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Introducing Unsloth Desktop π¦₯
The first desktop app to run and train models locally.
β’ Open-source. Runs on Mac, Windows and Linux
β’ Supports MLX, diffusion image/video, audio, GGUF
β’ Connect Claude Code and Codex to local LLMs
β’ 50% more accurate, self-healing tool calls + sandboxed code exec
β’ Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
β’ Train models 2Γ faster with 70% less VRAM
β’ Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
β’ Use Unslothβs OpenAI-compatible API and cloud models
β’ Securely deploy LLMs remotely and access anywhere
Unsloth Desktop is now available on http://unsloth.ai
and GitHub.
GitHub: https://github.com/unslothai/unsl
oth
Blog and Guide: https://unsloth.ai/docs/desktop
The first desktop app to run and train models locally.
β’ Open-source. Runs on Mac, Windows and Linux
β’ Supports MLX, diffusion image/video, audio, GGUF
β’ Connect Claude Code and Codex to local LLMs
β’ 50% more accurate, self-healing tool calls + sandboxed code exec
β’ Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
β’ Train models 2Γ faster with 70% less VRAM
β’ Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
β’ Use Unslothβs OpenAI-compatible API and cloud models
β’ Securely deploy LLMs remotely and access anywhere
Unsloth Desktop is now available on http://unsloth.ai
and GitHub.
GitHub: https://github.com/unslothai/unsl
oth
Blog and Guide: https://unsloth.ai/docs/desktop
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