileS3cmd(fileDict, index, this_s3_creds) {
-        if (index >= Object.keys(fileDict).length) {
-            // All files have been processed
-            return Promise.resolve();
-        }
-        let file = Object.keys(fileDict)[index]
-        let filekey = fileDict[file]
-        let bucket
-        if(bucket == undefined){
-            bucket = JSON.parse(process.env.s3_creds)["bucket"]
-        }
-        if (this_s3_creds != undefined){
-            if (s3_creds != undefined){
-                this_s3_creds = s3_creds
-            }
-            else{
-                this_s3_creds = JSON.parse(process.env.s3_creds)
-            }
-        }
-        if (filekey.startsWith('/')){
-            filekey = filekey.slice(1)
-        }
-        if(filekey.includes("@")){
-            filekey = filekey.replace("@", "\\@")
-        }
-        // console.log("process.env")
-        // console.log(process.env)
-        // console.log(Object.keys(process.env))
-        // console.log("process.env.s3_creds:")
-        // console.log(JSON.parse(process.env.s3_creds))
-        // console.log(Object.keys(JSON.parse(process.env.s3_creds)))
-        // console.log("this_s3_creds:")
-        // console.log(this_s3_creds)
-        // console.log(Object.keys(this_s3_creds))
-
-        console.log(`fileDict ${filekey} to s3://${bucket}/`);
-        let reader
-        if(!fs.existsSync(file)){
-            return uploadFileS3cmd(fileDict, index + 1, this_s3_creds = this_s3_creds); // Recursive call for the next file
-        }else if(fs.statSync(file).isDirectory()){
-            return uploadFileS3cmd(fileDict, index + 1, this_s3_creds = this_s3_creds); // Recursive call for the next file
-        }
-        else {
-
-            let command = "s3cmd "
-            command += "--access_key="+this_s3_creds.accessKey + " "
-            command += "--secret_key="+this_s3_creds.secretKey + " "
-            command += "--host-bucket="+this_s3_creds.hostBucket.replace("(","\\(").replace(")","\\)") + " " + " "
-            command += "--host="+this_s3_creds.endpoint + " "
-            command += "put " + file + " s3://" + bucket + "/" + filekey
-            console.log("command: ", command)
-            let results
-            if(s3_creds != undefined){
-                try{
-                    results = child_process.execSync(command);
-                }
-                catch(error){
-                    console.log("error uploading file")
-                    console.log(error)
-                }
-                finally{
-                    console.log(`upload of ${filekey} complete`);
-                    return uploadFileS3cmd(fileDict, index + 1,this_s3_creds = this_s3_creds); // Recursive call for the next file                        
-                }
-            }else{
-                return Promise.resolve();
-            }
-        }
-    }
-
-
-    if (files == undefined){
-        throw "files is undefined"
-    }
-    if (this_s3_creds != undefined){
-        return uploadFileS3cmd(files, 0, this_s3_creds)
-            .then(() => {
-                console.log("All files uploaded");
-                return files;
-            })
-            .catch((error) => {
-                console.error("An error occurred during upload:", error);
-                throw error;
-            });
-    }
-    else{
-        console.log("s3_creds is undefined")
-        Promise.resolve() 
-    }
-}
-
-
-export function import_source(collection, generate, manifest, build_path, this_mysql_creds){
-
-    function get_mysql_by_id(id, this_mysql_creds){
-        return registry.db.checkpoints.selectOne({id: id})
-    }
-
-    function folderData(id, this_mysql_creds){
-        let results = {}
-        try {
-            results = get_mysql_by_id(id)["folderData"]
-        }
-        catch(error){
-            console.log("error getting mysql data")
-            console.log(error)
-            results = collection[id]["folderData"]
-            return results
-        }
-        finally{
-            return results
-        }
-    }
-
-    function checkFolderData(folderPath, index, this_mysql_creds){
-        if (this_mysql_creds == undefined){
-            this_mysql_creds = mysql_creds
-        }
-
-        return folderData(manifest.id).then((fileDict) => {
-
-            if (index >= Object.keys(fileDict).length) {
-                // All files have been processed
-                return Promise.resolve();
-            }
-
-            for (file in Object.keys(fileDict)){
-                let this_file = fileDict[file]
-                let this_path = path.join(build_path, this_file)
-                if (!fs.existsSync(this_path)){
-                    return false
-                }
-                else{
-                    let this_size = fs.statSync(this_path).size
-                    if (this_size != fileDict[file]["size"]){
-                        return false
-                    }
-                }
-            }})
-        }
-
-    if (this_mysql_creds != undefined){
-        return checkFolderData(folderPath, 0)
-            .then(() => {
-                console.log("All files checked");
-                return files;
-            })
-            .catch((error) => {
-                console.error("An error occurred during upload:", error);
-                throw error;
-            });
-    }
-    else{
-        Promise.resolve() 
-    }
-
-}
-
-
-export function generate_template(generate){
-    let results = {}
-    results.id = ''
-    results.source = ''
-    results.metadata = {}
-    results.hwRequirements = {}
-    results.format = generate.format
-    results.location = generate.location
-    results.source = generate.source
-
-
-    return results
-}
-
-export function generate_metadata_template(generate){
-    let results = {}
-    //results.cache = generate_cache_paths(generate)
-    results.modelName = generate.modelName
-    results.metadata = {}
-    return results
-}
-
-export function find_id(generate){
-    return false
-}
-
-export function generate_metadata_test(generate){
-    let results = false
-
-    // check for identitical model ids
-    if (find_id(generate)){
-        throw new Error("Invalid metadata", "identical model ids")
-    }
-
-    //let dicts = ["cache", "modelName", "units"]
-    let dicts = ["modelName", "units"]
-
-    let metadata = generate.metadata
-
-    for (var dict in dicts){
-        let this_dict = dicts[dict]
-        if (!Object.keys(metadata).includes(this_dict)){
-            throw new Error("Invalid metadata "+ this_dict + " not in metadata")
-        }
-    }
-
-    if (!find_id(generate))
-    {
-        results = true
-    }
-
-    return results
-}
-
-export function generate_hwrequirements_template(generate){
-    let results = {}
-    results["minFlops"] = parseFloat(0)
-    results["flopsPerUnit"] = parseFloat(0)
-    results["minSpeed"] = parseFloat(0)
-    results["gpuCount"] = []
-    results["cpuCount"] = []
-    results["minSpeed"] = parseFloat(0)
-    results["gpuMemory"] = parseInt(0)
-    results["cpuMemory"] = parseInt(0)
-    results["minBandwidth"] = parseInt(0)
-    results["minDiskIO"] = parseInt(0)
-    results["diskUsage"] = parseInt(0)
-    return results
-}
-
-
-export function test_if_https_file_exists(url) {
-    try {
-      const response = synchronousHttpGet(url);
-      // Check if the response status code indicates success (e.g., 200)
-      return response.statusCode === 200;
-    } catch (error) {
-      console.error('Error:', error);
-      return false; // Return false in case of an error
-    }
-}
-  
-
-export function synchronousHttpGet(url) {
-// Perform the GET request synchronously
-return request('GET', url);
-}
-
-export function test_if_s3_file_exists(url){
-    let results = false
-    let s3 = require('s3')
-    let client = s3.createClient()
-    let params = {
-        Bucket: url,
-        Key: url
-    }
-    let downloader = client.downloadFile(params)
-    downloader.on('error', function(err) {
-        return false
-    });
-    downloader.on('progress', function() {
-        return true
-    });
-    downloader.on('end', function() {
-        return false
-    });
-}
-
-export function test_if_hf_file_exists(url){
-    let results = false
-    let hf = require('@huggingface/node-hf-api')
-    let model = hf.Model.fromPretrained(url)
-    return results
-}
-
-export function test_source(generate){
-    let results = false
-    let prefixes = ["https://", "http://", "s3://", "local://", "hf://"]
-    if (generate.location == "local"){
-        if (fs.existsSync(generate.source)){
-            results = true
-        }
-    }
-    if (generate.location == "huggingface"){
-        if(!generate.source.startsWith("https://")){
-            throw new Error("Invalid source", "huggingface source must start with https://")
-        }
-        if(!generate.source.includes("huggingface.co")){
-            throw new Error("Invalid source", "huggingface source must be from huggingface.co")
-        }
-        let test = test_if_https_file_exists(generate.source)
-        if (test == true){
-            results = true
-        }
-    }
-    if (generate.location.includes("http")){            
-        let test = test_if_https_file_exists(generate.source)
-        if (test == true){
-            results = true
-        }
-    }
-    if (generate.source.startsWith("s3://")){
-        if (test_if_s3_file_exists(generate.source)){
-            results = true
-        }
-    }
-    return results
-}
-
-export function generate_test(generate){
-    let results = false
-    let metadata = generate_metadata_test(generate)
-    if (!metadata){
-        throw new Error("Invalid metadata")
-    }
-    let hwRequirements = generate_hwrequrements_test(generate)
-    if (!hwRequirements){
-        throw new Error("Invalid hwRequirements")
-    }
-    let source = test_source(generate)
-    if (source != true){
-        console.log("source is: " + source)
-        throw new Error("Invalid source")
-    }
-    let required_dicts = ["id", "source", "metadata", "hwRequirements", "format", "location", "source", "timestamp", "md5"]
-    for (var dict in required_dicts){
-        let this_dict = required_dicts[dict]
-        if(this_dict.includes(results)){
-            throw new Error("Invalid test", this_dict, "not in results")
-        }
-    }
-    if (source && hwRequirements && metadata){
-        results = true
-    }
-    return results
-}
-
-
-export function generate_hwrequrements_test(generate){
-    let results = false
-
-    //let dicts = ["cache", "modelName", "units"]
-    let dicts =[ "minFlops", "flopsPerUnit", "minSpeed", "gpuCount", "minSpeed", "gpuMemory",  "diskUsage", "cpuMemory", "minBandwidth", "minDiskIO", "cpuCount"]
-
-    let types = {
-        "minFlops": "object",
-        "flopsPerUnit": "number",
-        "minSpeed": "number",
-        "gpuCount": "object",
-        "minSpeed": "number",
-        "gpuMemory": "number",
-        "diskUsage": "number",
-        "cpuMemory": "number",
-        "minBandwidth": "number",
-        "minDiskIO": "number",
-        "cpuCount": "object"
-    }
-
-    let hwRequirements = generate.hwRequirements
-
-    for (var dict in dicts){
-        let this_dict = dicts[dict]
-        if (!Object.keys(hwRequirements).includes(this_dict)){
-            throw new Error("Invalid hwRequirements "+ this_dict + " not in hwRequirements")
-        }
-        if (types[this_dict] != typeof(hwRequirements[this_dict])){
-            throw new Error("Invalid hwRequirements "+ this_dict + " incorrect type, expected " + types[this_dict] + " but instead got " + typeof(hwRequirements[this_dict]))
-        }
-    }
-
-    results = true
-
-    return results
-}
\ No newline at end of file
diff --git a/ipfs_transformers/__init_.py b/ipfs_transformers/__init_.py
deleted file mode 100644
index 8d1c8b6..0000000
--- a/ipfs_transformers/__init_.py
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/ipfs_transformers/__init__.py b/ipfs_transformers/__init__.py
index 22b3784..15452eb 100644
--- a/ipfs_transformers/__init__.py
+++ b/ipfs_transformers/__init__.py
@@ -1,7 +1,3 @@
-
-from .ipfs_kit import ipfs_kit
-from .s3_kit import s3_kit
-from .test_fio import test_fio
 from .ipfs_transformers import ASTConfig
 from .ipfs_transformers import ASTFeatureExtractor
 from .ipfs_transformers import ASTForAudioClassification
diff --git a/ipfs_transformers/ipfs_kit.py b/ipfs_transformers/ipfs_kit.py
index b4318ff..ae4f72b 100755
--- a/ipfs_transformers/ipfs_kit.py
+++ b/ipfs_transformers/ipfs_kit.py
@@ -22,7 +22,7 @@
 #sys.path.append(ipfs_lib_dir)
 #sys.path.append(ipfs_lib_dir2)
 sys.path.append(ipfs_transformers_dir)
-from ipfs_kit_lib import install_ipfs, ipfs, ipfs_cluster_ctl, ipfs_cluster_service, ipfs_cluster_follow, ipget
+from ipfs_kit import install_ipfs, ipfs, ipfs_cluster_ctl, ipfs_cluster_service, ipfs_cluster_follow, ipget
 
 class ipfs_kit:
     def __init__(self, resources, meta=None):
diff --git a/ipfs_transformers/ipfs_kit_lib/__init__.py b/ipfs_transformers/ipfs_kit_lib/__init__.py
deleted file mode 100644
index 05ef945..0000000
--- a/ipfs_transformers/ipfs_kit_lib/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .install_ipfs import install_ipfs
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/cluster.lock b/ipfs_transformers/ipfs_kit_lib/cluster.lock
deleted file mode 100755
index e69de29..0000000
diff --git a/ipfs_transformers/ipfs_kit_lib/config b/ipfs_transformers/ipfs_kit_lib/config
deleted file mode 100755
index ef35452..0000000
--- a/ipfs_transformers/ipfs_kit_lib/config
+++ /dev/null
@@ -1,147 +0,0 @@
-{
-  "API": {
-    "HTTPHeaders": {}
-  },
-  "Addresses": {
-    "API": "/ip4/127.0.0.1/tcp/5001",
-    "Announce": [],
-    "AppendAnnounce": [],
-    "Gateway": "/ip4/127.0.0.1/tcp/8080",
-    "NoAnnounce": [],
-    "Swarm": [
-      "/ip4/0.0.0.0/tcp/4001",
-      "/ip6/::/tcp/4001",
-      "/ip4/0.0.0.0/udp/4001/quic-v1",
-      "/ip4/0.0.0.0/udp/4001/quic-v1/webtransport",
-      "/ip6/::/udp/4001/quic-v1",
-      "/ip6/::/udp/4001/quic-v1/webtransport"
-    ]
-  },
-  "AutoNAT": {},
-  "Bootstrap": [
-    "/ip4/104.131.131.82/tcp/4001/p2p/QmaCpDMGvV2BGHeYERUEnRQAwe3N8SzbUtfsmvsqQLuvuJ",
-    "/ip4/104.131.131.82/udp/4001/quic-v1/p2p/QmaCpDMGvV2BGHeYERUEnRQAwe3N8SzbUtfsmvsqQLuvuJ",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmNnooDu7bfjPFoTZYxMNLWUQJyrVwtbZg5gBMjTezGAJN",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmQCU2EcMqAqQPR2i9bChDtGNJchTbq5TbXJJ16u19uLTa",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmbLHAnMoJPWSCR5Zhtx6BHJX9KiKNN6tpvbUcqanj75Nb",
-    "/dnsaddr/bootstrap.libp2p.io/p2p/QmcZf59bWwK5XFi76CZX8cbJ4BhTzzA3gU1ZjYZcYW3dwt"
-  ],
-  "DNS": {
-    "Resolvers": {}
-  },
-  "Datastore": {
-    "BloomFilterSize": 0,
-    "GCPeriod": "1h",
-    "HashOnRead": false,
-    "Spec": {
-      "mounts": [
-        {
-          "child": {
-            "path": "blocks",
-            "shardFunc": "/repo/flatfs/shard/v1/next-to-last/2",
-            "sync": true,
-            "type": "flatfs"
-          },
-          "mountpoint": "/blocks",
-          "prefix": "flatfs.datastore",
-          "type": "measure"
-        },
-        {
-          "child": {
-            "compression": "none",
-            "path": "datastore",
-            "type": "levelds"
-          },
-          "mountpoint": "/",
-          "prefix": "leveldb.datastore",
-          "type": "measure"
-        }
-      ],
-      "type": "mount"
-    },
-    "StorageGCWatermark": 90,
-    "StorageMax": "10GB"
-  },
-  "Discovery": {
-    "MDNS": {
-      "Enabled": true
-    }
-  },
-  "Experimental": {
-    "FilestoreEnabled": false,
-    "GraphsyncEnabled": false,
-    "Libp2pStreamMounting": false,
-    "OptimisticProvide": false,
-    "OptimisticProvideJobsPoolSize": 0,
-    "P2pHttpProxy": false,
-    "StrategicProviding": false,
-    "UrlstoreEnabled": false
-  },
-  "Gateway": {
-    "APICommands": [],
-    "DeserializedResponses": null,
-    "DisableHTMLErrors": null,
-    "ExposeRoutingAPI": null,
-    "HTTPHeaders": {},
-    "NoDNSLink": false,
-    "NoFetch": false,
-    "PathPrefixes": [],
-    "PublicGateways": null,
-    "RootRedirect": ""
-  },
-  "Identity": {
-    "PeerID": "12D3KooWMMVhBAXPGt5QsgYyNNfpoobV6ZfMwJV4j6qsqQkGctis",
-    "PrivKey": "CAESQKjZx7ETZ/wbHmoBhAexrAg3m0rsC5DPzH07UgFmldotq2oRx/UN4JXlIBz17kWUaIw2+EbddLMGV/SJTlO9brA="
-  },
-  "Internal": {},
-  "Ipns": {
-    "RecordLifetime": "",
-    "RepublishPeriod": "",
-    "ResolveCacheSize": 128
-  },
-  "Migration": {
-    "DownloadSources": [],
-    "Keep": ""
-  },
-  "Mounts": {
-    "FuseAllowOther": false,
-    "IPFS": "/ipfs",
-    "IPNS": "/ipns"
-  },
-  "Peering": {
-    "Peers": null
-  },
-  "Pinning": {
-    "RemoteServices": {}
-  },
-  "Plugins": {
-    "Plugins": null
-  },
-  "Provider": {
-    "Strategy": ""
-  },
-  "Pubsub": {
-    "DisableSigning": false,
-    "Router": ""
-  },
-  "Reprovider": {},
-  "Routing": {
-    "AcceleratedDHTClient": false,
-    "Methods": null,
-    "Routers": null
-  },
-  "Swarm": {
-    "AddrFilters": null,
-    "ConnMgr": {},
-    "DisableBandwidthMetrics": false,
-    "DisableNatPortMap": false,
-    "RelayClient": {},
-    "RelayService": {},
-    "ResourceMgr": {},
-    "Transports": {
-      "Multiplexers": {},
-      "Network": {},
-      "Security": {}
-    }
-  }
-}
diff --git a/ipfs_transformers/ipfs_kit_lib/datastore_spec b/ipfs_transformers/ipfs_kit_lib/datastore_spec
deleted file mode 100644
index 7bf9626..0000000
--- a/ipfs_transformers/ipfs_kit_lib/datastore_spec
+++ /dev/null
@@ -1 +0,0 @@
-{"mounts":[{"mountpoint":"/blocks","path":"blocks","shardFunc":"/repo/flatfs/shard/v1/next-to-last/2","type":"flatfs"},{"mountpoint":"/","path":"datastore","type":"levelds"}],"type":"mount"}
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/identity.json b/ipfs_transformers/ipfs_kit_lib/identity.json
deleted file mode 100755
index 8488599..0000000
--- a/ipfs_transformers/ipfs_kit_lib/identity.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-    "id": "12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME",
-    "private_key": "CAESQCdeFjj9HSI9+LDwsHA84hhfKj7GoLVWTL3yD6FWUqCXQSi7xqLG+6V+9ROfWtlfs3wR8UsuifuWSVoSHkfaPnE="
-}
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/install_ipfs.py b/ipfs_transformers/ipfs_kit_lib/install_ipfs.py
deleted file mode 100644
index e0fd999..0000000
--- a/ipfs_transformers/ipfs_kit_lib/install_ipfs.py
+++ /dev/null
@@ -1,1093 +0,0 @@
-import os
-import subprocess
-import tempfile
-import json
-import math
-import sys
-import time
-test_folder = os.path.dirname(os.path.dirname(__file__)) + "/test"
-sys.path.append(test_folder)
-import test_fio
-
-ipfs_service = """
-[Unit]
-Description=IPFS Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs daemon --enable-gc --enable-pubsub-experiment \"
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
-"""
-
-ipfs_cluster_service = """
-[Unit]
-Description=IPFS Cluster Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs-cluster-service daemon
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
-
-"""
-
-#NOTE FIX THIS SYSTEMCTL SERVICE
-
-ipfs_cluster_follow = """
-[Unit]
-Description=IPFS Cluster Follow Daemon
-After=network.target
-
-[Service]
-ExecStart=/usr/local/bin/ipfs-cluster-follow run
-Restart=on-failure
-User=root
-Group=root
-
-[Install]
-WantedBy=multi-user.target
-
-"""
-
-
-peerlist = """
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/127.0.0.1/tcp/4001/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/127.0.0.1/udp/4001/quic-v1/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/127.0.0.1/udp/4001/quic-v1/webtransport/certhash/uEiCQ69lFLNBxmYKhz9pIa6M50fSdJHmgkMnT-Azj4x4jKw/certhash/uEiA0dWNgdbav2huMaLhaX8Aul1n8bOAmNcc3k0HD6Q4juw/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/167.99.96.231/tcp/4001/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/167.99.96.231/udp/4001/quic-v1/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/167.99.96.231/udp/4001/quic-v1/webtransport/certhash/uEiCQ69lFLNBxmYKhz9pIa6M50fSdJHmgkMnT-Azj4x4jKw/certhash/uEiA0dWNgdbav2huMaLhaX8Aul1n8bOAmNcc3k0HD6Q4juw/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip4/167.99.96.231/udp/4001/quic-v1/webtransport/certhash/uEiCQ69lFLNBxmYKhz9pIa6M50fSdJHmgkMnT-Azj4x4jKw/certhash/uEiA0dWNgdbav2huMaLhaX8Aul1n8bOAmNcc3k0HD6Q4juw/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip6/::1/tcp/4001/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip6/::1/udp/4001/quic-v1/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D
-/ip6/::1/udp/4001/quic-v1/webtransport/certhash/uEiCQ69lFLNBxmYKhz9pIa6M50fSdJHmgkMnT-Azj4x4jKw/certhash/uEiA0dWNgdbav2huMaLhaX8Aul1n8bOAmNcc3k0HD6Q4juw/p2p/12D3KooWS9pEXDb2FEsD"
-"""
-
-class install_ipfs:
-	def __init__(self, resources, meta=None):
-		if meta is not None:
-			if "config" in meta:
-				if meta['config'] is not None:
-					self.config = meta['config']
-			if "role" in meta:
-				if meta['role'] is not None:
-					self.role = meta['role']
-					if self.role not in  ["master","worker","leecher"]:
-						raise Exception("role is not either master, worker, leecher")
-					else:
-						self.role = meta['role']
-						pass
-				else:
-					self.role = "leecher"
-
-			if "ipfs_path" in meta:
-				if meta['ipfs_path'] is not None:
-					self.ipfs_path = meta['ipfs_path']
-					#NOTE bug invalid permissions check
-					if not os.path.exists(self.ipfs_path):
-						os.makedirs(self.ipfs_path)
-					test_disk = test_fio.test_fio(None)
-					self.disk_name = test_disk.disk_device_name_from_location(self.ipfs_path)
-					self.disk_stats = {
-						"disk_size": test_disk.disk_device_total_capacity(self.disk_name),
-						"disk_used": test_disk.disk_device_used_capacity(self.disk_name),
-						"disk_avail": test_disk.disk_device_avail_capacity(self.disk_name),
-						"disk_name": self.disk_name
-					}
-					pass
-				pass
-			else:
-				self.ipfs_path = None
-				self.disk_stats = None
-				pass
-
-			if "cluster_name" in meta:
-				if meta['cluster_name'] is not None:
-					self.cluster_name = meta['cluster_name']
-					pass
-				pass
-			else:
-				self.cluster_name = None
-
-			if "cluster_location" in meta:
-				if meta['cluster_location'] is not None:
-					self.cluster_location = meta['cluster_location']
-					pass
-				pass
-
-			if self.role == "leecher" or self.role == "worker" or self.role == "master":
-				if self.ipfs_path is not None: 
-					self.ipfs_install_command = self.install_ipfs_daemon
-					self.ipfs_config_command = self.config_ipfs
-				pass
-
-			if self.role == "worker":
-				if self.cluster_name is not None and self.ipfs_path is not None:
-					self.cluster_install = self.install_ipfs_cluster_follow
-					self.cluster_config = self.config_ipfs_cluster_follow
-					pass
-				pass
-
-			if self.role == "master":
-				if self.cluster_name is not None and self.ipfs_path is not None:
-					self.cluster_name = meta['cluster_name']
-					self.cluster_ctl_install = self.install_ipfs_cluster_ctl
-					self.cluster_ctl_config = self.config_ipfs_cluster_ctl
-					self.cluster_service_install = self.install_ipfs_cluster_service
-					self.cluster_service_config = self.config_ipfs_cluster_service
-					pass
-		if "cluster_location"  not in list(self.__dict__.keys()):
-			self.cluster_location = "/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv"
-			pass
-			
-	def install_ipfs_daemon(self):
-		try:
-			detect = subprocess.check_output("which ipfs",shell=True)
-			detect = detect.decode()
-			if len(detect) > 0:
-				return True
-		except Exception as e:
-			detect = 0
-			print(e)
-		finally:
-			pass
-		if detect == 0:
-			with tempfile.NamedTemporaryFile(suffix=".tar.gz", dir="/tmp") as this_tempfile:
-					command = "wget https://dist.ipfs.tech/kubo/v0.26.0/kubo_v0.26.0_linux-amd64.tar.gz -O " + this_tempfile.name
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "tar -xvzf " + this_tempfile.name + " -C /tmp"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "cd /tmp/kubo ; sudo bash install.sh"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "ipfs --version"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					
-					if os.getuid() == 0:
-						with open("/etc/systemd/system/ipfs.service", "w") as file:
-							file.write(ipfs_service)
-
-					else:
-						#NOTE: Clean this up and make better logging or drop the error all together
-						print('You need to be root to write to /etc/systemd/system/ipfs.service')
-
-					if "ipfs" in results:
-						return True
-					else:
-						return False
-
-	def install_ipfs_cluster_follow(self):
-		try:
-			detect = subprocess.check_output("which ipfs-cluster-follow",shell=True)
-			detect = detect.decode()
-			if len(detect) > 0:
-				return True
-		except Exception as e:
-			detect = 0
-			print(e)
-		finally:
-			pass
-		if detect == 0:
-			with tempfile.NamedTemporaryFile(suffix=".tar.gz", dir="/tmp") as this_tempfile:
-				command = "wget https://dist.ipfs.tech/ipfs-cluster-follow/v1.0.8/ipfs-cluster-follow_v1.0.8_linux-amd64.tar.gz -O " + this_tempfile.name
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "tar -xvzf " + this_tempfile.name + " -C /tmp"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "cd /tmp/ipfs-cluster-follow ; sudo mv ipfs-cluster-follow /usr/local/bin/ipfs-cluster-follow"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "ipfs-cluster-follow --version"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				
-				if os.geteuid() == 0:
-					with open("/etc/systemd/system/ipfs-cluster-follow.service", "w") as file:
-						file.write(ipfs_cluster_follow)
-				else:
-					#NOTE: Clean this up and make better logging or drop the error all together
-					print('You need to be root to write to /etc/systemd/system/ipfs-cluster-follow.service')
-				
-				if "ipfs-cluster-follow" in results:
-					return True
-				else:
-					return False
-	
-	def install_ipfs_cluster_ctl(self):
-		try:
-			detect = subprocess.check_output("which ipfs-cluster-ctl",shell=True)
-			detect = detect.decode()
-			if len(detect) > 0:
-				return True
-		except Exception as e:
-			detect = 0
-			print(e)
-		finally:
-			pass
-		if detect == 0:
-			with tempfile.NamedTemporaryFile(suffix=".tar.gz", dir="/tmp") as this_tempfile:
-				command = "wget https://dist.ipfs.tech/ipfs-cluster-ctl/v1.0.8/ipfs-cluster-ctl_v1.0.8_linux-amd64.tar.gz -O " + this_tempfile.name
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "tar -xvzf " + this_tempfile.name + " -C /tmp"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "cd /tmp/ipfs-cluster-ctl ; sudo mv ipfs-cluster-ctl /usr/local/bin/ipfs-cluster-ctl"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "ipfs-cluster-ctl --version"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				if "ipfs-cluster-ctl" in results:
-					return True
-				else:
-					return False
-	
-	def install_ipfs_cluster_service(self):
-		try:
-			detect = subprocess.check_output("which ipfs-cluster-service",shell=True)
-			detect = detect.decode()
-			if len(detect) > 0:
-				return True
-		except Exception as e:
-			detect = 0
-			print(e)
-		finally:
-			pass
-		if detect == 0:
-			with tempfile.NamedTemporaryFile(suffix=".tar.gz", dir="/tmp") as this_tempfile:
-				command = "wget https://dist.ipfs.tech/ipfs-cluster-service/v1.0.8/ipfs-cluster-service_v1.0.8_linux-amd64.tar.gz -O " + this_tempfile.name
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "tar -xvzf " + this_tempfile.name + " -C /tmp"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "cd /tmp/ipfs-cluster-service ; sudo mv ipfs-cluster-service /usr/local/bin/ipfs-cluster-service"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				command = "ipfs-cluster-service --version"
-				results = subprocess.check_output(command, shell=True)
-				results = results.decode()
-				
-				if os.geteuid() == 0:
-					with open("/etc/systemd/system/ipfs-cluster-service.service", "w") as file:
-						file.write(ipfs_cluster_service)
-
-				else:
-					#NOTE: Clean this up and make better logging or drop the error all together
-					print('You need to be root to write to /etc/systemd/system/ipfs-cluster-service.service')
-
-				if "ipfs-cluster-service" in results:
-					return True
-				else:
-					return False
-
-	def install_ipget(self):
-		try:
-			detect = subprocess.check_output("which ipget",shell=True)
-			detect = detect.decode()
-			if len(detect) > 0:
-				return True
-		except Exception as e:
-			detect = 0
-			print(e)
-		finally:
-			pass
-		if detect == 0:
-			with tempfile.NamedTemporaryFile(suffix=".tar.gz", dir="/tmp") as this_tempfile:
-					command = "wget https://dist.ipfs.tech/ipget/v0.10.0/ipget_v0.10.0_linux-amd64.tar.gz -O " + this_tempfile.name
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "tar -xvzf " + this_tempfile.name + " -C /tmp"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "cd /tmp/ipget ; sudo bash install.sh"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "sudo sysctl -w net.core.rmem_max=2500000"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "sudo sysctl -w net.core.wmem_max=2500000"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					command = "ipget --version"
-					results = subprocess.check_output(command, shell=True)
-					results = results.decode()
-					if "ipget" in results:
-						return True
-					else:
-						return False
-
-	def config_ipfs_cluster_service(self, **kwargs):
-		if "cluster_name" in list(kwargs.keys()):
-			cluster_name = kwargs['cluster_name']
-			self.cluster_name = cluster_name
-		else:
-			cluster_name = self.cluster_name
-		if "disk_stats" in list(kwargs.keys()):
-			disk_stats = kwargs['disk_stats']
-			self.disk_stats = disk_stats
-		else:
-			disk_stats = self.disk_stats
-
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			self.ipfs_path = ipfs_path
-		else:
-			ipfs_path = self.ipfs_path
-
-		if "disk_stats" not in list(self.__dict__.keys()):
-			raise Exception("disk_stats is None")
-		else:        
-			if self.disk_stats is None:
-				raise Exception("disk_stats is None")
-		if "ipfs_path" not in list(self.__dict__.keys()):
-			raise Exception("ipfs_path is None")
-		else:
-			if self.ipfs_path is None:
-				raise Exception("ipfs_path is None")
-		ipfs_path = os.path.join(ipfs_path, "ipfs") + "/"
-		try:
-			if os.getuid() == 0:
-				command0 = "systemctl enable ipfs-cluster-service"
-				results0 = subprocess.check_output(command0, shell=True)
-
-				command1 = "IPFS_PATH="+ ipfs_path +" ipfs-cluster-service init -f"
-				results1 = subprocess.check_output(command1, shell=True)
-				results1 = results1.decode()
-
-			else:
-				command1 = "IPFS_PATH="+ ipfs_path +" ipfs-cluster-service init -f"
-				results1 = subprocess.check_output(command1, shell=True)
-				results1 = results1.decode()
-				# TODO: Add test cases to all the config functions
-
-		except Exception as e:
-			results1 = str(e)
-		finally:
-			pass
-
-		return {
-			"results1":results1,
-		}
-	
-	def config_ipfs_cluster_ctl(self, **kwargs):
-		if "cluster_name" in list(kwargs.keys()):
-			cluster_name = kwargs['cluster_name']
-			self.cluster_name = cluster_name
-		else:
-			cluster_name = self.cluster_name
-		if "disk_stats" in list(kwargs.keys()):
-			disk_stats = kwargs['disk_stats']
-			self.disk_stats = disk_stats
-		else:
-			disk_stats = self.disk_stats
-
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			self.ipfs_path = ipfs_path
-		else:
-			ipfs_path = self.ipfs_path
-
-		if "disk_stats" not in list(self.__dict__.keys()):
-			raise Exception("disk_stats is None")
-		else:        
-			if self.disk_stats is None:
-				raise Exception("disk_stats is None")
-		if "ipfs_path" not in list(self.__dict__.keys()):
-			raise Exception("ipfs_path is None")
-		else:
-			if self.ipfs_path is None:
-				raise Exception("ipfs_path is None")
-		results1 = None
-		if cluster_name is not None and ipfs_path is not None and disk_stats is not None:
-			try:
-				command1 = "ipfs-cluster-ctl " + self.cluster_name + " init"
-				#results1 = subprocess.check_output(command1, shell=True)
-				#results1 = results1.decode()
-			except Exception as e:
-				#results1 = str(e)
-				pass
-			finally:
-				pass
-
-			try:
-				basename = os.path.basename(__file__)
-				this_dir = os.path.dirname(__file__)
-				homedir = os.path.expanduser("~")
-				os.makedirs(ipfs_path+"/" , exist_ok=True)
-				os.makedirs(ipfs_path+"/" + "/pebble" , exist_ok=True)
-				#os.makedirs(homedir + "/.ipfs-cluster-follow/" + cluster_name , exist_ok=True)
-				filename = "service.json"
-				dst_file = "service.json"
-				#command2 = "cp -rf " + this_dir + "/" + filename + " " + dst_path  + "/" + dst_file
-				command3 = "cp -rf " + this_dir + "/" + filename + " ~/.ipfs-cluster/" + dst_file
-				filename = "peerstore"
-				dst_file = "peerstore"
-				#command3 = "cp -rf " + this_dir + "/" + filename + "  ~/.ipfs_cluster-follow/" + dst_file
-				command4 = "cp -rf " + this_dir + "/" + filename + "  ~/.ipfs-cluster/" + dst_file
-				results3 = subprocess.check_output(command3, shell=True)
-				results3 = results3.decode()
-				results4 = subprocess.check_output(command4, shell=True)
-				results4 = results4.decode()
-
-				if not os.path.exists("~/.ipfs-cluster/pebble"):
-					command5 = "rm -rf ~/.ipfs-cluster/pebble ;"
-					results5 = subprocess.check_output(command5, shell=True)
-					results5 = results5.decode()
-					command6 = "ln -s " + ipfs_path + "/pebble ~/.ipfs-cluster/pebble"
-					results6 = subprocess.check_output(command6, shell=True)
-					results6 = results6.decode()
-			except Exception as e:
-				results3 = str(e)
-				results5 = str(e)
-				results4 = str(e)
-				results6 = str(e)
-			finally:
-				pass
-			try:
-				command5 = " ipfs-cluster-service daemon"
-				results5 = subprocess.Popen(command5, shell=True)
-			except Exception as e:
-				results5 = str(e)
-			finally:
-				pass
-			return {
-				"results1":results1
-			}
-
-	def config_ipfs_cluster_follow(self, **kwargs):
-		if "cluster_name" in list(kwargs.keys()):
-			cluster_name = kwargs['cluster_name']
-			self.cluster_name = cluster_name
-		else:
-			cluster_name = self.cluster_name
-		if "disk_stats" in list(kwargs.keys()):
-			disk_stats = kwargs['disk_stats']
-			self.disk_stats = disk_stats
-		else:
-			disk_stats = self.disk_stats
-
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			self.ipfs_path = ipfs_path
-		else:
-			ipfs_path = self.ipfs_path
-
-		if "disk_stats" not in list(self.__dict__.keys()):
-			raise Exception("disk_stats is None")
-		else:        
-			if self.disk_stats is None:
-				raise Exception("disk_stats is None")
-		if "ipfs_path" not in list(self.__dict__.keys()):
-			raise Exception("ipfs_path is None")
-		else:
-			if self.ipfs_path is None:
-				raise Exception("ipfs_path is None")
-		results1 = None
-		results2 = None
-		ipfs_path = os.path.join(ipfs_path, "ipfs_cluster")          
-		self.run_ipfs_daemon()
-		if cluster_name is not None and ipfs_path is not None and disk_stats is not None:
-			this_dir = os.path.dirname(__file__)
-			dst_path = ipfs_path
-			try:
-				if os.getuid() == 0:
-					# Add enabler for ipfs-cluster-follow from the install into the config 
-					command0 = "systemctl enable ipfs-cluster-follow"
-					results0 = subprocess.check_output(command0, shell=True)
-
-					#command1 = "IPFS_CLUSTER_PATH="+ ipfs_path +" ipfs-cluster-follow ipfs_cluster init " + cluster_name
-					command1 = "ipfs-cluster-follow " + cluster_name + " init " + ipfs_path
-					results1 = subprocess.check_output(command1, shell=True)
-					results1 = results1.decode() 
-
-					# TODO: Add test cases
-				else:
-					#command1 = "IPFS_CLUSTER_PATH="+ ipfs_path +" ipfs-cluster-follow ipfs_cluster init " + cluster_name
-					command1 = "ipfs-cluster-follow " + cluster_name + " init " + ipfs_path
-					results1 = subprocess.check_output(command1, shell=True)
-					results1 = results1.decode() 
-
-					print('You need to be root to write to /etc/systemd/system/ipfs-cluster-follow.service')				
-				
-			except Exception as e:
-				results1 = str(e)
-			finally:
-				pass
-			try:
-				basename = os.path.basename(__file__)
-				os.makedirs(ipfs_path+"/" + cluster_name , exist_ok=True)
-				os.makedirs(ipfs_path+"/" + cluster_name + "/pebble" , exist_ok=True)
-				homedir = os.path.expanduser("~")
-				os.makedirs(homedir + "/.ipfs-cluster-follow/" + cluster_name , exist_ok=True)
-				filename = "service_follower.json"
-				dst_file = "service.json"
-				#command2 = "cp -rf " + this_dir + "/" + filename + " " + dst_path  + "/" + dst_file
-				command3 = "cp -rf " + this_dir + "/" + filename + " ~/.ipfs-cluster-follow/" + cluster_name + "/" + dst_file
-				filename = "peerstore"
-				dst_file = "peerstore"
-				#command3 = "cp -rf " + this_dir + "/" + filename + "  ~/.ipfs_cluster-follow/" + dst_file
-				command4 = "cp -rf " + this_dir + "/" + filename + "  ~/.ipfs-cluster-follow/" + cluster_name + "/" + dst_file
-				results3 = subprocess.check_output(command3, shell=True)
-				results3 = results3.decode()
-				results4 = subprocess.check_output(command4, shell=True)
-				results4 = results4.decode()
-
-				if not os.path.exists("~/.ipfs-cluster-follow/"+ cluster_name + "/pebble"):
-					command5 = "rm -rf ~/.ipfs-cluster-follow/" + cluster_name + "/pebble ;"
-					results5 = subprocess.check_output(command5, shell=True)
-					results5 = results5.decode()
-					command6 = "ln -s " + ipfs_path + "/" + cluster_name + "/pebble ~/.ipfs-cluster-follow/" + cluster_name + "/pebble"
-					results6 = subprocess.check_output(command6, shell=True)
-					results6 = results6.decode()
-			except Exception as e:
-				results3 = str(e)
-				results5 = str(e)
-				results4 = str(e)
-				results2 = str(e)
-				results6 = str(e)
-			finally:
-				pass
-			try:
-				command4 = "IPFS_CLUSTER_PATH="+ ipfs_path +" ipfs-cluster-follow " + cluster_name + " run"
-				command5 = "ipfs-cluster-follow " + cluster_name + " run"
-				results5 = subprocess.Popen(command5, shell=True)
-			except Exception as e:
-				results5 = str(e)
-			finally:
-				pass
-			new_ipfs_cluster_follow = ipfs_cluster_follow.replace("run"," "+ cluster_name + " run")
-			
-			if os.geteuid() == 0:
-				with open("/etc/systemd/system/ipfs-cluster-follow.service", "w") as file:
-					file.write(new_ipfs_cluster_follow)
-			else:
-				#NOTE: Clean this up and make better logging or drop the error all together
-				print('You need to be root to write to /etc/systemd/system/ipfs-cluster-follow.service')
-			
-			# TODO: Add test cases to all the config functions
-
-			#command = "ps -ef | grep ipfs | grep -v grep | awk '{print $2}' | xargs kill -9"
-			#results = subprocess.run(command, shell=True)
-			results = {
-				"results1":results1,
-				"results2":results2,
-				"results3":results3,
-				"results4":results4,
-				"results5":results5,
-				"results6":results6
-			}
-
-			return results
-					
-	def config_ipfs(self, **kwargs):
-		if "disk_stats" in list(kwargs.keys()):
-			disk_stats = kwargs['disk_stats']
-			self.disk_stats = disk_stats
-		else:
-			disk_stats = self.disk_stats
-
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			self.ipfs_path = ipfs_path
-		else:
-			ipfs_path = self.ipfs_path
-
-		if "disk_stats" not in list(self.__dict__.keys()):
-			raise Exception("disk_stats is None")
-		else:        
-			if self.disk_stats is None:
-				raise Exception("disk_stats is None")
-		if "ipfs_path" not in list(self.__dict__.keys()):
-			raise Exception("ipfs_path is None")
-		else:
-			if self.ipfs_path is None:
-				raise Exception("ipfs_path is None")
-
-		if ipfs_path[-1] != "/":
-			ipfs_path = ipfs_path + "/ipfs/"
-		else:
-			ipfs_path = ipfs_path + "ipfs/"
-
-		os.makedirs(ipfs_path, exist_ok=True)
-		if disk_stats is not None and ipfs_path is not None and disk_stats is not None:
-			try:
-				command1 = "IPFS_PATH="+ ipfs_path +" ipfs init --profile=badgerds"
-				results1 = subprocess.check_output(command1, shell=True)
-				results1 = results1.decode()
-			except Exception as e:
-				results1 = str(e)
-			finally:
-				pass
-			try:
-				command2 = "IPFS_PATH="+ ipfs_path +" ipfs id "
-				results2 = subprocess.check_output(command2, shell=True)
-				results2 = results2.decode()
-				peer_id = results2
-			except Exception as e:
-				results2 = str(e)
-			try:
-				command4 = "IPFS_PATH="+ ipfs_path + " ipfs config profile apply badgerds"
-				results4 = subprocess.check_output(command4, shell=True)
-				results4 = results4.decode()
-			except Exception as e:
-				results4 = str(e)
-			finally:
-				pass
-			min_free_space = 32 * 1024 * 1024 * 1024
-			disk_available = self.disk_stats['disk_avail']
-			if "T" in disk_available:
-				disk_available = float(disk_available.replace("T","")) * 1024 * 1024 * 1024 * 1024
-			elif "G" in disk_available:
-				disk_available = float(disk_available.replace("G","")) * 1024 * 1024 * 1024
-			elif "M" in disk_available:
-				disk_available = float(disk_available.replace("M","")) * 1024 * 1024
-
-			if disk_available > min_free_space:
-				allocate = math.ceil((( disk_available - min_free_space) * 0.8) / 1024 / 1024 / 1024)
-				try:
-					command5 = "IPFS_PATH="+ ipfs_path +" ipfs config Datastore.StorageMax " + str(allocate) + "GB"
-					results5 = subprocess.check_output(command5, shell=True)
-					results5 = results5.decode()
-				except Exception as e:
-					results5 = str(e)
-				finally:
-					pass
-			else:
-				results5 = "disk_available is less than min_free_space"
-			basedir = os.path.dirname(__file__)
-			with open(basedir + "/peerstore", "r") as file:
-				peerlist = file.read()
-			peerlist = peerlist.split("\n")
-			for peer in peerlist:
-				if peer != "":
-					try:
-						command6 = "IPFS_PATH="+ ipfs_path + " ipfs bootstrap add " + peer
-						# TODO: Permission error on the config when installing as user
-						results6 = subprocess.check_output(command6, shell=True)
-						results6 = results6.decode()
-					except Exception as e:
-						results6 = str(e)
-					finally:
-						pass
-			try:
-				command7 = "IPFS_PATH="+ ipfs_path + " ipfs init"
-				results7 = subprocess.Popen(command7, shell=True)
-			except Exception as e:
-				results7 = str(e)
-			finally:
-				pass
-
-			if os.geteuid() == 0:
-				ipfs_service_text = ipfs_service.replace("ExecStart=","ExecStart= bash -c \"export IPFS_PATH="+ ipfs_path + " && ")
-				with open("/etc/systemd/system/ipfs.service", "w") as file:
-					file.write(ipfs_service_text)
-
-				try:
-					# Reload daemon
-					command11 = "systemctl daemon-reload"
-					results11 = subprocess.Popen(command11, shell=True)
-					
-					# Enable service 
-					command0 = "systemctl enable ipfs"
-					results0 = subprocess.Popen(command0, shell=True)
-
-					# Start daemon
-					command22 = "systemctl start ipfs"
-					results22 = subprocess.Popen(command22, shell=True)
-
-					# Check if daemon is running
-					command3 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l"
-					results3 = subprocess.check_output(command3, shell=True)
