diff --git a/README.md b/README.md
index 8282ea5..1c41c80 100644
--- a/README.md
+++ b/README.md
@@ -293,6 +293,8 @@ If you're interested in the field of LLM, you may find the above list of milesto
- [talkd.ai dialog](https://github.com/talkdai/dialog) - Simple API for deploying any RAG or LLM that you want adding plugins.
- [Wllama](https://github.com/ngxson/wllama) - WebAssembly binding for llama.cpp - Enabling in-browser LLM inference
- [GPUStack](https://github.com/gpustack/gpustack) - An open-source GPU cluster manager for running LLMs
+- [auto_llm_chatbot](https://github.com/dipeshpaulsystango/auto_llm_chatbot) - Auto LLM Chatbot is a Python package designed to simplify the development of chatbot applications that use Large Language Models (LLMs). It offers automatic chat history management using a local vector database (ChromaDB), ensuring efficient context retrieval for ongoing conversations. [pypi](https://pypi.org/project/auto-llm-chatbot/)
+
## LLM Applications
- [AdalFlow](https://github.com/SylphAI-Inc/AdalFlow) - AdalFlow: The PyTorch library for LLM applications.
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"
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+ }
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+ "text": [
+ "Collecting airllm\n",
+ " Downloading airllm-2.11.0-py3-none-any.whl.metadata (12 kB)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from airllm) (4.66.5)\n",
+ "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from airllm) (2.5.0+cu121)\n",
+ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (from airllm) (4.44.2)\n",
+ "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (from airllm) (0.34.2)\n",
+ "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from airllm) (0.4.5)\n",
+ "Collecting optimum (from airllm)\n",
+ " Downloading optimum-1.23.2-py3-none-any.whl.metadata (20 kB)\n",
+ "Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from airllm) (0.24.7)\n",
+ "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from airllm) (1.13.1)\n",
+ "Requirement already satisfied: numpy<3.0.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate->airllm) (1.26.4)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate->airllm) (24.1)\n",
+ "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate->airllm) (5.9.5)\n",
+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate->airllm) (6.0.2)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->airllm) (3.16.1)\n",
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->airllm) (2024.6.1)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->airllm) (2.32.3)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->airllm) (4.12.2)\n",
+ "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->airllm) (3.4.2)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->airllm) (3.1.4)\n",
+ "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch->airllm) (1.13.1)\n",
+ "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch->airllm) (1.3.0)\n",
+ "Collecting coloredlogs (from optimum->airllm)\n",
+ " Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n",
+ "Collecting datasets (from optimum->airllm)\n",
+ " Downloading datasets-3.0.2-py3-none-any.whl.metadata (20 kB)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers->airllm) (2024.9.11)\n",
+ "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers->airllm) (0.19.1)\n",
+ "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from transformers[sentencepiece]>=4.29->optimum->airllm) (3.20.3)\n",
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+ "Collecting xxhash (from datasets->optimum->airllm)\n",
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+ "Collecting multiprocess<0.70.17 (from datasets->optimum->airllm)\n",
+ " Downloading multiprocess-0.70.16-py310-none-any.whl.metadata (7.2 kB)\n",
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+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->airllm) (3.4.0)\n",
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+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets->optimum->airllm) (1.16.0)\n",
+ "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from yarl<2.0,>=1.12.0->aiohttp->datasets->optimum->airllm) (0.2.0)\n",
+ "Downloading airllm-2.11.0-py3-none-any.whl (36 kB)\n",
+ "Downloading optimum-1.23.2-py3-none-any.whl (422 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m422.7/422.7 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading datasets-3.0.2-py3-none-any.whl (472 kB)\n",
