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About
Open-source desktop app to run and fine-tune AI models.
Catalogue
No. 214
Category
Development
GitHub stars
★ 0
Unsloth website

Overview

Unsloth is a desktop app to run and train AI models on your own hardware. It works on Windows, Linux, WSL and macOS, with multi-GPU, NVIDIA, AMD, Intel, CPU and Vulkan support, and installs through a script, Docker, Homebrew or Winget.

What it does well

Unsloth fine-tunes LLMs, diffusion, TTS and embedding models about 2x faster with 70% less VRAM, according to the project, and supports LoRA, QLoRA, full fine-tuning, pretraining and reinforcement learning. It also runs models locally with web search and RAG, serves them through an OpenAI-compatible API, connects them to tools like Claude Code and Codex, and exports to GGUF.

Why it’s in the collection

Unsloth made fine-tuning open models practical on a single GPU, and now wraps running and training in one desktop app. It is Apache-licensed.

On GitHub

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Languages

  • Python 72%
  • TypeScript 22.8%
  • PowerShell 1.6%
  • Shell 1.5%
  • Other 2.1%

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