Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.

SGLang is a fast serving framework for large language models and vision language models.

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, GLM4v, Phi4, ...) (AAAI 2025).

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

A simple, performant and scalable Jax LLM!

Make Discord your LLM frontend ● Supports any OpenAI compatible API (Ollama, LM Studio, vLLM, OpenRouter, xAI, Mistral, Groq and more)

Efficient computer use agent powered by Meta Llama 4 Maverick

Comprehensive benchmark of 44 open source language models across creative writing, logic puzzles, counterfactual reasoning, and programming tasks. Tested on Apple M4 Max with detailed performance analysis.

Combining OCR for text extraction with LLMs for accurate, efficient document structuring.

MultiPage Invoice Parser

Repository for BabyLM competition on 3 models in Strict and Strict-small tracks

AlphaExtract is a sophisticated PDF summarization tool that combines cutting-edge AI technology with efficient document processing. The project is built using Python and leverages Meta's LLaMA 4 MOE Maverick model along with Groq's inference engine to provide fast and accurate PDF summaries.

Offline AI journaling app that gives insights based on your entries and runs locally with no cloud or data sharing.

# Open Source Language Model BenchmarkThis repository evaluates 43 open source language models across tasks like creative writing and programming. 🚀 It offers insights into model performance, showing that speed does not always equal accuracy. 🐱💻## OverviewThis benchmark evaluates where we currently stand with open source language models, exa

Streamlit ChatBot App powered by RAG

EcoSnap is a Python-based web application for waste classification and sustainability recommendations.

JBUD is a local AI journaling assistant that prioritizes your privacy and security. With features like smart journaling and AI insights, you can reflect on your thoughts without any data sharing. 📝💻

AlphaExtract is a sophisticated PDF summarization tool that combines cutting-edge AI technology with efficient document processing. The project is built using Python and leverages Meta's LLaMA 4 MOE Maverick model along with Groq's inference engine to provide fast and accurate PDF summaries.