Unsloth AI· @UnslothAI · X·· 2026-08-11精选AI 评分68
AI 导读
Unsloth 发布开源桌面应用 Unsloth Desktop，支持在 Mac、Windows 和 Linux 本地运行和训练模型，已在官网和 GitHub 提供。支持 MLX、扩散图像/视频、音频、GGUF，可连接 Claude Code 和 Codex 到本地 LLM，宣称训练速度提升 2 倍、VRAM 降低 70%，并提供 RAG、MCP、OpenAI 兼容 API 和远程部署等能力。
推荐理由
官方公布产品的主要能力清单和下载入口，读者可据此评估本地运行与训练模型的实际选项。
正文 · 原文
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 + sandboxed code exec
- Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
- Train models 2× faster with 70% less VRAM
- Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
- Use Unsloth’s OpenAI-compatible API and cloud models
- Securely deploy LLMs remotely and access anywhere
Unsloth Desktop is now available on http://unsloth.ai and GitHub.
GitHub: https://github.com/unslothai/unsloth
Blog and Guide: https://unsloth.ai/docs/desktop
来源：Unsloth AI · x.com