Unsloth AI· @UnslothAI · X·· 12 天前精选AI 评分68
AI 导读
Unsloth 宣布可使用其 Docker 镜像本地训练和运行 500+ 模型,提供新 GUI 和 notebooks 工作流,无需配置,支持 NVIDIA 和 AMD,指南见 https://unsloth.ai/docs/get-started/install/docker。
推荐理由
官方介绍了新 Docker 镜像和 Desktop 应用,列出本地训练运行模型的硬件支持与效率数字,读者可据此评估本地部署方式。
正文 · 原文
You can now train and run 500+ models locally with our Unsloth Docker image! 🐳
Use our new GUI or notebooks workflow. No setup required. Works on NVIDIA and AMD.
Guide: https://unsloth.ai/docs/get-started/install/docker
GitHub: https://github.com/unslothai/unsloth
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在 X 查看被引用的帖子
来源:Unsloth AI · x.com