-					results3 = results3.decode()
-
-					if(int(results3) > 0):
-							# Downloads image from ipfs as a test
-							command5 = "bash -c \"export IPFS_PATH="+ ipfs_path + " && ipfs cat /ipfs/QmSgvgwxZGaBLqkGyWemEDqikCqU52XxsYLKtdy3vGZ8uq >" + ipfs_path + "/test.jpg \" " 
-							results5 = subprocess.Popen(command5, shell=True)
-
-							# Time out for 2 seconds to allow the file to download
-							time.sleep(5)	 
-
-							if os.path.exists(ipfs_path + "/test.jpg"):
-								if os.path.getsize(ipfs_path + "/test.jpg") > 0:
-									# Remove the test file
-									pass
-								else:
-									raise Exception("ipfs failed to download test file")
-							
-							os.remove(ipfs_path + "/test.jpg")
-								
-					else:
-						raise Exception("ipfs failed to download test file")
-			
-				except Exception as e:
-					# Should this return an error or log it like line 673
-					return str(e)
-
-				finally:
-					command6 = "systemctl stop ipfs"
-					results6 = subprocess.Popen(command6, shell=True)
-
-			else:
-				#NOTE: Not sure if this needs to logged or excepted 
-				print('You need to be root to write to /etc/systemd/system/ipfs.service')
-
-			if "exit" not in results1:
-				identity = results1.split("\n")
-				identity = identity[1].replace("peer identity: ","").strip()
-			ipfs_id = json.loads(results2)
-			identity = ipfs_id['ID']
-			public_key = ipfs_id['PublicKey']
-			config = json.loads(results4) 
-			#ipfs_daemon = results7 
-			results = {
-				"config":config,
-				"identity":identity,
-				"public_key":public_key,
-#                "ipfs_daemon":ipfs_daemon
-			}
-			return results
-		
-	def run_ipfs_cluster_service(self, **kwargs):
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-		else:
-			ipfs_path = self.ipfs_path
-
-		ipfs_path = ipfs_path + "ipfs/"
-		os.makedirs(ipfs_path, exist_ok=True)
-
-		command = "IPFS_CLUSTER_PATH="+ self.ipfs_path +" ipfs-cluster-service"
-		results = subprocess.Popen(command, shell=True)
-		return results
-	
-	def run_ipfs_cluster_ctl(self, **kwargs):
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			ipfs_path = ipfs_path + "ipfs/"
-			os.makedirs(ipfs_path, exist_ok=True)
-		else:
-			ipfs_path = self.ipfs_path          
-			ipfs_path = ipfs_path + "ipfs/"
-			os.makedirs(ipfs_path, exist_ok=True)
-
-		command = "IPFS_CLUSTER_PATH="+ self.ipfs_path +"/ipfs/ ipfs-cluster-ctl"
-		results = subprocess.Popen(command, shell=True)
-		return results
-	
-	def run_ipfs_cluster_follow(self, **kwargs):
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-			ipfs_path = ipfs_path + "ipfs/"
-			os.makedirs(ipfs_path, exist_ok=True)
-		else:
-			ipfs_path = self.ipfs_path          
-			ipfs_path = ipfs_path + "ipfs/"
-			os.makedirs(ipfs_path, exist_ok=True)
-		try:
-			command7 = "IPFS_PATH="+ ipfs_path + "/ipfs/ ipfs daemon --enable-pubsub-experiment"
-			results7 = subprocess.Popen(command7, shell=True)
-		except Exception as e:
-			results7 = str(e)
-		finally:
-			pass
-		return results7
-	
-	def run_ipfs_daemon(self, **kwargs):
-		if "ipfs_path" in list(kwargs.keys()):
-			ipfs_path = kwargs['ipfs_path']
-		else:
-			ipfs_path = self.ipfs_path
-
-		if ipfs_path[-1] != "/":
-			ipfs_path = ipfs_path + "/ipfs/"
-		else:
-			ipfs_path = ipfs_path + "ipfs/"
-		os.makedirs(ipfs_path, exist_ok=True)
-
-		try:
-			command7 = "IPFS_PATH="+ ipfs_path + " ipfs daemon --enable-pubsub-experiment"
-			results7 = subprocess.Popen(command7, shell=True)
-		except Exception as e:
-			results7 = str(e)
-		finally:
-			pass
-	
-		return results7
-	
-	def uninstall_ipfs(self):
-		try:
-			command = "ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | xargs kill -9"
-			results = subprocess.run(command, shell=True)
-
-			command = "which ipfs"
-			results = subprocess.check_output(command, shell=True)
-			results = results.decode()
-
-			command = "sudo rm " + results
-			results = subprocess.check_output(command, shell=True)
-			
-			command = "sudo rm -rf " + self.ipfs_path
-			results = subprocess.check_output(command, shell=True)
-
-			command = "sudo rm -rf /etc/systemd/system/ipfs.service"
-			results = subprocess.check_output(command, shell=True)
-			
-			return True
-		except Exception as e:
-			results = str(e)
-			return False
-		finally:
-			pass
-
-	def uninstall_ipfs_cluster_service(self):
-		# TODO: This needs to be tested
-		try:
-			command = "ps -ef | grep ipfs-cluster-service | grep -v grep | awk '{print $2}' | xargs kill -9"
-			results = subprocess.run(command, shell=True)
-			
-			command = "which ipfs-cluster-service"
-			results = subprocess.check_output(command, shell=True)
-			results = results.decode()
-			
-			command = "sudo rm " + results
-			results = subprocess.check_output(command, shell=True)
-			
-			command = "sudo rm -rf ~/.ipfs-cluster"
-			results = subprocess.check_output(command, shell=True)
-
-			command = "sudo rm -rf /etc/systemd/system/ipfs-cluster-service.service"
-			results = subprocess.check_output(command, shell=True)
-			
-			return True
-		except Exception as e:
-			results = str(e)
-			return False
-		finally:
-			pass
-
-
-
-	def uninstall_ipfs_cluster_follow(self):
-		try:
-			command = "ps -ef | grep  ipfs-cluster-follow | grep -v grep | awk '{print $2}' | xargs kill -9"
-			results = subprocess.run(command, shell=True)
-			
-			command = "which ipfs-cluster-follow"
-			results = subprocess.check_output(command, shell=True)
-			results = results.decode()
-			
-			command = "sudo rm " + results
-			results = subprocess.check_output(command, shell=True)
-			
-			command = "sudo rm -rf ~/.ipfs-cluster-follow"
-			results = subprocess.check_output(command, shell=True)
-
-			command = "sudo rm -rf /etc/systemd/system/ipfs-cluster-follow.service"
-			results = subprocess.check_output(command, shell=True)
-
-			return True
-		
-		except Exception as e:
-			results = str(e)
-			return False
-		finally:
-			pass
-
-
-	def uninstall_ipfs_cluster_ctl(self):
-		try:
-			command = "ps -ef | grep ipfs-cluster-ctl | grep -v grep | awk '{print $2}' | xargs kill -9"
-			results = subprocess.run(command, shell=True)
-
-			command = "which ipfs-cluster-ctl"
-			results = subprocess.check_output(command, shell=True)
-			results = results.decode()
-
-			command = "sudo rm " + results
-			results = subprocess.check_output(command, shell=True)
-			
-			return True
-		except Exception as e:
-			results = str(e)
-			return False
-		finally:
-			pass
-
-	def uninstall_ipget(self):
-		try:
-			command = "ps -ef | grep ipget | grep -v grep | awk '{print $2}' | xargs kill -9"
-			results = subprocess.run(command, shell=True)
-
-			command = "which ipget"
-			results = subprocess.check_output(command, shell=True)
-			results = results.decode()
-
-			command = "sudo rm " + results
-			results = subprocess.check_output(command, shell=True)
-			
-			return True
-		except Exception as e:
-			results = str(e)
-			return False
-		finally:
-			pass
-	
-	def test_uninstall(self):
-		if self.role == "leecher" or self.role == "worker" or self.role == "master":
-			ipfs = self.uninstall_ipfs()
-			ipget = self.uninstall_ipget()
-			pass
-		if self.role == "master":
-			cluster_service  = self.uninstall_ipfs_cluster_service()
-			cluster_ctl = self.uninstall_ipfs_cluster_ctl()
-			pass
-		if self.role == "worker":
-			cluster_follow = self.uninstall_ipfs_cluster_follow()
-			pass
-
-	def install_executables(self, **kwargs):
-		results = {}
-		if self.role == "leecher" or self.role == "worker" or self.role == "master":
-			ipfs = self.install_ipfs_daemon()
-			results["ipfs"] = ipfs
-		pass
-		if self.role == "master":
-			cluster_service  = self.install_ipfs_cluster_service()
-			cluster_ctl = self.install_ipfs_cluster_ctl()
-			results["cluster_service"] = cluster_service
-			results["cluster_ctl"] = cluster_ctl
-			pass
-		if self.role == "worker":
-			cluster_follow = self.install_ipfs_cluster_follow()
-			results["cluster_follow"] = cluster_follow
-			pass
-		return results
-	
-	def config_executables(self, **kwargs):
-		results = {}
-		if self.role == "leecher" or self.role == "worker" or self.role == "master":
-			ipfs_config = self.config_ipfs(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			results["ipfs_config"] = ipfs_config["config"]
-			pass
-		if self.role == "master":
-			cluster_service_config = self.config_ipfs_cluster_service(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			cluster_ctl_config = self.config_ipfs_cluster_ctl(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			results["cluster_service_config"] = cluster_service_config
-			results["cluster_ctl_config"] = cluster_ctl_config
-			pass
-		if self.role == "worker":
-			cluster_follow_config = self.config_ipfs_cluster_follow(cluster_name = self.cluster_name, ipfs_path =  self.ipfs_path)
-			results["cluster_follow_config"] = cluster_follow_config
-			pass
-		return results
-	
-	def ipfs_test_install(self):
-		detect = os.system("which ipfs")
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass
-
-	def ipfs_cluster_service_test_install(self):
-		detect = os.system("which ipfs-cluster-service")
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass
-
-	def ipfs_cluster_follow_test_install(self):
-		detect = os.system("which ipfs-cluster-follow")
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass
-
-	def ipfs_cluster_ctl_test_install(self):
-		detect = os.system("which ipfs-cluster-ctl")
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass
-
-	def ipget_test_install(self):
-		detect = os.system("which ipget")
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass
-
-
-	def install_config(self, **kwargs):
-		results = {}
-		if self.role == "leecher" or self.role == "worker" or self.role == "master":
-			ipget = self.install_ipget()
-			ipfs = self.install_ipfs_daemon()
-			ipfs_config = self.config_ipfs(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			# NOTE: This fails some times but never when debugging so probably some sort of race issue 
-			results["ipfs"] = ipfs
-			results["ipfs_config"] = ipfs_config["config"]
-			self.run_ipfs_daemon()
-			pass
-		if self.role == "master":
-			cluster_service  = self.install_ipfs_cluster_service()
-			cluster_ctl = self.install_ipfs_cluster_ctl()
-			cluster_service_config = self.config_ipfs_cluster_service(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			cluster_ctl_config = self.config_ipfs_cluster_ctl(cluster_name = self.cluster_name, ipfs_path = self.ipfs_path)
-			results["cluster_service"] = cluster_service
-			results["cluster_ctl"] = cluster_ctl
-			results["cluster_service_config"] = cluster_service_config
-			results["cluster_ctl_config"] = cluster_ctl_config
-			pass
-		if self.role == "worker":
-			cluster_follow = self.install_ipfs_cluster_follow()
-			cluster_follow_config = self.config_ipfs_cluster_follow(cluster_name = self.cluster_name, ipfs_path =  self.ipfs_path)
-			results["cluster_follow"] = cluster_follow
-			results["cluster_follow_config"] = cluster_follow_config
-			pass
-
-		# NOTE: Check if this runs and completes successfully
-		systemctl_reload = "systemctl daemon-reload"
-		results["systemctl_reload"] = subprocess.run(systemctl_reload, shell=True)
-
-		return results
-
-if __name__ == "__main__":
-	meta = {
-		"role":"worker",
-		"cluster_name":"cloudkit_storage",
-		"cluster_location":"/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv",
-		#"cluster_location": "/ip4/167.99.96.231/udp/4001/quic-v1/p2p/12D3KooWS9pEXDb2FEsDv9TH4HicZgwhZtthHtSdSfyKKDnkDu8D",
-		"config":None,
-		"ipfs_path":"/home/kensix/.cache/ipfs",
-	}
-	install = install_ipfs(None, meta=meta) 
-	# results = install.test_uninstall()
-	
-	results = install.install_config()
-
-	print(results)
-	pass
diff --git a/ipfs_transformers/ipfs_kit_lib/ipfs.py b/ipfs_transformers/ipfs_kit_lib/ipfs.py
deleted file mode 100644
index cdd0156..0000000
--- a/ipfs_transformers/ipfs_kit_lib/ipfs.py
+++ /dev/null
@@ -1,506 +0,0 @@
-import os 
-import subprocess
-import tempfile
-import sys
-import json
-import time
-import datetime
-import shutil
-import pathlib
-
-class ipfs:
-	def __init__(self, resources, meta=None):
-		if meta is not None:
-			if "config" in meta:
-				if meta['config'] is not None:
-					self.config = meta['config']
-			if "role" in meta:
-				if meta['role'] is not None:
-					self.role = meta['role']
-					if self.role not in  ["master","worker","leecher"]:
-						raise Exception("role is not either master, worker, leecher")
-					else:
-						self.role = "leecher"
-			
-			if "cluster_name" in meta:
-				if meta['cluster_name'] is not None:
-					self.cluster_name = meta['cluster_name']
-
-			if "ipfs_path" in meta:
-				if meta['ipfs_path'] is not None:
-					self.ipfs_path = meta['ipfs_path']
-
-			if self.role == "leecher" or self.role == "worker" or self.role == "master":
-				self.commands = {
-
-				}
-				pass
-
-	def daemon_start(self, **kwargs):
-		if "cluster_name" in list(self.__dict__.keys()):
-			cluster_name = self.cluster_name
-		if "cluster_name" in kwargs:
-			cluster_name = kwargs['cluster_name']
-		
-		results1 = None
-		results2 = None
-		ipfs_ready = False
-		# NOTE: Change this so it tries to start the daemon via systemctl first, then tries to start it via bash
-		#  		if systemctl
-		# 		ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l
-
-		# Run this if root and check if it passes 
-		if(os.geteuid() == 0):
-			try:
-				command1 = "systemctl start ipfs"
-				results1 = subprocess.check_output(command1, shell=True)
-				results1 = results1.decode()
-			
-				command1 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l"
-				execute1 = subprocess.check_output(command1, shell=True)
-				execute1 = execute1.decode().strip()
-				if int(execute1) > 0:
-					ipfs_ready = True
-			
-			except Exception as error:
-				results1 = str(error)
-			finally:
-				pass
-
-		# Run this if user is not root or root user fails check if it passes
-		if(os.geteuid() != 0 or ipfs_ready == False):
-			try:
-				command2 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs daemon --enable-gc --enable-pubsub-experiment " 
-				results2 = subprocess.Popen(command2, shell=True, stdout=subprocess.PIPE)
-				#os.system(command2)
-			except Exception as error:
-				results2 = str(error)
-			finally:
-				pass
-
-		results = {
-			"systemctl": results1,
-			"bash": results2
-		}
-
-		return results
-
-	def daemon_stop(self, **kwargs):
-		if "cluster_name" in list(self.__dict__.keys()):
-			cluster_name = self.cluster_name
-		if "cluster_name" in kwargs:
-			cluster_name = kwargs['cluster_name']
-		
-		results1 = None
-		results2 = None
-		ipfs_ready = False
-
-		if(os.geteuid() == 0):
-			try:
-				command1 = "systemctl stop ipfs"
-				results1 = subprocess.check_output(command1, shell=True)
-				results1 = results1.decode()
-
-				command1 = "ps -ef | grep ipfs | grep daemon | grep -v grep | wc -l"
-				execute1 = subprocess.check_output(command1, shell=True)
-				execute1 = execute1.decode().strip()
-				if int(execute1) == 0:
-					ipfs_ready = True
-
-			except Exception as error:
-				results1 = str(error)
-			finally:
-				pass
-
-		if(os.geteuid() != 0 or ipfs_ready == False):
-			try:
-				command2 = "ps -ef | grep ipfs | grep daemon | grep -v grep | awk '{print $2}' | xargs kill -9" 
-				results2 = subprocess.check_output(command2, shell=True)
-				results2 = results2.decode()            
-			except Exception as error:
-				results2 = str(error)
-			finally:
-				pass
-	
-		results = {
-			"systemctl": results1,
-			"bash": results2
-		}
-				
-		return results 
-
-	def ipfs_resize(self, size, **kwargs):
-		command1 = self.daemon_stop()
-		command2 = "ipfs config --json Datastore.StorageMax " + size + "GB"
-		results1 = subprocess.check_output(command2, shell=True)
-		results1 = results1.decode()
-		command3 = self.daemon_start()
-		return results1
-
-	def ipfs_ls_pin(self, **kwargs):
-		if "hash" in kwargs:
-			hash = kwargs['hash']
-			request1 = None
-			try:
-				request1 = self.ipfs_execute({
-					"command": "cat",
-					"hash": hash
-				})
-			except Exception as error: 
-				print(error)
-				pass
-			finally:
-				if request1 != None:
-					return request1
-				pass
-			if request1 == None:
-				request2 = None
-				try:
-					command = "ipfs cat" + hash
-					request2 = subprocess.check_output(command, shell=True)
-				except Exception as error:
-					print(error)
-					pass
-				finally:
-					pass
-				return request2
-		raise Exception("hash not found")
-	
-
-	def ipfs_get_pinset(self, **kwargs):
-		with tempfile.NamedTemporaryFile(suffix=".txt", dir="/tmp") as this_tempfile:
-			command = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs pin ls -s > " + this_tempfile.name
-			process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-			process.wait()
-			results = process.stdout.read()
-			results = results.decode()
-			file_data = None
-			file_data = this_tempfile.read()
-			file_data = file_data.decode()
-			pinset = {}
-			parse_results = file_data.split("\n")
-			for i in range(len(parse_results)):
-				data = parse_results[i].split(" ")
-				if len(data) > 1:
-					pinset[data[0]] = data[1]
-
-			return pinset
-
-
-	def ipfs_add_pin(self, pin, **kwargs):
-		dirname = os.path.dirname(__file__)
-		try:    
-			command1 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && cd  "+ self.ipfs_path + "ipfs/ &&ipfs pin add " + pin 
-			#result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE)
-			result1 = subprocess.check_output(command1, shell=True)
-			result1 = result1.decode()
-		except Exception as error:
-			result1 = error
-		finally:
-			pass
-		return result1
-
-	def ipfs_mkdir(self, path, **kwargs):
-		this_path_split = path.split("/")
-		this_path = ""
-		results = []
-		for i in range(len(this_path_split)):
-			this_path = this_path + this_path_split[i] + "/"
-			command1 = 'export IPFS_PATH=' + self.ipfs_path + 'ipfs/ && ipfs files mkdir ' + this_path
-			result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE)
-			result1.wait()
-			result1 = result1.stdout.read()
-			result1 = result1.decode()
-			results.append(result1)
-
-		return results
-
-	def ipfs_add_path2(self, path, **kwargs):
-		ls_dir = []
-		if not os.path.exists(path):
-			raise Exception("path not found")
-		if os.path.isfile(path):
-			ls_dir = [path]
-			self.ipfs_mkdir(os.path.dirname(path), **kwargs)
-		elif os.path.isdir(path):
-			self.ipfs_mkdir(path, **kwargs)
-			ls_dir = os.listdir(path)
-			for i in range(len(ls_dir)):
-				ls_dir[i] = path + "/" + ls_dir[i]
-			
-		results1 = []
-		results2 = []
-		for i in range(len(ls_dir)):
-			argstring = ""
-			argstring = argstring + " --to-files=" + ls_dir[i] + " "
-			command1 = "ipfs add " + argstring + ls_dir[i]
-			result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE)
-			result1.wait()
-			result1 = result1.stdout.read()
-			result1 = result1.decode()
-			results1.append(result1)
-						
-		return results1
-
-	def ipfs_add_path(self, path, **kwargs):
-		argstring = ""
-		ls_dir = path
-		if not os.path.exists(path):
-			raise Exception("path not found")
-		if os.path.isfile(path):
-			self.ipfs_mkdir(os.path.dirname(path), **kwargs)
-		elif os.path.isdir(path):
-			self.ipfs_mkdir(path, **kwargs)
-		argstring = argstring + "--recursive --to-files=" + ls_dir + " "
-		command1 = "ipfs add " + argstring + ls_dir
-		result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE)
-		result1.wait()
-		result1 = result1.stdout.read()
-		result1 = result1.decode()
-		result1 = result1.split("\n")
-		results = {}
-		for i in range(len(result1)):
-			result_split = result1[i].split(" ")
-			if len(result_split) > 1:
-				results[result_split[2]] = result_split[1]
-		return results
-	
-	def ipfs_remove_path(self, path, **kwargs):
-		result1 = None
-		result2 = None
-		stats = self.ipfs_stat_path(path, **kwargs)
-		if len(stats.keys()) == 0:
-			raise Exception("path not found")
-		pin = stats['pin']
-		if stats["type"] == "file":
-			command1 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs files rm " + path
-			result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE)
-			result1.wait()
-			result1 = result1.stdout.read()
-			result1 = result1.decode()
-			command2 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs pin rm " + pin
-			result2 = subprocess.Popen(command2, shell=True, stdout=subprocess.PIPE)
-			result2.wait()
-			result2 = result2.stdout.read()
-			result2 = result2.decode()
-			result2 = result2.split("\n")
-		elif stats["type"] == "directory":
-			contents = self.ipfs_ls_path(path, **kwargs)
-			for i in range(len(contents)):
-				if len(contents[i]) > 0:
-					result1 = self.ipfs_remove_path(path + "/" + contents[i], **kwargs)
-			pass
-		else:
-			raise Exception("unknown path type")
-		results = {
-			"files_rm": result1,
-			"pin_rm": result2
-		}
-		return results
-
-	def ipfs_stat_path(self, path, **kwargs):
-		try:
-			stat1 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs files stat " + path
-			results1 = subprocess.Popen(stat1, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-			results1.wait()
-			results1 = results1.stdout.read()
-			results1 = results1.decode()
-			results1 = results1.split("\n")
-		except Exception as error:
-			error1 = str(error)
-		finally:
-			pass
-		if len(results1) > 0 and isinstance(results1, list):
-			pin = results1[0]
-			size = float(results1[1].split(": ")[1])
-			culumulative_size = float(results1[2].split(": ")[1])
-			child_blocks = float(results1[3].split(": ")[1])
-			type = results1[4].split(": ")[1]
-			results = {
-				"pin": pin,
-				"size": size,
-				"culumulative_size": culumulative_size,
-				"child_blocks": child_blocks,
-				"type": type
-			}
-			return results
-		else:
-			return False
-
-
-	def ipfs_name_resolve(self, **kwargs):
-		result1 = None
-		try:
-			command1 = "export IPFS_PATH=" + self.ipfs_path + "/ipfs/ && ipfs name resolve " + kwargs['path']
-			result1 = subprocess.check_output(command1, shell=True)
-			result1 = result1.decode()
-		except Exception as e:
-			result1 = str(e)
-		finally:
-			pass
-		return result1
-
-	def ipfs_name_publish(self, path, **kwargs):
-		if not os.path.exists(path):
-			raise Exception("path not found")
-		results1 = None
-		results2 = None
-		try:    
-			command1 = "export IPFS_PATH=" + self.ipfs_path + "/ipfs/ && ipfs add --cid-version 1 " + path
-			results1 = subprocess.check_output(command1, shell=True)
-			results1 = results1.decode().strip()
-			cid = results1.split(" ")[1]
-			fname = results1.split(" ")[2]
-			results1 = {
-				fname: cid
-			}
-		except Exception as e:
-			results1 = str(e)
-		finally:
-			pass
-
-		try:
-			command2 = "export IPFS_PATH=" + self.ipfs_path + "/ipfs/ && ipfs name publish " + cid
-			results2 = subprocess.check_output(command2, shell=True)
-			results2 = results2.decode()
-			results2 = results2.split(":")[0].split(" ")[-1]
-		except Exception as e:
-			results2 = str(e)
-		finally:
-			pass
-
-		results = {
-			"add": results1,
-			"publish": results2
-		}
-		return results
-
-	def ipfs_ls_path(self, path, **kwargs):
-		try:
-			stat1 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs files ls " + path
-			results1 = subprocess.Popen(stat1, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-			results1.wait()
-			results1 = results1.stdout.read()
-			results1 = results1.decode()
-			results1 = results1.split("\n")
-		except Exception as error:
-			results1 = str(error)
-		finally:
-			pass
-		if len(results1) > 0 and isinstance(results1, list):
-			return results1
-		else:
-			return False
-
-	def ipfs_remove_pin(self, cid, **kwargs):
-		try:
-			command1 = "export IPFS_PATH=" + self.ipfs_path + "ipfs/ && ipfs pin rm " + cid
-			result1 = subprocess.Popen(command1, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-			result1.wait()
-			stdout = result1.stdout.read()
-			stderr = result1.stderr.read()
-		except Exception as error:
-			result1 = error
-			result1 = str(result1)
-		finally:
-			pass
-		stdout = stdout.decode()
-		stderr = stderr.decode()
-		if "unpinned" in stdout:
-			result1 = True
-		return result1
-   
-	def ipfs_get(self, hash, file, **kwargs):
-		kwargs['hash'] = hash
-		kwargs['file'] = file
-		request = self.ipfs_execute("get", **kwargs)
-		metadata = {}
-		suffix = file.split(".")[-1]
-		with open(file, "r") as this_file:
-			results = this_file.read()
-			metadata["hash"] = hash
-			metadata["file_name"] = file
-			metadata["file_size"] = len(results)
-			metadata["file_type"] = suffix
-			metadata["mtime"] = os.stat(file).st_mtime
-			
-		return metadata
-
-	def ipfs_execute(self, command, **kwargs):
-		if type(kwargs) is not dict:
-			raise Exception("kwargs must be a dictionary")
-
-		executable = "ipfs "
-		options = ["add", "pin", "unpin", "get", "cat", "ls", "refs", "refs-local", "refs-local-recursive", "refs-remote", "refs-remote-recursive", "repo", "version"]
-
-		if command == "add":
-			execute = executable + "add " + kwargs['file']
-
-		if "hash" not in kwargs:
-			raise Exception("hash not found in kwargs")
-		
-		if command == "get":
-			execute = executable + "get " + kwargs['hash'] + " -o " +  kwargs['file']
-			pass
-		
-		if command == "pin":
-			execute = executable + "pin add " + kwargs['hash']
-
-		if command == "unpin":
-			execute = executable + "pin rm " + kwargs['hash']
-
-		if command == "cat":
-			execute = executable + "cat " + kwargs['hash']
-
-		if command == "ls":
-			execute = executable + "ls " + kwargs['hash']
-
-		if command == "refs":
-			execute = executable + "refs " + kwargs['hash']
-
-		if command == "refs-local":
-			execute = executable + "refs local " + kwargs['hash']
-		
-		if command == "refs-local-recursive":
-			execute = executable + "refs local --recursive " + kwargs['hash']
-
-		if command == "refs-remote":
-			execute = executable + "refs remote " + kwargs['hash']
-
-		if command == "refs-remote-recursive":
-			execute = executable + "refs remote --recursive " + kwargs['hash']
-
-		if command == "repo":
-			execute = executable + "repo " + kwargs['hash']
-
-		if command == "version":
-			execute = executable + "version " + kwargs['hash']
-
-		try:
-			output = subprocess.Popen(execute, shell=True, stdout=subprocess.PIPE) 
-			output.wait()
-			output = output.stdout.read()
-			output = output.decode()
-			print(f"stdout: {output}")
-			return output
-		except Exception as e:
-			print(f"error: {e}")
-			output = e
-			return output
-
-		
-
-	def test_ipfs(self):
-		detect = subprocess.check_output("which ipfs", shell=True)
-		detect = detect.decode()
-		if len(detect) > 0:
-			return True
-		else:
-			return False
-		pass    
-
-if __name__ == "__main__":
-	this_ipfs = ipfs(None)
-	results = this_ipfs.test_ipfs()
-	print(results)
-	pass
diff --git a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_ctl.py b/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_ctl.py
deleted file mode 100644
index a2c9b96..0000000
--- a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_ctl.py
+++ /dev/null
@@ -1,174 +0,0 @@
-import os
-import subprocess
-import tempfile
-import sys
-import json
-
-class ipfs_cluster_ctl:
-    def __init__(self, resources, meta=None):
-        if meta is not None:
-            if "config" in meta:
-                if meta['config'] is not None:
-                    self.config = meta['config']
-            if "role" in meta:
-                if meta['role'] is not None:
-                    self.role = meta['role']
-                    if self.role not in  ["master","worker","leecher"]:
-                        raise Exception("role is not either master, worker, leecher")
-                    else:
-                        self.role = "leecher"
-
-            if self.role == "leecher" or self.role == "worker" or self.role == "master":
-                pass
-        
-    def ipfs_cluster_ctl_add_pin(self, path, **kwargs):
-        if not os.path.exists(path):
-            raise Exception("path not found")
-        ls_dir = os.path.walk(path)
-        argstring = ""
-        results = []
-        for i in range(len(ls_dir)):
-            argstring = argstring + " --metadata " + ls_dir[i]
-            command = "ipfs-cluster-ctl pin add " + ls_dir[i] + argstring
-            result = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-            result.wait()
-            result = result.stdout.read()
-            result = result.decode()
-            results.append(result)
-        return results
-
-    
-    def ipfs_cluster_ctl_remove_pin(self, path, **kwargs):
-        if not os.path.exists(path):
-            raise Exception("path not found")
-        ls_dir = os.path.walk(path)
-        argstring = ""
-        results = []
-        for i in range(len(ls_dir)):
-            argstring = argstring + " --metadata " + ls_dir[i]
-            command = "ipfs-cluster-ctl pin add " + ls_dir[i] + argstring
-            result = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-            result.wait()
-            result = result.stdout.read()
-            result = result.decode()
-            results.append(result)
-        return results
-
-
-    def ipfs_cluster_ctl_add_pin_recursive(self, path, **kwargs):
-        if not os.path.exists(path):
-            raise Exception("path not found")
-        ls_dir = os.path.walk(path)
-        argstring = ""
-        results = []
-        for i in range(len(ls_dir)):
-            argstring = argstring + " --metadata " + ls_dir[i]
-            command = "ipfs-cluster-ctl pin add -r " + ls_dir[i] + argstring
-            result = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-            result.wait()
-            result = result.stdout.read()
-            result = result.decode()
-            results.append(result)
-        return results
-
-
-    def ipfs_cluster_ctl_execute(self, args):
-        executable = "ipfs-cluster-ctl "
-        options = ["id", "peers", "add", "pin", "status", "recover", "version", "health", "ipfs" ]
-
-        arg0 = args[0]
-        arg1 = args[1]
-
-        if args[0] in options:
-            if args[0] != None:
-                if args[1] != None:
-                    command = executable + args[0] + " " + args[1]
-                else:
-                    command = executable + args[0]
-            
-            if args[0] == "peers":
-                if args[1] not in ["ls", "rm"]:
-                    raise Exception("invalid option")
-                
-            if args[0] == "pin":
-                if args[1] not in ["add","rm","ls","update"]:
-                    raise Exception("invalid option")
-            
-            if args[0] == "status":
-                pass
-            
-            if args[0] == "recover":
-                pass
-            
-            if args[0] == "health":
-                if args[1] not in ["graph","metrics","alerts"]:
-                    raise Exception("invalid option")
-            
-            if args[0] == "ipfs":
-                if args[1] not in ["gc"]:
-                    raise Exception("invalid option")
-            
-            if args[0] == "version":
-                pass
-
-            if args[0] == "add":                
-                path = args[-1]
-                options = args[1:-1]
-                command = executable + "add "  + options.join(" ") + " " + path
-                
-        try:
-            output = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-            print(f"stdout: {output.decode()}")
-        except Exception as e:
-            print(f"error: {e}")
-            output = e
-        
-        return output
-    
-    def ipfs_cluster_get_pinset(self, **kwargs):
-        with tempfile.NamedTemporaryFile(suffix=".txt", dir="/tmp") as this_tempfile:
-            command = "ipfs-cluster-ctl pin ls > " + this_tempfile.name
-            process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
-            process.wait()
-            results = process.stdout.read()
-            results = results.decode()
-            file_data = None
-            file_data = this_tempfile.read()
-            file_data = file_data.decode()
-            self.cluster_pinset = file_data
-            pinset = {}
-            parse_results = file_data.split("\n")
-            for i in range(len(parse_results)):
-                results_list = parse_results[i].split(" | ")
-                result_dict = {}
-                for j in range(len(results_list)):
-                    cell_split = results_list[j].split(":")
-                    if(len(cell_split) > 1):
-                        this_key = cell_split[0].replace(" ", "")
-                        this_value = cell_split[1].replace(" ", "")
-                        result_dict[this_key] = this_value
-                if len(result_dict) > 1:
-                    pinset[results_list[0]] = result_dict
-
-            return pinset
-    
-    def ipfs_cluster_ctl_status(self):
-        command = "ipfs-cluster-ctl status"
-        results = subprocess.check_output(command, shell=True)
-        results = results.decode()
-        return results
-    
-
-    def test_ipfs_cluster_ctl(self):
-        detect = os.system("which ipfs-cluster-ctl")
-        if len(detect) > 0:
-            return True
-        else:
-            return False
-        pass
-
-if __name__ == "__main__":
-    this_ipfs_cluster_ctl = ipfs_cluster_ctl()
-    results = this_ipfs_cluster_ctl.test_ipfs_cluster_ctl()
-    print(results)
-    pass
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_follow.py b/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_follow.py
deleted file mode 100644
index 5a7e4a2..0000000
--- a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_follow.py
+++ /dev/null
@@ -1,213 +0,0 @@
-import sys
-import os
-import subprocess
-import tempfile
-import json
-
-class ipfs_cluster_follow:
-    def __init__(self, resources, meta=None):
-        if meta is not None:
-            if "config" in meta:
-                if meta['config'] is not None:
-                    self.config = meta['config']
-            if "role" in meta:
-                if meta['role'] is not None:
-                    self.role = meta['role']
-                    if self.role not in  ["master","worker","leecher"]:
-                        raise Exception("role is not either master, worker, leecher")
-                    else:
-                        self.role = "leecher"
-            
-            if "cluster_name" in meta:
-                if meta['cluster_name'] is not None:
-                    self.cluster_name = meta['cluster_name']
-
-            if self.role == "leecher" or self.role == "worker" or self.role == "master":
-                pass
-
-    def ipfs_follow_start(self, **kwargs):
-        if "cluster_name" in list(self.__dict__.keys()):
-            cluster_name = self.cluster_name
-        if "cluster_name" in kwargs:
-            cluster_name = kwargs['cluster_name']
-        try:
-            if os.getuid() == 0:
-                command1 = "systemctl start ipfs-cluster-follow"
-                results1 = subprocess.check_output(command1, shell=True)
-                results1 = results1.decode()
-            else:
-                results1 = "You need to be root to run this command"
-        except Exception as e:
-            results = str(e)
-        finally:
-            pass
-        detect = "ps -ef | grep ipfs-cluster-follow | grep -v grep | awk '{print $2}'"
-        detect_results = subprocess.check_output(detect, shell=True)
-        detect_results = detect_results.decode()
-        results2 = False
-
-        if len(detect_results) == 0:
-            homedir = os.path.expanduser("~")
-            ls_file = os.listdir(homedir + "/.ipfs-cluster-follow/" + cluster_name)      
-            if "api-socket" in ls_file:
-                rm_command = "rm ~/.ipfs-cluster-follow/" + cluster_name + "/api-socket"
-                rm_results = subprocess.check_output(rm_command, shell=True)
-                rm_results = rm_results.decode()
-                results2 = True   
-            try:
-                command2 = "/usr/local/bin/ipfs-cluster-follow " + cluster_name + " run"
-                results2 = subprocess.Popen(command2, shell=True, stdout=subprocess.PIPE)
-            except Exception as e:
-                results = str(e)
-            finally:
-                pass
-
-        results = {
-            "systemctl": results1,
-            "bash": results2
-        }
-        return results
-
-    def ipfs_follow_stop(self, **kwargs):
-        if "cluster_name" in list(self.__dict__.keys()):
-            cluster_name = self.cluster_name
-        if "cluster_name" in kwargs:
-            cluster_name = kwargs['cluster_name']
-        try:
-            if os.getuid() == 0:
-                command1 = "systemctl stop ipfs-cluster-follow"
-                results1 = subprocess.check_output(command1, shell=True)
-                results1 = results1.decode()
-            else:
-                results1 = "You need to be root to run this command"
-        except Exception as e:
-            results1 = str(e)
-        finally:
-            pass
-        try:
-            command2 = "ps -ef | grep ipfs-cluster-follow | grep -v grep | awk '{print $2}' | xargs kill -9"
-            results2 = subprocess.check_output(command2, shell=True)
-            results2 = results2.decode()
-        except Exception as e:
-            results2 = str(e)
-        finally:
-            pass
-
-        try:
-            command3 = "rm ~/.ipfs-cluster-follow/" + cluster_name + "/api-socket"
-            results3 = subprocess.check_output(command3, shell=True)
-            results3 = results3.decode()
-        except Exception as e:
-            results3 = str(e)
-        finally:
-            pass
-
-        results = {
-            "systemctl": results1,
-            "bash": results2,
-            "api-socket": results3
-        }
-        return results  
-
-#    def ipfs_follow_run(self, **kwargs):
-#        if "cluster_name" in list(self.keys()):
-#            cluster_name = self.cluster_name
-#        if "cluster_name" in kwargs:
-#            cluster_name = kwargs['cluster_name']
-#
-#        command = "ipfs cluster-follow " + cluster_name + " run"
-#        results = subprocess.check_output(command, shell=True)
-#        results = results.decode()
-#        return results
-
-    def ipfs_follow_list(self, **kwargs):
-        if "cluster_name" in list(self.__dict__.keys()):
-            cluster_name = self.cluster_name
-        if "cluster_name" in kwargs:
-            cluster_name = kwargs['cluster_name']
-
-        command = "ipfs-cluster-follow " + cluster_name + " list"
-        results = subprocess.check_output(command, shell=True)
-        results = results.decode()
-        results_dict = {}
-        if len(results) > 0:
-            results = results.split("\n")
-            for i in range(len(results)):
-
-                while "  " in results[i]:
-                    results[i] = results[i].replace("  ", " ")
-
-                results[i] = results[i].split(" ")
-                if len(results[i]) >= 2:
-                    results[i] = {
-                        results[i][1]: results[i][0]
-                    }
-
-            for i in range(len(results)):
-                if type(results[i]) == dict:
-                    key = list(results[i].keys())[0]
-                    value = results[i][key]
-                    results_dict[key] = value
-                    
-            return results_dict
-        else:
-            return False
-
-    def ipfs_follow_info(self, **kwargs):
-        results_dict = {}
-        if "cluster_name" in list(self.__dict__.keys()):
-            cluster_name = self.cluster_name
-        if "cluster_name" in list(kwargs.keys()):
-            cluster_name = kwargs['cluster_name']
-        try:
-            command = "ipfs-cluster-follow " + cluster_name + " info"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-            results = results.split("\n")
-            if len(results) > 0:
-                results_dict = {
-                    "cluster_name": cluster_name,
-                    "config_folder": results[2].split(": ")[1],
-                    "config_source": results[3].split(": ")[1],
-                    "cluster_peer_online": results[4].split(": ")[1],
-                    "ipfs_peer_online": results[5].split(": ")[1],
-                }
-
-        except Exception as e:
-            results = str(e)
-        finally:
-            pass
-        
-        return results_dict
-        
-    
-    def ipfs_follow_run(self, **kwargs):
-        if "cluster_name" in list(self.keys()):
-            cluster_name = self.cluster_name
-        if "cluster_name" in kwargs:
-            cluster_name = kwargs['cluster_name']
-
-        command = "ipfs-cluster-follow "+ cluster_name +" run"
-        results = subprocess.check_output(command, shell=True)
-        results = results.decode()
-        results = results.split("\n")
-        return results
-
-
-    def test_ipfs_cluster_follow(self):
-        detect = subprocess.check_output("which ipfs-cluster-follow", shell=True)
-        detect = detect.decode()
-        if len(detect) > 0:
-            return True
-        else:
-            return False
-        pass
-
-if __name__ == "__main__":
-    meta = {
-        "cluster_name": "test"
-    }
-    this_ipfs_cluster_follow = ipfs_cluster_follow(meta)
-    results = this_ipfs_cluster_follow.test_ipfs_cluster_follow()
-    print(results)
-    pass
diff --git a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_service.py b/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_service.py
deleted file mode 100644
index d39a55c..0000000
--- a/ipfs_transformers/ipfs_kit_lib/ipfs_cluster_service.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import sys
-import os
-import subprocess
-import tempfile
-import json
-
-class ipfs_cluster_service:
-    def __init__(self, resources, meta=None):
-        if meta is not None:
-            if "config" in meta:
-                if meta['config'] is not None:
-                    self.config = meta['config']
-            if "role" in meta:
-                if meta['role'] is not None:
-                    self.role = meta['role']
-                    if self.role not in  ["master","worker","leecher"]:
-                        raise Exception("role is not either master, worker, leecher")
-                    else:
-                        self.role = "leecher"
-
-            if self.role == "leecher" or self.role == "worker" or self.role == "master":
-                pass
-        
-    def test_ipfs_cluster_service(self):
-        detect = os.system("which ipfs-cluster-service")
-        if len(detect) > 0:
-            return True
-        else:
-            return False
-        pass
-
-    def ipfs_cluster_service_start(self):
-        if os.getuid() == 0:
-            command = "systemctl start ipfs-cluster-service"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        else:
-            # TODO: Update these commands!!!!
