gemma-2

Here are 8 public repositories matching this topic...

aimagelab / LLaVA-MORE

[ICCVW 25] LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

vision-and-language llms llava siglip multimodal-llms llama3 llava-llama3 llama3-vision gemma-2 llama3-1 deepseek-r1 siglip2

Updated Aug 8, 2025
Python

srx7703 / multi-horizon-financial-llm

Star

Domain-specialized Gemma 2 27B + Gemma 4 31B for SEC filings — fine-tuned on TPU v6e-8 with PyTorch/XLA FSDPv2, plus a Vertex AI Vector Search RAG demo (69 tickers × 381 filings). Same LoRA recipe, +3.5% / +5.8% BERTScore F1.

finance lora knowledge-distillation gemma tpu peft sec-filings rag streamlit pytorch-xla vertex-ai bertscore gemma-2 gemma-4

Updated Apr 26, 2026
Python

EliasK93 / BGE-M3-and-Gemma-2-for-retrieval-augmented-generation

Star

Example application for using the BGE-M3 embedding model and Google's Gemma-2-9B-Instruct generation model in a LangChain-based RAG pipeline to answer Lord of the Rings trivia questions

nlp rag langchain langchain-python bge-m3 gemma-2

Updated Sep 12, 2024
Python

Miguell-J / Google-Competition-Gemma-2

Star

Fine-tuning of Gemma 2 model in Google Competition using a dataset of Chinese poetry. The goal is to adapt the model to generate Chinese poetry in a classical style by training it on a subset of poems. The fine-tuning process leverages LoRA (Low-Rank Adaptation) for efficient model adaptation.

linguistics kaggle-competition fine-tuning llm gemma-2

Updated Feb 11, 2025
Jupyter Notebook

zhongruikang81-sudo / FW-SE-Latent-Diagnostics

Star

Zero-shot, unsupervised latent phase diagnostics and Format Dominance analysis in LLMs.

ai-safety mechanistic-interpretability gemma-2 llm-geometry activation-whitening

Updated Jun 8, 2026
Python

augstentatious / UnSwagAI

Star

Packet-Switched Attention for stable 2-bit quantized MoE inference, with variance-aware routing and Protocol C benchmarks.

flax quantization pallas fine-tuning efficient-inference tpu jax xla mixture-of-experts memory-optimization sparse-attention opensource-ai gemma-2 llm-efficiency protocol-c

Updated May 14, 2026
Python

alrezesi / Multi-Agent-RAG

Star

A production-ready Multi-Agent RAG system with 4 specialized agents (Retriever, Planner, Reasoner, Answer), Redis cache, SSE streaming, conversation memory, and comprehensive evaluation. Supports Persian/English queries with local LLM (Gemma 2) and free API (Nemotron 3 Ultra). Built with FastAPI, LangChain, ChromaDB, and BGE-M3 embeddings.