Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

Efficient Triton Kernels for LLM Training

The easiest way to use the Ollama API in .NET

NetExtract: Efficiently extract core content from any webpage and convert it to clean, LLM-optimized Markdown with a simple API.

Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform

Ukrainian Telegram bot assistant for freshmen based on RAG with LLM

Serverless AI Inference with Gemma 2 using Mozilla's llamafile on AWS Lambda

Gemma2 2b model that fine tuned with an e-commerce data.

AI Discord Bot (GEMM-X) is an intelligent assistant for Discord, leveraging AI technologies from multiple providers to generate images, create music, produce speech, and more. It supports custom personality settings and advanced user/server configurations.

Craft fortunes using Gemma2 (2B)

Finetuning of Gemma-2 2B for structured output

Major update for my personal website. Build with Next 14, LangChain, Google AI Platform, Open-LLM (Llama-3, Gemma 2, Mixtral), Groq Cloud, Wikipedia Retrieval, Upstash Redis and Vector, Splitbee, Notion as CMS, attention-based retrieval system, and AI Agent.

ask LLMs in the terminal

The chatbot based on the Gemma 2 model, delivering professional healthcare information to patients quickly and accurately.

Example application for applying QLoRA-based Parameter-Efficient Fine-Tuning (PEFT) to a Stance Detection task using Gemma-2-9B-Instruct

⚗️ Gemma 2 9B model instruct repository

Using gemma2 locally with RAG and langchain

This project focuses on efficient machine translation for nine Indic languages using the fine-tuned Gemma2-2B LLM and adapter switching, reducing computational overhead. It also leverages agentic methods and the Groq API for quality assurance and accurate translation analysis between source and target segments.