-            command = "ipfs-cluster-service daemon --bootstrap /ip4/167.99.96.231/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        
-        return results  
-    
-    def ipfs_cluster_service_stop(self):
-        if os.getuid() == 0:
-            command = "systemctl stop ipfs-cluster-service"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        else:
-            command = "ps -ef | grep ipfs-cluster-service | grep -v grep | awk '{print $2}' | xargs kill -9"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        return results
-    
-    def ipfs_cluster_service_status(self):
-        if os.getuid() == 0:
-            command = "ipfs-cluster-service status"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        else:
-            command = "ps -ef | grep ipfs-cluster-service | grep daemon | grep -v grep | wc -l"
-            results = subprocess.check_output(command, shell=True)
-            results = results.decode()
-        return results
-
-if __name__ == "__main__":
-    this_ipfs_cluster_service = ipfs_cluster_service()
-    results = this_ipfs_cluster_service.test_ipfs_cluster_service()
-    print(results)
-    pass
diff --git a/ipfs_transformers/ipfs_kit_lib/ipget.py b/ipfs_transformers/ipfs_kit_lib/ipget.py
deleted file mode 100644
index 8c14f31..0000000
--- a/ipfs_transformers/ipfs_kit_lib/ipget.py
+++ /dev/null
@@ -1,97 +0,0 @@
-import sys
-import os
-import subprocess
-import tempfile
-import json
-import time
-
-class ipget:
-    def __init__(self, resources, meta=None):
-        if meta is not None:
-            if "config" in meta:
-                if meta['config'] is not None:
-                    self.config = meta['config']
-            if "role" in meta:
-                if meta['role'] is not None:
-                    self.role = meta['role']
-                    if self.role not in  ["master","worker","leecher"]:
-                        raise Exception("role is not either master, worker, leecher")
-                    else:
-                        self.role = "leecher"
-            
-            if "cluster_name" in meta:
-                if meta['cluster_name'] is not None:
-                    self.cluster_name = meta['cluster_name']
-
-            if "ipfs_path" in meta:
-                if meta['ipfs_path'] is not None:
-                    self.ipfs_path = meta['ipfs_path']
-
-            if self.role == "leecher" or self.role == "worker" or self.role == "master":
-                pass
-        
-    def ipget_download_object(self, **kwargs):
-        # NOTE: Make sure this function can download both files and folders 
-        if "cid" not in kwargs:
-            raise Exception("cid not found in kwargs")
-        if "path" not in kwargs:
-            raise Exception("path not found in kwargs")
-        if os.path.exists(kwargs['path']):
-            pass
-        #check if folder exists
-        if not os.path.exists(os.path.dirname(kwargs['path'])):
-            os.makedirs(os.path.dirname(kwargs['path']))
-            
-        command = "export IPFS_PATH=" + self.ipfs_path + " && ipfs get " + kwargs['cid'] + " -o " + kwargs['path']
-        process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-
-        start_time = time.time()
-        timeout = 5
-
-        while True:
-            if process.poll() is not None:
-                stdout, stderr = process.communicate()
-                stdout.decode()
-                stderr.decode()
-                break
-
-            if time.time() - start_time > timeout:
-                process.kill()
-                raise Exception("Command timed out")
-
-            time.sleep(1)
-
-        results, error = process.communicate()
-        results = results.decode()
-
-        mtime = os.stat(kwargs['path']).st_mtime
-        filesize = os.stat(kwargs['path']).st_size
-        metadata = {
-            "cid": kwargs['cid'],
-            "path": kwargs['path'],
-            "mtime": mtime,
-            "filesize": filesize
-        }
-        return metadata
-
-# NOTE: Create test that feeds ipget_download_object with a CID and the path to local_path
-
-    def test_ipget(self):
-        detect = os.system("which ipget")
-        if int(detect) > 0 or True:
-            ipget_download_object = self.ipget_download_object(cid="QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1", path="/tmp/test")
-            return True
-        else:
-            return False
-        pass
-
-if __name__ == "__main__":
-    this_ipget = ipget(None, meta={"role":"leecher","ipfs_path":"/tmp/test/"})
-    results = this_ipget.test_ipget()
-    print(results)
-    pass
-
-# TODO:
-# TEST THIS COMMAND FOR OTHER PATHS
-# export IPFS_PATH=/mnt/ipfs/ipfs && ipfs get QmccfbkWLYs9K3yucc6b3eSt8s8fKcyRRt24e3CDaeRhM1 -o /tmp/test
-
diff --git a/ipfs_transformers/ipfs_kit_lib/peerstore b/ipfs_transformers/ipfs_kit_lib/peerstore
deleted file mode 100755
index 40337bb..0000000
--- a/ipfs_transformers/ipfs_kit_lib/peerstore
+++ /dev/null
@@ -1,28 +0,0 @@
-/ip4/172.29.29.10/tcp/9096/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/192.168.0.20/tcp/57468/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/18100/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/28143/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/97.120.209.166/tcp/38053/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea/p2p-circuit/p2p/12D3KooWNJN6azoq29bY4J3GjE8xQHdYZeQ72Ga6cXnnQ11Jx8fP
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWDYKMnVLKnP2SmM8umJEEKdhug93QYybmNUEiSe1Kwjmu
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWKw9XCkdfnf8CkAseryCgS3VVoGQ6HUAkY91Qc6Fvn4yv/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/25.18.152.214/tcp/9096/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.166.109/tcp/33661/p2p/12D3KooWECihD8h6TooNoqJAVFDsP5MgUiVcy7XYRRmkFM3yyYME/p2p-circuit/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.209.166/tcp/18100/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/97.120.209.166/tcp/38053/p2p/12D3KooWJ6mj5yii47Hedtfajahmcq1jhU1CmycvKoKoRFWyY4Ea
-/ip4/10.11.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/10.120.0.2/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/10.46.0.5/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/127.0.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/167.99.96.231/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
-/ip4/172.17.0.1/tcp/9096/p2p/12D3KooWFHz8Ze2LyrkkL7q3AqMU6TASaYcW2nmzpYwQodsq2SCV
diff --git a/ipfs_transformers/ipfs_kit_lib/service.json b/ipfs_transformers/ipfs_kit_lib/service.json
deleted file mode 100755
index 91b01b7..0000000
--- a/ipfs_transformers/ipfs_kit_lib/service.json
+++ /dev/null
@@ -1,261 +0,0 @@
-{
-  "cluster": {
-    "peername": "worker-1",
-    "secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3",
-    "leave_on_shutdown": false,
-    "listen_multiaddress": [
-      "/ip4/0.0.0.0/tcp/9096",
-      "/ip4/0.0.0.0/udp/9096/quic"
-    ],
-    "enable_relay_hop": true,
-    "connection_manager": {
-      "high_water": 400,
-      "low_water": 100,
-      "grace_period": "2m0s"
-    },
-    "dial_peer_timeout": "3s",
-    "state_sync_interval": "5m0s",
-    "pin_recover_interval": "12m0s",
-    "replication_factor_min": -1,
-    "replication_factor_max": -1,
-    "monitor_ping_interval": "15s",
-    "peer_watch_interval": "5s",
-    "mdns_interval": "10s",
-    "pin_only_on_trusted_peers": false,
-    "pin_only_on_untrusted_peers": false,
-    "disable_repinning": true,
-    "peer_addresses": []
-  },
-  "consensus": {
-    "crdt": {
-      "cluster_name": "ipfs-cluster",
-      "trusted_peers": [
-        "*"
-      ],
-      "batching": {
-        "max_batch_size": 0,
-        "max_batch_age": "0s"
-      },
-      "repair_interval": "1h0m0s"
-    }
-  },
-  "api": {
-    "ipfsproxy": {
-      "listen_multiaddress": "/ip4/127.0.0.1/tcp/9095",
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "log_file": "",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "1m0s",
-      "max_header_bytes": 4096
-    },
-    "pinsvcapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9097",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    },
-    "restapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9094",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    }
-  },
-  "ipfs_connector": {
-    "ipfshttp": {
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "connect_swarms_delay": "30s",
-      "ipfs_request_timeout": "5m0s",
-      "pin_timeout": "2m0s",
-      "unpin_timeout": "3h0m0s",
-      "repogc_timeout": "24h0m0s",
-      "informer_trigger_interval": 0
-    }
-  },
-  "pin_tracker": {
-    "stateless": {
-      "concurrent_pins": 10,
-      "priority_pin_max_age": "24h0m0s",
-      "priority_pin_max_retries": 5
-    }
-  },
-  "monitor": {
-    "pubsubmon": {
-      "check_interval": "15s"
-    }
-  },
-  "allocator": {
-    "balanced": {
-      "allocate_by": [
-        "tag:group",
-        "freespace"
-      ]
-    }
-  },
-  "informer": {
-    "disk": {
-      "metric_ttl": "30s",
-      "metric_type": "freespace"
-    },
-    "pinqueue": {
-      "metric_ttl": "30s",
-      "weight_bucket_size": 100000
-    },
-    "tags": {
-      "metric_ttl": "30s",
-      "tags": {
-        "group": "default"
-      }
-    }
-  },
-  "observations": {
-    "metrics": {
-      "enable_stats": false,
-      "prometheus_endpoint": "/ip4/127.0.0.1/tcp/8888",
-      "reporting_interval": "2s"
-    },
-    "tracing": {
-      "enable_tracing": false,
-      "jaeger_agent_endpoint": "/ip4/0.0.0.0/udp/6831",
-      "sampling_prob": 0.3,
-      "service_name": "cluster-daemon"
-    }
-  },
-  "datastore": {
-    "pebble": {
-      "pebble_options": {
-        "cache_size_bytes": 1073741824,
-        "bytes_per_sync": 1048576,
-        "disable_wal": false,
-        "flush_delay_delete_range": 0,
-        "flush_delay_range_key": 0,
-        "flush_split_bytes": 4194304,
-        "format_major_version": 1,
-        "l0_compaction_file_threshold": 750,
-        "l0_compaction_threshold": 4,
-        "l0_stop_writes_threshold": 12,
-        "l_base_max_bytes": 134217728,
-        "max_open_files": 1000,
-        "mem_table_size": 67108864,
-        "mem_table_stop_writes_threshold": 20,
-        "read_only": false,
-        "wal_bytes_per_sync": 0,
-        "levels": [
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 4194304
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 8388608
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 16777216
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 33554432
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 67108864
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 134217728
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 268435456
-          }
-        ],
-        "max_concurrent_compactions": 5
-      }
-    }
-  }
-}
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/service_follower.json b/ipfs_transformers/ipfs_kit_lib/service_follower.json
deleted file mode 100644
index 7e24995..0000000
--- a/ipfs_transformers/ipfs_kit_lib/service_follower.json
+++ /dev/null
@@ -1,261 +0,0 @@
-{
-  "cluster": {
-    "peername": "worker",
-    "secret": "96d5952479d0a2f9fbf55076e5ee04802f15ae5452b5faafc98e2bd48cf564d3",
-    "leave_on_shutdown": false,
-    "listen_multiaddress": [
-      "/ip4/0.0.0.0/tcp/9096",
-      "/ip4/0.0.0.0/udp/9096/quic"
-    ],
-    "enable_relay_hop": true,
-    "connection_manager": {
-      "high_water": 400,
-      "low_water": 100,
-      "grace_period": "2m0s"
-    },
-    "dial_peer_timeout": "3s",
-    "state_sync_interval": "5m0s",
-    "pin_recover_interval": "12m0s",
-    "replication_factor_min": -1,
-    "replication_factor_max": -1,
-    "monitor_ping_interval": "15s",
-    "peer_watch_interval": "5s",
-    "mdns_interval": "10s",
-    "pin_only_on_trusted_peers": false,
-    "pin_only_on_untrusted_peers": false,
-    "disable_repinning": true,
-    "peer_addresses": []
-  },
-  "consensus": {
-    "crdt": {
-      "cluster_name": "ipfs-cluster",
-      "trusted_peers": [
-        "*"
-      ],
-      "batching": {
-        "max_batch_size": 0,
-        "max_batch_age": "0s"
-      },
-      "repair_interval": "1h0m0s"
-    }
-  },
-  "api": {
-    "ipfsproxy": {
-      "listen_multiaddress": "/ip4/127.0.0.1/tcp/9095",
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "log_file": "",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "1m0s",
-      "max_header_bytes": 4096
-    },
-    "pinsvcapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9097",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    },
-    "restapi": {
-      "http_listen_multiaddress": "/ip4/127.0.0.1/tcp/9094",
-      "read_timeout": "0s",
-      "read_header_timeout": "5s",
-      "write_timeout": "0s",
-      "idle_timeout": "2m0s",
-      "max_header_bytes": 4096,
-      "basic_auth_credentials": null,
-      "http_log_file": "",
-      "headers": {},
-      "cors_allowed_origins": [
-        "*"
-      ],
-      "cors_allowed_methods": [
-        "GET"
-      ],
-      "cors_allowed_headers": [],
-      "cors_exposed_headers": [
-        "Content-Type",
-        "X-Stream-Output",
-        "X-Chunked-Output",
-        "X-Content-Length"
-      ],
-      "cors_allow_credentials": true,
-      "cors_max_age": "0s"
-    }
-  },
-  "ipfs_connector": {
-    "ipfshttp": {
-      "node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
-      "connect_swarms_delay": "30s",
-      "ipfs_request_timeout": "5m0s",
-      "pin_timeout": "2m0s",
-      "unpin_timeout": "3h0m0s",
-      "repogc_timeout": "24h0m0s",
-      "informer_trigger_interval": 0
-    }
-  },
-  "pin_tracker": {
-    "stateless": {
-      "concurrent_pins": 10,
-      "priority_pin_max_age": "24h0m0s",
-      "priority_pin_max_retries": 5
-    }
-  },
-  "monitor": {
-    "pubsubmon": {
-      "check_interval": "15s"
-    }
-  },
-  "allocator": {
-    "balanced": {
-      "allocate_by": [
-        "tag:group",
-        "freespace"
-      ]
-    }
-  },
-  "informer": {
-    "disk": {
-      "metric_ttl": "30s",
-      "metric_type": "freespace"
-    },
-    "pinqueue": {
-      "metric_ttl": "30s",
-      "weight_bucket_size": 100000
-    },
-    "tags": {
-      "metric_ttl": "30s",
-      "tags": {
-        "group": "default"
-      }
-    }
-  },
-  "observations": {
-    "metrics": {
-      "enable_stats": false,
-      "prometheus_endpoint": "/ip4/127.0.0.1/tcp/8888",
-      "reporting_interval": "2s"
-    },
-    "tracing": {
-      "enable_tracing": false,
-      "jaeger_agent_endpoint": "/ip4/0.0.0.0/udp/6831",
-      "sampling_prob": 0.3,
-      "service_name": "cluster-daemon"
-    }
-  },
-  "datastore": {
-    "pebble": {
-      "pebble_options": {
-        "cache_size_bytes": 1073741824,
-        "bytes_per_sync": 1048576,
-        "disable_wal": false,
-        "flush_delay_delete_range": 0,
-        "flush_delay_range_key": 0,
-        "flush_split_bytes": 4194304,
-        "format_major_version": 1,
-        "l0_compaction_file_threshold": 750,
-        "l0_compaction_threshold": 4,
-        "l0_stop_writes_threshold": 12,
-        "l_base_max_bytes": 134217728,
-        "max_open_files": 1000,
-        "mem_table_size": 67108864,
-        "mem_table_stop_writes_threshold": 20,
-        "read_only": false,
-        "wal_bytes_per_sync": 0,
-        "levels": [
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 4194304
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 8388608
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 16777216
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 33554432
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 67108864
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 134217728
-          },
-          {
-            "block_restart_interval": 16,
-            "block_size": 4096,
-            "block_size_threshold": 90,
-            "compression": 2,
-            "filter_type": 0,
-            "filter_policy": 10,
-            "index_block_size": 4096,
-            "target_file_size": 268435456
-          }
-        ],
-        "max_concurrent_compactions": 5
-      }
-    }
-  }
-}
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_kit_lib/test_fio.py b/ipfs_transformers/ipfs_kit_lib/test_fio.py
deleted file mode 100644
index 69d37b1..0000000
--- a/ipfs_transformers/ipfs_kit_lib/test_fio.py
+++ /dev/null
@@ -1,124 +0,0 @@
-import os
-import sys
-import datetime
-import subprocess
-import tempfile
-import json
-import math
-import subprocess
-import tempfile
-
-class test_fio:
-    def __init__(self, resources, meta=None):
-        pass
-
-    def __call__(self, method, **kwargs):
-        if method == "test":
-            return self.test(self, **kwargs)
-
-    def disk_device_name_from_location(self, location):
-        directory_tree = location.split("/")
-
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if location in line:
-                device = line.split(" ")[0]
-                return device
-            else:
-                while directory_tree.__len__() > 1:
-                    directory_tree.pop()
-                    location = "/".join(directory_tree)
-                    for line in df:
-                        if len(directory_tree) == 1 and location == "":
-                            location = "/"
-                        if location in line:
-                            while "  " in line:
-                                line = line.replace("  ", " ")
-                            mount = line.split(" ")
-                            if mount[5] == location:
-                                device = mount[0]
-                                return device
-        return "rootfs"
-    
-    def disk_device_total_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[1]
-                return capacity
-        return None
-    
-    def disk_device_used_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[2]
-                return capacity
-        return None
-
-
-    def disk_device_avail_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[3]
-                return capacity
-        return None
-
-    def disk_speed_4k(self, location):
-        with tempfile.NamedTemporaryFile(suffix=".iso", dir=location) as temp_file:
-            timestamp_0 = datetime.datetime.now()
-            command = "dd if=/dev/zero of=" + temp_file.name + " bs=4k count=8k conv=fdatasync"
-            subprocess.check_output(command, shell=True)
-            timestamp_1 = datetime.datetime.now()
-            write_speed = 32 / (timestamp_1 - timestamp_0).total_seconds()
-            command2 = "dd if=" + temp_file.name + " of=/dev/null bs=4k"
-            subprocess.check_output(command2, shell=True)
-            timestamp_2 = datetime.datetime.now()
-            read_speed = 32 / (timestamp_2 - timestamp_1).total_seconds()
-            command3 = "rm " + temp_file.name
-            return read_speed, write_speed
-            
-    def stats(self,location, **kwargs):
-        disk_device = self.disk_device_name_from_location(location)
-        disk_capacity = self.disk_device_total_capacity(disk_device)
-        disk_used = self.disk_device_used_capacity(disk_device)
-        disk_avail = self.disk_device_avail_capacity(disk_device)
-        disk_read_speed, disk_write_speed = self.disk_speed_4k(location)
-        results = {
-            "disk_device": disk_device,
-            "disk_capacity": disk_capacity,
-            "disk_used": disk_used,
-            "disk_avail": disk_avail,
-            "disk_write_speed": disk_write_speed,
-            "disk_read_speed": disk_read_speed
-        }
-        return results
-
-#if __name__ == "__main__":
-#    this_test = test_fio(None)
-#    results = this_test.test("/tmp/")
-#    print(results)    
-#    print("Test complete")
-#    sys.exit(0)
\ No newline at end of file
diff --git a/ipfs_transformers/ipfs_transformers.py b/ipfs_transformers/ipfs_transformers.py
index 735ce75..6f1f524 100644
--- a/ipfs_transformers/ipfs_transformers.py
+++ b/ipfs_transformers/ipfs_transformers.py
@@ -1,5 +1,6 @@
 import os
-# TODO: Make template match updates from ipfs_transformers.py
+import asyncio
+
 class AutoDownloadModel():
 	def __init__(self, collection=None, meta=None):
 		if os.getuid() == 0:
@@ -49,6 +50,7 @@ def __init__(self, collection=None, meta=None):
 					self.role = meta["role"]
 				else:
 					self.role = "leecher"
+					pass
 			else:
 				self.local_path = os.path.join(os.getenv("HOME") , ".cache/huggingface/")
 				self.ipfs_path = os.path.join(os.getenv("HOME") , ".cache/ipfs/")
@@ -60,10 +62,14 @@ def __init__(self, collection=None, meta=None):
 					"s3_cfg": self.s3cfg,
 					"role": self.role
 				}
-		from model_manager import model_manager as model_manager
-		self.model_manager = model_manager(collection, meta)
+				pass
+			pass
+		
+		import ipfs_model_manager 
+		self.model_manager = ipfs_model_manager.ipfs_model_manager(resources=collection, meta=meta)
 		self.model_manager.load_collection_cache()
-		self.model_manager.state()
+		self.model_manager.load_collection()		
+		self.model_manager.state(src = 'local')
 				
 	def download(self, **kwargs):
 		# NOTE: Add kwarg for output directory where downloads are stored
@@ -72,7 +78,8 @@ def download(self, **kwargs):
 		# if "ipfs_path" in kwargs:
 		# 	self.ipfs_path = kwargs["ipfs_path"]
 		
-
+		# self.model_manager.run_once()
+		asyncio.run(self.model_manager.run_once())
 		model_name = None
 		cid = None
 		if "model_name" in kwargs:
diff --git a/ipfs_transformers/ipfs_transformers_template.py b/ipfs_transformers/ipfs_transformers_template.py
index ab35b5b..4164e59 100644
--- a/ipfs_transformers/ipfs_transformers_template.py
+++ b/ipfs_transformers/ipfs_transformers_template.py
@@ -60,7 +60,7 @@ def __init__(self, collection=None, meta=None):
 					"s3_cfg": self.s3cfg,
 					"role": self.role
 				}
-		from model_manager import model_manager as model_manager
+		from ipfs_transformers.model_manager_bak import model_manager as model_manager
 		self.model_manager = model_manager(collection, meta)
 		self.model_manager.load_collection_cache()
 		self.model_manager.state()
diff --git a/ipfs_transformers/model_manager.py b/ipfs_transformers/model_manager.py
deleted file mode 100755
index 2fb7bff..0000000
--- a/ipfs_transformers/model_manager.py
+++ /dev/null
@@ -1,1739 +0,0 @@
-#from cloudkit_worker import dispatch_result, should_abort, TaskAbortion
-import os
-import sys
-import json
-import pathlib
-import time
-import tempfile
-from s3_kit import s3_kit
-from ipfs_kit import ipfs_kit
-from ipfs_kit_lib.install_ipfs import install_ipfs as install_ipfs
-import datetime
-import hashlib
-import requests
-import shutil
-import random
-import test_fio
-import subprocess
-parent_dir = os.path.dirname(os.path.dirname(__file__))
-ipfs_lib_dir = os.path.join(parent_dir, "ipfs_kit_lib")
-sys.path.append(ipfs_lib_dir)
-sys.path.append(parent_dir)
-
-class model_manager:
-    def __init__(self, resources=None, meta=None):
-        local_path='/cloudkit_storage/'
-        self.models = {}
-        self.models["s3_models"] = []
-        self.models["ipfs_models"] = []
-        self.models["local_models"] = []
-        self.models["https_models"] = []
-        self.ipfs_collection = {}
-        self.s3_collection = {}
-        self.local_collection = {}
-        self.https_collection = {}
-        self.pinned = []
-        self.fastest = None
-        self.bandwidth = None
-        self.this_model_path = None
-        self.this_model = None
-        self.this_model_name = None
-        self.s3cfg = None
-        if meta is not None and type (meta) == dict:
-            if "s3cfg" in meta:
-                self.s3cfg = meta["s3cfg"]
-            if "ipfs_src" in meta:
-                self.ipfs_src = meta["ipfs_src"]
-            if "timing" in meta:
-                self.timing = meta["timing"]
-            if "cache" in meta:
-                self.collection_cache = meta["cache"]
-            if "history" in meta:
-                self.model_history = meta["history"]
-            if "role" in meta:
-                self.role = meta["role"]
-            if "cluster_name" in meta:
-                self.cluster_name = meta["cluster_name"]
-            if "local_path" in meta:
-                self.local_path = meta["local_path"]
-            else:
-                self.local_path = self.ipfs_path + "cloudkit-models/"
-            if "s3_cfg" in meta:
-                self.s3cfg = meta["s3_cfg"]
-            if "ipfs_path" in meta:
-                self.ipfs_path = meta["ipfs_path"]
-            else:
-                self.ipfs_path = self.local_path + "ipfs/"
-        else:
-            self.local_path = self.ipfs_path + "cloudkit-models/"
-            self.ipfs_path = "/ipfs/"
-            self.s3cfg = None
-            self.role = "leecher"
-            self.cluster_name = "cloudkit_storage"
-            self.cache = {
-                "local": "/storage/cloudkit-models/collection.json",
-                "s3": "s3://huggingface-models/collection.json",
-                "ipfs": "QmXBUkLywjKGTWNDMgxknk6FJEYu9fZaEepv3djmnEqEqD",
-                "https": "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-            }
-            meta = {
-                "local_path": self.local_path,
-                "ipfs_path": self.ipfs_path,
-                "s3_cfg": self.s3cfg,
-                "role": self.role,
-                "cluster_name": self.cluster_name,
-                "cache": self.cache,
-            }
-
-        homedir = os.path.expanduser("~")
-        homedir_files = os.listdir(homedir)
-        self.test_fio = test_fio.test_fio(None)
-        self.s3_kit = s3_kit(resources, meta = meta)
-        self.ipfs_kit = ipfs_kit(resources, meta = meta)
-        self.install_ipfs = install_ipfs(resources, meta = meta)
-        ipfs_path = self.ipfs_path
-        if not os.path.exists(self.ipfs_path):
-            os.makedirs(self.ipfs_path)
-        if not os.path.exists(self.local_path):
-            os.makedirs(self.local_path)
-        ipfs_path_files = os.listdir(ipfs_path)
-        # NOTE there is no systemctl daemon reload.
-        # NOTE: Changed or to and in this if so install only runs if there is no ipfs in any of the possible locations
-        # NOTE: make sure all instances of IPFS daemon are started either as a service or with os.system() or with process.popen()
-        if ".ipfs" not in homedir_files and "ipfs" not in ipfs_path_files and os.path.exists(ipfs_path):
-            self.install_ipfs.install_ipfs_daemon()
-            self.install_ipfs.install_ipget()
-            stats = self.test_fio.stats(self.ipfs_path)
-            self.install_ipfs.config_ipfs(
-                disk_stats = stats,
-                ipfs_path = self.ipfs_path,
-            )
-            pass
-        elif self.role == "master" and ".ipfs-cluster-service" not in homedir_files:
-            self.install_ipfs.install_ipfs_cluster_service()
-            self.install_ipfs.install_ipfs_cluster_ctl()
-            self.install_ipfs.config_ipfs_cluster_service()
-            self.install_ipfs.config_ipfs_cluster_ctl()
-            pass
-        elif self.role == "worker" and ".ipfs-cluster-follow" not in homedir_files:
-            self.install_ipfs.install_ipfs_cluster_service()
-            self.install_ipfs.install_ipfs_cluster_follow()
-            self.install_ipfs.config_ipfs_cluster_service()
-            self.install_ipfs.config_ipfs_cluster_follow()
-            pass               
-        
-        self.ipfs_kit.ipfs_kit_stop()
-        self.ipfs_kit.ipfs_kit_start()
-        execute_ready = False
-        while execute_ready != True:
-            try:
-                ready_ipfs_kit = self.ipfs_kit.ipfs_kit_ready()
-                execute_ready = ready_ipfs_kit
-            except Exception as e:
-                execute_ready = str(e)
-
-        self.models = {}
-        self.last_update = 0.1
-        self.history_models = {}
-        self.pinned_models = {}
-        self.collection = {}
-        self.collection_pins = []
-        self.zombies = {}
-        self.expired = {}
-        self.not_found = []
-        self.ipfs_pinset = {
-            "ipfs": {},
-            "ipfs_cluster": {},
-        }
-
-    def __call__(self, method, **kwargs):
-        if method == "load_collection":
-            return self.load_collection(**kwargs)
-        if method == "download_model":
-            return self.download_model(**kwargs)
-        if method == "load_collection_cache":
-            return self.load_collection_cache(**kwargs)
-        if method == "auto_download":
-            return self.auto_download(**kwargs)
-        if method == "ls_models":
-            return self.ls_models(**kwargs)
-        if method == "ls_s3_models":
-            return self.ls_s3_models(**kwargs)
-        if method == "check_local":
-            return self.check_local(**kwargs)
-        if method == "check_https":
-            return self.check_https(**kwargs)
-        if method == "check_s3":
-            return self.check_s3(**kwargs)
-        if method == "check_ipfs":
-            return self.check_ipfs(**kwargs)
-        if method == "download_https":
-            return self.download_https(**kwargs)
-        if method == "download_s3":
-            return self.download_s3(**kwargs)
-        if method == "download_ipfs":
-            return self.download_ipfs(**kwargs)
-        if method == "test":
-            return self.test(**kwargs)
-
-    def load_collection(self, **kwargs):
-        try:
-            self.https_collection = self.download_https('https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json', "/tmp/")
-            with open(self.https_collection, 'r') as f:
-                self.https_collection = json.load(f)
-        except Exception as e:
-            self.https_collection = e
-            pass
-        try:
-            with tempfile.NamedTemporaryFile(suffix=".json", dir="/tmp") as this_temp_file:
-                results = self.ipfs_kit.ipfs_get(self.ipfs_src, this_temp_file.name)
-                if results is not None and len(results) > 0:
-                    with open(this_temp_file.name, 'r') as f:
-                        self.ipfs_collection = json.load(f)
-                else:
-                    self.ipfs_collection = {
-                        "error": "no results"
-                    }
-
-        except Exception as e:
-            self.ipfs_collection = {
-                "error": str(e)
-            }
-            pass
-        try:
-            with tempfile.NamedTemporaryFile(suffix=".json", dir="/tmp") as this_temp_file:
-                self.s3_kit.s3_dl_file('collection.json', this_temp_file.name, self.s3cfg["bucket"])
-                with open(this_temp_file.name, 'r') as f:
-                    self.s3_collection = json.load(f)
-        except Exception as e:
-            self.s3_collection = e
-            pass
-        if os.path.exists(os.path.join(self.ipfs_path,"collection.json")): 
-            with open(os.path.join(self.ipfs_path,"collection.json"), 'r') as f:
-                self.local_collection = json.load(f)
-        try:
-            ipfs_stop = self.ipfs_kit.ipfs_kit_stop()
-        except Exception as e:
-            ipfs_stop = e
-        try:
-            ipfs_start = self.ipfs_kit.ipfs_kit_start()
-        except Exception as e:
-            ipfs_start = e
-
-        return {
-            "ipfs_stop": ipfs_stop,
-            "ipfs_start": ipfs_start,
-            "ipfs_collection": self.ipfs_collection,
-            "s3_collection": self.s3_collection,
-            "local_collection": self.local_collection,
-            "https_collection": self.https_collection
-        }
-       
-    def download_https(self, https_src, model_path, **kwargs):
-        suffix = "." + https_src.split("/")[-1].split(".")[-1]
-        if (os.path.exists(model_path)):
-            if os.path.isdir(model_path):
-                dst_path = os.path.join(model_path, https_src.split("/")[-1])
-                filename = https_src.split("/")[-1]
-            else:
-                filename = https_src.split("/")[-1]
-                dirname = os.path.dirname(model_path)
-                if len(filename.split(".")) < 1:
-                    dst_path = os.path.join(dirname, filename)
-                else:
-                    dst_path = os.path.join(dirname, filename)
-        else:
-            dirname = os.path.dirname(model_path)
-            filename = https_src.split("/")[-1]
-            if os.path.exists(dirname):
-                dst_path = os.path.join(dirname,filename)
-            else:
-                os.makedirs(dirname)
-                dst_path = os.path.join(dirname,filename)
-        
-        with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp", delete=False) as this_temp_file:
-            file_metadata = os.stat(this_temp_file.name)
-            tmp_filename = this_temp_file.name.split("/")[-1]
-            command =  "aria2c -x 16 "+https_src+" -d /tmp -o "+ tmp_filename +" --allow-overwrite=true "
-            os.system(command)
-            if os.path.exists(dst_path):
-                command2 = "rm " + dst_path
-                os.system(command2)
-                pass
-            if("collection.json" not in dst_path and "README.md" not in dst_path):
-                command3 = "mv /tmp/"+tmp_filename+" "+dst_path
-                os.system(command3)
-
-                if(os.path.exists(this_temp_file.name)):
-                    command4 = "rm /tmp/"+tmp_filename
-                    os.system(command4)
-
-            else:
-                command3 = "cp /tmp/"+tmp_filename+" "+dst_path
-                os.system(command3)                
-
-                if(os.path.exists(this_temp_file.name)):
-                    command4 = "rm /tmp/"+tmp_filename
-                    os.system(command4)
-
-                # NOTE there is an issue where the file is not being copied to the correct location
-                # the previous bug was that the file location was being moved twice in the autodownload and in the download function
-                # this is a placeholder, until the program can be changed to move the move function out of here and into the autodownload function or vice versa
-                # the bug was introduced when I realized that I had to move the entire subfolder, and made the change inside of the autodownload function
-
-        return dst_path
-    
-    def download_s3(self, s3_src, filename_dst, **kwargs):
-        if len (filename_dst.split(".")) > 1:
-            try:
-                #NOTE: This is creating the .md folder in the directory python is being run from. Commented it out to see if 
-                #      fixes the issue. For some reason "suffix" here is derived from basename instead of filename_dst like in the ipfs download function
-                #      TODO: Ask endo about this / test s3 download function
-
-                # basename = os.path.basename(filename_dst)
-                # dirname = os.path.dirname(filename_dst)
-                # if not os.path.exists(dirname):
-                #     os.mkdir(dirname)
-
-                # NOTE: Changed to use filename_dst instead of basename so it's the same as the ipfs download function -fregg
-                suffix = "." + filename_dst.split(".")[-1]
-                with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp", delete=False) as this_temp_file:
-                    this_file_key = s3_src.split(self.s3cfg["bucket"]+"/")[1]
-                    results = self.s3_kit.s3_dl_file(s3_src, this_temp_file.name, self.s3cfg["bucket"])
-                    if results is not None and len(results) > 0:
-                        shutil.move(results["local_path"], filename_dst)
-
-                        # NOTE: Add removal logic here -fregg
-                        if(os.path.exists(this_temp_file.name)):
-                            command = "rm "+this_temp_file.name
-                            os.system(command)
-
-                        return filename_dst
-                    else:
-                        return False
-            except Exception as e:
-                # NOTE: Add removal logic here -fregg
-                if(os.path.exists(this_temp_file.name)):
-                    command = "rm "+this_temp_file.name
-                    os.system(command)
-                return e
-        else:
-            raise Exception("Invalid filename_dst, no `.` suffix found")
-        
-    def download_ipfs(self, ipfs_src, filename_dst, **kwargs):
-        if len (filename_dst.split(".")) > 1:                
-            try:
-                #NOTE: This is creating the .md folder in the directory python is being run from. Commented it out to see if 
-                # 		i'm not sure what the basename is doing. seems like it's not used and i cant really find the logic 
-                # 		behind creating a folder for the md if it exists either. 