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+ "\u001b[?25hDownloading xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
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+ "\u001b[?25hInstalling collected packages: xxhash, humanfriendly, dill, multiprocess, coloredlogs, datasets, optimum, airllm\n",
+ "Successfully installed airllm-2.11.0 coloredlogs-15.0.1 datasets-3.0.2 dill-0.3.8 humanfriendly-10.0 multiprocess-0.70.16 optimum-1.23.2 xxhash-3.5.0\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install bitsandbytes"
+ ],
+ "metadata": {
+ "id": "0KOzaNhJQmkj",
+ "outputId": "2164ba15-01e1-4215-f0c5-0beb614a9449",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 5,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Collecting bitsandbytes\n",
+ " Downloading bitsandbytes-0.44.1-py3-none-manylinux_2_24_x86_64.whl.metadata (3.5 kB)\n",
+ "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (2.5.0+cu121)\n",
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+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (3.16.1)\n",
+ "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (4.12.2)\n",
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+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (2024.6.1)\n",
+ "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch->bitsandbytes) (1.13.1)\n",
+ "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch->bitsandbytes) (1.3.0)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->bitsandbytes) (3.0.2)\n",
+ "Downloading bitsandbytes-0.44.1-py3-none-manylinux_2_24_x86_64.whl (122.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m122.4/122.4 MB\u001b[0m \u001b[31m1.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hInstalling collected packages: bitsandbytes\n",
+ "Successfully installed bitsandbytes-0.44.1\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# copy local code for debugging\n",
+ "#!pip show airllm\n",
+ "#!cp ./*.py /usr/local/lib/python3.10/dist-packages/airllm/\n",
+ "#!rm ./airllm.py"
+ ],
+ "metadata": {
+ "id": "BZAkVJczEQ-y"
+ },
+ "execution_count": 2,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test Platypus2"
+ ],
+ "metadata": {
+ "id": "GBGevKQvEMi1"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"unsloth/Meta-Llama-3.1-70B-bnb-4bit\", profiling_mode=True, compression=\"4-bit\", delete_original=True)\n",
+ "#model = AirLLMLlama2(\"garage-bAInd/Platypus2-7B\", profiling_mode=False)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " 'What is the capital of China?',\n",
+ " # 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "eIIw0Qy_GoZt",
+ "outputId": "e9a0682e-1656-4b4f-f0c9-af53edbcd578",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
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+ "6b7ab79673444e81840cbeb39e0b1b8a",
+ "ba17cbcc982346aba001faf31a50a48a",
+ "2f9fc59cbb274f3eba5a55a1ee9a81f5",
+ "2f4600398665488087f7d7e705b95f30",
+ "67b1cd6c6eac4261a35298806a73fabe",
+ "7b1f873ff36346b4b1e8196b627a3b5b",
+ "4f5d2e88dea049ecb51b9c76d6bcb627",
+ "09a6a1958d554527b38903e78ebedbe1",
+ "71b3929db20e452ab7e72aae1298c710",
+ "4cc7652e86ad4d2da55ec16b99d10fbc",
+ "54cad6f6c3a64ed2a1502881a28e7621",
+ "01a9864c6daf47139545d5a67f52b1ef",
+ "0c40fe6f54a748b8a94b980a0e9e404f",
+ "5a6ab3071306468ba4a0507770548e60",
+ "e410e1c553a74752ba60a6bfd2674800",
+ "e047b375c98c4bda971f2f5e9a082532",
+ "2275c79df13844e4a7be698269e4f49b",
+ "71ab7d3f83504faba6d2f9ea2c85ad51",
+ "33e07a92fb9448ee8d320e1afdd3f177",
+ "d477273a04f24342894e09047e85826d",
+ "33efaba9e9954715bf1f866c6a144ab3"
+ ]
+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ ">>>> bitsandbytes installed\n",
+ ">>>> cache_utils installed\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
+ "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
+ "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
+ "You will be able to reuse this secret in all of your notebooks.\n",
+ "Please note that authentication is recommended but still optional to access public models or datasets.\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Fetching 8 files: 0%| | 0/8 [00:00.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "attn imp: \n",
+ "not support prefetching for compression for now. loading with no prepetching mode.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "The class `optimum.bettertransformers.transformation.BetterTransformer` is deprecated and will be removed in a future release.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in .\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "running layers(cuda:0): 1%| | 1/83 [00:11<16:15, 11.90s/it]The attention layers in this model are transitioning from computing the RoPE embeddings internally through `position_ids` (2D tensor with the indexes of the tokens), to using externally computed `position_embeddings` (Tuple of tensors, containing cos and sin). In v4.45 `position_ids` will be removed and `position_embeddings` will be mandatory.\n",
