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The first desktop app to run and train AI models locally.
$ winget install --id UnslothAI.Unsloth --exact --version 0.1.701-betaRun in Command Prompt, PowerShell, or Windows Terminal. Prompts for any agreements.
Unsloth uses EXE (NSIS). The silent install switches are /S.
Unsloth-Desktop-0_1_701_beta-Windows.exe /S
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Unsloth Desktop is the first desktop app to run and train AI models locally, with research, export and deployment from the same open-source app on Windows, macOS and Linux. Run and train LLMs and diffusion models including Kimi K3, MiniMax-H3, Gemma 4, Qwen3.8 and DeepSeek-V4 Flash 0731, with self-healing tool calling, sandboxed code execution, private web search, Deep Research, RAG, MCP and an OpenAI-compatible API.
| Architecture | Type | Scope | Install | Download |
|---|---|---|---|---|
| x64 | EXE NSIS | user | Direct |
Copy a command tailored to that specific architecture, type, and scope - useful when winget would otherwise pick a different default.
No known CVEs for Unsloth.
Coverage is best-effort and depends on a winget package mapping to an NVD CPE entry. Absence here is not a guarantee of safety.
More from Unsloth AI or browse ai, deep-learning, diffusion.