Unsloth launches desktop app to run and train LLMs locally
thisdudelikesAI · x · 2026-09-16
Unsloth, the popular fine-tuning toolkit (76.2k GitHub stars), released its first native desktop app for running and training LLMs and diffusion models locally. Key points:
- Platforms: native downloads for Windows, macOS, Linux (deb/AppImage), plus a one-line curl install script for macOS/Linux/WSL
- Model support: GGUF and MLX formats, covering a wide range of open models (Qwen, DeepSeek, Gemma, FLUX and more)
- What it does: combines a local UI for running models with Unsloth's training capabilities, so users can fine-tune without notebooks or cloud
The project remains open source with 6.9k forks and 8,600+ commits, marking a shift from a notebook-centric workflow to a consumer-style desktop experience.
Related event: Unsloth Desktop Brings Local Training of 500+ Models(2 posts)→
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