Unsloth
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more. The project is written primarily in Python, released under Apache-2.0, and has 74,615 stars and 6,746 forks on GitHub. 288 contributors have committed to it, and the most recent push was 2026-08-24. The latest tagged release is v0.1.801-beta (2026-08-20). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-24
Releases
-
v0.1.801-betaAuto compaction (preview) + LAN Remote Access -
v0.1.800-betaQwen3.8-27B -
v0.1.702-betav0.1.702-beta -
v0.1.701-betaIntroducing Unsloth Desktop 🦥 -
v0.1.70-betaIntroducing Unsloth Desktop 🦥 -
v0.1.62-betaUnsloth v0.1.62-beta
Pros and cons
Pros
Cons
User reviews
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