unsloth
by unslothaiLocal UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under AI Model Training in Artificial Intelligence, a category made for creators, businesses, students and developers who want to use AI without getting lost in research papers.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Maintained · Last code update: 06 Apr 2026 · Created: 30 Dec 2024 · Open issues: 7
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 3132 stars · 🍴 528 forks · 🐛 7 open issues · 💻 Language: Jupyter Notebook · 📄 License: MIT · Default branch: main
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
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