-
-                # basename = os.path.basename(filename_dst)
-                # if not os.path.exists(basename):
-                #     os.mkdir(basename)
-                
-                # Checks if the suffix is a valid file extension and not the cache folder Probably needs some work to handle other ipfs_path locations
-                if(".cache" not in filename_dst and "." in filename_dst ):
-                    suffix = "." + filename_dst.split(".")[-1]
-                    with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp", delete=False) as this_temp_file:
-                        results = self.ipfs_kit.ipfs_get(cid = ipfs_src, path = this_temp_file.name)
-                        if "path" in list(results.keys()):
-                            results_file_name = results["path"]
-                            shutil.move(results_file_name, filename_dst)
-                            
-                            # NOTE: Add removal logic here -fregg
-                            if(os.path.exists(this_temp_file.name)):
-                                command = "rm "+this_temp_file.name
-                                os.system(command)
-
-                            return filename_dst
-                        else:
-                            raise Exception("No path in results or timeout")                              
-                else:
-                    # Download folder
-                    with tempfile.TemporaryDirectory(dir="/tmp") as tempdir:
-                        results = self.ipfs_kit.ipfs_get(cid = ipfs_src, path = tempdir)
-                        
-                        if os.path.exists(filename_dst):
-                            pass
-                        else:
-                            os.mkdir(filename_dst)
-
-                        if filename_dst[-1] == "/":
-                            pass
-                        else:
-                            filename_dst = filename_dst + "/"
-
-                        for file in os.scandir(tempdir):
-                            if file.is_file():
-                                shutil.move(file.path, filename_dst + file.name)
-
-                    return filename_dst
-                    
-            except Exception as e:
-                print("Exception thrown remove files")
-                if(this_temp_file != None):
-                    if(os.path.exists(this_temp_file.name)):
-                        command = "rm "+this_temp_file.name
-                        os.system(command)
-                return e
-            
-        else:
-            #raise Exception("Invalid filename_dst, no `.` suffix found") 
-            pass
-
-    def download_model(self, model, **kwargs):
-        ipfs_timestamp = None
-        s3_timestamp = None
-        local_timestamp = None
-        https_timestamp = None
-
-        if type(self.ipfs_collection) == dict and "cache" in list(self.ipfs_collection.keys()):
-            if "timestamp" in self.ipfs_collection["cache"]:
-                ipfs_timestamp = self.ipfs_collection["cache"]["timestamp"]
-            if ipfs_timestamp is None:
-                ipfs_timestamp = datetime.datetime.now().timestamp()
-        if type(self.s3_collection) == dict  and "cache" in list(self.s3_collection.keys()):
-            if "timestamp" in self.s3_collection["cache"]:
-                s3_timestamp = self.s3_collection["cache"]["timestamp"]
-            if s3_timestamp is None:
-                s3_timestamp = self.s3_kit.s3_ls_file(self.collection_cache["s3"].split("/")[-1], self.collection_cache["s3"].split("/")[-2])
-                key = list(s3_timestamp.keys())[0]
-                s3_timestamp = s3_timestamp[key]["last_modified"]
-                pass
-        if type(self.local_collection) == dict and "cache" in list(self.local_collection.keys()):
-            if "timestamp" in self.local_collection["cache"]:
-                local_timestamp = self.local_collection["cache"]["timestamp"]
-            if local_timestamp is None:
-                local_timestamp = os.path.getmtime(self.collection_cache["local"])
-                pass
-        if type(self.https_collection) == dict and "cache" in list(self.https_collection.keys()):
-            if "timestamp" in self.https_collection["cache"]:
-                https_timestamp = self.https_collection["cache"]["timestamp"]
-            if https_timestamp is None:
-                https_timestamp = datetime.datetime.now().timestamp()
-
-        timestamps = {
-            "ipfs": ipfs_timestamp,
-            "s3": s3_timestamp,
-            "local": local_timestamp,
-            "https": https_timestamp
-        }
-
-        if not all(value is None for value in timestamps.values()):
-            timestamps = {k: v for k, v in timestamps.items() if v is not None}    
-            newest = max(timestamps, key=timestamps.get)
-        else:
-            raise Exception("No collection cache found")
-
-        ipfs_model_data = None
-        s3_model_data = None
-        local_model_data = None
-        https_model_data = None
-    
-        if type(self.ipfs_collection) == dict and model in self.ipfs_collection:
-            ipfs_model_data = self.ipfs_collection[model]
-        else:
-            ipfs_model_data = None
-        if type(self.s3_collection) == dict and model in self.s3_collection:
-            s3_model_data = self.s3_collection[model]
-        else:
-            s3_model_data = None
-        if type(self.local_collection) == dict and model in self.local_collection:
-            local_model_data = self.local_collection[model]
-        else:
-            local_model_data = None
-        if type(self.https_collection) == dict and model in self.https_collection:
-            https_model_data = self.https_collection[model]
-        else:
-            https_model_data = None
-
-        model_data = {
-            "ipfs": ipfs_model_data,
-            "s3": s3_model_data,
-            "local": local_model_data,
-            "https": https_model_data
-        }
-
-        if all(value is None for value in model_data.values()):
-            raise Exception("Model not found")
-        
-        this_model = None
-
-        if model_data[newest] is not None:
-
-            # NOTE: Add check for disk space before downloading  
-            if(model_data[newest]["hwRequirements"]["diskUsage"] > shutil.disk_usage("/tmp").free):
-                raise Exception("Not enough disk space to download model")
-            else:
-                this_model = self.auto_download(model_data[newest], **kwargs)
-        else:
-            while this_model is None and len(timestamps) > 0:
-                timestamps.pop(newest)
-                newest = max(timestamps, key=timestamps.get)
-            
-            if model_data[newest] is not None:
-                
-                # NOTE: Add check for disk space before downloading  
-                if(model_data[newest]["hwRequirements"]["diskUsage"] > shutil.disk_usage("/tmp").free):
-                    raise Exception("Not enough disk space to download model")
-                else:
-                    this_model = self.auto_download(model_data[newest], **kwargs)
-
-            if this_model is None:
-                raise Exception("Model not found")
-            self.models["local_models"][this_model["id"]] = datetime.datetime.now().timestamp()    
-        return this_model
-    
-    def check_local(self, manifest, **kwargs):
-        folder_data = manifest["folderData"]
-        cache = manifest["cache"]
-        local = cache["local"]
-        check_filenames = {}
-        local_files = list(local.keys())
-        local_path = self.local_path + "/" + manifest["id"] + "/"
-        for local_file in local_files:
-            this_file = local[local_file]
-            ## remove the first character if it is a "/"
-            this_file_url = this_file["url"]
-            this_file_path = this_file["path"]
-            if this_file_path[0] == "/":
-                this_local_file = this_file_path[1:]
-            else:
-                this_local_file = this_file_path
-            this_file_path = os.path.join(local_path,this_local_file)
-            if os.path.exists(this_file_path):
-                this_file_mtime = os.path.getmtime(this_file_path)
-                check_filenames[local_file] = this_file_mtime
-            else:
-                check_filenames[local_file] = False
-
-        check_filenames["/manifest.json"] = True
-        if all(check_filenames.values()):
-            del check_filenames["/manifest.json"]
-            oldest_file_timestamp = min(check_filenames.values())
-            return oldest_file_timestamp
-        else:
-            return False
-
-    def check_https(self, manifest, **kwargs):
-        folder_data = manifest["folderData"]
-        cache = manifest["cache"]
-        https = cache["https"]
-        https_files = list(https.keys())
-        check_filenames = {}
-        for https_file in https_files:
-            this_https_file = https[https_file]
-            if "url" in list(this_https_file.keys()) and https_file != "/manifest.json":
-                this_https_url = this_https_file["url"]
-                try:
-                    results = requests.head(this_https_url)
-                    if results.status_code == 200 or results.status_code == 302:
-                        check_filenames[https_file] = datetime.datetime.now().timestamp()
-                    else:
-                        check_filenames[https_file] = False
-                except Exception as e:
-                    check_filenames[https_file] = False
-                    pass
-            else:
-                check_filenames[https_file] = False
-
-        check_filenames["/manifest.json"] = True
-        if all(check_filenames.values()):
-            return datetime.datetime.now().timestamp()
-        else:
-            return False
-        
-    def check_s3(self, manifest, **kwargs):
-        folder_data = manifest["folderData"]
-        files = list(folder_data.keys())
-        cache = manifest["cache"]
-        s3 = cache["s3"]
-        s3_files = list(s3.keys())
-        check_filenames = {}
-        if s3_files != None:
-            for s3_file in s3_files:
-                this_s3_cache = s3[s3_file]
-                this_s3_path = this_s3_cache["path"]
-                this_s3_url = this_s3_cache["url"]
-                if "s3://" in this_s3_url:
-                    this_s3_split = this_s3_url.split("/")
-                    this_s3_bucket = this_s3_split[2]
-                    this_s3_key = this_s3_split[3:]
-                    this_s3_key = "/".join(this_s3_key)
-                elif this_s3_url[0] == "/":
-                    this_s3_split = this_s3_path.split("/")
-                    this_s3_bucket = this_s3_split[2]
-                    this_s3_key = this_s3_split[3:]
-                    this_s3_key = "/".join(this_s3_key)
-                    
-            try:
-                results = self.s3_kit.s3_ls_file(this_s3_key , this_s3_bucket)
-                if results is not None and results is not False and len(results) > 0:
-                    results_keys = list(results.keys())
-                    filename = results_keys[0]
-                    file_metadata = results[filename]
-                    mtime = file_metadata["last_modified"]                    
-                    check_filenames[s3_file] = mtime 
-                else:
-                    check_filenames[s3_file] = False
-            except Exception as e:
-                check_filenames[s3_file] = e
-                pass
-
-        check_filenames["/manifest.json"] = True
-        if all(check_filenames.values()):
-            del check_filenames["/manifest.json"]
-            oldest_file_timestamp = min(check_filenames.values())
-            return oldest_file_timestamp
-        else:
-            return False
-    
-    def check_ipfs(self, manifest, **kwargs):
-        folder_data = manifest["folderData"]
-        cache = manifest["cache"]
-        ipfs = cache["ipfs"]
-        ipfs_files = list(ipfs.keys())
-        check_filenames = {}
-        ipfs_pinset = list(self.ipfs_pinset["ipfs"].keys())
-        for ipfs_file in ipfs_files:
-            this_ipfs_cache = ipfs[ipfs_file]
-            if "path" in list(this_ipfs_cache.keys()) and ipfs_file != "/manifest.json":
-                this_ipfs_cid = this_ipfs_cache["path"]
-                try:
-                    if this_ipfs_cid in ipfs_pinset:
-                        check_filenames[ipfs_file] = datetime.datetime.now().timestamp()
-                    else:
-                        check_filenames[ipfs_file] = False
-                except Exception as e:
-                    check_filenames[ipfs_file] = False
-                    pass
-            else:
-                check_filenames[ipfs_file] = False    
-
-        check_filenames["/manifest.json"] = True
-        if all(check_filenames.values()):
-            return datetime.datetime.now().timestamp()
-        else:
-            return False
-
-    def load_collection_cache(self, **kwargs):
-        if "cache" in kwargs:
-            cache = kwargs["cache"]
-        else:
-            cache = {
-                "local": "/storage/cloudkit-models/collection.json",
-                "s3": "s3://cloudkit-beta/collection.json",
-                "ipfs": "QmXBUkLywjKGTWNDMgxknk6FJEYu9fZaEepv3djmnEqEqD",
-                "https": "https://huggingface.co/endomorphosis/cloudkit-collection/resolve/main/collection.json"
-            }
-        timestamp_0 = time.time()
-        if os.path.exists(cache["local"]):
-            with open(cache["local"], 'r') as f:
-                collection = json.load(f)
-                self.local_collection = collection
-        try:
-            https_download = self.download_https(cache["https"], '/tmp/collection.json')
-            if os.path.exists("./collection.json/collection.json"):
-                shutil.move("./collection.json/collection.json", "/tmp/collection.json")
-                shutil.rmtree("./collection.json")
-            if os.path.exists(https_download):
-                with open(https_download, 'r') as f:
-                    this_collection = json.load(f)
-                    self.https_collection = this_collection
-            elif os.path.exists('/tmp/collection.json'):
-                with open('/tmp/collection.json', 'r') as f:
-                    this_collection = json.load(f)
-                    self.https_collection = this_collection
-        except Exception as e:
-            print(e)
-            pass
-        timestamp_1 = time.time()
-        try:
-            ipfs_download = self.download_ipfs(cache["ipfs"], '/tmp/collection.json')
-            with open(ipfs_download, 'r') as f:
-                this_collection = json.load(f)
-                self.ipfs_collection = this_collection
-        except Exception as e:
-            ipfs_download = None
-            print(e)
-            pass
-        timestamp_2 = time.time()
-        try:
-            s3_download = self.download_s3(cache["s3"], '/tmp/collection.json')
-            with open(s3_download, 'r') as f:
-                this_collection = json.load(f)
-                self.s3_collection = this_collection
-        except Exception as e:
-            s3_download = None
-            print(e)
-            pass
-        timestamp_3 = time.time()
-
-        timestamps = {
-            "https": timestamp_1 - timestamp_0,
-            "ipfs": timestamp_2 - timestamp_1,
-            "s3": timestamp_3 - timestamp_2
-        }
-
-        fastest = min(timestamps, key=timestamps.get)
-        self.fastest = fastest
-        file_size = os.stat('/tmp/collection.json').st_size
-        bandwidth = file_size / timestamps[fastest]
-        self.bandwidth = bandwidth
-
-        md5_local = hashlib.md5(json.dumps(self.local_collection).encode()).hexdigest()
-        md5_ipfs = hashlib.md5(json.dumps(self.ipfs_collection).encode()).hexdigest()
-        md5_s3 = hashlib.md5(json.dumps(self.s3_collection).encode()).hexdigest()
-        md5_https = hashlib.md5(json.dumps(self.https_collection).encode()).hexdigest()
-        if md5_local == md5_ipfs and md5_local == md5_s3 and md5_local == md5_https:
-            if fastest == "ipfs" and len(list(self.ipfs_collection.keys())) > 0:
-                self.collection = self.ipfs_collection
-            elif fastest == "s3" and len(list(self.s3_collection.keys())) > 0:
-                self.collection = self.s3_collection
-            elif fastest == "https" and len(list(self.https_collection.keys())) > 0:
-                self.collection = self.https_collection
-            elif fastest == "local" and len(list(self.local_collection.keys())) > 0:
-                self.collection = self.local_collection
-            elif len(list(self.local_collection.keys())) > 0:
-                self.collection = self.local_collection
-            else:
-                raise Exception("No collection found")
-        if "cache" in list(self.local_collection.keys()):
-            local_collection_cache = self.local_collection["cache"]
-        else:
-            local_collection_cache = {}
-        if "cache" in list(self.ipfs_collection.keys()):
-            ipfs_collection_cache = self.ipfs_collection["cache"]
-        else:
-            ipfs_collection_cache = {}
-        if "cache" in list(self.s3_collection.keys()):
-            s3_collection_cache = self.s3_collection["cache"]
-        else:
-            s3_collection_cache = {}
-        if "cache" in list(self.https_collection.keys()):
-            https_collection_cache = self.https_collection["cache"]
-        else:
-            https_collection_cache = {}
-
-        if "timestamp" in local_collection_cache or "timestamp" in ipfs_collection_cache  or "timestamp" in s3_collection_cache or "timestamp" in https_collection_cache:
-            modified = {}
-            if "timestamp" in local_collection_cache:
-                local_timestamp = local_collection_cache["timestamp"]
-                modified["local"] = local_timestamp
-            if "timestamp" in ipfs_collection_cache:
-                ipfs_timestamp = ipfs_collection_cache["timestamp"]
-                modified["ipfs"] = ipfs_timestamp
-            if "timestamp" in s3_collection_cache:
-                s3_timestamp = s3_collection_cache["timestamp"]
-                modified["s3"] = s3_timestamp
-            if "timestamp" in https_collection_cache:
-                https_timestamp = https_collection_cache["timestamp"]
-                modified["https"] = https_timestamp
-            
-            newest = max(modified, key=modified.get)
-            object_name = newest + "_collection"
-            self.collection = self.__dict__[object_name]
-        else:
-            sizes = {}
-            sizes["local"] = len(json.dumps(self.local_collection))
-            sizes["ipfs"] = len(json.dumps(self.ipfs_collection))
-            sizes["s3"] = len(json.dumps(self.s3_collection))
-            sizes["https"] = len(json.dumps(self.https_collection))
-            largest = max(sizes, key=sizes.get)
-            object_name = largest + "_collection"
-            self.collection = self.__dict__[object_name]
-        if os.path.exists(cache["local"]):
-            with open(cache["local"], 'r') as f:
-                collection = json.load(f)
-                self.local_collection = collection
-        return self.collection 
-
-    def auto_download(self, manifest, **kwargs):
-        ls_models = self.ls_models()
-        this_model_manifest = manifest
-        self.history_models[this_model_manifest["id"]] = datetime.datetime.now().timestamp()
-        this_model_manifest_cache = this_model_manifest["cache"]
-        this_model_manifest_folder_data = this_model_manifest["folderData"]
-        s3_test = False
-        ipfs_test = False
-        https_test = False
-        local_test = False
-        try:
-            if os.path.exists(this_model_manifest_cache["local"]["/README.md"]["path"]):
-                local_test = True
-                basename = os.path.basename(this_model_manifest_cache["local"]["/README.md"]["path"])
-                for file in this_model_manifest_folder_data:
-                    if file not in os.listdir(basename):
-                        local_test = False
-                        break
-        except Exception as e:
-            local_test = False
-            pass
-        timestamp_0 = datetime.datetime.now().timestamp()
-        try:
-            ipfs_test = False
-            with tempfile.NamedTemporaryFile(suffix=".md", dir="/tmp") as this_temp_file:
-                if "/README.md" in list(this_model_manifest_cache["ipfs"].keys()):
-                    ipfs_test_file = self.download_ipfs(this_model_manifest_cache["ipfs"]["/README.md"]["path"], this_temp_file.name)
-                    with open(ipfs_test_file, 'r') as f:
-                        ipfs_test = f.read()
-                    if len(ipfs_test) > 0:
-                        ipfs_test = True
-                    else:
-                        ipfs_test = False
-        except Exception as e:
-            ipfs_test = e
-            pass       
-        timestamp_1 = datetime.datetime.now().timestamp()
-        try:
-            with tempfile.NamedTemporaryFile(suffix=".md", dir="/tmp") as this_temp_file:
-                if "/README.md" in list(this_model_manifest_cache["s3"].keys()):
-                    if "s3://" in this_model_manifest_cache["s3"]["/README.md"]["url"]:
-                        s3_test = self.download_s3(this_model_manifest_cache["s3"]["/README.md"]["url"], this_temp_file.name)
-                    else:
-                        s3_test = self.download_s3(this_model_manifest_cache["s3"]["/README.md"]["path"], this_temp_file.name)
-                    s3_test = str(s3_test)
-                    if "error" not in s3_test:
-                        with open(this_temp_file.name, 'r') as f:
-                            s3_test = f.read()
-                        if len(s3_test) > 0:
-                            s3_test = True
-                        else:
-                            s3_test = False
-                    else:
-                        s3_test = False
-        except Exception as e:
-            s3_test = e
-            pass
-        timestamp_2 = datetime.datetime.now().timestamp()
-        try:
-            with tempfile.NamedTemporaryFile(suffix=".md", dir="/tmp") as this_temp_file:
-                if "/README.md" in list(this_model_manifest_cache["https"].keys()):
-                    https_url = this_model_manifest_cache["https"]["/README.md"]["url"]
-                    https_test_file = self.download_https(https_url, this_temp_file.name)
-                    with open(https_test_file, 'r') as f:
-                        https_test = f.read()
-                    if len(https_test) > 0:
-                        https_test = True
-                    else:
-                        https_test = False
-        except Exception as e:
-            https_test = e
-            pass
-        timestamp_3 = datetime.datetime.now().timestamp()
-
-        timestamps = {
-            "ipfs": timestamp_1 - timestamp_0,
-            "s3": timestamp_2 - timestamp_1,
-            "https": timestamp_3 - timestamp_2,
-            "local": 0
-        }
-        test = {
-            "ipfs": ipfs_test,
-            "s3": s3_test,
-            "https": https_test,
-            "local": local_test
-        }
-        download_src = None
-        fastest = min(timestamps, key=timestamps.get)
-        while test[fastest] == False or test[fastest] != True:
-            timestamps.pop(fastest)
-            fastest = min(timestamps, key=timestamps.get)
-        if test[fastest] == True:
-            download_src = fastest
-        else:
-            download_src = None
-            pass
-        if download_src is None:
-            raise Exception("Model not found")
-        else:
-            file_list = this_model_manifest_folder_data.keys()
-            file_success = {}
-            for file in file_list:
-                if not file.startswith("/"):
-                    file = "/" + file
-                if "." not in file:
-                    os.makedirs("/tmp/"+file, exist_ok=True)
-                    suffix = None
-                else:
-                    suffix = "." + file.split(".")[-1]
-                    pass
-                this_download_src = download_src
-                this_file_size = this_model_manifest_folder_data[file]["size"]
-                if "md5" in list(this_model_manifest_folder_data[file].keys()):
-                    this_file_md5 = this_model_manifest_folder_data[file]["md5"]
-                else:
-                    this_file_md5 = None
-                    
-                this_tmp_file = os.path.join("/tmp/", "/".join(file.split("/")[1:]))
-                this_local_file = os.path.join(os.path.join( self.local_path , this_model_manifest["id"]), this_model_manifest_cache["local"][file]["path"][1:])
-                this_local_file_size = None
-                this_local_file_md5 = None
-                if os.path.exists(this_local_file):
-                    this_local_file_size = os.stat(this_local_file).st_size
-                    this_local_file_md5 = subprocess.run(["md5sum", this_local_file], capture_output=True)
-                    this_local_file_md5 = this_local_file_md5.stdout.decode().split(" ")[0]
-
-                    pass
-                if ((file == "/README.md" or file == "/manifest.json") or (this_file_size == this_local_file_size or this_file_size == None) and (this_file_md5 == this_local_file_md5 or this_file_md5 == None)):
-                    file_success[file] = True
-                    pass
-                else:
-                    if this_download_src == "ipfs":
-                        this_file_path = this_model_manifest_cache["ipfs"][file]["path"]
-                        this_file_url = this_model_manifest_cache["ipfs"][file]["url"]
-                        with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp") as this_temp_file:
-                            ipfs_download_file = self.download_ipfs(this_file_path, this_temp_file.name)
-                            if ipfs_download_file != None and len(ipfs_download_file) > 0:
-                                ipfs_download_size = os.stat( this_temp_file.name).st_size
-                                ipfs_download_md5 = subprocess.run(["md5sum",  this_temp_file.name], capture_output=True)
-                                ipfs_download_md5 = ipfs_download_md5.stdout.decode().split(" ")[0]
-                                if ipfs_download_size != this_file_size:
-                                    file_success[file] = "file size mismatch"
-                                    this_download_src = "s3"
-                                else:
-                                    file_success[file] = True
-                                if this_file_md5 != ipfs_download_md5:
-                                    file_success[file] = "md5 mismatch"
-                                    this_download_src = "s3"
-                                    #raise Exception("MD5 mismatch")
-                                    pass
-                                if(os.path.exists(ipfs_download_file) and https_download_file != this_tmp_file):
-                                    command = "mv " + ipfs_download_file + " " + this_tmp_file
-                                    os.system(command)
-                                    pass
-                                elif(os.path.exists(this_temp_file.name) and not os.path.exists(this_tmp_file)):
-                                    command = "mv " + this_temp_file.name + " " + this_tmp_file
-                                    os.system(command)
-                                    pass
-                                else:
-                                    pass
-                            else:
-                                this_download_src = "s3"
-                                pass
-                    if this_download_src == "s3":
-                        this_file_path = this_model_manifest_cache["s3"][file]["path"]
-                        this_file_url = this_model_manifest_cache["s3"][file]["url"]
-                        with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp") as this_temp_file:
-                            s3_download_file = self.download_s3(this_file_path, this_temp_file.name)
-                            s3_download_size = os.stat( this_temp_file.name).st_size
-                            s3_download_md5 = subprocess.run(["md5sum",  this_temp_file.name], capture_output=True)
-                            s3_download_md5 = s3_download_md5.stdout.decode().split(" ")[0]
-                            if s3_download_file != None and len(s3_download_file) > 0:
-
-                                if s3_download_size != this_file_size:
-                                    file_success[file] = "file size mismatch"
-                                    this_download_src = "https"
-                                else:
-                                    file_success[file] = True
-                                if this_file_md5 != s3_download_md5:
-                                    file_success[file] = "md5 mismatch"
-                                    this_download_src = "https"
-                                    #raise Exception("MD5 mismatch")
-                                    pass
-
-                                if(os.path.exists(s3_download_file) and s3_download_file != this_tmp_file):
-                                    command = "mv " + s3_download_file + " " + this_tmp_file
-                                    os.system(command)
-                                    pass
-                                elif(os.path.exists(this_temp_file.name) and not os.path.exists(this_tmp_file)):
-                                    command = "mv " + this_temp_file.name + " " + this_tmp_file
-                                    os.system(command)
-                                    pass
-                                else:
-                                    pass
-                            else:
-                                this_download_src = "https"
-                                pass
-                    if this_download_src == "https" and file != "manifest.json":
-                        this_file_path = this_model_manifest_cache["https"][file]["path"]
-                        this_file_url = this_model_manifest_cache["https"][file]["url"]
-                        with tempfile.NamedTemporaryFile(suffix=suffix, dir="/tmp") as this_temp_file:
-                            https_download_file = self.download_https(this_file_url, this_temp_file.name)
-                            https_download_size = os.stat(this_temp_file.name).st_size
-                            https_download_md5 = subprocess.run(["md5sum", this_temp_file.name], capture_output=True)
-                            https_download_md5 = https_download_md5.stdout.decode().split(" ")[0]
-                            if https_download_size != this_file_size:
-                                file_success[file] = "file size mismatch"
-                            else:
-                                file_success[file] = True
-                            if this_file_md5 != https_download_md5:
-                                file_success[file] = "md5 mismatch"
-                                #raise Exception("MD5 mismatch")
-                                pass
-                            if(os.path.exists(https_download_file) and https_download_file != this_tmp_file):
-                                command = "mv " + https_download_file + " " + this_tmp_file
-                                os.system(command)
-                                pass
-                            elif(os.path.exists(this_temp_file.name) and not os.path.exists(this_tmp_file)):
-                                command = "mv " + this_temp_file.name + " " + this_tmp_file
-                                os.system(command)
-                                pass
-                            else:
-                                pass
-                    elif this_download_src == "https" and file == "manifest.json":
-                        file_success[file] = True
-                        with open(this_tmp_file, 'w') as f:
-                            json.dump(this_model_manifest, f)
-            
-            #check that every key in file_success is True
-            if all(file_success.values()):
-                if not os.path.exists(os.path.join(self.local_path, this_model_manifest["id"])):
-                    os.makedirs(os.path.join(self.local_path , this_model_manifest["id"]), exist_ok=True)
-                for file in file_list:
-                    if file.startswith("/"):
-                        file = file[1:]
-                    src_path = os.path.join("/tmp/", file)
-                    dst_path = os.path.join(os.path.join(self.local_path, this_model_manifest["id"]), file)
-                    this_tmp_file = os.path.join("/tmp/", file)
-                    if not os.path.exists(os.path.dirname(dst_path)):
-                        os.makedirs(os.path.dirname(dst_path))
-                    if not os.path.exists(dst_path) and os.path.exists(src_path):
-                        if os.path.isdir(src_path):
-                            shutil.copytree(src_path, os.path.dirname(dst_path))
-                            shutil.rmtree(src_path)
-                        else:
-                            shutil.move(src_path, dst_path)
-                    pass
-                return this_model_manifest
-            else:
-                raise Exception("Model not found")
-        
-    def ls_models(self, **kwargs):
-        collection_sources = {}
-        ipfs_timestamp = None
-        s3_timestamp = None
-        local_timestamp = None
-        https_timestamp = None
-        ipfs_keys = []
-        s3_keys = []
-        local_keys = []
-        https_keys = []
-        if self.ipfs_collection != None and type(self.s3_collection) == dict:
-            ipfs_keys = list(self.ipfs_collection.keys())
-        if self.s3_collection != None and type(self.s3_collection) == dict:
-            s3_keys = list(self.s3_collection.keys())
-        if self.local_collection != None and type(self.s3_collection) == dict:
-            local_keys = list(self.local_collection.keys())
-        if self.https_collection != None and type(self.s3_collection) == dict:
-            https_keys = list(self.https_collection.keys())
-        all_keys = ipfs_keys + s3_keys + local_keys + https_keys
-        all_keys = list(set(all_keys))
-        ## filter the list all_keys to remove "cache" and "error"
-        if "cache" in all_keys:
-            all_keys.remove("cache")
-        if "error" in all_keys:
-            all_keys.remove("error")
-        return all_keys
-        
-    def ls_s3_models(self, **kwargs):
-        ls_models = self.ls_models()
-        s3_models = {}
-        timestamps = {}
-        if type(self.ipfs_collection) == dict and "cache" in self.ipfs_collection :
-            if "timestamp" in self.ipfs_collection["cache"]:
-                ipfs_timestamp = self.ipfs_collection["cache"]["timestamp"]
-                timestamps["ipfs"] = ipfs_timestamp
-        if type(self.s3_collection) == dict and "cache" in self.s3_collection:
-            if "timestamp" in self.s3_collection["cache"]:
-                s3_timestamp = self.s3_collection["cache"]["timestamp"]
-                timestamps["s3"] = s3_timestamp
-        if type(self.local_collection) == dict and "cache" in self.local_collection:
-            if "timestamp" in self.local_collection["cache"]:
-                local_timestamp = self.local_collection["cache"]["timestamp"]
-                timestamps["local"] = local_timestamp
-        if type(self.https_collection) == dict and "cache" in self.https_collection:
-            if "timestamp" in self.https_collection["cache"]:
-                https_timestamp = self.https_collection["cache"]["timestamp"]
-                timestamps["https"] = https_timestamp
-
-        if len(timestamps.keys()) != 0:
-            newest = max(timestamps, key=timestamps.get)
-            if newest == "local":
-                this_collection = self.local_collection
-            elif newest == "s3":
-                this_collection = self.s3_collection
-            elif newest == "ipfs":
-                this_collection = self.ipfs_collection
-            elif newest == "https":
-                this_collection = self.https_collection
-        else:
-            if "error" not in self.local_collection:
-                this_collection = self.local_collection
-            elif "error" not in self.s3_collection:
-                this_collection = self.s3_collection
-            elif "error" not in self.https_collection:
-                this_collection = self.https_collection
-            elif "error" not in self.ipfs_collection:
-                this_collection = self.ipfs_collection
-
-        for model in ls_models:
-            if model in this_collection and model != "cache" and model != "error":
-                this_folder_data = this_collection[model]["folderData"]
-                results = self.check_s3(this_collection[model])
-                if results != None and results is not False:
-                    s3_models[model] = results
-                    pass
-            elif model in self.local_collection and model != "cache" and model != "error":
-                this_folder_data = self.local_collection[model]["folderData"]
-                results = self.check_s3(self.local_collection[model])
-                if results != None and results is not False:
-                    s3_models[model] = results
-            elif model in self.s3_collection and model != "cache" and model != "error":
-                this_folder_data = self.s3_collection[model]["folderData"]
-                results = self.check_s3(self.s3_collection[model])
-                if results != None and results is not False:
-                    s3_models[model] = results
-            elif model in self.ipfs_collection and model != "cache" and model != "error":
-                this_folder_data = self.ipfs_collection[model]["folderData"]
-                if self.check_s3(self.ipfs_collection[model]):
-                    s3_models[model] = results
-            elif model in self.https_collection and model != "cache" and model != "error":
-                this_folder_data = self.https_collection[model]["folderData"]
-                results = self.check_s3(self.https_collection[model])
-                if results != None and results is not False:
-                    s3_models[model] = results
-                else:
-                    pass
-
-        self.s3_models = s3_models
-        return s3_models  
-
-    def ls_https_models(self, **kwargs):
-        ls_models = self.ls_models()
-        https_models = {}
-        timestamps = {}
-
-        if type(self.ipfs_collection) == dict and "cache" in self.ipfs_collection :
-            if "timestamp" in self.ipfs_collection["cache"]:
-                ipfs_timestamp = self.ipfs_collection["cache"]["timestamp"]
-                timestamps["ipfs"] = ipfs_timestamp
-        if type(self.s3_collection) == dict and "cache" in self.s3_collection:
-            if "timestamp" in self.s3_collection["cache"]:
-                s3_timestamp = self.s3_collection["cache"]["timestamp"]
-                timestamps["s3"] = s3_timestamp
-        if type(self.local_collection) == dict and "cache" in self.local_collection:
-            if "timestamp" in self.local_collection["cache"]:
-                local_timestamp = self.local_collection["cache"]["timestamp"]
-                timestamps["local"] = local_timestamp
-        if type(self.https_collection) == dict and "cache" in self.https_collection:
-            if "timestamp" in self.https_collection["cache"]:
-                https_timestamp = self.https_collection["cache"]["timestamp"]
-                timestamps["https"] = https_timestamp
-
-        if len(timestamps.keys()) != 0:
-            newest = max(timestamps, key=timestamps.get)
-            if newest == "local":
-                this_collection = self.local_collection
-            elif newest == "s3":
-                this_collection = self.s3_collection
-            elif newest == "ipfs":
-                this_collection = self.ipfs_collection
-            elif newest == "https":
-                this_collection = self.https_collection
-        else:
-            if "error" not in self.local_collection:
-                this_collection = self.local_collection
-            elif "error" not in self.s3_collection:
-                this_collection = self.s3_collection
-            elif "error" not in self.https_collection:
-                this_collection = self.https_collection
-            elif "error" not in self.ipfs_collection:
-                this_collection = self.ipfs_collection
-
-        for model in ls_models:
-            if model in this_collection and model != "cache" and model != "error":
-                this_folder_data = this_collection[model]["folderData"]
-                results = self.check_https(this_collection[model])
-                if results != None and results is not False:
-                    https_models[model] = results
-                else:
-                    pass
-            elif model in self.local_collection and model != "cache" and model != "error":
-                this_folder_data = self.local_collection[model]["folderData"]
-                results = self.check_https(self.local_collection[model])
-                if results != None and results is not False:
-                    https_models[model] = results
-                else:
-                    pass
-            elif model in self.s3_collection and model != "cache" and model != "error":
-                this_folder_data = self.s3_collection[model]["folderData"]
-                results = self.check_https(self.s3_collection[model])
-                if results != None and results is not False:
-                    https_models[model] = results
-                else:
-                    pass
-            elif model in self.ipfs_collection and model != "cache" and model != "error":
-                this_folder_data = self.s3_collection[model]["folderData"]
-                results = self.check_https(self.ipfs_collection[model])
-                if results != None and results is not False:
-                    https_models[model] = results
-                else:
-                    pass
-            elif model in self.https_collection and model != "cache" and model != "error":
-                this_folder_data = self.https_collection[model]["folderData"]
-                results = self.check_https(self.https_collection[model])
-                if results != None and results is not False:
-                    https_models[model] = results
-                else:
-                    pass
-
-        self.https_models = https_models
-        return https_models  
-
-            
-    def ls_ipfs_models(self, **kwargs):
-        ls_models = self.ls_models()
-        ipfs_models = {}
-        timestamps = {}
-        if type(self.ipfs_collection) == dict and "cache" in self.ipfs_collection:
-            if "timestamp" in self.ipfs_collection["cache"]:
-                ipfs_timestamp = self.ipfs_collection["cache"]["timestamp"]
-                timestamps["ipfs"] = ipfs_timestamp
-        if type(self.s3_collection) == dict and "cache" in self.s3_collection:
-            if "timestamp" in self.s3_collection["cache"]:
-                s3_timestamp = self.s3_collection["cache"]["timestamp"]
-                timestamps["s3"] = s3_timestamp
-        if type(self.local_collection) == dict and "cache" in self.local_collection:
-            if "timestamp" in self.local_collection["cache"]:
-                local_timestamp = self.local_collection["cache"]["timestamp"]
-                timestamps["local"] = local_timestamp
-        if type(self.https_collection) == dict and "cache" in self.https_collection:
-            if "timestamp" in self.https_collection["cache"]:
-                https_timestamp = self.https_collection["cache"]["timestamp"]
-                timestamps["https"] = https_timestamp
-
-        if len(timestamps.keys()) != 0:
-            newest = max(timestamps, key=timestamps.get)
-            if newest == "local":
-                this_collection = self.local_collection
-            elif newest == "s3":
-                this_collection = self.s3_collection
-            elif newest == "ipfs":
-                this_collection = self.ipfs_collection
-            elif newest == "https":
-                this_collection = self.https_collection
-        else:
-            if "error" not in self.local_collection:
-                this_collection = self.local_collection
-            elif "error" not in self.s3_collection:
-                this_collection = self.s3_collection
-            elif "error" not in self.https_collection:
-                this_collection = self.https_collection
-            elif "error" not in self.ipfs_collection:
-                this_collection = self.ipfs_collection
-
-
-        for model in ls_models:
-            if model in list(this_collection.keys()) and model != "cache" and model != "error":
-                this_folder_data = this_collection[model]["folderData"]
-                results = self.check_ipfs(this_collection[model])
-                if results is not None and results is not False:
-                    ipfs_models[model] = results
-                else:
-                    pass
-            elif model in list(self.local_collection.keys()) and model != "cache" and model != "error":
-                this_folder_data = self.local_collection[model]["folderData"]
-                results = self.check_ipfs(self.local_collection[model])
-                if results is not None and results is not False:
-                    ipfs_models[model] = results
-                else:
-                    pass
-            elif model in list(self.s3_collection.keys()) and model != "cache" and model != "error":
-                this_folder_data = self.s3_collection[model]["folderData"]
-                results = self.check_ipfs(self.s3_collection[model])
-                if results is not None and results is not False:
-                    ipfs_models[model] = results
-                else:
-                    pass
-            elif model in list(self.ipfs_collection.keys()) and model != "cache" and model != "error":
-                this_folder_data = self.ipfs_collection[model]["folderData"]
-                results = self.check_ipfs(self.ipfs_collection[model])
-                if results is not None and results is not False:
-                    ipfs_models[model] = results
-                else:
-                    pass
-            elif model in list(self.https_collection.keys()) and model != "cache" and model != "error":
-                this_folder_data = self.https_collection[model]["folderData"]
-                results = self.check_ipfs(self.https_collection[model])
-                if results is not None and results is not False:
-                    ipfs_models[model] = results
-                else:
-                    pass
-
-        self.ipfs_models = ipfs_models
-        return ipfs_models  
-            
-
-    def ls_local_models(self, **kwargs):
-        ls_models = self.ls_models()
-        local_models = {}
-        timestamps = {}
-
-        if type(self.ipfs_collection) == dict and "cache" in self.ipfs_collection :
-            if "timestamp" in self.ipfs_collection["cache"]:
-                ipfs_timestamp = self.ipfs_collection["cache"]["timestamp"]
-                timestamps["ipfs"] = ipfs_timestamp
-        if type(self.s3_collection) == dict and "cache" in self.s3_collection:
-            if "timestamp" in self.s3_collection["cache"]:
-                s3_timestamp = self.s3_collection["cache"]["timestamp"]
-                timestamps["s3"] = s3_timestamp
-        if type(self.local_collection) == dict and "cache" in self.local_collection:
-            if "timestamp" in self.local_collection["cache"]:
-                local_timestamp = self.local_collection["cache"]["timestamp"]
-                timestamps["local"] = local_timestamp
-        if type(self.https_collection) == dict and "cache" in self.https_collection:
-            if "timestamp" in self.https_collection["cache"]:
-                https_timestamp = self.https_collection["cache"]["timestamp"]
-                timestamps["https"] = https_timestamp
-
-        if len(timestamps.keys()) != 0:
-            newest = max(timestamps, key=timestamps.get)
-            if newest == "local":
-                this_collection = self.local_collection
-            elif newest == "s3":
-                this_collection = self.s3_collection
-            elif newest == "ipfs":
-                this_collection = self.ipfs_collection
-            elif newest == "https":
-                this_collection = self.https_collection
-        else:
-            if "error" not in self.local_collection:
-                this_collection = self.local_collection
-            elif "error" not in self.s3_collection:
-                this_collection = self.s3_collection
-            elif "error" not in self.https_collection:
-                this_collection = self.https_collection
-            elif "error" not in self.ipfs_collection:
-                this_collection = self.ipfs_collection
-
-        for model in ls_models:
-            if model in this_collection and model != "cache" and model != "error":
-                this_folder_data = this_collection[model]["folderData"]
-                results = self.check_local(this_collection[model])
-                if results is not None and results is not False:
-                    local_models[model] = results
-                    pass
-            elif model in self.local_collection and model != "cache" and model != "error":
-                this_folder_data = self.local_collection[model]["folderData"]
-                results = self.check_local(self.local_collection[model])
-                if results is not None and results is not False:
-                    local_models[model] = results
-                    pass
-            elif model in self.s3_collection and model != "cache" and model != "error":
-                this_folder_data = self.s3_collection[model]["folderData"]
-                results = self.check_local(self.s3_collection[model])
-                if results is not None and results is not False:
-                    local_models[model] = results
-                    pass
-            elif model in self.ipfs_collection and model != "cache" and model != "error":
-                this_folder_data = self.ipfs_collection[model]["folderData"]
-                results = self.check_local(self.ipfs_collection[model])
-                if results is not None and results is not False:
-                    local_models[model] = results
-                    pass
-            elif model in self.https_collection and model != "cache" and model != "error":
-                this_folder_data = self.https_collection[model]["folderData"]
-                results = self.check_local(self.https_collection[model])
-                if results is not None and results is not False:
-                    local_models[model] = results
-                    pass
-
-        self.local_models = local_models
-        return local_models  
-        
-    def state(self, **kwargs):
-        timestamp = datetime.datetime.now()
-        one_hour_ago = timestamp - datetime.timedelta(hours=1)
-        one_day_ago = timestamp - datetime.timedelta(days=1)
-        ten_days_ago = timestamp - datetime.timedelta(days=100)
-        timestamp = datetime.datetime.timestamp(timestamp)
-        one_hour_ago = datetime.datetime.timestamp(one_hour_ago)
-        one_day_ago = datetime.datetime.timestamp(one_day_ago)
-        ten_days_ago = datetime.datetime.timestamp(ten_days_ago) 
-        try:
-            if os.path.exists(os.path.join(self.ipfs_path,"state.json")):
-                state_mtime = os.path.getmtime(os.path.join(self.ipfs_path,"state.json"))
-                if state_mtime > one_day_ago:
-                    self.last_update = state_mtime
-                    with open(os.path.join(self.ipfs_path,"state.json"), 'r') as f:
-                        self.models = json.load(f)
-                        self.last_update = timestamp
-            else: 
-                command = "touch " + os.path.join(self.ipfs_path,"state.json")
-                os.system(command)
-
-        except Exception as e:
-            self.models = {}
-            pass
-        
-        if "src" in kwargs:
-            src = kwargs["src"]
-        else:
-            src = "all"
-        if src != "all":
-            if src == "s3":
-                self.models["s3_models"] = self.ls_s3_models()
-            elif src == "ipfs":
-                self.ipfs_pinset = self.ipfs_kit.ipfs_get_pinset()
-                self.models["ipfs_models"] = self.ls_ipfs_models()
-            elif src == "local":
-                self.models["local_models"] = self.ls_local_models()
-            elif src == "https":
-                self.models["https_models"] = self.ls_https_models()
-        else:                    
-            if self.last_update < ten_days_ago:
-                self.load_collection()
-                self.models["s3_models"] = self.ls_s3_models()
-                self.models["ipfs_models"] = self.ls_ipfs_models()
-                self.models["local_models"] = self.ls_local_models()
-                self.models["https_models"] = self.ls_https_models()
-                self.ipfs_pinset = self.ipfs_kit.ipfs_get_pinset()
-                #del self.models["s3Models"]
-                #del self.models["ipfsModels"]
-                #del self.models["localModels"]
-                #del self.models["httpsModels"]
-                self.last_update = timestamp
-
-        if "s3Models" in list(self.models.keys()):
-            self.models["s3_models"] = self.models["s3Models"]
-            del self.models["s3Models"]
-        if "ipfsModels" in list(self.models.keys()):
-            self.models["ipfs_models"] = self.models["ipfsModels"]
-            del self.models["ipfsModels"]
-        if "httpsModels" in list(self.models.keys()):
-            self.models["https_models"] = self.models["httpsModels"]
-            del self.models["httpsModels"]
-        if "localModels" in list(self.models.keys()):
-            self.models["local_models"] = self.models["localModels"]
-            del self.models["localModels"]
-
-
-        for model in self.collection:
-            if model != "cache":
-                this_model = self.collection[model]
-                cache = this_model["cache"]
-                if "ipfs" in list(cache.keys()):
-                    ipfs = cache["ipfs"]
-                    for file in ipfs:
-                        this_file = ipfs[file]
-                        if "path" in list(this_file.keys()):
-                            path = this_file["path"]
-                            if path not in self.collection_pins:
-                                if path in list(self.ipfs_pinset["ipfs"].keys()):
-                                    pin_type = self.ipfs_pinset["ipfs"][path]
-                                    if pin_type != "indirect":
-                                        self.collection_pins.append(path)
-
-
-        stringified_models = json.dumps(self.models)
-        models_md5 = hashlib.md5(stringified_models.encode()).hexdigest()
-        try:
-            with open (os.path.join(self.ipfs_path,"state.json"), 'r' ) as f:
-                state_json = json.load(f)
-                state_json_md5 = hashlib.md5(json.dumps(state_json).encode).hexdigest()
-                       
-        except Exception as e:
-            ## cannot read state.json
-            with open (os.path.join(self.ipfs_path,"state.json"), 'w') as f:
-                json.dump(self.models, f)
-            with open (os.path.join(self.ipfs_path,"state.json"), 'r' ) as f:
-                state_json_md5 = hashlib.md5(f.read().encode()).hexdigest()
-            pass
-
-        if models_md5 != state_json_md5:
-            with open (os.path.join(self.ipfs_path,"state.json"), 'w') as f:
-                json.dump(self.models, f)
-
-        return self.models
-
-    def evict_local(self, model, **kwargs):
-        local_model_path = os.path.join(self.local_path, model)
-        if os.path.exists(local_model_path):
-            shutil.rmtree(local_model_path)
-        return True
-    
-    def evict_s3(self, model, **kwargs):
-        s3_model_path = self.collection[model]["cache"]["s3"]
-        s3_model_path = s3_model_path[0]["url"]
-        s3_model_path = s3_model_path.split("/")
-        s3_model_bucket = s3_model_path[2:3][0]
-        s3_model_dir = s3_model_path[3:4][0]
-        results = self.s3_kit.s3_rm_dir(s3_model_dir, s3_model_bucket)
-        return results
-
-    def evict_models(self, **kwargs):
-        ls_models = self.ls_models()
-        history = self.history()
-        current_timestamp = datetime.datetime.now().timestamp()
-        for model in ls_models:
-            if model in self.models["local_models"]:
-                this_model_timestamp = self.models["local_models"][model]
-                this_history_timestamp = datetime.datetime.timestamp(history[model]).timestamp()
-                if current_timestamp - this_model_timestamp > self.timing["local_time"] and current_timestamp - this_history_timestamp > self.timing["local_time"]:
