Bronze I
1,430 Elo
- #7,091 on the ladder
- +3 today · −10 this week
- Peak 1,443
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
oumi-ai/oumi is #7,091 on the bestofgithub Elo ladder, in Bronze I, with a rating of 1,430 (−10 this week). It has 9,433 stars, 4 gained in the last week.
1,430 Elo
9,433
git clone https://github.com/oumi-ai/oumi.gitAgent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
git clone https://github.com/OpenPipe/ART.gitLocal UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
brew install --cask unslothSGLang is a high-performance serving framework for large language models and multimodal models.
git clone https://github.com/sgl-project/sglang.gitFine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
pipx install soup-cliRun Llama, Gemma, Qwen and other open models locally behind a simple CLI and REST API.
curl -fsSL https://ollama.com/install.sh | shUnified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
git clone https://github.com/hiyouga/LlamaFactory.gitLoading README…