+ "running layers(cuda:0): 100%|██████████| 83/83 [03:40<00:00, 2.65s/it]\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "total time for load_safe_tensor: 4.311135975869149\n",
+ "total time for compression_time: 0.00214770600035763\n",
+ "total time for create_layer_from_safe_tensor: 181.17290115356445\n",
+ "total infer process time(including all above plus gpu compute): 66.8813\n",
+ "total infer wall time(including all above plus gpu compute): 221.8291\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "The class `optimum.bettertransformers.transformation.BetterTransformer` is deprecated and will be removed in a future release.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in .\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "running layers(cuda:0): 100%|██████████| 83/83 [03:44<00:00, 2.71s/it]\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "total time for load_safe_tensor: 4.414340896685076\n",
+ "total time for compression_time: 0.0022276209998608465\n",
+ "total time for create_layer_from_safe_tensor: 185.70089673995972\n",
+ "total infer process time(including all above plus gpu compute): 68.3257\n",
+ "total infer wall time(including all above plus gpu compute): 227.0005\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "The class `optimum.bettertransformers.transformation.BetterTransformer` is deprecated and will be removed in a future release.\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "new version of transfomer, no need to use BetterTransformer, try setting attn impl to sdpa...\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in .\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "attn imp: \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "running layers(cuda:0): 17%|█▋ | 14/83 [00:46<03:04, 2.68s/it]"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "input_text = ['What is the capital of China?']\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "2u65aZ5taEDh"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test llama2"
+ ],
+ "metadata": {
+ "id": "_fpIGhzKMPU1"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!huggingface-cli login"
+ ],
+ "metadata": {
+ "id": "YnvCfQ58MaKB",
+ "outputId": "8cf18a14-9088-44da-fb1f-33e3744797b4",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\n",
+ " _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
+ " _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
+ " _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n",
+ " _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
+ " _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n",
+ "\n",
+ " To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
+ "Token: \n",
+ "Add token as git credential? (Y/n) y\n",
+ "Token is valid (permission: read).\n",
+ "\u001b[1m\u001b[31mCannot authenticate through git-credential as no helper is defined on your machine.\n",
+ "You might have to re-authenticate when pushing to the Hugging Face Hub.\n",
+ "Run the following command in your terminal in case you want to set the 'store' credential helper as default.\n",
+ "\n",
+ "git config --global credential.helper store\n",
+ "\n",
+ "Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.\u001b[0m\n",
+ "Token has not been saved to git credential helper.\n",
+ "Your token has been saved to /root/.cache/huggingface/token\n",
+ "Login successful\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"meta-llama/Llama-2-7b-chat-hf\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "kWinvN8vMO5M",
+ "outputId": "00758af2-9344-4262-d5a8-1644f0d684f2",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
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+ "4c60e290256948b0a69b7feaa9d42eef"
+ ]
+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/614 [00:00 I like to think of'"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 2
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test mistral"
+ ],
+ "metadata": {
+ "id": "jwnmFERfREyx"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"mistralai/Mistral-7B-Instruct-v0.1\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "jA7GQJAKRHEJ",