-                    self.evict_local(model)
-                    self.models["local_models"].pop(model)
-
-            elif model in self.models["s3_models"]:
-                this_model_timestamp = self.models["s3_models"][model]
-                this_history_timestamp = datetime.datetime.timestamp(history[model]).timestamp()
-                if current_timestamp - this_model_timestamp > self.timing["s3_time"] and current_timestamp - this_history_timestamp > self.timing["s3_time"]:
-                    self.evict_s3(model)
-                    self.models["s3_models"].pop(model)
-        
-        for model in self.models["local_models"]:
-            if model not in ls_models:
-                self.evict_local(model)
-                self.models["local_models"].pop(model)
-
-        for model in self.models["s3_models"]:
-            if model not in ls_models:
-                self.evict_s3(model)
-                self.models["s3_models"].pop(model)
-
-        results =  {
-            "s3_models": self.models["s3_models"] ,
-            "ipfs_models": self.models["ipfs_models"],
-            "local_models": self.models["local_models"],
-            "https_models": self.models["https_models"]
-        }
-        return results 
-    
-    def check_history_models(self, **kwargs):
-        ls_models = self.ls_models()
-        current_timestamp = datetime.datetime.now()
-        current_timestamp = datetime.datetime.timestamp(current_timestamp)
-        if len(self.history_models.keys()) == 0:
-            if os.path.exists(os.path.join(self.ipfs_path,"history.json")):
-                try:
-                    with open(os.path.join(self.ipfs_path,"history.json"), 'r') as f:
-                        self.history_models = json.load(f)
-                except Exception as e:
-                    with open(os.path.join(self.ipfs_path,"history.json"), 'w') as f:
-                        json.dump({}, f)
-                finally:
-                    pass
-            
-        for model in ls_models:
-            if model not in self.history_models.keys():
-                self.history_models[model] = None
-            
-            if self.history_models[model] is not None:
-                this_model_timestamp = datetime.datetime.timestamp(self.history[model])
-                if current_timestamp - this_model_timestamp > 60:
-                    self.history_models[model] = None
-
-        for model in self.history_models:
-            if model not in ls_models:
-                self.history_models.pop(model)
-
-        if os.path.exists(os.path.join(self.ipfs_path,"history.json")):
-            history_json_mtime = os.path.getmtime(os.path.join(self.ipfs_path,"history.json"))    
-            if current_timestamp - history_json_mtime > 60:
-                with open(os.path.join(self.ipfs_path,"history.json"), 'w') as f:
-                    json.dump(self.history_models, f)
-        else:
-            with open(os.path.join(self.ipfs_path,"history.json"), 'w') as f:
-                json.dump(self.history_models, f)
-
-        return self.history_models
-    
-    def check_zombies(self, **kwargs):
-        ls_models = self.ls_models()
-        local_files = os.walk(self.local_path)
-        ls_local_files = []
-        ipfs_files = []
-        local_files = list(local_files)
-        for root, dirs, files in local_files:
-            for file in files:
-                tmp_filename = root + "/" + file
-                tmp_filename = tmp_filename.split("/")
-                tmp_filename = "/".join(tmp_filename[3:])
-                #tmp_filename = os.path.join(root, file).replace(self.local_path, "")
-                split_tmp_filename = tmp_filename.split("/")
-                if len(split_tmp_filename) > 1 and "ipfs" not in tmp_filename and "cloudkit" not in tmp_filename:
-                    ls_local_files.append(tmp_filename)
-
-        collection_files = []
-        zombies = {}
-
-        collection_files.append("collection.json")
-        for model in self.collection:
-            if model != "cache":
-                this_model = self.collection[model]
-                this_folder_name = this_model["id"]
-                this_folder_data = this_model["folderData"]
-                for file in this_folder_data:
-                    collection_files.append(this_folder_name + file)
-
-        s3_files = self.s3_kit.s3_ls_dir("",self.s3cfg["bucket"])
-
-        s3_file_names = []
-        for file in s3_files:
-            s3_file_names.append(file["key"])
-        
-        ipfs_files = self.ipfs_kit.ipfs_ls_path("/")
-        ipfs_file_names = []
-        for file in ipfs_files["ipfs_ls_path"]:
-            ipfs_file_names.append(file["name"])
-
-        collection_pins = self.collection_pins
-        
-
-        compare_s3_files = [x for x in s3_file_names if x not in collection_files]
-        zombies["s3"] = compare_s3_files
-        compare_local_files = [x for x in ls_local_files if x not in collection_files]
-        zombies["local"] = compare_local_files
-        compare_ipfs_files = [x for x in ipfs_file_names if x not in collection_files]
-        compare_ipfs_pins = [x for x in collection_pins if x not in self.ipfs_pinset]
-        zombies["ipfs"] = compare_ipfs_pins
-        zombies["ipfs_files"] = compare_ipfs_files
-        self.zombies = zombies
-        return zombies
-    
-    def rand_history(self, **kwargs):
-        history = self.history_models
-        two_weeks_ago = datetime.datetime.now() - datetime.timedelta(days=14)
-        two_weeks_ago = datetime.datetime.timestamp(two_weeks_ago)
-        two_days_ago = datetime.datetime.now() - datetime.timedelta(days=2)
-        two_days_ago = datetime.datetime.timestamp(two_days_ago)
-        now = datetime.datetime.now().timestamp()
-        for model in list(history.keys()):
-            random_float = random.random()
-            random_timestamp = ((now - two_weeks_ago) * random_float) + two_weeks_ago
-            history[model] = random_timestamp
-
-        self.history_models = history
-        return history
-    
-    def check_expired(self, **kwargs):
-        ls_models = self.ls_models()
-        current_timestamp = datetime.datetime.now().timestamp()
-        expired = {
-            "local" : [],
-            "s3" : [],
-            "ipfs": [],
-        }
-
-        for model in ls_models:
-            if "local_models" in self.models:            
-                if model in self.models["local_models"]:
-                    this_model_timestamp = self.models["local_models"][model]
-                    if current_timestamp - this_model_timestamp > self.timing["local_time"] and current_timestamp - self.history_models[model] > self.timing["local_time"]:
-                        expired["local"].append(model)
-            if "s3Models" in self.models:
-                if model in self.models["s3Models"]:
-                    this_model_timestamp = self.models["s3Models"][model]
-                    if current_timestamp - this_model_timestamp > self.timing["s3_time"] and current_timestamp - self.history_models[model] > self.timing["s3_time"]:
-                        expired["s3"].append(model)
-            if "s3_models" in self.models:
-                if model in self.models["s3_models"]:
-                    this_model_timestamp = self.models["s3_models"][model]
-                    if current_timestamp - this_model_timestamp > self.timing["s3_time"] and current_timestamp - self.history_models[model] > self.timing["s3_time"]:
-                        expired["s3"].append(model)
-
-        self.expired = expired
-        return self.expired
-    
-    def check_pinned_models(self, **kwargs):
-        ls_models = self.ls_models()
-
-        while len(self.pinned_models.keys()) < 5:
-            random_number = random.random()
-            calculate = round(random_number * len(ls_models))
-            if calculate < len(ls_models):
-                chosen_model = ls_models[calculate]
-                self.pinned_models[chosen_model] = datetime.datetime.now().timestamp()
-        ## remove later and get data from orchestrator
- 
-        return self.pinned
-    
-    def check_not_found(self, **kwargs):
-        ls_models = self.ls_models()
-        not_found = {
-            "local" : [],
-            "s3" : [],
-        }
-        
-        for model in list(self.history_models.keys()):
-            current_time = datetime.datetime.now().timestamp()
-            time_delta = current_time - self.history_models[model]
-            if time_delta < self.timing["local_time"]:
-                if "local_models" in list(self.models.keys()):
-                    if model not in list(self.models["local_models"].keys()):
-                        not_found["local"].append(model)
-
-                if "s3_models" in list(self.models.keys()):
-                    if model not in list(self.models["s3_models"].keys()):
-                        not_found["s3"].append(model)
-
-        for model in self.pinned_models:
-            if "local_models" in list(self.models.keys()):
-                if model not in list(self.models["local_models"].keys()):
-                    not_found["local"].append(model)
-            
-            if "s3_models" in list(self.models.keys()):
-                if model not in list(self.models["s3_models"].keys()):
-                    not_found["s3"].append(model)
-
-        self.not_found = not_found
-        return self.not_found
-    
-    def download_missing(self, **kwargs):
-        current_timestamp = datetime.datetime.now().timestamp()
-        not_found = self.check_not_found()
-        for model in not_found["local"]:
-            if model in self.pinned_models:
-                self.download_model(model)
-                self.models["local_models"][model] = datetime.datetime.now().timestamp()    
-            elif self.history_models[model] > current_timestamp - self.timing["local_time"]:
-                self.download_model(model)
-                self.models["local_models"][model] = datetime.datetime.now().timestamp()    
-        for model in not_found["s3"]:
-            if model in self.pinned_models:
-                self.s3_kit.s3_ul_dir(self.local_path + "/" + model, self.s3cfg["bucket"], self.models["s3_models"][model]["folderData"])
-                self.models["s3_models"][model] = datetime.datetime.now().timestamp()
-            elif self.history_models[model] > current_timestamp - self.timing["s3_time"]:
-                self.s3_kit.s3_ul_dir(self.local_path + "/" + model, self.s3cfg["bucket"], self.models["s3_models"][model]["folderData"])
-                self.models["s3_models"][model] = datetime.datetime.now().timestamp()
-        return None
-
-    def evict_expired_models(self, **kwargs):
-        current_timestamp = datetime.datetime.now().timestamp() 
-        expired = self.expired
-        for model in expired["local"]:
-            self.evict_local(model)
-            self.models["local_models"].pop(model)
-        for model in expired["s3"]:
-            self.evict_s3(model)
-            self.models["s3_models"].pop(model)
-        return None
-
-    def evict_zombies(self, **kwargs):
-        zombies = self.zombies
-        for file in zombies["local"]:
-            os.remove(os.path.join(self.local_path, file))
-        for file in zombies["s3"]:
-            self.s3_kit.s3_rm_file(file, self.s3cfg["bucket"])
-        return None
-
-    def test(self, **kwargs):
-        self.load_collection_cache()
-        self.state()
-        #self.state(src = "s3")
-        self.state(src = "local")
-        #self.state(src = "ipfs")
-        #self.state(src = "https")
-        self.check_pinned_models()
-        self.check_history_models()
-        self.rand_history()
-        self.check_zombies()
-        self.check_expired()
-        self.check_not_found()
-        #self.download_model('gte-small')
-        #self.download_model('stablelm-zephyr-3b-GGUF-Q2_K')
-        self.download_missing()
-        self.evict_expired_models()
-        self.evict_zombies()
-        return self
-    
\ No newline at end of file
diff --git a/ipfs_transformers/orbit_kit.py b/ipfs_transformers/orbit_kit.py
deleted file mode 100644
index ab0bf27..0000000
--- a/ipfs_transformers/orbit_kit.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import os
-import sys
-import subprocess as process 
-sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
-from ipfs_transformers.orbit_kit import orbit_kit
-class orbit_kit:
-    def __init__(self, resources, meta=None):
-        self.resources = resources
-        self.meta = meta
-
-    def start_orbitdb(self):
-        start_orbitdb = process.Popen(['orbitdb', 'start'], stdout=process.PIPE, stderr=process.PIPE)
-        pass
-
-    def stop_orbitdb(self):
-        stop_orbitdb = process.Popen(['orbitdb', 'stop'], stdout=process.PIPE, stderr=process.PIPE)
-        pass
-    
-    def get_resources(self):
-        return self.resources
-    
-if __name__ == '__main__':
-    resources = {}
-    meta = {}
-    orbit_kit = orbit_kit(resources, meta)
-    print(orbit_kit.get_resources())
-
diff --git a/ipfs_transformers/orbit_kit_lib/orbitv3-slave-swarm.js b/ipfs_transformers/orbit_kit_lib/orbitv3-slave-swarm.js
deleted file mode 100644
index 5ea273f..0000000
--- a/ipfs_transformers/orbit_kit_lib/orbitv3-slave-swarm.js
+++ /dev/null
@@ -1,352 +0,0 @@
-import {createOrbitDB, Identities, OrbitDBAccessController} from '@orbitdb/core'
-import {createHelia} from 'helia'
-import {EventEmitter} from "events";
-import {createLibp2p} from 'libp2p'
-import {identify} from '@libp2p/identify'
-import {gossipsub} from '@chainsafe/libp2p-gossipsub'
-import {bitswap} from '@helia/block-brokers'
-import {tcp} from '@libp2p/tcp'
-import {mdns} from '@libp2p/mdns'
-import {LevelBlockstore} from 'blockstore-level'
-import { LevelDatastore } from "datastore-level";
-import { createRequire } from "module";
-import { WebSocketServer } from 'ws'
-import { noise } from '@chainsafe/libp2p-noise'
-import { yamux } from '@chainsafe/libp2p-yamux'
-import { bootstrap } from '@libp2p/bootstrap'
-import { floodsub } from '@libp2p/floodsub'
-import { mplex } from '@libp2p/mplex'
-import { kadDHT, removePublicAddressesMapper } from '@libp2p/kad-dht'
-import { peerIdFromString } from '@libp2p/peer-id'
-import { pubsubPeerDiscovery } from '@libp2p/pubsub-peer-discovery'
-import { WebSocket } from 'ws';
-import { webSockets } from '@libp2p/websockets';
-import { webRTC } from '@libp2p/webrtc';
-import { circuitRelayTransport } from '@libp2p/circuit-relay-v2'
-import { all } from '@libp2p/websockets/filters'
-
-const require = createRequire(import.meta.url);
-let bootstrappers = [
-    '/ip4/104.131.131.82/tcp/4001/p2p/QmaCpDMGvV2BGHeYERUEnRQAwe3N8SzbUtfsmvsqQLuvuJ',
-    '/dnsaddr/bootstrap.libp2p.io/p2p/QmNnooDu7bfjPFoTZYxMNLWUQJyrVwtbZg5gBMjTezGAJN',
-    '/dnsaddr/bootstrap.libp2p.io/p2p/QmbLHAnMoJPWSCR5Zhtx6BHJX9KiKNN6tpvbUcqanj75Nb',
-    '/dnsaddr/bootstrap.libp2p.io/p2p/QmZa1sAxajnQjVM8WjWXoMbmPd7NsWhfKsPkErzpm9wGkp',
-    '/dnsaddr/bootstrap.libp2p.io/p2p/QmQCU2EcMqAqQPR2i9bChDtGNJchTbq5TbXJJ16u19uLTa',
-    '/dnsaddr/bootstrap.libp2p.io/p2p/QmcZf59bWwK5XFi76CZX8cbJ4BhTzzA3gU1ZjYZcYW3dwt'
-]
-const ipfsLibp2pOptions = {
-    addresses: {
-        listen: ['/ip4/0.0.0.0/tcp/0']
-    },
-    transports: [
-        tcp(),
-        webSockets({
-            // filter: all
-        }),
-        webRTC(),
-        circuitRelayTransport({
-            discoverRelays: 1
-        })
-    ],
-    streamMuxers: [
-        yamux(),
-        mplex()
-    ],
-    connectionEncryption: [
-        noise()
-    ],
-    peerDiscovery: [
-        mdns({
-            interval: 20e3
-        }),
-        pubsubPeerDiscovery({
-            interval: 1000
-        }),
-        bootstrap({
-            list: bootstrappers
-        })
-    ],
-    services: {
-        lanDHT: kadDHT({
-            protocol: '/ipfs/lan/kad/1.0.0',
-            peerInfoMapper: removePublicAddressesMapper,
-            clientMode: false
-        }),
-        pubsub:
-            gossipsub({
-                allowPublishToZeroPeers: true
-            }),
-        identify: identify(),
-    },
-    connectionManager: {
-
-    }
-}
-if (bootstrappers.length > 0) {
-    ipfsLibp2pOptions.peerDiscovery.push(bootstrap({
-        list: bootstrappers
-    }))
-}
-
-EventEmitter.defaultMaxListeners = 64;
-
-let ipfs
-let orbitdb
-let db
-
-async function run(options) {
-    process.env.LIBP2P_FORCE_PNET = "1"
-    const argv = require('minimist')(process.argv.slice(2))
-    let ipAddress
-    let dbAddress
-    let index
-    let chunkSize
-    let swarmName
-    let port
-    if (!argv.ipAddress && !Object.keys(options).includes('ipAddress')) {
-        ipAddress = "127.0.0.1"
-    } else if (Object.keys(options).includes('ipAddress')){
-        ipAddress = options.ipAddress
-    }
-    else if (argv.ipAddress) {
-        ipAddress = argv.ipAddress
-    }
-    
-    if (!argv.swarmName && !options.swarmName) {
-        console.error('Please provide a swarm Name');
-        process.exit(1);
-    }
-    else if (Object.keys(options).includes('swarmName')) {
-        swarmName = options.swarmName
-    }
-    else if (argv.swarmName) {
-        swarmName = argv.swarmName
-    }
-    
-    if (!argv.port && !Object.keys(options).includes('port')) {
-        console.error('Please provide a port number');
-        process.exit(1);
-    }else if (Object.keys(options).includes('port')) {
-        port = options.port
-    }else if (argv.port) {
-        port = argv.port
-    }
-
-    if (!argv.chunkSize && !Object.keys(options).includes('chunkSize')) {
-        console.error('Please provide a chunk size');
-        process.exit(1);
-    }else if (Object.keys(options).includes('chunkSize')) {
-        chunkSize = options.chunkSize
-    }else if (argv.chunkSize) {
-        chunkSize = argv.chunkSize
-    }
-
-    if (!argv.index && !Object.keys(options).includes('index')) {
-        console.error('Please provide an index');
-        process.exit(1);
-    }
-    else if (Object.keys(options).includes('index')) {
-        index = options.index
-    }
-    else if (argv.index) {
-        index = argv.index
-    }
-    process.on('SIGTERM', handleTerminationSignal);
-    process.on('SIGINT', handleTerminationSignal);
-    console.info('Script is running. Press CTRL+C to terminate.');
-    const id =  index
-    const libp2p = await createLibp2p({  addresses: {
-        //listen: [`/ip4/${ipAddress}/tcp/0`]
-        listen: ['/ip4/0.0.0.0/tcp/0']
-        }, ...ipfsLibp2pOptions})
-    const blockstore = new LevelBlockstore(`./ipfs/`+id+`/blocks`)
-    const datastore = new LevelDatastore(`./ipfs/`+id+`/datastore`);
-    ipfs = await createHelia({blockstore: blockstore, libp2p: libp2p, datastore: datastore, blockBrokers: [bitswap()]})
-    const identities = await Identities({ ipfs, path: `./orbitdb/`+id+`/identities` })
-    const identity = identities.createIdentity({ id })
-    ipfs.libp2p.addEventListener("peer:connect", event => {
-        console.log('connected', event.detail)
-    })
-    orbitdb = await createOrbitDB({ipfs: ipfs, identities, id: id, directory: `./orbitdb/`+id})
-
-    db = await orbitdb.open(swarmName+"-"+index+"-of-"+chunkSize,
-        {type: 'documents',
-            AccessController: OrbitDBAccessController({ write: ["*"], sync: false}),
-        })
-    let oldHeads = await db.log.heads()
-    console.debug(`${new Date().toISOString()} initial heads ${JSON.stringify(Array.from(oldHeads, h => h.payload))}`)
-    await new Promise(r => setTimeout(r, 5000));
-    await db.close()
-    console.debug(`${new Date().toISOString()} opening db for sync`)
-    db = await orbitdb.open(swarmName+"-"+index+"-of-"+chunkSize,
-        {type: 'documents',
-            AccessController: OrbitDBAccessController({ write: ["*"]}),
-        })
-    db.events.on('join', async (peerId, heads) => {
-        for await (let entry of heads) {
-            console.info(`peer ${peerId} joined with head ${JSON.stringify(entry.payload)}`)
-        }
-        if (oldHeads) {
-            for (let hash of Array.from(oldHeads, h => h.hash)) {
-                let it = db.log.iterator({gt: hash})
-                for await (let entry of it) {
-                    console.debug(`new startup entry ${JSON.stringify(entry.payload)}`)
-                    oldHeads = [entry]
-                }
-            }
-        }
-    })
-    console.info(`${new Date().toISOString()}running with db address ${db.address}`)
-    const wss = new WebSocketServer({ port: port })
-    wss.on('connection', (ws) => {
-        console.log('New WebSocket connection');
-        ws.on('message', (message) => {
-            message = JSON.parse(message.toString());
-            console.log('Received message:', message);
-            let method = Object.keys(message)[0];
-            let data = message[method];
-            // Handle WebSocket messages here
-            switch (method) {
-                case 'insert':
-                    // Handle insert logic
-                    let insertKey = data._id;
-                    let insertValue = data.content;
-                    console.log('Inserting data: ', insertKey, insertValue);
-                    validate(insertValue).then((result) => {
-                        if (result) {
-                            db.put(data).then(() => {
-                                console.log('Data inserted:', data);
-                                ws.send('Data inserted');
-                            }).catch((error) => {
-                                console.error('Error inserting data:', error);
-                                ws.send('Error inserting data');
-                            });
-                        }
-                        else{
-                            console.error('Data validation failed:', insertValue);
-                            ws.send('Data validation failed');
-                        }
-                    });
-                    break;
-                case 'update':
-                    // Handle update logic
-                    let updateKey = data._id;
-                    let updateValue = data.content;
-                    let updatedDoc = {_id: updateKey, content: updateValue};
-                    let docToUpdate = db.get(updateKey).then((doc) => {
-                        validate(updatedDoc).then((result) => {
-                            db.put(updatedDoc).then(() => {
-                                console.log('Data updated:', data);
-                                ws.send('Data updates');
-                            }).catch((error) => {
-                                console.error('Error updating data:', error);
-                                ws.send('Error updating data');
-                            });
-                        }).catch((error) => {
-                            console.error('Error updating data:', error);
-                            ws.send('Error updating data');
-                        })
-                    }).catch((error) => {
-                        console.error('Error upfating document:', error);
-                        ws.send('Error updating document');
-                    });
-                    break;
-                case 'select':
-                    // Handle select logic
-                    let selectID = data._id;
-                    let docToSelect = db.get(selectID).then((doc) => {
-                        console.log('Selected document:', doc);
-                        ws.send(JSON.stringify(doc));
-                    }).catch((error) => {
-                        console.error('Error selecting document:', error);
-                        ws.send('Error selecting document');
-                    })
-                    break;
-                case 'delete':
-                    // Handle delete by ID logic
-                    let deleteId = data._id;
-                    let docToDelete = db.get(deleteId).then((doc) => {
-                        db.del(deleteId).then((deletedDoc) => {
-                            console.log('Document deleted:', deletedDoc);
-                            ws.send('Document deleted');
-                        }).catch((error) => {
-                            console.error('Error deleting document:', error);
-                            ws.send('Error deleting document');
-                        });
-                    }).catch((error) => {
-                        console.error('Error deleting document:', error);
-                        ws.send('Error deleting document');
-                    });
-                    break;
-                default:
-                    console.log('Unknown message:', message);
-                    break;
-            }
-        });
-    });
-    try {
-        let ingest_port = port - 20000
-        const wss2 = new WebSocketServer({ port: ingest_port })
-
-        console.info(`${new Date().toISOString()} getting updates ...`)
-        db.events.on('update', async (entry) => {
-            console.debug(`new head entry op ${entry.payload.op} with value ${JSON.stringify(entry.payload.value)}`)
-            if (oldHeads) {
-                for (let hash of Array.from(oldHeads, h => h.hash)) {
-                    let it = db.log.iterator({gt: hash, lte: entry.hash})
-                    for await (let entry of it) {
-                        console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-                        oldHeads = [entry]
-                        wss2.send(JSON.stringify({ "ingest" : entry.payload }))
-                    }
-                }
-            } else {
-                let it = db.log.iterator({lte: entry.hash})
-                for await (let entry of it) {
-                    console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-                    oldHeads = [entry]
-                    wss2.send(JSON.stringify({ "ingest" : entry.payload }))
-                }
-            }
-        })
-        console.info(`${new Date().toISOString()} searching result: `)
-        let result = await db.query(data => {
-            return data.content === "content 5000"
-        })
-        console.info(`${new Date().toISOString()} result: `, JSON.stringify(result))
-    }
-    catch (error) {
-        console.log('Error connecting to ingest server:', error);
-    }
-    finally {
-        console.log('Connected to ingest server');
-    }
-}
-async function handleTerminationSignal() {
-    console.info('received termination signal, cleaning up and exiting...');
-    await db.close()
-    await orbitdb.stop()
-    await ipfs.stop()
-    process.exit();
-}
-
-async function test() {
-    let ipAddress = "127.0.0.1"
-    let orbitdbAddress = undefined
-    let index = 1
-    let chunkSize = 8  
-    let swarmName = "caselaw"
-    let port = 50001
-
-    let test = {
-        ipAddress: ipAddress,
-        orbitdbAddress: orbitdbAddress,
-        index: index,
-        chunkSize: chunkSize,
-        swarmName: swarmName,
-        port: port
-    }
-    return await run(test)
-}
-
-await run({})
\ No newline at end of file
diff --git a/ipfs_transformers/orbit_kit_lib/orbitv3-slave.js b/ipfs_transformers/orbit_kit_lib/orbitv3-slave.js
deleted file mode 100644
index a4cbaa9..0000000
--- a/ipfs_transformers/orbit_kit_lib/orbitv3-slave.js
+++ /dev/null
@@ -1,227 +0,0 @@
-import {createOrbitDB, Identities, OrbitDBAccessController} from '@orbitdb/core'
-import {createHelia} from 'helia'
-import {EventEmitter} from "events";
-import {createLibp2p} from 'libp2p'
-import {identify} from '@libp2p/identify'
-import {noise} from '@chainsafe/libp2p-noise'
-import {yamux} from '@chainsafe/libp2p-yamux'
-import {gossipsub} from '@chainsafe/libp2p-gossipsub'
-import {bitswap} from '@helia/block-brokers'
-import {tcp} from '@libp2p/tcp'
-import {mdns} from '@libp2p/mdns'
-import {LevelBlockstore} from 'blockstore-level'
-import {createRequire} from "module";
-import { WebSocketServer } from 'ws'
-
-const require = createRequire(import.meta.url);
-
-const ipfsLibp2pOptions = {
-  transports: [
-    tcp(),
-  ],
-  streamMuxers: [
-    yamux()
-  ],
-  connectionEncryption: [
-    noise()
-  ],
-  peerDiscovery: [
-    mdns({
-      interval: 20e3
-    })
-  ],
-  services: {
-    pubsub: gossipsub({
-      allowPublishToZeroPeers: true
-    }),
-    identify: identify()
-  },
-  connectionManager: {
-  }
-}
-
-EventEmitter.defaultMaxListeners = 20;
-
-let ipfs
-let orbitdb
-let db
-
-async function run () {
-  const argv = require('minimist')(process.argv.slice(2))
-  let ipAddress
-  let dbAddress
-  if (!argv.ipAddress) {
-      ipAddress = "127.0.0.1"
-  } else {
-      ipAddress = argv.ipAddress
-  }
-  if (!argv.dbAddress) {
-      dbAddress = "/orbitdb/zdpuB31L6gJz49erikZSQT3A1erJbid8oUTBrjLtBwjjXe3R5"
-  }
-  else {
-      dbAddress = argv.dbAddress
-  }
-  process.on('SIGTERM', handleTerminationSignal);
-  process.on('SIGINT', handleTerminationSignal);
-  console.info('Script is running. Press CTRL+C to terminate.');
-
-  const libp2p = await createLibp2p({  addresses: {
-      listen: [`/ip4/${ipAddress}/tcp/0`]
-    }, ...ipfsLibp2pOptions})
-  const blockstore = new LevelBlockstore(`./ipfs/2/blocks`)
-  ipfs = await createHelia({blockstore: blockstore, libp2p: libp2p, blockBrokers: [bitswap()]})
-  const identities = await Identities({ ipfs, path: `./orbitdb/2/identities` })
-  const id = "2"
-  const identity = identities.createIdentity({ id })
-  orbitdb = await createOrbitDB({ipfs: ipfs, identities, id: `2`, directory: `./orbitdb/2`})
-
-  db = await orbitdb.open(dbAddress,
-      {type: 'documents',
-        AccessController: OrbitDBAccessController({ write: ["*"], sync: false}),
-      })
-  let oldHeads = await db.log.heads()
-  console.debug(`${new Date().toISOString()} initial heads ${JSON.stringify(Array.from(oldHeads, h => h.payload))}`)
-  await new Promise(r => setTimeout(r, 5000));
-  await db.close()
-  console.debug(`${new Date().toISOString()} opening db for sync`)
-  db = await orbitdb.open(dbAddress,
-      {type: 'documents',
-        AccessController: OrbitDBAccessController({ write: ["*"]}),
-      })
-  db.events.on('join', async (peerId, heads) => {
-    for await (let entry of heads) {
-      console.info(`peer ${peerId} joined with head ${JSON.stringify(entry.payload)}`)
-    }
-    if (oldHeads) {
-      for (let hash of Array.from(oldHeads, h => h.hash)) {
-        let it = db.log.iterator({gt: hash})
-        for await (let entry of it) {
-          console.debug(`new startup entry ${JSON.stringify(entry.payload)}`)
-          oldHeads = [entry]
-        }
-      }
-    }
-  })
-  console.info(`${new Date().toISOString()}running with db address ${db.address}`)
-  const wss = new WebSocketServer({ port: 8888 })
-    wss.on('connection', (ws) => {
-        console.log('New WebSocket connection');
-        ws.on('message', (message) => {
-            message = JSON.parse(message.toString());
-            console.log('Received message:', message);
-            let method = Object.keys(message)[0];
-            let data = message[method];
-            // Handle WebSocket messages here
-            switch (method) {
-                case 'insert':
-                    // Handle insert logic
-                    let insertKey = data._id;
-                    let insertValue = data.content;
-                    console.log('Inserting data: ', insertKey, insertValue);
-                    validate(insertValue).then((result) => {
-                        if (result) {
-                            db.put(data).then(() => {
-                                console.log('Data inserted:', data);
-                                ws.send('Data inserted');
-                            }).catch((error) => {
-                                console.error('Error inserting data:', error);
-                                ws.send('Error inserting data');
-                            });
-                        }
-                        else{
-                            console.error('Data validation failed:', insertValue);
-                            ws.send('Data validation failed');
-                        }
-                    });
-                    break;
-                case 'update':
-                    // Handle update logic
-                    let updateKey = data._id;
-                    let updateValue = data.content;
-                    let updatedDoc = {_id: updateKey, content: updateValue};
-                    let docToUpdate = db.get(updateKey).then((doc) => {
-                        validate(updatedDoc).then((result) => {
-                            db.put(updatedDoc).then(() => {
-                                console.log('Data updated:', data);
-                                ws.send('Data updates');
-                            }).catch((error) => {
-                                console.error('Error updating data:', error);
-                                ws.send('Error updating data');
-                            });
-                        }).catch((error) => {
-                            console.error('Error updating data:', error);
-                            ws.send('Error updating data');
-                        })
-                    }).catch((error) => {
-                        console.error('Error upfating document:', error);
-                        ws.send('Error updating document');
-                    });
-                    break;
-                case 'select':
-                    // Handle select logic
-                    let selectID = data._id;
-                    let docToSelect = db.get(selectID).then((doc) => {
-                        console.log('Selected document:', doc);
-                        ws.send(JSON.stringify(doc));
-                    }).catch((error) => {
-                        console.error('Error selecting document:', error);
-                        ws.send('Error selecting document');
-                    })
-                    break;
-                case 'delete':
-                    // Handle delete by ID logic
-                    let deleteId = data._id;
-                    let docToDelete = db.get(deleteId).then((doc) => {
-                        db.del(deleteId).then((deletedDoc) => {
-                            console.log('Document deleted:', deletedDoc);
-                            ws.send('Document deleted');
-                        }).catch((error) => {
-                            console.error('Error deleting document:', error);
-                            ws.send('Error deleting document');
-                        });
-                    }).catch((error) => {
-                        console.error('Error deleting document:', error);
-                        ws.send('Error deleting document');
-                    });
-                    break;
-                default:
-                    console.log('Unknown message:', message);
-                    break;
-            }
-        });
-    });
-  console.info(`${new Date().toISOString()} getting updates ...`)
-  db.events.on('update', async (entry) => {
-      console.debug(`new head entry op ${entry.payload.op} with value ${JSON.stringify(entry.payload.value)}`)
-      if (oldHeads) {
-        for (let hash of Array.from(oldHeads, h => h.hash)) {
-          let it = db.log.iterator({gt: hash, lte: entry.hash})
-          for await (let entry of it) {
-            console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-            oldHeads = [entry]
-          }
-        }
-      } else {
-        let it = db.log.iterator({lte: entry.hash})
-        for await (let entry of it) {
-          console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-          oldHeads = [entry]
-        }
-      }
-  })
-  console.info(`${new Date().toISOString()} searching result: `)
-  let result = await db.query(data => {
-    return data.content === "content 5000"
-  })
-  console.info(`${new Date().toISOString()} result: `, JSON.stringify(result))
-}
-
-async function handleTerminationSignal() {
-  console.info('received termination signal, cleaning up and exiting...');
-  await db.close()
-  await orbitdb.stop()
-  await ipfs.stop()
-  process.exit();
-}
-
-await run()
\ No newline at end of file
diff --git a/ipfs_transformers/orbit_kit_lib/package.json b/ipfs_transformers/orbit_kit_lib/package.json
deleted file mode 100644
index 9ebe341..0000000
--- a/ipfs_transformers/orbit_kit_lib/package.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "name": "agwp2pdb",
-  "version": "1.0.0",
-  "description": "AGW P2P distributed database",
-  "main": "orbit.js",
-  "type": "module",
-  "scripts": {
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "keywords": [
-    "AGW",
-    "P2P",
-    "orbit"
-  ],
-  "author": "Karsten Ohme",
-  "license": "UNLICENSED",
-  "dependencies": {
-    "@chainsafe/libp2p-gossipsub": "^11.1.0",
-    "@chainsafe/libp2p-noise": "^15.0.0",
-    "@helia/block-brokers": "^1.0.0",
-    "@libp2p/bootstrap": "^10.0.12",
-    "@libp2p/circuit-relay-v2": "^1.0.12",
-    "@libp2p/mdns": "^10.0.12",
-    "@libp2p/tcp": "^9.0.12",
-    "@libp2p/webrtc": "^4.0.16",
-    "@libp2p/websockets": "^8.0.12",
-    "@orbitdb/core": "^2.0.1",
-    "blockstore-level": "^1.1.7",
-    "bson": "^6.2.0",
-    "helia": "^3.0.1",
-    "libp2p": "^1.2.0",
-    "minimist": "^1.2.8",
-    "private-ip": "^3.0.2",
-    "uuid": "^9.0.1"
-  }
-}
diff --git a/ipfs_transformers/orbit_kit_lib/websocket_test_slave.js b/ipfs_transformers/orbit_kit_lib/websocket_test_slave.js
deleted file mode 100644
index c3bcbe7..0000000
--- a/ipfs_transformers/orbit_kit_lib/websocket_test_slave.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import { WebSocket } from 'ws';
-
-export default async function main(){
-    const ws = new WebSocket('ws://localhost:8888');
-    ws.on('open', () => {
-        ws.send(JSON.stringify({'insert': { _id: '1', content: 'content 1' }}))
-
-        ws.send(JSON.stringify({'select': { _id: '1' }}))
-        
-        ws.send(JSON.stringify({"update": { _id: '1', content: 'content 2' }}))
-        
-        ws.send(JSON.stringify({'delete': { _id: '1' }}))
-    });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main();
\ No newline at end of file
diff --git a/ipfs_transformers/orbit_kit_lib/yarn.lock b/ipfs_transformers/orbit_kit_lib/yarn.lock
deleted file mode 100644
index b3f46c1..0000000
--- a/ipfs_transformers/orbit_kit_lib/yarn.lock
+++ /dev/null
@@ -1,6371 +0,0 @@
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-# yarn lockfile v1
-
-
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diff --git a/ipfs_transformers/s3_kit.py b/ipfs_transformers/s3_kit.py
deleted file mode 100755
index dddba36..0000000
--- a/ipfs_transformers/s3_kit.py
+++ /dev/null
@@ -1,546 +0,0 @@
-from boto3 import resource
-from boto3.session import Session
-import datetime
-import os
-import sys
-import io
-import tempfile
-import json
-
-class s3_kit:
-	def __init__(self, resources, meta=None):
-		self.bucket = None
-		self.bucket_files = None
-		self.cp_dir = self.s3_cp_dir
-		self.cp_file = self.s3_cp_file
-		self.rm_dir = self.s3_rm_dir
-		self.rm_file = self.s3_rm_file
-		self.ls_dir = self.s3_ls_dir
-		self.ls_file = self.s3_ls_file
-		self.mv_dir = self.s3_mv_dir
-		self.mv_file = self.s3_mv_file
-		self.dl_dir = self.s3_dl_dir
-		self.dl_file = self.s3_dl_file
-		self.ul_dir = self.s3_ul_dir
-		self.ul_file = self.s3_ul_file
-		self.mk_dir = self.s3_mk_dir
-		self.get_session = self.get_session
-		if meta is not None:
-			if "s3cfg" in meta:
-				if meta['s3cfg'] is not None:
-					self.config = meta['s3cfg']
-					self.get_session(meta['s3cfg'])
-
-	def __call__(self, method, **kwargs):
-		if method == 'ls_dir':
-			self.method = 'ls_dir'
-			return self.s3_ls_dir(**kwargs)
-		if method == 'rm_dir':
-			self.method = 'rm_dir'
-			return self.s3_rm_dir(**kwargs)
-		if method == 'cp_dir':
-			self.method = 'cp_dir'
-			return self.s3_cp_dir(**kwargs)
-		if method == 'mv_dir':
-			self.method = 'mv_dir'
-			return self.s3_mv_dir(**kwargs)
-		if method == 'dl_dir':
-			self.method = 'dl_dir'
-			return self.s3_dl_dir(**kwargs)
-		if method == 'ul_dir':
-			self.method = 'ul_dir'
-			return self.s3_ul_dir(**kwargs)
-		if method == 'ls_file':
-			self.method = 'ls_file'
-			return self.s3_ls_file(**kwargs)
-		if method == 'rm_file':
-			self.method = 'rm_file'
-			return self.s3_rm_file(**kwargs)
-		if method == 'cp_file':
-			self.method = 'cp_file'
-			return self.s3_cp_file(**kwargs)
-		if method == 'mv_file':
-			self.method = 'mv_file'
-			return self.s3_mv_file(**kwargs)
-		if method == 'dl_file':
-			self.method = 'dl_file'
-			return self.s3_dl_file(**kwargs)
-		if method == 'ul_file':
-			self.method = 'ul_file'
-			return self.s3_ul_file(**kwargs)
-		if method == 'mk_dir':
-			self.method = 'mk_dir'
-			return self.s3_mkdir(**kwargs)
-		if method == 'get_session':
-			self.method = 'get_session'
-			return self.get_session(**kwargs)
-		if method == 'config_to_boto':
-			self.method = 'config_to_boto'
-			return self.config_to_boto(**kwargs)
-
-	def s3_ls_dir(self, dir, bucket_name, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-
-		bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket_name)
-		bucket_objects = bucket.objects.filter(Prefix=dir)
-		objects = []
-		directory = {}
-		for obj in bucket_objects:
-			result = {}
-			result['key'] = obj.key
-			result['last_modified'] = datetime.datetime.timestamp(obj.last_modified)
-			result['size'] = obj.size
-			result['e_tag'] = obj.e_tag
-			objects.append(result)
-		return objects
-
-	def s3_rm_dir(self, dir, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		objects = s3bucket.objects.filter(Prefix=dir)
-		directory = []
-		for obj in objects:
-			this_key = obj.key
-			this_etag = obj.e_tag
-			last_modified = obj.last_modified
-			size = obj.size
-			request = obj.delete()
-			results = {
-				"key": this_key,
-				"e_tag": this_etag,
-				"last_modified": datetime.datetime.timestamp(last_modified),
-				"size": size
-			}
-			directory.append(results)
-		return directory
-	
-	
-	def s3_cp_dir(self, src_path , dst_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		objects = s3bucket.objects.filter(Prefix=src_path)
-		directory = {}
-		for obj in objects:
-			src_key = obj.key
-			dst_key = src_key.replace(src_path, dst_path)
-			if src_key != src_path:
-				request1 = obj.copy_from(
-					CopySource={
-						"Bucket": bucket,
-						"Key": src_key,
-					},
-					Bucket=bucket,
-					Key=dst_key,
-				)
-
-				last_modified = None
-				size = None
-				this_etag = obj.e_tag
-				for item in request1:
-					if item == "CopyObjectResult":
-						for item2 in request1[item]:
-							if item2 == "ETag":
-								e_tag = request1[item][item2]
-							elif item2 == "LastModified":
-								last_modified = request1[item][item2]
-				results = {
-					"key": src_key,
-					"e_tag": this_etag,
-					"last_modified": datetime.datetime.timestamp(last_modified),
-					"size": size
-				}
-				directory[obj.key] = results
-		return directory
-	
-	def s3_mv_dir(self, src_path , dst_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		objects = s3bucket.objects.filter(Prefix=src_path)
-		directory = {}
-		for obj in objects:
-			src_key = obj.key
-			dst_key = src_key.replace(src_path, dst_path)
-			if src_key != src_path:
-				request1 = obj.copy_from(
-					CopySource={
-						"Bucket": bucket,
-						"Key": src_key,
-					},
-					Bucket=bucket,
-					Key=dst_key,
-				)
-
-				last_modified = None
-				size = None
-				this_etag = obj.e_tag
-				for item in request1:
-					if item == "CopyObjectResult":
-						for item2 in request1[item]:
-							if item2 == "ETag":
-								e_tag = request1[item][item2]
-							elif item2 == "LastModified":
-								last_modified = request1[item][item2]
-				request2 = obj.delete(
-				)
-				results = {
-					"key": src_key,
-					"e_tag": this_etag,
-					"last_modified": datetime.datetime.timestamp(last_modified),
-					"size": size
-				}
-				directory[obj.key] = results
-		return directory
-	
-	def s3_dl_dir(self, remote_path, local_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		directory = {}
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		objects = s3bucket.objects.filter(Prefix=remote_path)
-		for obj in objects:
-			request = obj.get()
-			data = request['Body'].read()
-			filename = os.path.basename(obj.key)
-			if not os.path.exists(local_path):
-				os.makedirs(local_path)
-			## split te local path string and make sure that all the sub folders exist
-			local_path_split = local_path.split('/')
-			for i in range(1, len(local_path_split)):
-				local_path_check = os.path.join('/', *local_path_split[:i])
-				if not os.path.exists(local_path_check):
-					os.mkdir(local_path_check)
-
-			local_file = os.path.join(local_path, filename)
-			with open(local_file, 'wb') as this_file:
-				this_file.write(data)
-			results = {
-				"key": obj.key,
-				"last_modified": datetime.datetime.timestamp(obj.last_modified),
-				"size": obj.size,
-				"e_tag": obj.e_tag,
-			}
-			directory[obj.key] = results
-
-		return directory
-			
-	def s3_ul_dir(self, local_path, remote_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config		
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		objects = s3bucket.objects.filter(Prefix=remote_path).all()
-		files = [os.path.join(local_path, file) for file in os.listdir(local_path)]
-
-		results = {}
-		for upload_file in files:
-			if os.path.isfile(upload_file):
-				file_extension = os.path.splitext(upload_file)[1]
-				upload_file = open(upload_file, 'rb')
-			else:
-				raise Exception("upload_file must be a file")
-			upload_key = os.path.join(remote_path, os.path.basename(upload_file.name))
-			response = s3bucket.put_object(Key=upload_key, Body=upload_file)
-			result = {
-				"key": response.key,
-				"last_modified": datetime.datetime.timestamp(response.last_modified),
-				"size": response.content_length,
-				"e_tag": response.e_tag,
-			}
-			results[response.key] = result
-		return results
-	
-	def s3_ls_file(self, filekey, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		bucket_objects = s3bucket.objects.filter(Prefix=filekey)
-		bucket_object_metadata = bucket_objects.all()
-		objects = []
-		directory = {}
-		for obj in bucket_objects:
-			objects.append(obj)
-		if len(objects) == 0:
-			return False
-		for obj in objects:
-			metadata = {
-				"key": obj.key,
-				"last_modified": datetime.datetime.timestamp(obj.last_modified),
-				"size": obj.size,
-				"e_tag": obj.e_tag,
-			}
-			directory[obj.key] = metadata
-		return directory
-	
-	def s3_rm_file(self, this_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		this_object = s3bucket.Object(this_path)
-		key = this_object.key
-		last_modified = this_object.last_modified
-		content_length = this_object.content_length
-		e_tag = this_object.e_tag
-		request = this_object.delete(
-			Key=this_path,
-		)
-		#print(request)
-		results = {
-			"key": key,
-			"e_tag": e_tag,
-			"last_modified": datetime.datetime.timestamp(last_modified),
-			"size": content_length,
-		}
-		return results	
-
-	def s3_cp_file(self, src_path, dst_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		this_object = s3bucket.Object(src_path)
-		request = this_object.copy_from(
-			CopySource={
-				"Bucket": bucket,
-				"Key": src_path,
-			},
-			Bucket=bucket,
-			Key=dst_path,
-		)
-		for item in request:
-			if item == "CopyObjectResult":
-				for item2 in request[item]:
-					if item2 == "ETag":
-						e_tag = request[item][item2]
-					elif item2 == "LastModified":
-						last_modified = request[item][item2]
-		key = dst_path
-		content_length = this_object.content_length
-		results = {
-			"key": dst_path,
-			"e_tag": e_tag,
-			"last_modified": datetime.datetime.timestamp(last_modified),
-			"size": content_length,
-		}
-		return results
-	
-	def s3_mv_file(self, src_path, dst_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		this_object = s3bucket.Object(src_path)
-		request1 = this_object.copy_from(
-			CopySource={
-				"Bucket": bucket,
-				"Key": src_path,
-			},
-			Bucket=bucket,
-			Key=dst_path,
-		)
-
-		content_length = this_object.content_length
-		for obj in request1:
-			#print(obj)
-			if obj == "CopyObjectResult":
-				request_result = request1[obj]
-				for result in request_result:
-					#print(result)
-					if result == "ETag":
-						e_tag = request_result[result]
-					elif result == "LastModified":
-						last_modified = request_result[result]
-						pass	
-		request2 = this_object.delete(
-		)
-		results = {
-			"key": dst_path,
-			"e_tag": e_tag,
-			"last_modified": datetime.datetime.timestamp(last_modified),
-			"size": content_length,
-		}
-		return results
-	
-	
-	def s3_dl_file(self, remote_path, local_path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		if "s3://" in remote_path:
-			remote_path = remote_path.replace("s3://", "")
-			remote_path = remote_path.replace(bucket + "/", "")
-		
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		this_object = s3bucket.Object(remote_path)
-		response = this_object.get()
-		data = response['Body'].read()
-		with open(local_path, 'wb') as this_file:
-			this_file.write(data)
-		results = {
-			"key": remote_path,
-			"last_modified": datetime.datetime.timestamp(this_object.last_modified),
-			"size": this_object.content_length,
-			"e_tag": this_object.e_tag,
-			"local_path": local_path,
-		}
-		return results		
-	
-	def s3_ul_file(self, upload_file, path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-
-		if os.path.isfile(upload_file):
-			file_extension = os.path.splitext(upload_file)[1]
-			upload_file = open(upload_file, 'rb')
-		else:
-			upload_file = io.BytesIO(upload_file)
-			file_extension = os.path.splitext(path)[1]
-
-		with tempfile.NamedTemporaryFile(suffix=file_extension, dir="/tmp") as this_temp_file:
-			this_temp_file.write(upload_file.read())
-			upload_file = this_temp_file.name
-
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		response = s3bucket.put_object(Key=path, Body=upload_file)
-		results = {
-			"key": response.key,
-			"last_modified": datetime.datetime.timestamp(response.last_modified),
-			"size": response.content_length,
-			"e_tag": response.e_tag,
-		}
-		return results
-	
-	def s3_mk_dir(self, path, bucket, **kwargs):
-		if "s3cfg" in kwargs:
-			s3_config = kwargs['s3cfg']
-		else:
-			s3_config = self.config
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		response = s3bucket.put_object(Key=path)
-		results = {
-			"key": response.key,
-			"last_modified": datetime.datetime.timestamp(response.last_modified),
-			"size": response.content_length,
-			"e_tag": response.e_tag,
-		}
-		return results
-	
-
-	def s3_upload_object(self, f, bucket, key, s3_config, progress_callback):
-		s3 = self.get_session(s3_config)
-		return s3.upload_fileobj(
-			f, 
-			bucket, 
-			key, 
-			Callback=progress_callback
-		)
-	
-	def s3_download_object(self, f, bucket, key, s3_config, progress_callback):
-		s3 = self.get_session(s3_config)
-		return s3.download_fileobj(
-			bucket, 
-			key, 
-			f, 
-			Callback=progress_callback
-		)
-	
-
-	def upload_dir(self, dir, bucket, s3_config, progress_callback):
-		s3 = self.get_session(s3_config)
-		return s3.upload_file(
-			dir, 
-			bucket, 
-			progress_callback
-		)
-	
-	def download_dir(self, dir, bucket, s3_config, progress_callback):
-		s3 = self.get_session(s3_config)
-		return s3.download_file(
-			bucket, 
-			dir, 
-			progress_callback
-		)
-
-	def s3_read_dir(self, dir, bucket, s3_config):
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		bucket_objects = bucket.objects.filter(Prefix=dir)
-		bucket_object_metadata = bucket_objects.all()
-		objects = []
-		directory = {}
-		for obj in bucket_object_metadata:
-			objects.append(obj)
-		for obj in objects:
-			metadata = {
-				"key": obj.key,
-				"last_modified": datetime.datetime.timestamp(obj.last_modified),
-				"size": obj.size,
-				"e_tag": obj.e_tag,
-			}
-			directory[obj.key] = metadata
-		return directory
-
-	def s3_download_object(self, f, bucket, key, s3_config, progress_callback):
-		s3 = self.get_session(s3_config)
-		return s3.download_fileobj(
-			bucket, 
-			key, 
-			f, 
-			Callback=progress_callback
-		)
-	
-	def s3_mkdir(self, dir, bucket, s3_config):
-		s3bucket = resource(**self.config_to_boto(s3_config)).Bucket(bucket)
-		return s3bucket.put_object(Key=dir)
-
-	def get_session(self, s3_config):
-
-		if "session" not in self.__dict__:
-			self.session = Session().client(**self.config_to_boto(s3_config))
-		return self.session 
-
-	def config_to_boto(self, s3_config):
-		if "accessKey" in s3_config.keys():
-			results = dict(
-				service_name = 's3',
-				aws_access_key_id = s3_config['accessKey'],
-				aws_secret_access_key = s3_config['secretKey'],
-				endpoint_url = s3_config['endpoint'],
-			)
-			self.config = results
-			return results
-		elif "aws_access_key_id" in s3_config.keys():
-			results = dict(
-				service_name = 's3',
-				aws_access_key_id = s3_config['aws_access_key_id'],
-				aws_secret_access_key = s3_config['aws_secret_access_key'],
-				endpoint_url = s3_config['endpoint_url'],
-			)
-			self.config = results
-			return results
-		else:
-			raise Exception("s3_config must contain accessKey, secretKey, and endpoint")
diff --git a/ipfs_transformers/test_fio.py b/ipfs_transformers/test_fio.py
deleted file mode 100644
index 69d37b1..0000000
--- a/ipfs_transformers/test_fio.py
+++ /dev/null
@@ -1,124 +0,0 @@
-import os
-import sys
-import datetime
-import subprocess
-import tempfile
-import json
-import math
-import subprocess
-import tempfile
-
-class test_fio:
-    def __init__(self, resources, meta=None):
-        pass
-
-    def __call__(self, method, **kwargs):
-        if method == "test":
-            return self.test(self, **kwargs)
-
-    def disk_device_name_from_location(self, location):
-        directory_tree = location.split("/")
-
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if location in line:
-                device = line.split(" ")[0]
-                return device
-            else:
-                while directory_tree.__len__() > 1:
-                    directory_tree.pop()
-                    location = "/".join(directory_tree)
-                    for line in df:
-                        if len(directory_tree) == 1 and location == "":
-                            location = "/"
-                        if location in line:
-                            while "  " in line:
-                                line = line.replace("  ", " ")
-                            mount = line.split(" ")
-                            if mount[5] == location:
-                                device = mount[0]
-                                return device
-        return "rootfs"
-    
-    def disk_device_total_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[1]
-                return capacity
-        return None
-    
-    def disk_device_used_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[2]
-                return capacity
-        return None
-
-
-    def disk_device_avail_capacity(self, device):
-        command = "df -h"
-        df = subprocess.check_output(command, shell=True)
-        df = df.decode()
-        df = df.split("\n")
-        for line in df:
-            if device in line:
-                ## remove duplicate spaces in line
-                while "  " in line:
-                    line = line.replace("  ", " ")
-                capacity = line.split(" ")[3]
-                return capacity
-        return None
-
-    def disk_speed_4k(self, location):
-        with tempfile.NamedTemporaryFile(suffix=".iso", dir=location) as temp_file:
-            timestamp_0 = datetime.datetime.now()
-            command = "dd if=/dev/zero of=" + temp_file.name + " bs=4k count=8k conv=fdatasync"
-            subprocess.check_output(command, shell=True)
-            timestamp_1 = datetime.datetime.now()
-            write_speed = 32 / (timestamp_1 - timestamp_0).total_seconds()
-            command2 = "dd if=" + temp_file.name + " of=/dev/null bs=4k"
-            subprocess.check_output(command2, shell=True)
-            timestamp_2 = datetime.datetime.now()
-            read_speed = 32 / (timestamp_2 - timestamp_1).total_seconds()
-            command3 = "rm " + temp_file.name
-            return read_speed, write_speed
-            
-    def stats(self,location, **kwargs):
-        disk_device = self.disk_device_name_from_location(location)
-        disk_capacity = self.disk_device_total_capacity(disk_device)
-        disk_used = self.disk_device_used_capacity(disk_device)
-        disk_avail = self.disk_device_avail_capacity(disk_device)
-        disk_read_speed, disk_write_speed = self.disk_speed_4k(location)
-        results = {
-            "disk_device": disk_device,
-            "disk_capacity": disk_capacity,
-            "disk_used": disk_used,
-            "disk_avail": disk_avail,
-            "disk_write_speed": disk_write_speed,
-            "disk_read_speed": disk_read_speed
-        }
-        return results
-
-#if __name__ == "__main__":
-#    this_test = test_fio(None)
-#    results = this_test.test("/tmp/")
-#    print(results)    
-#    print("Test complete")
-#    sys.exit(0)
\ No newline at end of file
diff --git a/model_collection_viewer/collection.json b/model_collection_viewer/collection.json
deleted file mode 100644
index 6010e87..0000000
--- a/model_collection_viewer/collection.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/model_collection_viewer/dev.js b/model_collection_viewer/dev.js
deleted file mode 100644
index 9d16c1a..0000000
--- a/model_collection_viewer/dev.js
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-import serve from 'koa-static'
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-import chokidar from 'chokidar'
-
-
-let koa = new Koa()
-koa.use(serve('.'))
