Unsloth AI Introduces Desktop App for Local Models
Users can run and train models on Mac, Windows, and Linux hardware.
Unsloth AI posted an announcement introducing Unsloth Desktop as the first desktop app to run and train models locally. The open-source release supports MLX, GGUF, diffusion image and video models, and audio. It runs on Mac, Windows, Linux, and WSL. Co-founder Daniel Han stated that users can handle inference, training, remote serving, code execution, and tool calls in one interface. Multiple accounts including Paul Graham shared the post, and the company account confirmed the app works across CPU and multi-GPU setups.
Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls +…