+ "outputId": "e23ec3dd-ad51-41c6-edb8-5f3ab4060cbc",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
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+ "00d004f99c0040d7aef969a4b8ad2ccd"
+ ]
+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/571 [00:00 I like to think of'"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 3
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# test baichuan"
+ ],
+ "metadata": {
+ "id": "dd2d3KEVZcpV"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"baichuan-inc/Baichuan2-7B-Base\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "RZSrKEqvZeCI",
+ "outputId": "23c15140-5d9f-4f04-c261-00dfe4c32db5",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
+ "referenced_widgets": [
+ "42f8708745de425494f9144a543c0d3f",
+ "40c4f5eda2eb4921a11bb814c82d702e",
+ "c7ba0bba5d82430da7f005ddaee3cfb9",
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+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/716 [00:00=2022.1.18 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2023.6.3)\n",
+ "Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.10/dist-packages (from tiktoken) (2.31.0)\n",
+ "Requirement already satisfied: transformers>=4.26.1 in /usr/local/lib/python3.10/dist-packages (from transformers_stream_generator) (4.35.2)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.3.2)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (3.6)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (2.0.7)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->tiktoken) (2023.11.17)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (3.13.1)\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.19.4)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (1.23.5)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (23.2)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (6.0.1)\n",
+ "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.15.0)\n",
+ "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (0.4.1)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers>=4.26.1->transformers_stream_generator) (4.66.1)\n",
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers>=4.26.1->transformers_stream_generator) (2023.6.0)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers>=4.26.1->transformers_stream_generator) (4.5.0)\n",
+ "Building wheels for collected packages: transformers_stream_generator\n",
+ " Building wheel for transformers_stream_generator (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.4-py3-none-any.whl size=12316 sha256=fd419254d78bdf153856f567cefbc0ba1172d30ba8277bf570d780c150804b77\n",
+ " Stored in directory: /root/.cache/pip/wheels/47/1d/3c/92d88493ed40c0d9be60a391eb76c9a56e9f9b7542cb789401\n",
+ "Successfully built transformers_stream_generator\n",
+ "Installing collected packages: einops, tiktoken, transformers_stream_generator\n",
+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+ "llmx 0.0.15a0 requires cohere, which is not installed.\n",
+ "llmx 0.0.15a0 requires openai, which is not installed.\u001b[0m\u001b[31m\n",
+ "\u001b[0mSuccessfully installed einops-0.7.0 tiktoken-0.5.2 transformers_stream_generator-0.0.4\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from airllm import AutoModel\n",
+ "\n",
+ "MAX_LENGTH = 128\n",
+ "# could use hugging face model repo id:\n",
+ "model = AutoModel.from_pretrained(\"Qwen/Qwen-7B\", profiling_mode=True)\n",
+ "\n",
+ "# or use model's local path...\n",
+ "#model = AirLLMLlama2(\"/home/ubuntu/.cache/huggingface/hub/models--garage-bAInd--Platypus2-70B-instruct/snapshots/b585e74bcaae02e52665d9ac6d23f4d0dbc81a0f\")\n",
+ "\n",
+ "input_text = [\n",
+ " #'What is the capital of China?',\n",
+ " 'I like',\n",
+ " ]\n",
+ "\n",
+ "input_tokens = model.tokenizer(input_text,\n",
+ " return_tensors=\"pt\",\n",
+ " return_attention_mask=False,\n",
+ " truncation=True,\n",
+ " max_length=MAX_LENGTH,\n",
+ " #padding=True\n",
+ " )\n",
+ "\n",
+ "generation_output = model.generate(\n",
+ " input_tokens['input_ids'].cuda(),\n",
+ " max_new_tokens=3,\n",
+ " use_cache=True,\n",
+ " return_dict_in_generate=True)\n",
+ "\n",
+ "model.tokenizer.decode(generation_output.sequences[0])"
+ ],
+ "metadata": {
+ "id": "NzrE0k5umf3b",
+ "outputId": "6f63e427-d7d0-4a7a-e684-29b7b5b5a4e4",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
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+ ]
+ }
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "config.json: 0%| | 0.00/911 [00:00I like to think of'"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 1
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file