-koa.listen(5173)
-
-if(!fs.existsSync('dist'))
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diff --git a/model_collection_viewer/dist/app.css b/model_collection_viewer/dist/app.css
deleted file mode 100644
index ca1a26c..0000000
--- a/model_collection_viewer/dist/app.css
+++ /dev/null
@@ -1,363 +0,0 @@
-* , *:before, *:after{ 
-	box-sizing:border-box; 
-	-moz-box-sizing:border-box; 
-	-webkit-box-sizing:border-box; 
-	-ms-box-sizing:border-box;
-	margin: 0;
-	padding: 0;
-}
-
-body{
-	font-family: 'Roboto', sans-serif;
-	background-color: #e9e8eb;
-}
-
-.header{
-	background-color: #51b8bc;
-	color: #fff;
-	padding: 12px;
-	display: flex;
-	justify-content: space-between;
-	align-items: center;
-}
-
-.header .logo{
-	font-size: 24px;
-}
-
-.top-bar{
-	width: 90%;
-	height: 64px;
-	margin-top: 32px;
-	margin-left: auto;
-	margin-right: auto;
-	background-color: #51b8bc;
-	color: #fff;
-	padding-left: 12px;
-	padding-right: 32px;
-	display: flex;
-	justify-content: space-between;
-	align-items: center;
-}
-
-@media screen and (max-width: 960px){
-
-.top-bar{
-		width: 100%
-}
-	}
-
-@media screen and (max-width: 767px){
-
-.top-bar{
-		width: 100%;
-		font-size: 12pt;
-		margin-top: 12px
-}
-	}
-
-.search{
-	width: 50%;
-	min-width: 200px;
-	max-width: 500px;
-	height: 32px;
-	border-radius: 100px;
-	text-align: center;
-	border: none;
-	font-size: 12pt;
-}
-
-.search:focus{
-	outline: none;
-}
-
-.content{
-	width: 90%;
-	height: 85vh;
-	margin-left: auto;
-	margin-right: auto;
-	overflow: scroll;
-	display: flex;
-	justify-content: space-between;
-	scrollbar-width: none;
-}
-
-@media screen and (max-width: 960px){
-
-.content{
-		width: 100%
-}
-	}
-
-.model-list{
-	width: 100%;
-}
-
-.model-name{
-	width: 33%;
-	margin-right: auto;
-	margin-left: 32px;
-	margin-top: auto;
-	margin-bottom: auto;
-}
-
-.codeblock{
-	margin: auto;
-	display: flex;
-	white-space: pre-wrap;
-	font-family: monospace;
-	background-color: #e9e9eb;
-	border-radius: 100px;
-	padding: 8px;
-	color:#333;
-	height: 32px;
-	cursor: pointer;
-}
-
-@media screen and (max-width: 767px){
-
-.codeblock{
-		overflow: hidden;
-		width: 120px;
-		margin-top: 20px
-}
-	}
-
-@media screen and (max-width: 767px){
-
-.codeblock i{
-		margin-left: 120px
-}
-	}
-
-.codeblock:hover i{
-	color:#bc5551;
-}
-
-.toast{
-	width: 200px;
-	position: absolute;
-	bottom: 12px;
-	right:0;
-	left:0;
-	margin-left: auto;
-	margin-right: auto;
-	background-color: #51b8bc;
-	color: #fff;
-	padding: 12px;
-	border-radius: 12px;
-	text-align: center;
-	opacity: 0;
-	transition: opacity 0.5s;
-}
-
-.toast.active{
-	opacity: 1;
-	transition: opacity 0.5s;
-}
-
-.model-card{
-	color:#4b465c;
-	width:100%;
-	height: 64px;
-	background-color: #fff;
-	border-radius: 0px;
-	margin-top: 12px;
-	display: flex;
-	justify-content: space-between;
-	flex-wrap: wrap;
-	overflow: hidden;
-	transition: height 0.5s;
-
-	box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-	-webkit-box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-	-moz-box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-
-}
-
-@media screen and (max-width: 767px){
-
-.model-card{
-		height: 80px
-
-}
-	}
-
-@media screen and (max-width: 767px){
-
-.model-card h2{
-		font-size: 12pt;
-		margin-top: 12px;
-		margin-left: 12px;
-		margin-bottom: 50px
-}
-	}
-
-.model-card i{
-	color: #4b465c;
-}
-
-.model-card i:hover{
-	color: #bc5551;
-}
-
-.model-card.active{
-	/* change height to fit the model details */
-	height: 500px;
-	transition: height 0.5s;
-}
-
-@media screen and (max-width: 767px){
-
-.model-card.active{
-		height: 600px
-}
-	}
-
-.model-card button{
-	font-size: larger;
-	width: 64px;
-	height: 64px;
-	background: none;
-	border: none;
-	cursor: pointer;
-	transition: rotate 0.5s;
-}
-
-@media screen and (max-width: 767px){
-
-.model-card button{
-		margin-top: 12px
-}
-	}
-
-.model-card.active button{
-	font-size: larger;
-	width: 64px;
-	height: 64px;
-	background: none;
-	border: none;
-	cursor: pointer;
-	rotate: 180deg;
-	transition: rotate 0.5s;
-}
-
-.model-details{
-	width: 98%;
-	margin: auto;
-	padding-top: 12px;
-	border-top: 2px solid #7a7a7a;
-	display: flex;
-	flex-wrap: wrap;
-	padding: 20px;
-	/* adds margin to the bottom of the model details so it doesn't size the top of the model card  margin is hidden by overflow hidden */
-	margin-bottom: 100px;
-}
-
-@media screen and (max-width: 767px){
-
-.model-details{
-		padding: 12px;
-		margin-bottom: 20px
-}
-	}
-
-.source{
-	width: 100%;
-	margin-bottom: 16px;
-	font-weight: 500;
-}
-
-.source a {
-	color: #4b465c;
-	text-decoration: none;
-	cursor: pointer;
-}
-
-.source a:hover{
-	color: #bc5551;
-}
-
-.hw-reqs{
-	margin-right: 50px;
-	width: 40%;
-}
-
-@media screen and (max-width: 767px){
-
-.hw-reqs{
-		width: 49%;
-		margin-right: 6px
-}
-	}
-
-.hw-reqs h3{
-	margin-bottom: 12px;
-}
-
-.hw-reqs ul{
-	
-	list-style-type: none;
-}
-
-.hw-reqs ul li{
-	margin-bottom: 12px;
-	background-color: #e9e8eb;
-	padding-left: 16px;
-	padding-top: 5px;
-	padding-bottom: 5px;
-	font-weight: 500;
-}
-
-.metadata{
-	width: 40%;
-}
-
-@media screen and (max-width: 767px){
-
-.metadata{
-		width: 49%;
-		margin-top: 21px
-}
-	}
-
-.metadata h3{
-	margin-bottom: 12px;
-}
-
-.metadata ul{
-
-	list-style-type: none;
-}
-
-.metadata ul li{
-	margin-bottom: 12px;
-	background-color: #e9e8eb;
-	padding-left: 16px;
-	padding-top: 5px;
-	padding-bottom: 5px;
-	font-weight: 500;
-}
-
-.loader {
-	align-self: center;
-	margin-left: auto;
-	margin-right: auto;
-	width: 64px;
-	height: 64px;
-	border: 8px solid;
-	border-color: #51b8bc transparent;
-	border-radius: 50%;
-	display: inline-block;
-	box-sizing: border-box;
-	animation: rotation 1s linear infinite;
-  }
-
-@keyframes rotation {
-	0% {
-	  transform: rotate(0deg);
-	}
-	100% {
-	  transform: rotate(360deg);
-	}
-  } 
\ No newline at end of file
diff --git a/model_collection_viewer/dist/app.js b/model_collection_viewer/dist/app.js
deleted file mode 100644
index 2ae6784..0000000
--- a/model_collection_viewer/dist/app.js
+++ /dev/null
@@ -1,2078 +0,0 @@
-(() => {
-  var __create = Object.create;
-  var __defProp = Object.defineProperty;
-  var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
-  var __getOwnPropNames = Object.getOwnPropertyNames;
-  var __getProtoOf = Object.getPrototypeOf;
-  var __hasOwnProp = Object.prototype.hasOwnProperty;
-  var __commonJS = (cb, mod) => function __require() {
-    return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;
-  };
-  var __copyProps = (to, from, except, desc) => {
-    if (from && typeof from === "object" || typeof from === "function") {
-      for (let key of __getOwnPropNames(from))
-        if (!__hasOwnProp.call(to, key) && key !== except)
-          __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
-    }
-    return to;
-  };
-  var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(
-    // If the importer is in node compatibility mode or this is not an ESM
-    // file that has been converted to a CommonJS file using a Babel-
-    // compatible transform (i.e. "__esModule" has not been set), then set
-    // "default" to the CommonJS "module.exports" for node compatibility.
-    isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", { value: mod, enumerable: true }) : target,
-    mod
-  ));
-
-  // node_modules/mithril/render/vnode.js
-  var require_vnode = __commonJS({
-    "node_modules/mithril/render/vnode.js"(exports, module) {
-      "use strict";
-      function Vnode(tag, key, attrs, children, text, dom) {
-        return { tag, key, attrs, children, text, dom, domSize: void 0, state: void 0, events: void 0, instance: void 0 };
-      }
-      Vnode.normalize = function(node) {
-        if (Array.isArray(node))
-          return Vnode("[", void 0, void 0, Vnode.normalizeChildren(node), void 0, void 0);
-        if (node == null || typeof node === "boolean")
-          return null;
-        if (typeof node === "object")
-          return node;
-        return Vnode("#", void 0, void 0, String(node), void 0, void 0);
-      };
-      Vnode.normalizeChildren = function(input) {
-        var children = [];
-        if (input.length) {
-          var isKeyed = input[0] != null && input[0].key != null;
-          for (var i = 1; i < input.length; i++) {
-            if ((input[i] != null && input[i].key != null) !== isKeyed) {
-              throw new TypeError(
-                isKeyed && (input[i] != null || typeof input[i] === "boolean") ? "In fragments, vnodes must either all have keys or none have keys. You may wish to consider using an explicit keyed empty fragment, m.fragment({key: ...}), instead of a hole." : "In fragments, vnodes must either all have keys or none have keys."
-              );
-            }
-          }
-          for (var i = 0; i < input.length; i++) {
-            children[i] = Vnode.normalize(input[i]);
-          }
-        }
-        return children;
-      };
-      module.exports = Vnode;
-    }
-  });
-
-  // node_modules/mithril/render/hyperscriptVnode.js
-  var require_hyperscriptVnode = __commonJS({
-    "node_modules/mithril/render/hyperscriptVnode.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      module.exports = function() {
-        var attrs = arguments[this], start = this + 1, children;
-        if (attrs == null) {
-          attrs = {};
-        } else if (typeof attrs !== "object" || attrs.tag != null || Array.isArray(attrs)) {
-          attrs = {};
-          start = this;
-        }
-        if (arguments.length === start + 1) {
-          children = arguments[start];
-          if (!Array.isArray(children))
-            children = [children];
-        } else {
-          children = [];
-          while (start < arguments.length)
-            children.push(arguments[start++]);
-        }
-        return Vnode("", attrs.key, attrs, children);
-      };
-    }
-  });
-
-  // node_modules/mithril/util/hasOwn.js
-  var require_hasOwn = __commonJS({
-    "node_modules/mithril/util/hasOwn.js"(exports, module) {
-      "use strict";
-      module.exports = {}.hasOwnProperty;
-    }
-  });
-
-  // node_modules/mithril/render/hyperscript.js
-  var require_hyperscript = __commonJS({
-    "node_modules/mithril/render/hyperscript.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      var hyperscriptVnode = require_hyperscriptVnode();
-      var hasOwn = require_hasOwn();
-      var selectorParser = /(?:(^|#|\.)([^#\.\[\]]+))|(\[(.+?)(?:\s*=\s*("|'|)((?:\\["'\]]|.)*?)\5)?\])/g;
-      var selectorCache = {};
-      function isEmpty(object) {
-        for (var key in object)
-          if (hasOwn.call(object, key))
-            return false;
-        return true;
-      }
-      function compileSelector(selector) {
-        var match, tag = "div", classes = [], attrs = {};
-        while (match = selectorParser.exec(selector)) {
-          var type = match[1], value = match[2];
-          if (type === "" && value !== "")
-            tag = value;
-          else if (type === "#")
-            attrs.id = value;
-          else if (type === ".")
-            classes.push(value);
-          else if (match[3][0] === "[") {
-            var attrValue = match[6];
-            if (attrValue)
-              attrValue = attrValue.replace(/\\(["'])/g, "$1").replace(/\\\\/g, "\\");
-            if (match[4] === "class")
-              classes.push(attrValue);
-            else
-              attrs[match[4]] = attrValue === "" ? attrValue : attrValue || true;
-          }
-        }
-        if (classes.length > 0)
-          attrs.className = classes.join(" ");
-        return selectorCache[selector] = { tag, attrs };
-      }
-      function execSelector(state, vnode) {
-        var attrs = vnode.attrs;
-        var hasClass = hasOwn.call(attrs, "class");
-        var className = hasClass ? attrs.class : attrs.className;
-        vnode.tag = state.tag;
-        vnode.attrs = {};
-        if (!isEmpty(state.attrs) && !isEmpty(attrs)) {
-          var newAttrs = {};
-          for (var key in attrs) {
-            if (hasOwn.call(attrs, key))
-              newAttrs[key] = attrs[key];
-          }
-          attrs = newAttrs;
-        }
-        for (var key in state.attrs) {
-          if (hasOwn.call(state.attrs, key) && key !== "className" && !hasOwn.call(attrs, key)) {
-            attrs[key] = state.attrs[key];
-          }
-        }
-        if (className != null || state.attrs.className != null)
-          attrs.className = className != null ? state.attrs.className != null ? String(state.attrs.className) + " " + String(className) : className : state.attrs.className != null ? state.attrs.className : null;
-        if (hasClass)
-          attrs.class = null;
-        for (var key in attrs) {
-          if (hasOwn.call(attrs, key) && key !== "key") {
-            vnode.attrs = attrs;
-            break;
-          }
-        }
-        return vnode;
-      }
-      function hyperscript(selector) {
-        if (selector == null || typeof selector !== "string" && typeof selector !== "function" && typeof selector.view !== "function") {
-          throw Error("The selector must be either a string or a component.");
-        }
-        var vnode = hyperscriptVnode.apply(1, arguments);
-        if (typeof selector === "string") {
-          vnode.children = Vnode.normalizeChildren(vnode.children);
-          if (selector !== "[")
-            return execSelector(selectorCache[selector] || compileSelector(selector), vnode);
-        }
-        vnode.tag = selector;
-        return vnode;
-      }
-      module.exports = hyperscript;
-    }
-  });
-
-  // node_modules/mithril/render/trust.js
-  var require_trust = __commonJS({
-    "node_modules/mithril/render/trust.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      module.exports = function(html) {
-        if (html == null)
-          html = "";
-        return Vnode("<", void 0, void 0, html, void 0, void 0);
-      };
-    }
-  });
-
-  // node_modules/mithril/render/fragment.js
-  var require_fragment = __commonJS({
-    "node_modules/mithril/render/fragment.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      var hyperscriptVnode = require_hyperscriptVnode();
-      module.exports = function() {
-        var vnode = hyperscriptVnode.apply(0, arguments);
-        vnode.tag = "[";
-        vnode.children = Vnode.normalizeChildren(vnode.children);
-        return vnode;
-      };
-    }
-  });
-
-  // node_modules/mithril/hyperscript.js
-  var require_hyperscript2 = __commonJS({
-    "node_modules/mithril/hyperscript.js"(exports, module) {
-      "use strict";
-      var hyperscript = require_hyperscript();
-      hyperscript.trust = require_trust();
-      hyperscript.fragment = require_fragment();
-      module.exports = hyperscript;
-    }
-  });
-
-  // node_modules/mithril/promise/polyfill.js
-  var require_polyfill = __commonJS({
-    "node_modules/mithril/promise/polyfill.js"(exports, module) {
-      "use strict";
-      var PromisePolyfill = function(executor) {
-        if (!(this instanceof PromisePolyfill))
-          throw new Error("Promise must be called with 'new'.");
-        if (typeof executor !== "function")
-          throw new TypeError("executor must be a function.");
-        var self = this, resolvers = [], rejectors = [], resolveCurrent = handler(resolvers, true), rejectCurrent = handler(rejectors, false);
-        var instance = self._instance = { resolvers, rejectors };
-        var callAsync = typeof setImmediate === "function" ? setImmediate : setTimeout;
-        function handler(list, shouldAbsorb) {
-          return function execute(value) {
-            var then;
-            try {
-              if (shouldAbsorb && value != null && (typeof value === "object" || typeof value === "function") && typeof (then = value.then) === "function") {
-                if (value === self)
-                  throw new TypeError("Promise can't be resolved with itself.");
-                executeOnce(then.bind(value));
-              } else {
-                callAsync(function() {
-                  if (!shouldAbsorb && list.length === 0)
-                    console.error("Possible unhandled promise rejection:", value);
-                  for (var i = 0; i < list.length; i++)
-                    list[i](value);
-                  resolvers.length = 0, rejectors.length = 0;
-                  instance.state = shouldAbsorb;
-                  instance.retry = function() {
-                    execute(value);
-                  };
-                });
-              }
-            } catch (e) {
-              rejectCurrent(e);
-            }
-          };
-        }
-        function executeOnce(then) {
-          var runs = 0;
-          function run(fn) {
-            return function(value) {
-              if (runs++ > 0)
-                return;
-              fn(value);
-            };
-          }
-          var onerror = run(rejectCurrent);
-          try {
-            then(run(resolveCurrent), onerror);
-          } catch (e) {
-            onerror(e);
-          }
-        }
-        executeOnce(executor);
-      };
-      PromisePolyfill.prototype.then = function(onFulfilled, onRejection) {
-        var self = this, instance = self._instance;
-        function handle(callback, list, next, state) {
-          list.push(function(value) {
-            if (typeof callback !== "function")
-              next(value);
-            else
-              try {
-                resolveNext(callback(value));
-              } catch (e) {
-                if (rejectNext)
-                  rejectNext(e);
-              }
-          });
-          if (typeof instance.retry === "function" && state === instance.state)
-            instance.retry();
-        }
-        var resolveNext, rejectNext;
-        var promise = new PromisePolyfill(function(resolve, reject) {
-          resolveNext = resolve, rejectNext = reject;
-        });
-        handle(onFulfilled, instance.resolvers, resolveNext, true), handle(onRejection, instance.rejectors, rejectNext, false);
-        return promise;
-      };
-      PromisePolyfill.prototype.catch = function(onRejection) {
-        return this.then(null, onRejection);
-      };
-      PromisePolyfill.prototype.finally = function(callback) {
-        return this.then(
-          function(value) {
-            return PromisePolyfill.resolve(callback()).then(function() {
-              return value;
-            });
-          },
-          function(reason) {
-            return PromisePolyfill.resolve(callback()).then(function() {
-              return PromisePolyfill.reject(reason);
-            });
-          }
-        );
-      };
-      PromisePolyfill.resolve = function(value) {
-        if (value instanceof PromisePolyfill)
-          return value;
-        return new PromisePolyfill(function(resolve) {
-          resolve(value);
-        });
-      };
-      PromisePolyfill.reject = function(value) {
-        return new PromisePolyfill(function(resolve, reject) {
-          reject(value);
-        });
-      };
-      PromisePolyfill.all = function(list) {
-        return new PromisePolyfill(function(resolve, reject) {
-          var total = list.length, count = 0, values = [];
-          if (list.length === 0)
-            resolve([]);
-          else
-            for (var i = 0; i < list.length; i++) {
-              (function(i2) {
-                function consume(value) {
-                  count++;
-                  values[i2] = value;
-                  if (count === total)
-                    resolve(values);
-                }
-                if (list[i2] != null && (typeof list[i2] === "object" || typeof list[i2] === "function") && typeof list[i2].then === "function") {
-                  list[i2].then(consume, reject);
-                } else
-                  consume(list[i2]);
-              })(i);
-            }
-        });
-      };
-      PromisePolyfill.race = function(list) {
-        return new PromisePolyfill(function(resolve, reject) {
-          for (var i = 0; i < list.length; i++) {
-            list[i].then(resolve, reject);
-          }
-        });
-      };
-      module.exports = PromisePolyfill;
-    }
-  });
-
-  // node_modules/mithril/promise/promise.js
-  var require_promise = __commonJS({
-    "node_modules/mithril/promise/promise.js"(exports, module) {
-      "use strict";
-      var PromisePolyfill = require_polyfill();
-      if (typeof window !== "undefined") {
-        if (typeof window.Promise === "undefined") {
-          window.Promise = PromisePolyfill;
-        } else if (!window.Promise.prototype.finally) {
-          window.Promise.prototype.finally = PromisePolyfill.prototype.finally;
-        }
-        module.exports = window.Promise;
-      } else if (typeof global !== "undefined") {
-        if (typeof global.Promise === "undefined") {
-          global.Promise = PromisePolyfill;
-        } else if (!global.Promise.prototype.finally) {
-          global.Promise.prototype.finally = PromisePolyfill.prototype.finally;
-        }
-        module.exports = global.Promise;
-      } else {
-        module.exports = PromisePolyfill;
-      }
-    }
-  });
-
-  // node_modules/mithril/render/render.js
-  var require_render = __commonJS({
-    "node_modules/mithril/render/render.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      module.exports = function($window) {
-        var $doc = $window && $window.document;
-        var currentRedraw;
-        var nameSpace = {
-          svg: "http://www.w3.org/2000/svg",
-          math: "http://www.w3.org/1998/Math/MathML"
-        };
-        function getNameSpace(vnode) {
-          return vnode.attrs && vnode.attrs.xmlns || nameSpace[vnode.tag];
-        }
-        function checkState(vnode, original) {
-          if (vnode.state !== original)
-            throw new Error("'vnode.state' must not be modified.");
-        }
-        function callHook(vnode) {
-          var original = vnode.state;
-          try {
-            return this.apply(original, arguments);
-          } finally {
-            checkState(vnode, original);
-          }
-        }
-        function activeElement() {
-          try {
-            return $doc.activeElement;
-          } catch (e) {
-            return null;
-          }
-        }
-        function createNodes(parent, vnodes, start, end, hooks, nextSibling, ns) {
-          for (var i = start; i < end; i++) {
-            var vnode = vnodes[i];
-            if (vnode != null) {
-              createNode(parent, vnode, hooks, ns, nextSibling);
-            }
-          }
-        }
-        function createNode(parent, vnode, hooks, ns, nextSibling) {
-          var tag = vnode.tag;
-          if (typeof tag === "string") {
-            vnode.state = {};
-            if (vnode.attrs != null)
-              initLifecycle(vnode.attrs, vnode, hooks);
-            switch (tag) {
-              case "#":
-                createText(parent, vnode, nextSibling);
-                break;
-              case "<":
-                createHTML(parent, vnode, ns, nextSibling);
-                break;
-              case "[":
-                createFragment(parent, vnode, hooks, ns, nextSibling);
-                break;
-              default:
-                createElement(parent, vnode, hooks, ns, nextSibling);
-            }
-          } else
-            createComponent(parent, vnode, hooks, ns, nextSibling);
-        }
-        function createText(parent, vnode, nextSibling) {
-          vnode.dom = $doc.createTextNode(vnode.children);
-          insertNode(parent, vnode.dom, nextSibling);
-        }
-        var possibleParents = { caption: "table", thead: "table", tbody: "table", tfoot: "table", tr: "tbody", th: "tr", td: "tr", colgroup: "table", col: "colgroup" };
-        function createHTML(parent, vnode, ns, nextSibling) {
-          var match = vnode.children.match(/^\s*?<(\w+)/im) || [];
-          var temp = $doc.createElement(possibleParents[match[1]] || "div");
-          if (ns === "http://www.w3.org/2000/svg") {
-            temp.innerHTML = '<svg xmlns="http://www.w3.org/2000/svg">' + vnode.children + "</svg>";
-            temp = temp.firstChild;
-          } else {
-            temp.innerHTML = vnode.children;
-          }
-          vnode.dom = temp.firstChild;
-          vnode.domSize = temp.childNodes.length;
-          vnode.instance = [];
-          var fragment = $doc.createDocumentFragment();
-          var child;
-          while (child = temp.firstChild) {
-            vnode.instance.push(child);
-            fragment.appendChild(child);
-          }
-          insertNode(parent, fragment, nextSibling);
-        }
-        function createFragment(parent, vnode, hooks, ns, nextSibling) {
-          var fragment = $doc.createDocumentFragment();
-          if (vnode.children != null) {
-            var children = vnode.children;
-            createNodes(fragment, children, 0, children.length, hooks, null, ns);
-          }
-          vnode.dom = fragment.firstChild;
-          vnode.domSize = fragment.childNodes.length;
-          insertNode(parent, fragment, nextSibling);
-        }
-        function createElement(parent, vnode, hooks, ns, nextSibling) {
-          var tag = vnode.tag;
-          var attrs = vnode.attrs;
-          var is = attrs && attrs.is;
-          ns = getNameSpace(vnode) || ns;
-          var element = ns ? is ? $doc.createElementNS(ns, tag, { is }) : $doc.createElementNS(ns, tag) : is ? $doc.createElement(tag, { is }) : $doc.createElement(tag);
-          vnode.dom = element;
-          if (attrs != null) {
-            setAttrs(vnode, attrs, ns);
-          }
-          insertNode(parent, element, nextSibling);
-          if (!maybeSetContentEditable(vnode)) {
-            if (vnode.children != null) {
-              var children = vnode.children;
-              createNodes(element, children, 0, children.length, hooks, null, ns);
-              if (vnode.tag === "select" && attrs != null)
-                setLateSelectAttrs(vnode, attrs);
-            }
-          }
-        }
-        function initComponent(vnode, hooks) {
-          var sentinel;
-          if (typeof vnode.tag.view === "function") {
-            vnode.state = Object.create(vnode.tag);
-            sentinel = vnode.state.view;
-            if (sentinel.$$reentrantLock$$ != null)
-              return;
-            sentinel.$$reentrantLock$$ = true;
-          } else {
-            vnode.state = void 0;
-            sentinel = vnode.tag;
-            if (sentinel.$$reentrantLock$$ != null)
-              return;
-            sentinel.$$reentrantLock$$ = true;
-            vnode.state = vnode.tag.prototype != null && typeof vnode.tag.prototype.view === "function" ? new vnode.tag(vnode) : vnode.tag(vnode);
-          }
-          initLifecycle(vnode.state, vnode, hooks);
-          if (vnode.attrs != null)
-            initLifecycle(vnode.attrs, vnode, hooks);
-          vnode.instance = Vnode.normalize(callHook.call(vnode.state.view, vnode));
-          if (vnode.instance === vnode)
-            throw Error("A view cannot return the vnode it received as argument");
-          sentinel.$$reentrantLock$$ = null;
-        }
-        function createComponent(parent, vnode, hooks, ns, nextSibling) {
-          initComponent(vnode, hooks);
-          if (vnode.instance != null) {
-            createNode(parent, vnode.instance, hooks, ns, nextSibling);
-            vnode.dom = vnode.instance.dom;
-            vnode.domSize = vnode.dom != null ? vnode.instance.domSize : 0;
-          } else {
-            vnode.domSize = 0;
-          }
-        }
-        function updateNodes(parent, old, vnodes, hooks, nextSibling, ns) {
-          if (old === vnodes || old == null && vnodes == null)
-            return;
-          else if (old == null || old.length === 0)
-            createNodes(parent, vnodes, 0, vnodes.length, hooks, nextSibling, ns);
-          else if (vnodes == null || vnodes.length === 0)
-            removeNodes(parent, old, 0, old.length);
-          else {
-            var isOldKeyed = old[0] != null && old[0].key != null;
-            var isKeyed = vnodes[0] != null && vnodes[0].key != null;
-            var start = 0, oldStart = 0;
-            if (!isOldKeyed)
-              while (oldStart < old.length && old[oldStart] == null)
-                oldStart++;
-            if (!isKeyed)
-              while (start < vnodes.length && vnodes[start] == null)
-                start++;
-            if (isOldKeyed !== isKeyed) {
-              removeNodes(parent, old, oldStart, old.length);
-              createNodes(parent, vnodes, start, vnodes.length, hooks, nextSibling, ns);
-            } else if (!isKeyed) {
-              var commonLength = old.length < vnodes.length ? old.length : vnodes.length;
-              start = start < oldStart ? start : oldStart;
-              for (; start < commonLength; start++) {
-                o = old[start];
-                v = vnodes[start];
-                if (o === v || o == null && v == null)
-                  continue;
-                else if (o == null)
-                  createNode(parent, v, hooks, ns, getNextSibling(old, start + 1, nextSibling));
-                else if (v == null)
-                  removeNode(parent, o);
-                else
-                  updateNode(parent, o, v, hooks, getNextSibling(old, start + 1, nextSibling), ns);
-              }
-              if (old.length > commonLength)
-                removeNodes(parent, old, start, old.length);
-              if (vnodes.length > commonLength)
-                createNodes(parent, vnodes, start, vnodes.length, hooks, nextSibling, ns);
-            } else {
-              var oldEnd = old.length - 1, end = vnodes.length - 1, map, o, v, oe, ve, topSibling;
-              while (oldEnd >= oldStart && end >= start) {
-                oe = old[oldEnd];
-                ve = vnodes[end];
-                if (oe.key !== ve.key)
-                  break;
-                if (oe !== ve)
-                  updateNode(parent, oe, ve, hooks, nextSibling, ns);
-                if (ve.dom != null)
-                  nextSibling = ve.dom;
-                oldEnd--, end--;
-              }
-              while (oldEnd >= oldStart && end >= start) {
-                o = old[oldStart];
-                v = vnodes[start];
-                if (o.key !== v.key)
-                  break;
-                oldStart++, start++;
-                if (o !== v)
-                  updateNode(parent, o, v, hooks, getNextSibling(old, oldStart, nextSibling), ns);
-              }
-              while (oldEnd >= oldStart && end >= start) {
-                if (start === end)
-                  break;
-                if (o.key !== ve.key || oe.key !== v.key)
-                  break;
-                topSibling = getNextSibling(old, oldStart, nextSibling);
-                moveNodes(parent, oe, topSibling);
-                if (oe !== v)
-                  updateNode(parent, oe, v, hooks, topSibling, ns);
-                if (++start <= --end)
-                  moveNodes(parent, o, nextSibling);
-                if (o !== ve)
-                  updateNode(parent, o, ve, hooks, nextSibling, ns);
-                if (ve.dom != null)
-                  nextSibling = ve.dom;
-                oldStart++;
-                oldEnd--;
-                oe = old[oldEnd];
-                ve = vnodes[end];
-                o = old[oldStart];
-                v = vnodes[start];
-              }
-              while (oldEnd >= oldStart && end >= start) {
-                if (oe.key !== ve.key)
-                  break;
-                if (oe !== ve)
-                  updateNode(parent, oe, ve, hooks, nextSibling, ns);
-                if (ve.dom != null)
-                  nextSibling = ve.dom;
-                oldEnd--, end--;
-                oe = old[oldEnd];
-                ve = vnodes[end];
-              }
-              if (start > end)
-                removeNodes(parent, old, oldStart, oldEnd + 1);
-              else if (oldStart > oldEnd)
-                createNodes(parent, vnodes, start, end + 1, hooks, nextSibling, ns);
-              else {
-                var originalNextSibling = nextSibling, vnodesLength = end - start + 1, oldIndices = new Array(vnodesLength), li = 0, i = 0, pos = 2147483647, matched = 0, map, lisIndices;
-                for (i = 0; i < vnodesLength; i++)
-                  oldIndices[i] = -1;
-                for (i = end; i >= start; i--) {
-                  if (map == null)
-                    map = getKeyMap(old, oldStart, oldEnd + 1);
-                  ve = vnodes[i];
-                  var oldIndex = map[ve.key];
-                  if (oldIndex != null) {
-                    pos = oldIndex < pos ? oldIndex : -1;
-                    oldIndices[i - start] = oldIndex;
-                    oe = old[oldIndex];
-                    old[oldIndex] = null;
-                    if (oe !== ve)
-                      updateNode(parent, oe, ve, hooks, nextSibling, ns);
-                    if (ve.dom != null)
-                      nextSibling = ve.dom;
-                    matched++;
-                  }
-                }
-                nextSibling = originalNextSibling;
-                if (matched !== oldEnd - oldStart + 1)
-                  removeNodes(parent, old, oldStart, oldEnd + 1);
-                if (matched === 0)
-                  createNodes(parent, vnodes, start, end + 1, hooks, nextSibling, ns);
-                else {
-                  if (pos === -1) {
-                    lisIndices = makeLisIndices(oldIndices);
-                    li = lisIndices.length - 1;
-                    for (i = end; i >= start; i--) {
-                      v = vnodes[i];
-                      if (oldIndices[i - start] === -1)
-                        createNode(parent, v, hooks, ns, nextSibling);
-                      else {
-                        if (lisIndices[li] === i - start)
-                          li--;
-                        else
-                          moveNodes(parent, v, nextSibling);
-                      }
-                      if (v.dom != null)
-                        nextSibling = vnodes[i].dom;
-                    }
-                  } else {
-                    for (i = end; i >= start; i--) {
-                      v = vnodes[i];
-                      if (oldIndices[i - start] === -1)
-                        createNode(parent, v, hooks, ns, nextSibling);
-                      if (v.dom != null)
-                        nextSibling = vnodes[i].dom;
-                    }
-                  }
-                }
-              }
-            }
-          }
-        }
-        function updateNode(parent, old, vnode, hooks, nextSibling, ns) {
-          var oldTag = old.tag, tag = vnode.tag;
-          if (oldTag === tag) {
-            vnode.state = old.state;
-            vnode.events = old.events;
-            if (shouldNotUpdate(vnode, old))
-              return;
-            if (typeof oldTag === "string") {
-              if (vnode.attrs != null) {
-                updateLifecycle(vnode.attrs, vnode, hooks);
-              }
-              switch (oldTag) {
-                case "#":
-                  updateText(old, vnode);
-                  break;
-                case "<":
-                  updateHTML(parent, old, vnode, ns, nextSibling);
-                  break;
-                case "[":
-                  updateFragment(parent, old, vnode, hooks, nextSibling, ns);
-                  break;
-                default:
-                  updateElement(old, vnode, hooks, ns);
-              }
-            } else
-              updateComponent(parent, old, vnode, hooks, nextSibling, ns);
-          } else {
-            removeNode(parent, old);
-            createNode(parent, vnode, hooks, ns, nextSibling);
-          }
-        }
-        function updateText(old, vnode) {
-          if (old.children.toString() !== vnode.children.toString()) {
-            old.dom.nodeValue = vnode.children;
-          }
-          vnode.dom = old.dom;
-        }
-        function updateHTML(parent, old, vnode, ns, nextSibling) {
-          if (old.children !== vnode.children) {
-            removeHTML(parent, old);
-            createHTML(parent, vnode, ns, nextSibling);
-          } else {
-            vnode.dom = old.dom;
-            vnode.domSize = old.domSize;
-            vnode.instance = old.instance;
-          }
-        }
-        function updateFragment(parent, old, vnode, hooks, nextSibling, ns) {
-          updateNodes(parent, old.children, vnode.children, hooks, nextSibling, ns);
-          var domSize = 0, children = vnode.children;
-          vnode.dom = null;
-          if (children != null) {
-            for (var i = 0; i < children.length; i++) {
-              var child = children[i];
-              if (child != null && child.dom != null) {
-                if (vnode.dom == null)
-                  vnode.dom = child.dom;
-                domSize += child.domSize || 1;
-              }
-            }
-            if (domSize !== 1)
-              vnode.domSize = domSize;
-          }
-        }
-        function updateElement(old, vnode, hooks, ns) {
-          var element = vnode.dom = old.dom;
-          ns = getNameSpace(vnode) || ns;
-          if (vnode.tag === "textarea") {
-            if (vnode.attrs == null)
-              vnode.attrs = {};
-          }
-          updateAttrs(vnode, old.attrs, vnode.attrs, ns);
-          if (!maybeSetContentEditable(vnode)) {
-            updateNodes(element, old.children, vnode.children, hooks, null, ns);
-          }
-        }
-        function updateComponent(parent, old, vnode, hooks, nextSibling, ns) {
-          vnode.instance = Vnode.normalize(callHook.call(vnode.state.view, vnode));
-          if (vnode.instance === vnode)
-            throw Error("A view cannot return the vnode it received as argument");
-          updateLifecycle(vnode.state, vnode, hooks);
-          if (vnode.attrs != null)
-            updateLifecycle(vnode.attrs, vnode, hooks);
-          if (vnode.instance != null) {
-            if (old.instance == null)
-              createNode(parent, vnode.instance, hooks, ns, nextSibling);
-            else
-              updateNode(parent, old.instance, vnode.instance, hooks, nextSibling, ns);
-            vnode.dom = vnode.instance.dom;
-            vnode.domSize = vnode.instance.domSize;
-          } else if (old.instance != null) {
-            removeNode(parent, old.instance);
-            vnode.dom = void 0;
-            vnode.domSize = 0;
-          } else {
-            vnode.dom = old.dom;
-            vnode.domSize = old.domSize;
-          }
-        }
-        function getKeyMap(vnodes, start, end) {
-          var map = /* @__PURE__ */ Object.create(null);
-          for (; start < end; start++) {
-            var vnode = vnodes[start];
-            if (vnode != null) {
-              var key = vnode.key;
-              if (key != null)
-                map[key] = start;
-            }
-          }
-          return map;
-        }
-        var lisTemp = [];
-        function makeLisIndices(a) {
-          var result = [0];
-          var u = 0, v = 0, i = 0;
-          var il = lisTemp.length = a.length;
-          for (var i = 0; i < il; i++)
-            lisTemp[i] = a[i];
-          for (var i = 0; i < il; ++i) {
-            if (a[i] === -1)
-              continue;
-            var j = result[result.length - 1];
-            if (a[j] < a[i]) {
-              lisTemp[i] = j;
-              result.push(i);
-              continue;
-            }
-            u = 0;
-            v = result.length - 1;
-            while (u < v) {
-              var c = (u >>> 1) + (v >>> 1) + (u & v & 1);
-              if (a[result[c]] < a[i]) {
-                u = c + 1;
-              } else {
-                v = c;
-              }
-            }
-            if (a[i] < a[result[u]]) {
-              if (u > 0)
-                lisTemp[i] = result[u - 1];
-              result[u] = i;
-            }
-          }
-          u = result.length;
-          v = result[u - 1];
-          while (u-- > 0) {
-            result[u] = v;
-            v = lisTemp[v];
-          }
-          lisTemp.length = 0;
-          return result;
-        }
-        function getNextSibling(vnodes, i, nextSibling) {
-          for (; i < vnodes.length; i++) {
-            if (vnodes[i] != null && vnodes[i].dom != null)
-              return vnodes[i].dom;
-          }
-          return nextSibling;
-        }
-        function moveNodes(parent, vnode, nextSibling) {
-          var frag = $doc.createDocumentFragment();
-          moveChildToFrag(parent, frag, vnode);
-          insertNode(parent, frag, nextSibling);
-        }
-        function moveChildToFrag(parent, frag, vnode) {
-          while (vnode.dom != null && vnode.dom.parentNode === parent) {
-            if (typeof vnode.tag !== "string") {
-              vnode = vnode.instance;
-              if (vnode != null)
-                continue;
-            } else if (vnode.tag === "<") {
-              for (var i = 0; i < vnode.instance.length; i++) {
-                frag.appendChild(vnode.instance[i]);
-              }
-            } else if (vnode.tag !== "[") {
-              frag.appendChild(vnode.dom);
-            } else if (vnode.children.length === 1) {
-              vnode = vnode.children[0];
-              if (vnode != null)
-                continue;
-            } else {
-              for (var i = 0; i < vnode.children.length; i++) {
-                var child = vnode.children[i];
-                if (child != null)
-                  moveChildToFrag(parent, frag, child);
-              }
-            }
-            break;
-          }
-        }
-        function insertNode(parent, dom, nextSibling) {
-          if (nextSibling != null)
-            parent.insertBefore(dom, nextSibling);
-          else
-            parent.appendChild(dom);
-        }
-        function maybeSetContentEditable(vnode) {
-          if (vnode.attrs == null || vnode.attrs.contenteditable == null && // attribute
-          vnode.attrs.contentEditable == null)
-            return false;
-          var children = vnode.children;
-          if (children != null && children.length === 1 && children[0].tag === "<") {
-            var content = children[0].children;
-            if (vnode.dom.innerHTML !== content)
-              vnode.dom.innerHTML = content;
-          } else if (children != null && children.length !== 0)
-            throw new Error("Child node of a contenteditable must be trusted.");
-          return true;
-        }
-        function removeNodes(parent, vnodes, start, end) {
-          for (var i = start; i < end; i++) {
-            var vnode = vnodes[i];
-            if (vnode != null)
-              removeNode(parent, vnode);
-          }
-        }
-        function removeNode(parent, vnode) {
-          var mask = 0;
-          var original = vnode.state;
-          var stateResult, attrsResult;
-          if (typeof vnode.tag !== "string" && typeof vnode.state.onbeforeremove === "function") {
-            var result = callHook.call(vnode.state.onbeforeremove, vnode);
-            if (result != null && typeof result.then === "function") {
-              mask = 1;
-              stateResult = result;
-            }
-          }
-          if (vnode.attrs && typeof vnode.attrs.onbeforeremove === "function") {
-            var result = callHook.call(vnode.attrs.onbeforeremove, vnode);
-            if (result != null && typeof result.then === "function") {
-              mask |= 2;
-              attrsResult = result;
-            }
-          }
-          checkState(vnode, original);
-          if (!mask) {
-            onremove(vnode);
-            removeChild(parent, vnode);
-          } else {
-            if (stateResult != null) {
-              var next = function() {
-                if (mask & 1) {
-                  mask &= 2;
-                  if (!mask)
-                    reallyRemove();
-                }
-              };
-              stateResult.then(next, next);
-            }
-            if (attrsResult != null) {
-              var next = function() {
-                if (mask & 2) {
-                  mask &= 1;
-                  if (!mask)
-                    reallyRemove();
-                }
-              };
-              attrsResult.then(next, next);
-            }
-          }
-          function reallyRemove() {
-            checkState(vnode, original);
-            onremove(vnode);
-            removeChild(parent, vnode);
-          }
-        }
-        function removeHTML(parent, vnode) {
-          for (var i = 0; i < vnode.instance.length; i++) {
-            parent.removeChild(vnode.instance[i]);
-          }
-        }
-        function removeChild(parent, vnode) {
-          while (vnode.dom != null && vnode.dom.parentNode === parent) {
-            if (typeof vnode.tag !== "string") {
-              vnode = vnode.instance;
-              if (vnode != null)
-                continue;
-            } else if (vnode.tag === "<") {
-              removeHTML(parent, vnode);
-            } else {
-              if (vnode.tag !== "[") {
-                parent.removeChild(vnode.dom);
-                if (!Array.isArray(vnode.children))
-                  break;
-              }
-              if (vnode.children.length === 1) {
-                vnode = vnode.children[0];
-                if (vnode != null)
-                  continue;
-              } else {
-                for (var i = 0; i < vnode.children.length; i++) {
-                  var child = vnode.children[i];
-                  if (child != null)
-                    removeChild(parent, child);
-                }
-              }
-            }
-            break;
-          }
-        }
-        function onremove(vnode) {
-          if (typeof vnode.tag !== "string" && typeof vnode.state.onremove === "function")
-            callHook.call(vnode.state.onremove, vnode);
-          if (vnode.attrs && typeof vnode.attrs.onremove === "function")
-            callHook.call(vnode.attrs.onremove, vnode);
-          if (typeof vnode.tag !== "string") {
-            if (vnode.instance != null)
-              onremove(vnode.instance);
-          } else {
-            var children = vnode.children;
-            if (Array.isArray(children)) {
-              for (var i = 0; i < children.length; i++) {
-                var child = children[i];
-                if (child != null)
-                  onremove(child);
-              }
-            }
-          }
-        }
-        function setAttrs(vnode, attrs, ns) {
-          if (vnode.tag === "input" && attrs.type != null)
-            vnode.dom.setAttribute("type", attrs.type);
-          var isFileInput = attrs != null && vnode.tag === "input" && attrs.type === "file";
-          for (var key in attrs) {
-            setAttr(vnode, key, null, attrs[key], ns, isFileInput);
-          }
-        }
-        function setAttr(vnode, key, old, value, ns, isFileInput) {
-          if (key === "key" || key === "is" || value == null || isLifecycleMethod(key) || old === value && !isFormAttribute(vnode, key) && typeof value !== "object" || key === "type" && vnode.tag === "input")
-            return;
-          if (key[0] === "o" && key[1] === "n")
-            return updateEvent(vnode, key, value);
-          if (key.slice(0, 6) === "xlink:")
-            vnode.dom.setAttributeNS("http://www.w3.org/1999/xlink", key.slice(6), value);
-          else if (key === "style")
-            updateStyle(vnode.dom, old, value);
-          else if (hasPropertyKey(vnode, key, ns)) {
-            if (key === "value") {
-              if ((vnode.tag === "input" || vnode.tag === "textarea") && vnode.dom.value === "" + value && (isFileInput || vnode.dom === activeElement()))
-                return;
-              if (vnode.tag === "select" && old !== null && vnode.dom.value === "" + value)
-                return;
-              if (vnode.tag === "option" && old !== null && vnode.dom.value === "" + value)
-                return;
-              if (isFileInput && "" + value !== "") {
-                console.error("`value` is read-only on file inputs!");
-                return;
-              }
-            }
-            vnode.dom[key] = value;
-          } else {
-            if (typeof value === "boolean") {
-              if (value)
-                vnode.dom.setAttribute(key, "");
-              else
-                vnode.dom.removeAttribute(key);
-            } else
-              vnode.dom.setAttribute(key === "className" ? "class" : key, value);
-          }
-        }
-        function removeAttr(vnode, key, old, ns) {
-          if (key === "key" || key === "is" || old == null || isLifecycleMethod(key))
-            return;
-          if (key[0] === "o" && key[1] === "n")
-            updateEvent(vnode, key, void 0);
-          else if (key === "style")
-            updateStyle(vnode.dom, old, null);
-          else if (hasPropertyKey(vnode, key, ns) && key !== "className" && key !== "title" && !(key === "value" && (vnode.tag === "option" || vnode.tag === "select" && vnode.dom.selectedIndex === -1 && vnode.dom === activeElement())) && !(vnode.tag === "input" && key === "type")) {
-            vnode.dom[key] = null;
-          } else {
-            var nsLastIndex = key.indexOf(":");
-            if (nsLastIndex !== -1)
-              key = key.slice(nsLastIndex + 1);
-            if (old !== false)
-              vnode.dom.removeAttribute(key === "className" ? "class" : key);
-          }
-        }
-        function setLateSelectAttrs(vnode, attrs) {
-          if ("value" in attrs) {
-            if (attrs.value === null) {
-              if (vnode.dom.selectedIndex !== -1)
-                vnode.dom.value = null;
-            } else {
-              var normalized = "" + attrs.value;
-              if (vnode.dom.value !== normalized || vnode.dom.selectedIndex === -1) {
-                vnode.dom.value = normalized;
-              }
-            }
-          }
-          if ("selectedIndex" in attrs)
-            setAttr(vnode, "selectedIndex", null, attrs.selectedIndex, void 0);
-        }
-        function updateAttrs(vnode, old, attrs, ns) {
-          if (old && old === attrs) {
-            console.warn("Don't reuse attrs object, use new object for every redraw, this will throw in next major");
-          }
-          if (attrs != null) {
-            if (vnode.tag === "input" && attrs.type != null)
-              vnode.dom.setAttribute("type", attrs.type);
-            var isFileInput = vnode.tag === "input" && attrs.type === "file";
-            for (var key in attrs) {
-              setAttr(vnode, key, old && old[key], attrs[key], ns, isFileInput);
-            }
-          }
-          var val;
-          if (old != null) {
-            for (var key in old) {
-              if ((val = old[key]) != null && (attrs == null || attrs[key] == null)) {
-                removeAttr(vnode, key, val, ns);
-              }
-            }
-          }
-        }
-        function isFormAttribute(vnode, attr) {
-          return attr === "value" || attr === "checked" || attr === "selectedIndex" || attr === "selected" && vnode.dom === activeElement() || vnode.tag === "option" && vnode.dom.parentNode === $doc.activeElement;
-        }
-        function isLifecycleMethod(attr) {
-          return attr === "oninit" || attr === "oncreate" || attr === "onupdate" || attr === "onremove" || attr === "onbeforeremove" || attr === "onbeforeupdate";
-        }
-        function hasPropertyKey(vnode, key, ns) {
-          return ns === void 0 && // If it's a custom element, just keep it.
-          (vnode.tag.indexOf("-") > -1 || vnode.attrs != null && vnode.attrs.is || // If it's a normal element, let's try to avoid a few browser bugs.
-          key !== "href" && key !== "list" && key !== "form" && key !== "width" && key !== "height") && key in vnode.dom;
-        }
-        var uppercaseRegex = /[A-Z]/g;
-        function toLowerCase(capital) {
-          return "-" + capital.toLowerCase();
-        }
-        function normalizeKey(key) {
-          return key[0] === "-" && key[1] === "-" ? key : key === "cssFloat" ? "float" : key.replace(uppercaseRegex, toLowerCase);
-        }
-        function updateStyle(element, old, style) {
-          if (old === style) {
-          } else if (style == null) {
-            element.style.cssText = "";
-          } else if (typeof style !== "object") {
-            element.style.cssText = style;
-          } else if (old == null || typeof old !== "object") {
-            element.style.cssText = "";
-            for (var key in style) {
-              var value = style[key];
-              if (value != null)
-                element.style.setProperty(normalizeKey(key), String(value));
-            }
-          } else {
-            for (var key in style) {
-              var value = style[key];
-              if (value != null && (value = String(value)) !== String(old[key])) {
-                element.style.setProperty(normalizeKey(key), value);
-              }
-            }
-            for (var key in old) {
-              if (old[key] != null && style[key] == null) {
-                element.style.removeProperty(normalizeKey(key));
-              }
-            }
-          }
-        }
-        function EventDict() {
-          this._ = currentRedraw;
-        }
-        EventDict.prototype = /* @__PURE__ */ Object.create(null);
-        EventDict.prototype.handleEvent = function(ev) {
-          var handler = this["on" + ev.type];
-          var result;
-          if (typeof handler === "function")
-            result = handler.call(ev.currentTarget, ev);
-          else if (typeof handler.handleEvent === "function")
-            handler.handleEvent(ev);
-          if (this._ && ev.redraw !== false)
-            (0, this._)();
-          if (result === false) {
-            ev.preventDefault();
-            ev.stopPropagation();
-          }
-        };
-        function updateEvent(vnode, key, value) {
-          if (vnode.events != null) {
-            vnode.events._ = currentRedraw;
-            if (vnode.events[key] === value)
-              return;
-            if (value != null && (typeof value === "function" || typeof value === "object")) {
-              if (vnode.events[key] == null)
-                vnode.dom.addEventListener(key.slice(2), vnode.events, false);
-              vnode.events[key] = value;
-            } else {
-              if (vnode.events[key] != null)
-                vnode.dom.removeEventListener(key.slice(2), vnode.events, false);
-              vnode.events[key] = void 0;
-            }
-          } else if (value != null && (typeof value === "function" || typeof value === "object")) {
-            vnode.events = new EventDict();
-            vnode.dom.addEventListener(key.slice(2), vnode.events, false);
-            vnode.events[key] = value;
-          }
-        }
-        function initLifecycle(source, vnode, hooks) {
-          if (typeof source.oninit === "function")
-            callHook.call(source.oninit, vnode);
-          if (typeof source.oncreate === "function")
-            hooks.push(callHook.bind(source.oncreate, vnode));
-        }
-        function updateLifecycle(source, vnode, hooks) {
-          if (typeof source.onupdate === "function")
-            hooks.push(callHook.bind(source.onupdate, vnode));
-        }
-        function shouldNotUpdate(vnode, old) {
-          do {
-            if (vnode.attrs != null && typeof vnode.attrs.onbeforeupdate === "function") {
-              var force = callHook.call(vnode.attrs.onbeforeupdate, vnode, old);
-              if (force !== void 0 && !force)
-                break;
-            }
-            if (typeof vnode.tag !== "string" && typeof vnode.state.onbeforeupdate === "function") {
-              var force = callHook.call(vnode.state.onbeforeupdate, vnode, old);
-              if (force !== void 0 && !force)
-                break;
-            }
-            return false;
-          } while (false);
-          vnode.dom = old.dom;
-          vnode.domSize = old.domSize;
-          vnode.instance = old.instance;
-          vnode.attrs = old.attrs;
-          vnode.children = old.children;
-          vnode.text = old.text;
-          return true;
-        }
-        var currentDOM;
-        return function(dom, vnodes, redraw) {
-          if (!dom)
-            throw new TypeError("DOM element being rendered to does not exist.");
-          if (currentDOM != null && dom.contains(currentDOM)) {
-            throw new TypeError("Node is currently being rendered to and thus is locked.");
-          }
-          var prevRedraw = currentRedraw;
-          var prevDOM = currentDOM;
-          var hooks = [];
-          var active = activeElement();
-          var namespace = dom.namespaceURI;
-          currentDOM = dom;
-          currentRedraw = typeof redraw === "function" ? redraw : void 0;
-          try {
-            if (dom.vnodes == null)
-              dom.textContent = "";
-            vnodes = Vnode.normalizeChildren(Array.isArray(vnodes) ? vnodes : [vnodes]);
-            updateNodes(dom, dom.vnodes, vnodes, hooks, null, namespace === "http://www.w3.org/1999/xhtml" ? void 0 : namespace);
-            dom.vnodes = vnodes;
-            if (active != null && activeElement() !== active && typeof active.focus === "function")
-              active.focus();
-            for (var i = 0; i < hooks.length; i++)
-              hooks[i]();
-          } finally {
-            currentRedraw = prevRedraw;
-            currentDOM = prevDOM;
-          }
-        };
-      };
-    }
-  });
-
-  // node_modules/mithril/render.js
-  var require_render2 = __commonJS({
-    "node_modules/mithril/render.js"(exports, module) {
-      "use strict";
-      module.exports = require_render()(typeof window !== "undefined" ? window : null);
-    }
-  });
-
-  // node_modules/mithril/api/mount-redraw.js
-  var require_mount_redraw = __commonJS({
-    "node_modules/mithril/api/mount-redraw.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      module.exports = function(render2, schedule, console2) {
-        var subscriptions = [];
-        var pending = false;
-        var offset = -1;
-        function sync() {
-          for (offset = 0; offset < subscriptions.length; offset += 2) {
-            try {
-              render2(subscriptions[offset], Vnode(subscriptions[offset + 1]), redraw);
-            } catch (e) {
-              console2.error(e);
-            }
-          }
-          offset = -1;
-        }
-        function redraw() {
-          if (!pending) {
-            pending = true;
-            schedule(function() {
-              pending = false;
-              sync();
-            });
-          }
-        }
-        redraw.sync = sync;
-        function mount(root, component) {
-          if (component != null && component.view == null && typeof component !== "function") {
-            throw new TypeError("m.mount expects a component, not a vnode.");
-          }
-          var index = subscriptions.indexOf(root);
-          if (index >= 0) {
-            subscriptions.splice(index, 2);
-            if (index <= offset)
-              offset -= 2;
-            render2(root, []);
-          }
-          if (component != null) {
-            subscriptions.push(root, component);
-            render2(root, Vnode(component), redraw);
-          }
-        }
-        return { mount, redraw };
-      };
-    }
-  });
-
-  // node_modules/mithril/mount-redraw.js
-  var require_mount_redraw2 = __commonJS({
-    "node_modules/mithril/mount-redraw.js"(exports, module) {
-      "use strict";
-      var render2 = require_render2();
-      module.exports = require_mount_redraw()(render2, typeof requestAnimationFrame !== "undefined" ? requestAnimationFrame : null, typeof console !== "undefined" ? console : null);
-    }
-  });
-
-  // node_modules/mithril/querystring/build.js
-  var require_build = __commonJS({
-    "node_modules/mithril/querystring/build.js"(exports, module) {
-      "use strict";
-      module.exports = function(object) {
-        if (Object.prototype.toString.call(object) !== "[object Object]")
-          return "";
-        var args = [];
-        for (var key in object) {
-          destructure(key, object[key]);
-        }
-        return args.join("&");
-        function destructure(key2, value) {
-          if (Array.isArray(value)) {
-            for (var i = 0; i < value.length; i++) {
-              destructure(key2 + "[" + i + "]", value[i]);
-            }
-          } else if (Object.prototype.toString.call(value) === "[object Object]") {
-            for (var i in value) {
-              destructure(key2 + "[" + i + "]", value[i]);
-            }
-          } else
-            args.push(encodeURIComponent(key2) + (value != null && value !== "" ? "=" + encodeURIComponent(value) : ""));
-        }
-      };
-    }
-  });
-
-  // node_modules/mithril/util/assign.js
-  var require_assign = __commonJS({
-    "node_modules/mithril/util/assign.js"(exports, module) {
-      "use strict";
-      var hasOwn = require_hasOwn();
-      module.exports = Object.assign || function(target, source) {
-        for (var key in source) {
-          if (hasOwn.call(source, key))
-            target[key] = source[key];
-        }
-      };
-    }
-  });
-
-  // node_modules/mithril/pathname/build.js
-  var require_build2 = __commonJS({
-    "node_modules/mithril/pathname/build.js"(exports, module) {
-      "use strict";
-      var buildQueryString = require_build();
-      var assign = require_assign();
-      module.exports = function(template, params) {
-        if (/:([^\/\.-]+)(\.{3})?:/.test(template)) {
-          throw new SyntaxError("Template parameter names must be separated by either a '/', '-', or '.'.");
-        }
-        if (params == null)
-          return template;
-        var queryIndex = template.indexOf("?");
-        var hashIndex = template.indexOf("#");
-        var queryEnd = hashIndex < 0 ? template.length : hashIndex;
-        var pathEnd = queryIndex < 0 ? queryEnd : queryIndex;
-        var path = template.slice(0, pathEnd);
-        var query = {};
-        assign(query, params);
-        var resolved = path.replace(/:([^\/\.-]+)(\.{3})?/g, function(m2, key, variadic) {
-          delete query[key];
-          if (params[key] == null)
-            return m2;
-          return variadic ? params[key] : encodeURIComponent(String(params[key]));
-        });
-        var newQueryIndex = resolved.indexOf("?");
-        var newHashIndex = resolved.indexOf("#");
-        var newQueryEnd = newHashIndex < 0 ? resolved.length : newHashIndex;
-        var newPathEnd = newQueryIndex < 0 ? newQueryEnd : newQueryIndex;
-        var result = resolved.slice(0, newPathEnd);
-        if (queryIndex >= 0)
-          result += template.slice(queryIndex, queryEnd);
-        if (newQueryIndex >= 0)
-          result += (queryIndex < 0 ? "?" : "&") + resolved.slice(newQueryIndex, newQueryEnd);
-        var querystring = buildQueryString(query);
-        if (querystring)
-          result += (queryIndex < 0 && newQueryIndex < 0 ? "?" : "&") + querystring;
-        if (hashIndex >= 0)
-          result += template.slice(hashIndex);
-        if (newHashIndex >= 0)
-          result += (hashIndex < 0 ? "" : "&") + resolved.slice(newHashIndex);
-        return result;
-      };
-    }
-  });
-
-  // node_modules/mithril/request/request.js
-  var require_request = __commonJS({
-    "node_modules/mithril/request/request.js"(exports, module) {
-      "use strict";
-      var buildPathname = require_build2();
-      var hasOwn = require_hasOwn();
-      module.exports = function($window, Promise2, oncompletion) {
-        var callbackCount = 0;
-        function PromiseProxy(executor) {
-          return new Promise2(executor);
-        }
-        PromiseProxy.prototype = Promise2.prototype;
-        PromiseProxy.__proto__ = Promise2;
-        function makeRequest(factory) {
-          return function(url, args) {
-            if (typeof url !== "string") {
-              args = url;
-              url = url.url;
-            } else if (args == null)
-              args = {};
-            var promise = new Promise2(function(resolve, reject) {
-              factory(buildPathname(url, args.params), args, function(data) {
-                if (typeof args.type === "function") {
-                  if (Array.isArray(data)) {
-                    for (var i = 0; i < data.length; i++) {
-                      data[i] = new args.type(data[i]);
-                    }
-                  } else
-                    data = new args.type(data);
-                }
-                resolve(data);
-              }, reject);
-            });
-            if (args.background === true)
-              return promise;
-            var count = 0;
-            function complete() {
-              if (--count === 0 && typeof oncompletion === "function")
-                oncompletion();
-            }
-            return wrap(promise);
-            function wrap(promise2) {
-              var then = promise2.then;
-              promise2.constructor = PromiseProxy;
-              promise2.then = function() {
-                count++;
-                var next = then.apply(promise2, arguments);
-                next.then(complete, function(e) {
-                  complete();
-                  if (count === 0)
-                    throw e;
-                });
-                return wrap(next);
-              };
-              return promise2;
-            }
-          };
-        }
-        function hasHeader(args, name) {
-          for (var key in args.headers) {
-            if (hasOwn.call(args.headers, key) && key.toLowerCase() === name)
-              return true;
-          }
-          return false;
-        }
-        return {
-          request: makeRequest(function(url, args, resolve, reject) {
-            var method = args.method != null ? args.method.toUpperCase() : "GET";
-            var body = args.body;
-            var assumeJSON = (args.serialize == null || args.serialize === JSON.serialize) && !(body instanceof $window.FormData || body instanceof $window.URLSearchParams);
-            var responseType = args.responseType || (typeof args.extract === "function" ? "" : "json");
-            var xhr = new $window.XMLHttpRequest(), aborted = false, isTimeout = false;
-            var original = xhr, replacedAbort;
-            var abort = xhr.abort;
-            xhr.abort = function() {
-              aborted = true;
-              abort.call(this);
-            };
-            xhr.open(method, url, args.async !== false, typeof args.user === "string" ? args.user : void 0, typeof args.password === "string" ? args.password : void 0);
-            if (assumeJSON && body != null && !hasHeader(args, "content-type")) {
-              xhr.setRequestHeader("Content-Type", "application/json; charset=utf-8");
-            }
-            if (typeof args.deserialize !== "function" && !hasHeader(args, "accept")) {
-              xhr.setRequestHeader("Accept", "application/json, text/*");
-            }
-            if (args.withCredentials)
-              xhr.withCredentials = args.withCredentials;
-            if (args.timeout)
-              xhr.timeout = args.timeout;
-            xhr.responseType = responseType;
-            for (var key in args.headers) {
-              if (hasOwn.call(args.headers, key)) {
-                xhr.setRequestHeader(key, args.headers[key]);
-              }
-            }
-            xhr.onreadystatechange = function(ev) {
-              if (aborted)
-                return;
-              if (ev.target.readyState === 4) {
-                try {
-                  var success = ev.target.status >= 200 && ev.target.status < 300 || ev.target.status === 304 || /^file:\/\//i.test(url);
-                  var response = ev.target.response, message;
-                  if (responseType === "json") {
-                    if (!ev.target.responseType && typeof args.extract !== "function") {
-                      try {
-                        response = JSON.parse(ev.target.responseText);
-                      } catch (e) {
-                        response = null;
-                      }
-                    }
-                  } else if (!responseType || responseType === "text") {
-                    if (response == null)
-                      response = ev.target.responseText;
-                  }
-                  if (typeof args.extract === "function") {
-                    response = args.extract(ev.target, args);
-                    success = true;
-                  } else if (typeof args.deserialize === "function") {
-                    response = args.deserialize(response);
-                  }
-                  if (success)
-                    resolve(response);
-                  else {
-                    var completeErrorResponse = function() {
-                      try {
-                        message = ev.target.responseText;
-                      } catch (e) {
-                        message = response;
-                      }
-                      var error = new Error(message);
-                      error.code = ev.target.status;
-                      error.response = response;
-                      reject(error);
-                    };
-                    if (xhr.status === 0) {
-                      setTimeout(function() {
-                        if (isTimeout)
-                          return;
-                        completeErrorResponse();
-                      });
-                    } else
-                      completeErrorResponse();
-                  }
-                } catch (e) {
-                  reject(e);
-                }
-              }
-            };
-            xhr.ontimeout = function(ev) {
-              isTimeout = true;
-              var error = new Error("Request timed out");
-              error.code = ev.target.status;
-              reject(error);
-            };
-            if (typeof args.config === "function") {
-              xhr = args.config(xhr, args, url) || xhr;
-              if (xhr !== original) {
-                replacedAbort = xhr.abort;
-                xhr.abort = function() {
-                  aborted = true;
-                  replacedAbort.call(this);
-                };
-              }
-            }
-            if (body == null)
-              xhr.send();
-            else if (typeof args.serialize === "function")
-              xhr.send(args.serialize(body));
-            else if (body instanceof $window.FormData || body instanceof $window.URLSearchParams)
-              xhr.send(body);
-            else
-              xhr.send(JSON.stringify(body));
-          }),
-          jsonp: makeRequest(function(url, args, resolve, reject) {
-            var callbackName = args.callbackName || "_mithril_" + Math.round(Math.random() * 1e16) + "_" + callbackCount++;
-            var script = $window.document.createElement("script");
-            $window[callbackName] = function(data) {
-              delete $window[callbackName];
-              script.parentNode.removeChild(script);
-              resolve(data);
-            };
-            script.onerror = function() {
-              delete $window[callbackName];
-              script.parentNode.removeChild(script);
-              reject(new Error("JSONP request failed"));
-            };
-            script.src = url + (url.indexOf("?") < 0 ? "?" : "&") + encodeURIComponent(args.callbackKey || "callback") + "=" + encodeURIComponent(callbackName);
-            $window.document.documentElement.appendChild(script);
-          })
-        };
-      };
-    }
-  });
-
-  // node_modules/mithril/request.js
-  var require_request2 = __commonJS({
-    "node_modules/mithril/request.js"(exports, module) {
-      "use strict";
-      var PromisePolyfill = require_promise();
-      var mountRedraw = require_mount_redraw2();
-      module.exports = require_request()(typeof window !== "undefined" ? window : null, PromisePolyfill, mountRedraw.redraw);
-    }
-  });
-
-  // node_modules/mithril/querystring/parse.js
-  var require_parse = __commonJS({
-    "node_modules/mithril/querystring/parse.js"(exports, module) {
-      "use strict";
-      function decodeURIComponentSave(str) {
-        try {
-          return decodeURIComponent(str);
-        } catch (err) {
-          return str;
-        }
-      }
-      module.exports = function(string) {
-        if (string === "" || string == null)
-          return {};
-        if (string.charAt(0) === "?")
-          string = string.slice(1);
-        var entries = string.split("&"), counters = {}, data = {};
-        for (var i = 0; i < entries.length; i++) {
-          var entry = entries[i].split("=");
-          var key = decodeURIComponentSave(entry[0]);
-          var value = entry.length === 2 ? decodeURIComponentSave(entry[1]) : "";
-          if (value === "true")
-            value = true;
-          else if (value === "false")
-            value = false;
-          var levels = key.split(/\]\[?|\[/);
-          var cursor = data;
-          if (key.indexOf("[") > -1)
-            levels.pop();
-          for (var j = 0; j < levels.length; j++) {
-            var level = levels[j], nextLevel = levels[j + 1];
-            var isNumber = nextLevel == "" || !isNaN(parseInt(nextLevel, 10));
-            if (level === "") {
-              var key = levels.slice(0, j).join();
-              if (counters[key] == null) {
-                counters[key] = Array.isArray(cursor) ? cursor.length : 0;
-              }
-              level = counters[key]++;
-            } else if (level === "__proto__")
-              break;
-            if (j === levels.length - 1)
-              cursor[level] = value;
-            else {
-              var desc = Object.getOwnPropertyDescriptor(cursor, level);
-              if (desc != null)
-                desc = desc.value;
-              if (desc == null)
-                cursor[level] = desc = isNumber ? [] : {};
-              cursor = desc;
-            }
-          }
-        }
-        return data;
-      };
-    }
-  });
-
-  // node_modules/mithril/pathname/parse.js
-  var require_parse2 = __commonJS({
-    "node_modules/mithril/pathname/parse.js"(exports, module) {
-      "use strict";
-      var parseQueryString = require_parse();
-      module.exports = function(url) {
-        var queryIndex = url.indexOf("?");
-        var hashIndex = url.indexOf("#");
-        var queryEnd = hashIndex < 0 ? url.length : hashIndex;
-        var pathEnd = queryIndex < 0 ? queryEnd : queryIndex;
-        var path = url.slice(0, pathEnd).replace(/\/{2,}/g, "/");
-        if (!path)
-          path = "/";
-        else {
-          if (path[0] !== "/")
-            path = "/" + path;
-          if (path.length > 1 && path[path.length - 1] === "/")
-            path = path.slice(0, -1);
-        }
-        return {
-          path,
-          params: queryIndex < 0 ? {} : parseQueryString(url.slice(queryIndex + 1, queryEnd))
-        };
-      };
-    }
-  });
-
-  // node_modules/mithril/pathname/compileTemplate.js
-  var require_compileTemplate = __commonJS({
-    "node_modules/mithril/pathname/compileTemplate.js"(exports, module) {
-      "use strict";
-      var parsePathname = require_parse2();
-      module.exports = function(template) {
-        var templateData = parsePathname(template);
-        var templateKeys = Object.keys(templateData.params);
-        var keys = [];
-        var regexp = new RegExp("^" + templateData.path.replace(
-          // I escape literal text so people can use things like `:file.:ext` or
-          // `:lang-:locale` in routes. This is all merged into one pass so I
-          // don't also accidentally escape `-` and make it harder to detect it to
-          // ban it from template parameters.
-          /:([^\/.-]+)(\.{3}|\.(?!\.)|-)?|[\\^$*+.()|\[\]{}]/g,
-          function(m2, key, extra) {
-            if (key == null)
-              return "\\" + m2;
-            keys.push({ k: key, r: extra === "..." });
-            if (extra === "...")
-              return "(.*)";
-            if (extra === ".")
-              return "([^/]+)\\.";
-            return "([^/]+)" + (extra || "");
-          }
-        ) + "$");
-        return function(data) {
-          for (var i = 0; i < templateKeys.length; i++) {
-            if (templateData.params[templateKeys[i]] !== data.params[templateKeys[i]])
-              return false;
-          }
-          if (!keys.length)
-            return regexp.test(data.path);
-          var values = regexp.exec(data.path);
-          if (values == null)
-            return false;
-          for (var i = 0; i < keys.length; i++) {
-            data.params[keys[i].k] = keys[i].r ? values[i + 1] : decodeURIComponent(values[i + 1]);
-          }
-          return true;
-        };
-      };
-    }
-  });
-
-  // node_modules/mithril/util/censor.js
-  var require_censor = __commonJS({
-    "node_modules/mithril/util/censor.js"(exports, module) {
-      "use strict";
-      var hasOwn = require_hasOwn();
-      var magic = new RegExp("^(?:key|oninit|oncreate|onbeforeupdate|onupdate|onbeforeremove|onremove)$");
-      module.exports = function(attrs, extras) {
-        var result = {};
-        if (extras != null) {
-          for (var key in attrs) {
-            if (hasOwn.call(attrs, key) && !magic.test(key) && extras.indexOf(key) < 0) {
-              result[key] = attrs[key];
-            }
-          }
-        } else {
-          for (var key in attrs) {
-            if (hasOwn.call(attrs, key) && !magic.test(key)) {
-              result[key] = attrs[key];
-            }
-          }
-        }
-        return result;
-      };
-    }
-  });
-
-  // node_modules/mithril/api/router.js
-  var require_router = __commonJS({
-    "node_modules/mithril/api/router.js"(exports, module) {
-      "use strict";
-      var Vnode = require_vnode();
-      var m2 = require_hyperscript();
-      var Promise2 = require_promise();
-      var buildPathname = require_build2();
-      var parsePathname = require_parse2();
-      var compileTemplate = require_compileTemplate();
-      var assign = require_assign();
-      var censor = require_censor();
-      var sentinel = {};
-      function decodeURIComponentSave(component) {
-        try {
-          return decodeURIComponent(component);
-        } catch (e) {
-          return component;
-        }
-      }
-      module.exports = function($window, mountRedraw) {
-        var callAsync = $window == null ? null : typeof $window.setImmediate === "function" ? $window.setImmediate : $window.setTimeout;
-        var p = Promise2.resolve();
-        var scheduled = false;
-        var ready = false;
-        var state = 0;
-        var compiled, fallbackRoute;
-        var currentResolver = sentinel, component, attrs, currentPath, lastUpdate;
-        var RouterRoot = {
-          onbeforeupdate: function() {
-            state = state ? 2 : 1;
-            return !(!state || sentinel === currentResolver);
-          },
-          onremove: function() {
-            $window.removeEventListener("popstate", fireAsync, false);
-            $window.removeEventListener("hashchange", resolveRoute, false);
-          },
-          view: function() {
-            if (!state || sentinel === currentResolver)
-              return;
-            var vnode = [Vnode(component, attrs.key, attrs)];
-            if (currentResolver)
-              vnode = currentResolver.render(vnode[0]);
-            return vnode;
-          }
-        };
-        var SKIP = route.SKIP = {};
-        function resolveRoute() {
-          scheduled = false;
-          var prefix = $window.location.hash;
-          if (route.prefix[0] !== "#") {
-            prefix = $window.location.search + prefix;
-            if (route.prefix[0] !== "?") {
-              prefix = $window.location.pathname + prefix;
-              if (prefix[0] !== "/")
-                prefix = "/" + prefix;
-            }
-          }
-          var path = prefix.concat().replace(/(?:%[a-f89][a-f0-9])+/gim, decodeURIComponentSave).slice(route.prefix.length);
-          var data = parsePathname(path);
-          assign(data.params, $window.history.state);
-          function reject(e) {
-            console.error(e);
-            setPath(fallbackRoute, null, { replace: true });
-          }
-          loop(0);
-          function loop(i) {
-            for (; i < compiled.length; i++) {
-              if (compiled[i].check(data)) {
-                var payload = compiled[i].component;
-                var matchedRoute = compiled[i].route;
-                var localComp = payload;
-                var update = lastUpdate = function(comp) {
-                  if (update !== lastUpdate)
-                    return;
-                  if (comp === SKIP)
-                    return loop(i + 1);
-                  component = comp != null && (typeof comp.view === "function" || typeof comp === "function") ? comp : "div";
-                  attrs = data.params, currentPath = path, lastUpdate = null;
-                  currentResolver = payload.render ? payload : null;
-                  if (state === 2)
-                    mountRedraw.redraw();
-                  else {
-                    state = 2;
-                    mountRedraw.redraw.sync();
-                  }
-                };
-                if (payload.view || typeof payload === "function") {
-                  payload = {};
-                  update(localComp);
-                } else if (payload.onmatch) {
-                  p.then(function() {
-                    return payload.onmatch(data.params, path, matchedRoute);
-                  }).then(update, path === fallbackRoute ? null : reject);
-                } else
-                  update("div");
-                return;
-              }
-            }
-            if (path === fallbackRoute) {
-              throw new Error("Could not resolve default route " + fallbackRoute + ".");
-            }
-            setPath(fallbackRoute, null, { replace: true });
-          }
-        }
-        function fireAsync() {
-          if (!scheduled) {
-            scheduled = true;
-            callAsync(resolveRoute);
-          }
-        }
-        function setPath(path, data, options) {
-          path = buildPathname(path, data);
-          if (ready) {
-            fireAsync();
-            var state2 = options ? options.state : null;
-            var title = options ? options.title : null;
-            if (options && options.replace)
-              $window.history.replaceState(state2, title, route.prefix + path);
-            else
-              $window.history.pushState(state2, title, route.prefix + path);
-          } else {
-            $window.location.href = route.prefix + path;
-          }
-        }
-        function route(root, defaultRoute, routes) {
-          if (!root)
-            throw new TypeError("DOM element being rendered to does not exist.");
-          compiled = Object.keys(routes).map(function(route2) {
-            if (route2[0] !== "/")
-              throw new SyntaxError("Routes must start with a '/'.");
-            if (/:([^\/\.-]+)(\.{3})?:/.test(route2)) {
-              throw new SyntaxError("Route parameter names must be separated with either '/', '.', or '-'.");
-            }
-            return {
-              route: route2,
-              component: routes[route2],
-              check: compileTemplate(route2)
-            };
-          });
-          fallbackRoute = defaultRoute;
-          if (defaultRoute != null) {
-            var defaultData = parsePathname(defaultRoute);
-            if (!compiled.some(function(i) {
-              return i.check(defaultData);
-            })) {
-              throw new ReferenceError("Default route doesn't match any known routes.");
-            }
-          }
-          if (typeof $window.history.pushState === "function") {
-            $window.addEventListener("popstate", fireAsync, false);
-          } else if (route.prefix[0] === "#") {
-            $window.addEventListener("hashchange", resolveRoute, false);
-          }
-          ready = true;
-          mountRedraw.mount(root, RouterRoot);
-          resolveRoute();
-        }
-        route.set = function(path, data, options) {
-          if (lastUpdate != null) {
-            options = options || {};
-            options.replace = true;
-          }
-          lastUpdate = null;
-          setPath(path, data, options);
-        };
-        route.get = function() {
-          return currentPath;
-        };
-        route.prefix = "#!";
-        route.Link = {
-          view: function(vnode) {
-            var child = m2(
-              vnode.attrs.selector || "a",
-              censor(vnode.attrs, ["options", "params", "selector", "onclick"]),
-              vnode.children
-            );
-            var options, onclick, href;
-            if (child.attrs.disabled = Boolean(child.attrs.disabled)) {
-              child.attrs.href = null;
-              child.attrs["aria-disabled"] = "true";
-            } else {
-              options = vnode.attrs.options;
-              onclick = vnode.attrs.onclick;
-              href = buildPathname(child.attrs.href, vnode.attrs.params);
-              child.attrs.href = route.prefix + href;
-              child.attrs.onclick = function(e) {
-                var result;
-                if (typeof onclick === "function") {
-                  result = onclick.call(e.currentTarget, e);
-                } else if (onclick == null || typeof onclick !== "object") {
-                } else if (typeof onclick.handleEvent === "function") {
-                  onclick.handleEvent(e);
-                }
-                if (
-                  // Skip if `onclick` prevented default
-                  result !== false && !e.defaultPrevented && // Ignore everything but left clicks
-                  (e.button === 0 || e.which === 0 || e.which === 1) && // Let the browser handle `target=_blank`, etc.
-                  (!e.currentTarget.target || e.currentTarget.target === "_self") && // No modifier keys
-                  !e.ctrlKey && !e.metaKey && !e.shiftKey && !e.altKey
-                ) {
-                  e.preventDefault();
-                  e.redraw = false;
-                  route.set(href, null, options);
-                }
-              };
-            }
-            return child;
-          }
-        };
-        route.param = function(key) {
-          return attrs && key != null ? attrs[key] : attrs;
-        };
-        return route;
-      };
-    }
-  });
-
-  // node_modules/mithril/route.js
-  var require_route = __commonJS({
-    "node_modules/mithril/route.js"(exports, module) {
-      "use strict";
-      var mountRedraw = require_mount_redraw2();
-      module.exports = require_router()(typeof window !== "undefined" ? window : null, mountRedraw);
-    }
-  });
-
-  // node_modules/mithril/index.js
-  var require_mithril = __commonJS({
-    "node_modules/mithril/index.js"(exports, module) {
-      "use strict";
-      var hyperscript = require_hyperscript2();
-      var request = require_request2();
-      var mountRedraw = require_mount_redraw2();
-      var m2 = function m3() {
-        return hyperscript.apply(this, arguments);
-      };
-      m2.m = hyperscript;
-      m2.trust = hyperscript.trust;
-      m2.fragment = hyperscript.fragment;
-      m2.Fragment = "[";
-      m2.mount = mountRedraw.mount;
-      m2.route = require_route();
-      m2.render = require_render2();
-      m2.redraw = mountRedraw.redraw;
-      m2.request = request.request;
-      m2.jsonp = request.jsonp;
-      m2.parseQueryString = require_parse();
-      m2.buildQueryString = require_build();
-      m2.parsePathname = require_parse2();
-      m2.buildPathname = require_build2();
-      m2.vnode = require_vnode();
-      m2.PromisePolyfill = require_polyfill();
-      m2.censor = require_censor();
-      module.exports = m2;
-    }
-  });
-
-  // src/app.jsx
-  var import_mithril = __toESM(require_mithril(), 1);
-  var models = {};
-  var searchTerm = "";
-  fetch("./collection.json").then((response) => response.json()).then((data) => {
-    models = data;
-    import_mithril.default.redraw();
-  });
-  var Main = () => {
-    function byteToGigaByte(n) {
-      gb = n / Math.pow(10, 9);
-      round = gb.toFixed(1);
-      return round;
-    }
-    function revealModelDetails(id) {
-      if (document.getElementById(id).classList.contains("active")) {
-        document.getElementById(id).classList.remove("active");
-        return;
-      } else {
-        document.getElementById(id).classList.add("active");
-      }
-    }
-    function copyCID(cid) {
-      console.log("Copying CID to clipboard");
-      navigator.clipboard.writeText(cid);
-      document.getElementById("copy-toast").classList.add("active");
-      setTimeout(() => {
-        document.getElementById("copy-toast").classList.remove("active");
-      }, 2e3);
-    }
-    return {
-      view: () => /* @__PURE__ */ (0, import_mithril.default)("div", { class: "main" }, /* @__PURE__ */ (0, import_mithril.default)("div", { class: "toast", id: "copy-toast" }, /* @__PURE__ */ (0, import_mithril.default)("p", null, " Copied CID to clipboard ")), /* @__PURE__ */ (0, import_mithril.default)("div", { class: "header" }, /* @__PURE__ */ (0, import_mithril.default)("h1", { class: "logo" }, " IPFS Huggingface mirror ")), /* @__PURE__ */ (0, import_mithril.default)("div", { class: "top-bar" }, /* @__PURE__ */ (0, import_mithril.default)("h1", null, " Models "), /* @__PURE__ */ (0, import_mithril.default)("input", { class: "search", type: "text", placeholder: "Search for models", oninput: (e) => searchTerm = e.target.value })), /* @__PURE__ */ (0, import_mithril.default)("div", { className: "content" }, Object.keys(models).length ? /* @__PURE__ */ (0, import_mithril.default)("div", { class: "model-list" }, Object.entries(models).map(([key, value]) => (
-        // Checks if the data isn't mallformed or if it's an API instead of a stored model
-        key === "cache" || !value.cache.ipfs["/"] || value.format === "api" ? null : (
-          // Checks if the search term matches the model name this is a really rudementary search
-          key.toLowerCase().includes(searchTerm.toLowerCase()) ? /* @__PURE__ */ (0, import_mithril.default)("div", { class: "model-card", id: key }, /* @__PURE__ */ (0, import_mithril.default)("h2", { class: "model-name" }, " ", key, " "), /* @__PURE__ */ (0, import_mithril.default)("code", { class: "codeblock", onclick: () => copyCID(value.cache.ipfs["/"].path) }, value.cache.ipfs["/"].path, " ", /* @__PURE__ */ (0, import_mithril.default)("i", { class: "fa-solid fa-copy" }), " "), /* @__PURE__ */ (0, import_mithril.default)("button", { onclick: () => revealModelDetails(key) }, " ", /* @__PURE__ */ (0, import_mithril.default)("i", { class: "fa-solid fa-angle-down" })), /* @__PURE__ */ (0, import_mithril.default)("div", { class: "model-details" }, /* @__PURE__ */ (0, import_mithril.default)("div", { class: "source" }, /* @__PURE__ */ (0, import_mithril.default)("p", null, "Source: ", /* @__PURE__ */ (0, import_mithril.default)("a", { href: value.source, target: "_blank" }, value.source))), /* @__PURE__ */ (0, import_mithril.default)("div", { class: "hw-reqs" }, /* @__PURE__ */ (0, import_mithril.default)("h3", null, " Hardware requirements "), /* @__PURE__ */ (0, import_mithril.default)("ul", null, /* @__PURE__ */ (0, import_mithril.default)("li", null, " Minimum T-flops: fp8 - ", value.hwRequirements.minFlops.fp8, ", fp16 - ", value.hwRequirements.minFlops.fp16, ", fp32 - ", value.hwRequirements.minFlops.fp32, " "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " T-flops per unit: ", value.hwRequirements.flopsPerUnit, " "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " GPU count: ", value.hwRequirements.gpuCount.join(" - ")), /* @__PURE__ */ (0, import_mithril.default)("li", null, " CPU count: ", value.hwRequirements.cpuCount.join(" - ")), /* @__PURE__ */ (0, import_mithril.default)("li", null, " GPU memory: ", byteToGigaByte(value.hwRequirements.gpuMemory), " GB "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " CPU memory: ", byteToGigaByte(value.hwRequirements.cpuMemory), " GB "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " Disk usage: ", byteToGigaByte(value.hwRequirements.diskUsage), " GB "))), /* @__PURE__ */ (0, import_mithril.default)("div", { class: "metadata" }, /* @__PURE__ */ (0, import_mithril.default)("h3", null, " Description "), /* @__PURE__ */ (0, import_mithril.default)("ul", null, /* @__PURE__ */ (0, import_mithril.default)("li", null, " Conext size: ", value.metadata.contextSize, " "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " Parameters: ", value.metadata.parameters, " "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " Quantization: ", value.metadata.quantization, " "), /* @__PURE__ */ (0, import_mithril.default)("li", null, " Units: ", value.metadata.units, " "))))) : (
-            // I dont want to spam the console with this but mithril doesn't allow this to be empty
-            null
-          )
-        )
-      ))) : /* @__PURE__ */ (0, import_mithril.default)("span", { class: "loader" })))
-    };
-  };
-  import_mithril.default.mount(document.body, Main);
-})();
diff --git a/model_collection_viewer/index.html b/model_collection_viewer/index.html
deleted file mode 100644
index 2056de1..0000000
--- a/model_collection_viewer/index.html
+++ /dev/null
@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<head>
-	<meta charset="UTF-8">
-	<meta name="viewport" content="width=device-width, initial-scale=1">
-    <script src="https://unpkg.com/mithril/mithril.js"></script>
-    <script src="https://kit.fontawesome.com/9d3da789ce.js" crossorigin="anonymous"></script>
-    <link rel="stylesheet" href="dist/app.css">
-</head>
-<body>
-    <script src="dist/app.js"></script>
-</body>
-</html>
\ No newline at end of file
diff --git a/model_collection_viewer/models.json b/model_collection_viewer/models.json
deleted file mode 100644
index f0b6e09..0000000
--- a/model_collection_viewer/models.json
+++ /dev/null
@@ -1,32683 +0,0 @@
-{
-	"stablelm-zephyr-3b-GGUF-Q2_K": {
-		"metadata": {
-			"modelName": "stablelm-zephyr-3b-GGUF",
-			"contextSize": 4096,
-			"parameters": 3221225472,
-			"quantization": "Q2_K",
-			"ropeScale": 1,
-			"units": "tokens",
-			"skill": "llama_cpp"
-		},
-		"hwRequirements": {
-			"minFlops": {
-				"fp8": 0,
-				"fp16": 10,
-				"fp32": 0
-			},
-			"flopsPerUnit": 0.3558,
-			"minSpeed": 0.2810567734682406,
-			"gpuCount": [
-				1
-			],
-			"cpuCount": [
-				2,
-				4
-			],
-			"gpuMemory": 1134978662.4,
-			"cpuMemory": 1134978662.4,
-			"minBandwidth": 0,
-			"minDiskIO": 0,
-			"diskUsage": 1248476528.64,
-			"tokensPerSecond": 100
-		},
-		"folderData": {
-			"/README.md": {
-				"size": 133909
-			},
-			"/config.json": {
-				"size": 63053
-			},
-			"/manifest.json": {
-				"size": 2247
-			},
-			"/stablelm-zephyr-3b.Q2_K.gguf": {
-				"size": 1198771648
-			}
-		},
-		"cache": {
-			"ipfs": {},
-			"s3": {
-				"/README.md": {
-					"path": "/README.md",
-					"url": "s3://cloudkit-beta/stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/README.md"
-				},
-				"/config.json": {
-					"path": "/config.json",
-					"url": "s3://cloudkit-beta/stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/config.json"
-				},
-				"/manifest.json": {
-					"path": "/manifest.json",
-					"url": "s3://cloudkit-beta/stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/manifest.json"
-				},
-				"/stablelm-zephyr-3b.Q2_K.gguf": {
-					"path": "/stablelm-zephyr-3b.Q2_K.gguf",
-					"url": "s3://cloudkit-beta/stablelm-zephyr-3b-GGUF-Q2_K-Q2_K@gguf/stablelm-zephyr-3b.Q2_K.gguf"
-				}
-			},
-			"local": {
-				"/README.md": {
-					"path": "/README.md",
-					"url": "stablelm-zephyr-3b-GGUF-Q2_K@gguf/README.md"
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-					"url": "s3://cloudkit-beta/faster-whisper-tiny.en-undefined@hf/manifest.json"
-				},
-				"/model.bin": {
-					"path": "/model.bin",
-					"url": "s3://cloudkit-beta/faster-whisper-tiny.en-undefined@hf/model.bin"
-				},
-				"/tokenizer.json": {
-					"path": "/tokenizer.json",
-					"url": "s3://cloudkit-beta/faster-whisper-tiny.en-undefined@hf/tokenizer.json"
-				},
-				"/vocabulary.txt": {
-					"path": "/vocabulary.txt",
-					"url": "s3://cloudkit-beta/faster-whisper-tiny.en-undefined@hf/vocabulary.txt"
-				}
-			},
-			"local": {
-				"/README.md": {
-					"path": "/README.md",
-					"url": "faster-whisper-tiny.en@hf/README.md"
-				},
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-					"url": "faster-whisper-tiny.en@hf/config.json"
-				},
-				"/manifest.json": {
-					"path": "/manifest.json",
-					"url": "faster-whisper-tiny.en@hf/manifest.json"
-				},
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-					"url": "faster-whisper-tiny.en@hf/model.bin"
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-					"url": "faster-whisper-tiny.en@hf/tokenizer.json"
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-					"path": "/vocabulary.txt",
-					"url": "faster-whisper-tiny.en@hf/vocabulary.txt"
-				}
-			},
-			"https": {
-				"/README.md": {
-					"path": "/README.md",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/README.md"
-				},
-				"/config.json": {
-					"path": "/config.json",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/config.json"
-				},
-				"/manifest.json": {
-					"path": "/manifest.json",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/manifest.json"
-				},
-				"/model.bin": {
-					"path": "/model.bin",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/model.bin"
-				},
-				"/tokenizer.json": {
-					"path": "/tokenizer.json",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/tokenizer.json"
-				},
-				"/vocabulary.txt": {
-					"path": "/vocabulary.txt",
-					"url": "https://huggingface.co/Systran/faster-whisper-tiny.en/resolve/main/vocabulary.txt"
-				}
-			}
-		},
-		"format": "hf",
-		"id": "faster-whisper-tiny.en",
-		"source": "https://huggingface.co/Systran/faster-whisper-tiny.en",
-		"location": "huggingface"
-	},
-	"faster-whisper-small.en": {
-		"metadata": {
-			"modelName": "faster-whisper-small.en",
-			"metadata": {
-				"parameters": 253755392
-			},
-			"units": "vectors"
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-		"hwRequirements": {
-			"minFlops": {
-				"fp8": 0,
-				"fp16": 10,
-				"fp32": 0
-			},
-			"flopsPerUnit": 0.3558,
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-			"gpuCount": [
-				1
-			],
-			"cpuCount": [
-				2,
-				4
-			],
-			"gpuMemory": 558261862.4000001,
-			"cpuMemory": 558261862.4000001,
-			"minBandwidth": 0,
-			"minDiskIO": 0,
-			"diskUsage": 614088048.6400001,
-			"samples_per_second": 0
-		},
-		"folderData": {
-			"/README.md": {
-				"md5": "fbe4e3e5811fe858c5bfbdbd118376f1",
-				"size": 1330
-			},
-			"/config.json": {
-				"md5": "f1523dd246c23e7bf7c79c9f0345150d",
-				"size": 2657
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-			"/manifest.json": {
-				"md5": "3fdbaa6b7d05cdb216b985ebeefeddbf",
-				"size": 3028
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-		"cache": {
-			"ipfs": {
-				"/README.md": {
-					"path": "QmdHw5Dc2RAaGVC5jZdnaG5aSHBhSDtqL82fJwcExcXGNA",
-					"url": "https://ipfs.io/ipfs/QmdHw5Dc2RAaGVC5jZdnaG5aSHBhSDtqL82fJwcExcXGNA"
-				},
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-					"path": "QmPzNZF37TmHi7SdYiPnjF8QW2w2gTKxVHb3WmL9rTNUPg",
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-					"path": "QmU6dF5veMQhQdBDw2iKaUKU6KghqL1oBASh6oLte9Zv2K",
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-				},
-				"/model.bin": {
-					"path": "QmXXeAdcUY9s1TYqW2QVoHEpmuELwk39swAQiwaUP8Zrns",
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-			"s3": {
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-					"url": "s3://cloudkit-beta/faster-whisper-small.en-undefined@hf/README.md"
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-			"local": {
-				"/README.md": {
-					"path": "/README.md",
-					"url": "faster-whisper-small.en@hf/README.md"
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-					"url": "faster-whisper-small.en@hf/config.json"
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-					"url": "faster-whisper-small.en@hf/manifest.json"
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-				"/README.md": {
-					"path": "/README.md",
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-				"/manifest.json": {
-					"path": "/manifest.json",
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-					"path": "/tokenizer.json",
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-				}
-			}
-		},
-		"format": "hf",
-		"id": "faster-whisper-small.en",
-		"source": "https://huggingface.co/Systran/faster-whisper-small.en",
-		"location": "huggingface"
-	}
-}
\ No newline at end of file
diff --git a/model_collection_viewer/package.json b/model_collection_viewer/package.json
deleted file mode 100644
index da03ebf..0000000
--- a/model_collection_viewer/package.json
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-	"name": "@navichat/main-menu-ui",
-	"type": "module",
-	"version": "1.0.0",
-	"scripts": {
-		"dev": "node dev.js"
-	},
-	"devDependencies": {
-		"chokidar": "^3.5.3",
-		"esbuild": "0.19.3",
-		"koa": "^2.15.0",
-		"koa-static": "^5.0.0",
-		"mithril": "^2.2.2",
-		"postcss": "^8.4.30",
-		"postcss-import": "^15.1.0",
-		"postcss-nested": "^6.0.1"
-	}
-}
diff --git a/model_collection_viewer/src/app.js b/model_collection_viewer/src/app.js
deleted file mode 100644
index 35d1ec8..0000000
--- a/model_collection_viewer/src/app.js
+++ /dev/null
@@ -1,3 +0,0 @@
-export const uiState = {
-	
-}
\ No newline at end of file
diff --git a/model_collection_viewer/src/app.jsx b/model_collection_viewer/src/app.jsx
deleted file mode 100644
index a1d2c83..0000000
--- a/model_collection_viewer/src/app.jsx
+++ /dev/null
@@ -1,115 +0,0 @@
-import m, { render } from 'mithril'
-
-let models = {};
-let searchTerm = '';
-
-
-fetch('./collection.json')
-	.then(response => response.json())
-	.then(data => {
-		models = data
-		m.redraw()
-	})
-	
-
-const Main = () => {
-
-	function byteToGigaByte(n) {
-		gb = n / Math.pow(10,9);
-		round = gb.toFixed(1);
-		return round
-	}
-
-	function revealModelDetails(id) {
-		if (document.getElementById(id).classList.contains('active')) {
-			document.getElementById(id).classList.remove('active')
-			return
-		}else {
-			document.getElementById(id).classList.add('active')
-		}
-
-	}
-
-	function copyCID(cid) {
-		console.log('Copying CID to clipboard')
-		navigator.clipboard.writeText(cid)
-		document.getElementById('copy-toast').classList.add('active')
-		setTimeout(() => {
-			document.getElementById('copy-toast').classList.remove('active')
-		}, 2000)
-	}
-
-	return {
-		view: () => (
-		<div class="main">
-			<div class="toast" id="copy-toast">
-				<p> Copied CID to clipboard </p>
-			</div>
-
-			<div class="header">
-				<h1 class='logo'> IPFS Huggingface mirror </h1>
-			</div>
-
-			<div class='top-bar'>
-				<h1> Models </h1>
-				<input class="search" type="text" placeholder="Search for models" oninput={(e) => searchTerm = e.target.value} />
-			</div>
-
-
-			<div className='content'>
-				{Object.keys(models).length ? (
-					<div class='model-list'>		
-						{Object.entries(models).map(([key, value]) => (
-							// Checks if the data isn't mallformed or if it's an API instead of a stored model
-							key === 'cache' || !value.cache.ipfs["/"] || value.format === 'api' ? (
-								null
-							) : (
-								// Checks if the search term matches the model name this is a really rudementary search
-								key.toLowerCase().includes(searchTerm.toLowerCase()) ? (
-								<div class='model-card' id={key}>
-									<h2 class='model-name'> {key} </h2>
-									<code class='codeblock' onclick={() => copyCID(value.cache.ipfs["/"].path)}>{value.cache.ipfs["/"].path} <i class="fa-solid fa-copy"></i> </code>
-									<button onclick={() => revealModelDetails(key)}> <i class="fa-solid fa-angle-down"></i></button>
-									<div class='model-details'>
-										<div class="source">
-											<p>Source: <a href={value.source} target="_blank" >{value.source}</a></p>
-										</div>
-										<div class="hw-reqs">
-											<h3> Hardware requirements </h3>
-											<ul>
-												<li> Minimum T-flops: fp8 - {value.hwRequirements.minFlops.fp8}, fp16 - {value.hwRequirements.minFlops.fp16}, fp32 - {value.hwRequirements.minFlops.fp32} </li>
-												<li> T-flops per unit: {value.hwRequirements.flopsPerUnit} </li>
-												<li> GPU count: {value.hwRequirements.gpuCount.join(" - ")}</li>
-												<li> CPU count: {value.hwRequirements.cpuCount.join(" - ")}</li>
-												<li> GPU memory: {byteToGigaByte(value.hwRequirements.gpuMemory)} GB </li>
-												<li> CPU memory: {byteToGigaByte(value.hwRequirements.cpuMemory)} GB </li>
-												<li> Disk usage: {byteToGigaByte(value.hwRequirements.diskUsage)} GB </li>
-											</ul>
-										</div>
-										<div class="metadata">
-											<h3> Description </h3>
-											<ul>
-												<li> Conext size: {value.metadata.contextSize} </li>
-												<li> Parameters: {value.metadata.parameters} </li>
-												<li> Quantization: {value.metadata.quantization} </li>
-												<li> Units: {value.metadata.units} </li>
-											</ul>
-										</div>										
-									</div>
-								</div>	
-							) : (
-								// I dont want to spam the console with this but mithril doesn't allow this to be empty
-								null
-							))
-						))}
-					</div>
-  				) : (
-					<span class="loader"></span>
-  				)}
-			</div>
-		</div>
-		)
-	}
-}
-
-m.mount(document.body, Main)
diff --git a/model_collection_viewer/src/style.scss b/model_collection_viewer/src/style.scss
deleted file mode 100644
index 3026212..0000000
--- a/model_collection_viewer/src/style.scss
+++ /dev/null
@@ -1,336 +0,0 @@
-* , *:before, *:after{ 
-	box-sizing:border-box; 
-	-moz-box-sizing:border-box; 
-	-webkit-box-sizing:border-box; 
-	-ms-box-sizing:border-box;
-	margin: 0;
-	padding: 0;
-}
-
-body{
-	font-family: 'Roboto', sans-serif;
-	background-color: #e9e8eb;
-}
-
-.header{
-	background-color: #51b8bc;
-	color: #fff;
-	padding: 12px;
-	display: flex;
-	justify-content: space-between;
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-}
-
-.header .logo{
-	font-size: 24px;
-}
-
-
-.top-bar{
-	width: 90%;
-	height: 64px;
-	margin-top: 32px;
-	margin-left: auto;
-	margin-right: auto;
-	background-color: #51b8bc;
-	color: #fff;
-	padding-left: 12px;
-	padding-right: 32px;
-	display: flex;
-	justify-content: space-between;
-	align-items: center;
-
-	@media screen and (max-width: 960px){
-		width: 100%;
-	}
-
-	@media screen and (max-width: 767px){
-		width: 100%;
-		font-size: 12pt;
-		margin-top: 12px;
-	}
-}
-
-
-.search{
-	width: 50%;
-	min-width: 200px;
-	max-width: 500px;
-	height: 32px;
-	border-radius: 100px;
-	text-align: center;
-	border: none;
-	font-size: 12pt;
-}
-
-.search:focus{
-	outline: none;
-}
-
-
-.content{
-	width: 90%;
-	height: 85vh;
-	margin-left: auto;
-	margin-right: auto;
-	overflow: scroll;
-	display: flex;
-	justify-content: space-between;
-	scrollbar-width: none;
-
-	@media screen and (max-width: 960px){
-		width: 100%;
-	}
-}
-
-.model-list{
-	width: 100%;
-}
-
-.model-name{
-	width: 33%;
-	margin-right: auto;
-	margin-left: 32px;
-	margin-top: auto;
-	margin-bottom: auto;
-}
-
-.codeblock{
-	margin: auto;
-	display: flex;
-	white-space: pre-wrap;
-	font-family: monospace;
-	background-color: #e9e9eb;
-	border-radius: 100px;
-	padding: 8px;
-	color:#333;
-	height: 32px;
-	cursor: pointer;
-
-	@media screen and (max-width: 767px){
-		overflow: hidden;
-		width: 120px;
-		margin-top: 20px;
-	}
-}
-
-.codeblock i{
-	@media screen and (max-width: 767px){
-		margin-left: 120px;
-	}
-}
-
-.codeblock:hover i{
-	color:#bc5551;
-}
-
-.toast{
-	width: 200px;
-	position: absolute;
-	bottom: 12px;
-	right:0;
-	left:0;
-	margin-left: auto;
-	margin-right: auto;
-	background-color: #51b8bc;
-	color: #fff;
-	padding: 12px;
-	border-radius: 12px;
-	text-align: center;
-	opacity: 0;
-	transition: opacity 0.5s;
-}
-
-.toast.active{
-	opacity: 1;
-	transition: opacity 0.5s;
-}
-
-.model-card{
-	color:#4b465c;
-	width:100%;
-	height: 64px;
-	background-color: #fff;
-	border-radius: 0px;
-	margin-top: 12px;
-	display: flex;
-	justify-content: space-between;
-	flex-wrap: wrap;
-	overflow: hidden;
-	transition: height 0.5s;
-
-	box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-	-webkit-box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-	-moz-box-shadow: -1px 9px 21px -10px rgba(0,0,0,0.31);
-
-	@media screen and (max-width: 767px){
-		height: 80px;
-	}
-
-}
-
-.model-card h2{
-	@media screen and (max-width: 767px){
-		font-size: 12pt;
-		margin-top: 12px;
-		margin-left: 12px;
-		margin-bottom: 50px;
-	}
-}
-
-.model-card i{
-	color: #4b465c;
-}
-
-.model-card i:hover{
-	color: #bc5551;
-}
-
-.model-card.active{
-	/* change height to fit the model details */
-	height: 500px;
-	transition: height 0.5s;
-
-	@media screen and (max-width: 767px){
-		height: 600px;
-	}
-}
-
-.model-card button{
-	font-size: larger;
-	width: 64px;
-	height: 64px;
-	background: none;
-	border: none;
-	cursor: pointer;
-	transition: rotate 0.5s;
-
-	@media screen and (max-width: 767px){
-		margin-top: 12px;
-	}
-}
-
-.model-card.active button{
-	font-size: larger;
-	width: 64px;
-	height: 64px;
-	background: none;
-	border: none;
-	cursor: pointer;
-	rotate: 180deg;
-	transition: rotate 0.5s;
-}
-
-.model-details{
-	width: 98%;
-	margin: auto;
-	padding-top: 12px;
-	border-top: 2px solid #7a7a7a;
-	display: flex;
-	flex-wrap: wrap;
-	padding: 20px;
-	/* adds margin to the bottom of the model details so it doesn't size the top of the model card  margin is hidden by overflow hidden */
-	margin-bottom: 100px;
-
-
-	@media screen and (max-width: 767px){
-		padding: 12px;
-		margin-bottom: 20px;
-	}
-}
-
-.source{
-	width: 100%;
-	margin-bottom: 16px;
-	font-weight: 500;
-}
-
-.source a {
-	color: #4b465c;
-	text-decoration: none;
-	cursor: pointer;
-}
-
-.source a:hover{
-	color: #bc5551;
-}
-
-
-.hw-reqs{
-	margin-right: 50px;
-	width: 40%;
-
-	@media screen and (max-width: 767px){
-		width: 49%;
-		margin-right: 6px;
-	}
-}
-
-.hw-reqs h3{
-	margin-bottom: 12px;
-}
-
-.hw-reqs ul{
-	
-	list-style-type: none;
-}
-
-.hw-reqs ul li{
-	margin-bottom: 12px;
-	background-color: #e9e8eb;
-	padding-left: 16px;
-	padding-top: 5px;
-	padding-bottom: 5px;
-	font-weight: 500;
-}
-
-.metadata{
-	width: 40%;
-
-	@media screen and (max-width: 767px){
-		width: 49%;
-		margin-top: 21px;
-	}
-}
-
-.metadata h3{
-	margin-bottom: 12px;
-}
-
-.metadata ul{
-
-	list-style-type: none;
-}
-
-.metadata ul li{
-	margin-bottom: 12px;
-	background-color: #e9e8eb;
-	padding-left: 16px;
-	padding-top: 5px;
-	padding-bottom: 5px;
-	font-weight: 500;
-}
-
-
-.loader {
-	align-self: center;
-	margin-left: auto;
-	margin-right: auto;
-	width: 64px;
-	height: 64px;
-	border: 8px solid;
-	border-color: #51b8bc transparent;
-	border-radius: 50%;
-	display: inline-block;
-	box-sizing: border-box;
-	animation: rotation 1s linear infinite;
-  }
-  
-  @keyframes rotation {
-	0% {
-	  transform: rotate(0deg);
-	}
-	100% {
-	  transform: rotate(360deg);
-	}
-  } 
\ No newline at end of file
diff --git a/model_collection_viewer/style.css b/model_collection_viewer/style.css
deleted file mode 100644
index 0efa4f4..0000000
--- a/model_collection_viewer/style.css
+++ /dev/null
@@ -1,5 +0,0 @@
-body{
-    margin: 0;
-    padding: 0;
-    font-family: 'Roboto', sans-serif;
-}
diff --git a/orbitdb_kit/import-collection.js b/orbitdb_kit/import-collection.js
deleted file mode 100644
index 78218ab..0000000
--- a/orbitdb_kit/import-collection.js
+++ /dev/null
@@ -1,29 +0,0 @@
-import { WebSocket } from 'ws';
-import fs from 'fs';
-import path from 'path';
-
-const parent_dir = path.dirname("../..");
-const resolve_path = path.resolve(parent_dir)
-const collection_path = path.join(resolve_path, 'collection.json');
-
-export default async function main(collection_path){
-    const ws = new WebSocket('ws://localhost:8080');
-    ws.on('open', () => {
-        let collection = fs.readFileSync(collection_path, 'utf8');
-        let collection_json = JSON.parse(collection);
-        for (let i = 0; i < Object.keys(collection_json).length; i++){
-            let id = Object.keys(collection_json)[i];
-            let content = collection_json[id];
-            ws.send(
-                JSON.stringify({
-                   'insert':{ _id: id, content: content }
-                })
-            )
-        }
-   });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main(collection_path);
\ No newline at end of file
diff --git a/orbitdb_kit/import_hf_dataset.js b/orbitdb_kit/import_hf_dataset.js
deleted file mode 100644
index 8d1c8b6..0000000
--- a/orbitdb_kit/import_hf_dataset.js
+++ /dev/null
@@ -1 +0,0 @@
- 
diff --git a/orbitdb_kit/orbitv3-master.js b/orbitdb_kit/orbitv3-master.js
deleted file mode 100644
index 330c46c..0000000
--- a/orbitdb_kit/orbitv3-master.js
+++ /dev/null
@@ -1,184 +0,0 @@
-import {createOrbitDB, Identities, OrbitDBAccessController} from '@orbitdb/core'
-import {createHelia} from 'helia'
-import {v4 as uuidv4} from 'uuid';
-import {EventEmitter} from "events";
-import {createLibp2p} from 'libp2p'
-import {identify} from '@libp2p/identify'
-import {noise} from '@chainsafe/libp2p-noise'
-import {yamux} from '@chainsafe/libp2p-yamux'
-import {gossipsub} from '@chainsafe/libp2p-gossipsub'
-import {bitswap} from '@helia/block-brokers'
-import {tcp} from '@libp2p/tcp'
-import {mdns} from '@libp2p/mdns'
-import {LevelBlockstore} from 'blockstore-level'
-import {createRequire} from "module";
-import { WebSocketServer } from 'ws'
-
-const require = createRequire(import.meta.url);
-
-const ipfsLibp2pOptions = {
-    transports: [
-        tcp(),
-    ],
-    streamMuxers: [
-        yamux()
-    ],
-    connectionEncryption: [
-        noise()
-    ],
-    peerDiscovery: [
-        mdns({
-            interval: 20e3
-        })
-    ],
-    services: {
-        pubsub: gossipsub({
-            allowPublishToZeroPeers: true
-        }),
-        identify: identify()
-    },
-    connectionManager: {}
-}
-
-EventEmitter.defaultMaxListeners = 20;
-
-let ipfs
-let orbitdb
-let db
-
-async function run() {
-    process.env.LIBP2P_FORCE_PNET = "1"
-    const argv = require('minimist')(process.argv.slice(2))
-    let ipAddress
-    if (!argv.ipAddress) {
-        ipAddress = "127.0.0.1"
-    } else {
-        ipAddress = argv.ipAddress
-    }
-    
-    process.on('SIGTERM', handleTerminationSignal);
-    process.on('SIGINT', handleTerminationSignal);
-    console.info('Script is running. Press CTRL+C to terminate.');
-
-    const libp2p = await createLibp2p({
-        addresses: {
-            listen: [`/ip4/${ipAddress}/tcp/0`]
-        }, ...ipfsLibp2pOptions
-    })
-    const blockstore = new LevelBlockstore(`./ipfs/1/blocks`)
-    ipfs = await createHelia({blockstore: blockstore, libp2p: libp2p, blockBrokers: [bitswap()]})
-    const identities = await Identities({ipfs, path: `./orbitdb/1/identities`})
-    const id = "1"
-    identities.createIdentity({id}) // Remove the unused variable 'identity'
-    orbitdb = await createOrbitDB({ipfs: ipfs, identities, id: `1`, directory: `./orbitdb/1`})
-
-    db = await orbitdb.open('ipfs_transformers',
-        {
-            type: 'documents',
-            AccessController: OrbitDBAccessController({write: ["*"]})
-        })
-    console.info(`running with db address ${db.address}`)
-    // Add a new WebSocket server
-    const wss = new WebSocketServer({ port: 8080 })
-    wss.on('connection', (ws) => {
-        console.log('New WebSocket connection');
-        ws.on('message', (message) => {
-            message = JSON.parse(message.toString());
-            console.log('Received message:', message);
-            let method = Object.keys(message)[0];
-            let data = message[method];
-            // Handle WebSocket messages here
-            switch (method) {
-                case 'insert':
-                    // Handle insert logic
-                    let insertKey = data._id;
-                    let insertValue = data.content;
-                    console.log('Inserting data: ', insertKey, insertValue);
-                    validate(insertValue).then((result) => {
-                        if (result) {
-                            db.put(data).then(() => {
-                                console.log('Data inserted:', data);
-                                ws.send('Data inserted');
-                            }).catch((error) => {
-                                console.error('Error inserting data:', error);
-                                ws.send('Error inserting data');
-                            });
-                        }
-                        else{
-                            console.error('Data validation failed:', insertValue);
-                            ws.send('Data validation failed');
-                        }
-                    });
-                    break;
-                case 'update':
-                    // Handle update logic
-                    let updateKey = data._id;
-                    let updateValue = data.content;
-                    let updatedDoc = {_id: updateKey, content: updateValue};
-                    let docToUpdate = db.get(updateKey).then((doc) => {
-                        validate(updatedDoc).then((result) => {
-                            db.put(updatedDoc).then(() => {
-                                console.log('Data updated:', data);
-                                ws.send('Data updates');
-                            }).catch((error) => {
-                                console.error('Error updating data:', error);
-                                ws.send('Error updating data');
-                            });
-                        }).catch((error) => {
-                            console.error('Error updating data:', error);
-                            ws.send('Error updating data');
-                        })
-                    }).catch((error) => {
-                        console.error('Error upfating document:', error);
-                        ws.send('Error updating document');
-                    });
-                    break;
-                case 'select':
-                    // Handle select logic
-                    let selectID = data._id;
-                    let docToSelect = db.get(selectID).then((doc) => {
-                        console.log('Selected document:', doc);
-                        ws.send(JSON.stringify(doc));
-                    }).catch((error) => {
-                        console.error('Error selecting document:', error);
-                        ws.send('Error selecting document');
-                    })
-                    break;
-                case 'delete':
-                    // Handle delete by ID logic
-                    let deleteId = data._id;
-                    let docToDelete = db.get(deleteId).then((doc) => {
-                        db.del(deleteId).then((deletedDoc) => {
-                            console.log('Document deleted:', deletedDoc);
-                            ws.send('Document deleted');
-                        }).catch((error) => {
-                            console.error('Error deleting document:', error);
-                            ws.send('Error deleting document');
-                        });
-                    }).catch((error) => {
-                        console.error('Error deleting document:', error);
-                        ws.send('Error deleting document');
-                    });
-                    break;
-                default:
-                    console.log('Unknown message:', message);
-                    break;
-            }
-        });
-    });
-}
-
-async function validate() {
-    // Add validation logic here
-    return true;
-}
-
-async function handleTerminationSignal() {
-    console.info('received termination signal, cleaning up and exiting...');
-    await db.close()
-    await orbitdb.stop()
-    await ipfs.stop()
-    process.exit();
-}
-
-await run()
\ No newline at end of file
diff --git a/orbitdb_kit/orbitv3-slave.js b/orbitdb_kit/orbitv3-slave.js
deleted file mode 100644
index a4cbaa9..0000000
--- a/orbitdb_kit/orbitv3-slave.js
+++ /dev/null
@@ -1,227 +0,0 @@
-import {createOrbitDB, Identities, OrbitDBAccessController} from '@orbitdb/core'
-import {createHelia} from 'helia'
-import {EventEmitter} from "events";
-import {createLibp2p} from 'libp2p'
-import {identify} from '@libp2p/identify'
-import {noise} from '@chainsafe/libp2p-noise'
-import {yamux} from '@chainsafe/libp2p-yamux'
-import {gossipsub} from '@chainsafe/libp2p-gossipsub'
-import {bitswap} from '@helia/block-brokers'
-import {tcp} from '@libp2p/tcp'
-import {mdns} from '@libp2p/mdns'
-import {LevelBlockstore} from 'blockstore-level'
-import {createRequire} from "module";
-import { WebSocketServer } from 'ws'
-
-const require = createRequire(import.meta.url);
-
-const ipfsLibp2pOptions = {
-  transports: [
-    tcp(),
-  ],
-  streamMuxers: [
-    yamux()
-  ],
-  connectionEncryption: [
-    noise()
-  ],
-  peerDiscovery: [
-    mdns({
-      interval: 20e3
-    })
-  ],
-  services: {
-    pubsub: gossipsub({
-      allowPublishToZeroPeers: true
-    }),
-    identify: identify()
-  },
-  connectionManager: {
-  }
-}
-
-EventEmitter.defaultMaxListeners = 20;
-
-let ipfs
-let orbitdb
-let db
-
-async function run () {
-  const argv = require('minimist')(process.argv.slice(2))
-  let ipAddress
-  let dbAddress
-  if (!argv.ipAddress) {
-      ipAddress = "127.0.0.1"
-  } else {
-      ipAddress = argv.ipAddress
-  }
-  if (!argv.dbAddress) {
-      dbAddress = "/orbitdb/zdpuB31L6gJz49erikZSQT3A1erJbid8oUTBrjLtBwjjXe3R5"
-  }
-  else {
-      dbAddress = argv.dbAddress
-  }
-  process.on('SIGTERM', handleTerminationSignal);
-  process.on('SIGINT', handleTerminationSignal);
-  console.info('Script is running. Press CTRL+C to terminate.');
-
-  const libp2p = await createLibp2p({  addresses: {
-      listen: [`/ip4/${ipAddress}/tcp/0`]
-    }, ...ipfsLibp2pOptions})
-  const blockstore = new LevelBlockstore(`./ipfs/2/blocks`)
-  ipfs = await createHelia({blockstore: blockstore, libp2p: libp2p, blockBrokers: [bitswap()]})
-  const identities = await Identities({ ipfs, path: `./orbitdb/2/identities` })
-  const id = "2"
-  const identity = identities.createIdentity({ id })
-  orbitdb = await createOrbitDB({ipfs: ipfs, identities, id: `2`, directory: `./orbitdb/2`})
-
-  db = await orbitdb.open(dbAddress,
-      {type: 'documents',
-        AccessController: OrbitDBAccessController({ write: ["*"], sync: false}),
-      })
-  let oldHeads = await db.log.heads()
-  console.debug(`${new Date().toISOString()} initial heads ${JSON.stringify(Array.from(oldHeads, h => h.payload))}`)
-  await new Promise(r => setTimeout(r, 5000));
-  await db.close()
-  console.debug(`${new Date().toISOString()} opening db for sync`)
-  db = await orbitdb.open(dbAddress,
-      {type: 'documents',
-        AccessController: OrbitDBAccessController({ write: ["*"]}),
-      })
-  db.events.on('join', async (peerId, heads) => {
-    for await (let entry of heads) {
-      console.info(`peer ${peerId} joined with head ${JSON.stringify(entry.payload)}`)
-    }
-    if (oldHeads) {
-      for (let hash of Array.from(oldHeads, h => h.hash)) {
-        let it = db.log.iterator({gt: hash})
-        for await (let entry of it) {
-          console.debug(`new startup entry ${JSON.stringify(entry.payload)}`)
-          oldHeads = [entry]
-        }
-      }
-    }
-  })
-  console.info(`${new Date().toISOString()}running with db address ${db.address}`)
-  const wss = new WebSocketServer({ port: 8888 })
-    wss.on('connection', (ws) => {
-        console.log('New WebSocket connection');
-        ws.on('message', (message) => {
-            message = JSON.parse(message.toString());
-            console.log('Received message:', message);
-            let method = Object.keys(message)[0];
-            let data = message[method];
-            // Handle WebSocket messages here
-            switch (method) {
-                case 'insert':
-                    // Handle insert logic
-                    let insertKey = data._id;
-                    let insertValue = data.content;
-                    console.log('Inserting data: ', insertKey, insertValue);
-                    validate(insertValue).then((result) => {
-                        if (result) {
-                            db.put(data).then(() => {
-                                console.log('Data inserted:', data);
-                                ws.send('Data inserted');
-                            }).catch((error) => {
-                                console.error('Error inserting data:', error);
-                                ws.send('Error inserting data');
-                            });
-                        }
-                        else{
-                            console.error('Data validation failed:', insertValue);
-                            ws.send('Data validation failed');
-                        }
-                    });
-                    break;
-                case 'update':
-                    // Handle update logic
-                    let updateKey = data._id;
-                    let updateValue = data.content;
-                    let updatedDoc = {_id: updateKey, content: updateValue};
-                    let docToUpdate = db.get(updateKey).then((doc) => {
-                        validate(updatedDoc).then((result) => {
-                            db.put(updatedDoc).then(() => {
-                                console.log('Data updated:', data);
-                                ws.send('Data updates');
-                            }).catch((error) => {
-                                console.error('Error updating data:', error);
-                                ws.send('Error updating data');
-                            });
-                        }).catch((error) => {
-                            console.error('Error updating data:', error);
-                            ws.send('Error updating data');
-                        })
-                    }).catch((error) => {
-                        console.error('Error upfating document:', error);
-                        ws.send('Error updating document');
-                    });
-                    break;
-                case 'select':
-                    // Handle select logic
-                    let selectID = data._id;
-                    let docToSelect = db.get(selectID).then((doc) => {
-                        console.log('Selected document:', doc);
-                        ws.send(JSON.stringify(doc));
-                    }).catch((error) => {
-                        console.error('Error selecting document:', error);
-                        ws.send('Error selecting document');
-                    })
-                    break;
-                case 'delete':
-                    // Handle delete by ID logic
-                    let deleteId = data._id;
-                    let docToDelete = db.get(deleteId).then((doc) => {
-                        db.del(deleteId).then((deletedDoc) => {
-                            console.log('Document deleted:', deletedDoc);
-                            ws.send('Document deleted');
-                        }).catch((error) => {
-                            console.error('Error deleting document:', error);
-                            ws.send('Error deleting document');
-                        });
-                    }).catch((error) => {
-                        console.error('Error deleting document:', error);
-                        ws.send('Error deleting document');
-                    });
-                    break;
-                default:
-                    console.log('Unknown message:', message);
-                    break;
-            }
-        });
-    });
-  console.info(`${new Date().toISOString()} getting updates ...`)
-  db.events.on('update', async (entry) => {
-      console.debug(`new head entry op ${entry.payload.op} with value ${JSON.stringify(entry.payload.value)}`)
-      if (oldHeads) {
-        for (let hash of Array.from(oldHeads, h => h.hash)) {
-          let it = db.log.iterator({gt: hash, lte: entry.hash})
-          for await (let entry of it) {
-            console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-            oldHeads = [entry]
-          }
-        }
-      } else {
-        let it = db.log.iterator({lte: entry.hash})
-        for await (let entry of it) {
-          console.debug(`new updated entry ${JSON.stringify(entry.payload)}`)
-          oldHeads = [entry]
-        }
-      }
-  })
-  console.info(`${new Date().toISOString()} searching result: `)
-  let result = await db.query(data => {
-    return data.content === "content 5000"
-  })
-  console.info(`${new Date().toISOString()} result: `, JSON.stringify(result))
-}
-
-async function handleTerminationSignal() {
-  console.info('received termination signal, cleaning up and exiting...');
-  await db.close()
-  await orbitdb.stop()
-  await ipfs.stop()
-  process.exit();
-}
-
-await run()
\ No newline at end of file
diff --git a/orbitdb_kit/package.json b/orbitdb_kit/package.json
deleted file mode 100644
index 9ebe341..0000000
--- a/orbitdb_kit/package.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "name": "agwp2pdb",
-  "version": "1.0.0",
-  "description": "AGW P2P distributed database",
-  "main": "orbit.js",
-  "type": "module",
-  "scripts": {
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "keywords": [
-    "AGW",
-    "P2P",
-    "orbit"
-  ],
-  "author": "Karsten Ohme",
-  "license": "UNLICENSED",
-  "dependencies": {
-    "@chainsafe/libp2p-gossipsub": "^11.1.0",
-    "@chainsafe/libp2p-noise": "^15.0.0",
-    "@helia/block-brokers": "^1.0.0",
-    "@libp2p/bootstrap": "^10.0.12",
-    "@libp2p/circuit-relay-v2": "^1.0.12",
-    "@libp2p/mdns": "^10.0.12",
-    "@libp2p/tcp": "^9.0.12",
-    "@libp2p/webrtc": "^4.0.16",
-    "@libp2p/websockets": "^8.0.12",
-    "@orbitdb/core": "^2.0.1",
-    "blockstore-level": "^1.1.7",
-    "bson": "^6.2.0",
-    "helia": "^3.0.1",
-    "libp2p": "^1.2.0",
-    "minimist": "^1.2.8",
-    "private-ip": "^3.0.2",
-    "uuid": "^9.0.1"
-  }
-}
diff --git a/orbitdb_kit/websocket_test_master.js b/orbitdb_kit/websocket_test_master.js
deleted file mode 100644
index faf6314..0000000
--- a/orbitdb_kit/websocket_test_master.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import { WebSocket } from 'ws';
-
-export default async function main(){
-    const ws = new WebSocket('ws://localhost:8080');
-    ws.on('open', () => {
-        ws.send(JSON.stringify({'insert': { _id: '1', content: 'content 1' }}))
-
-        ws.send(JSON.stringify({'select': { _id: '1' }}))
-        
-        ws.send(JSON.stringify({"update": { _id: '1', content: 'content 2' }}))
-        
-        ws.send(JSON.stringify({'delete': { _id: '1' }}))
-    });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main();
\ No newline at end of file
diff --git a/orbitdb_kit/websocket_test_slave.js b/orbitdb_kit/websocket_test_slave.js
deleted file mode 100644
index c3bcbe7..0000000
--- a/orbitdb_kit/websocket_test_slave.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import { WebSocket } from 'ws';
-
-export default async function main(){
-    const ws = new WebSocket('ws://localhost:8888');
-    ws.on('open', () => {
-        ws.send(JSON.stringify({'insert': { _id: '1', content: 'content 1' }}))
-
-        ws.send(JSON.stringify({'select': { _id: '1' }}))
-        
-        ws.send(JSON.stringify({"update": { _id: '1', content: 'content 2' }}))
-        
-        ws.send(JSON.stringify({'delete': { _id: '1' }}))
-    });
-    ws.on('message', (message) => {
-        console.log('Received message:', message.toString());
-    });
-}
-
-main();
\ No newline at end of file
diff --git a/orbitdb_kit/yarn.lock b/orbitdb_kit/yarn.lock
deleted file mode 100644
index b3f46c1..0000000
--- a/orbitdb_kit/yarn.lock
+++ /dev/null
@@ -1,6371 +0,0 @@
-# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
-# yarn lockfile v1
-
-
-"@achingbrain/nat-port-mapper@^1.0.13":
-  version "1.0.13"
-  resolved "https://registry.npmjs.org/@achingbrain/nat-port-mapper/-/nat-port-mapper-1.0.13.tgz"
-  integrity sha512-B5GL6ILDek72OjoEyFGEuuNYaEOYxO06Ulhcaf/5iQ4EO8uaZWS+OkolYST7L+ecJrkjfaSNmSAsWRRuh+1Z5A==
-  dependencies:
-    "@achingbrain/ssdp" "^4.0.1"
-    "@libp2p/logger" "^4.0.1"
-    default-gateway "^7.2.2"
-    err-code "^3.0.1"
-    it-first "^3.0.1"
-    p-defer "^4.0.0"
-    p-timeout "^6.1.1"
-    xml2js "^0.6.0"
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diff --git a/scraper.js b/scraper.js
deleted file mode 100644
index a0c111d..0000000
--- a/scraper.js
+++ /dev/null
@@ -1,61 +0,0 @@
-import * as huggingface_scraper from './huggingface_scraper/main.js';
-import * as path from 'path';
-import * as process from 'process';
-import { loadConfig, requireConfig } from './config/config.js'
-
-let config = requireConfig("./config/config.toml")
-let local_model_path
-let collection_path
-let ipfs_path
-let uid 
-let operating_system
-
-if (process.platform === 'win32') {
-    operating_system = 'windows'
-} else if (process.platform === 'linux') {
-    operating_system = 'linux'
-} else if (process.platform === 'darwin') {
-    operating_system = 'mac'
-} else {
-    operating_system = 'unknown'
-}
-
-// detect if user is admin
-if (process.getuid && process.getuid() === 0) {
-    uid = 'root'
-} else {
-    // grab username
-    uid = process.env.USER
-}
-
-if (operating_system == 'linux' && uid == 'root') {
-    local_model_path = "/cloudkit-models/"
-    collection_path = "/cloudkit-models/collection.json"
-    ipfs_path = "/ipfs/"
-} else if (operating_system == 'linux' && uid != 'root') {
-    local_model_path = path.join(process.env.HOME, ".cache/huggingface/")
-    collection_path = path.join(process.env.HOME, ".cache/huggingface/collection.json")
-    ipfs_path = path.join(process.env.HOME, ".cache/ipfs/")
-}
-
-config.ipfs_path = ipfs_path
-config.local_model_path = local_model_path
-config.collection_path = collection_path
-
-process.env.mysql_creds = JSON.stringify(config.mysql)
-process.env.s3_creds = JSON.stringify(config.s3)
-process.env.hf_creds = JSON.stringify(config.hf)
-process.env.local_model_path = config.local_model_path
-process.env.collection_path = config.collection_path
-process.env.ipfs_path = config.ipfs_path
-
-const scraper = new huggingface_scraper.Scraper(
-    config.s3,
-    config.hf,
-    config.mysql,
-    config.local_model_path,
-    config.ipfs_path,
-    config.collection_path
-);
-
-scraper.main();
\ No newline at end of file
diff --git a/setup.py b/setup.py
index c8b15ba..542a962 100644
--- a/setup.py
+++ b/setup.py
@@ -2,22 +2,21 @@
 
 setup(
 	name='ipfs_transformers',
-	version='0.0.1',
+	version='0.0.3',
 	packages=[
         'ipfs_transformers',
 	],
 	install_requires=[
-        # 'ipfs_datasets@git+https://github.com/endomorphosis/ipfs_datasets.git',
-        # 'orbitdb_kit@git+https://github.com/endomorphosis/orbitdb_kit.git',
-        'ipfs_kit@git+https://github.com/endomorphosis/ipfs_kit.git',
-        'ipfs_model_manager@git+https://github.com/endomorphosis/ipfs_model_manager.git',
-        'transformers',
-        'torch',
-        'torchvision',
-        'numpy',
-        'torchtext',
-        'urllib3',
-        'requests',
-        'boto3',
+                'orbitdb_kit@git+https://github.com/endomorphosis/orbitdb_kit.git',
+                'ipfs_kit@git+https://github.com/endomorphosis/ipfs_kit.git',
+                'ipfs_model_manager@git+https://github.com/endomorphosis/ipfs_model_manager.git',
+                'transformers',
+                'torch',
+                'torchvision',
+                'numpy',
+                'torchtext',
+                'urllib3',
+                'requests',
+                'boto3',
 	]
 )