> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/zh/kai-shi-shi-yong/install.md).

# Unsloth 安装

安装 Unsloth Desktop、Unsloth Studio 或 Unsloth Core。

Unsloth 可以通过三种不同方式安装： [**Unsloth 桌面版**](/docs/zh/desktop.md)，原生应用； [**Unsloth Studio**](/docs/zh/xin/studio.md)，基于浏览器的网页界面；或 **Unsloth Core**，最初的基于代码的 Python 包。

### Unsloth 桌面版

下载适用于你的操作系统的原生桌面应用：

* <i class="fa-apple">:apple:</i> [下载 macOS 版](https://unsloth.ai/download/mac)
* <i class="fa-windows">:windows:</i> [下载 Windows 版](https://unsloth.ai/download/windows)
* <i class="fa-linux">:linux:</i> [下载 Linux 版](https://unsloth.ai/download/linux)

### Unsloth Studio

**Unsloth Studio** 是基于浏览器的网页界面。仅在手动安装 Studio 时使用这些命令。

**macOS、Linux 和 WSL：**

```bash
curl -fsSL https://unsloth.ai/install.sh | sh
```

**Windows PowerShell：**

```bash
irm https://unsloth.ai/install.ps1 | iex
```

使用以下命令启动 Studio：

```bash
unsloth studio -H 0.0.0.0 -p 8888
```

有关要求和高级选项，请参阅 [Unsloth Studio 安装指南](https://unsloth.ai/docs/new/studio/install).

### Unsloth Core

**Unsloth Core** 是用于基于代码的训练和推理的原始 Python 包。请遵循 [uv、pip 和虚拟环境指南](https://unsloth.ai/docs/get-started/install/pip-install).

<table data-view="cards"><thead><tr><th data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">封面图</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/mac.md">MacOS</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/mac.md">MacOS</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/windows-installation.md">Windows</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/windows-installation.md">Windows</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/pip-install.md">uv, pip install &amp; venv</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/pip-install.md">uv, pip install &amp; venv</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/docker.md">Docker</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/docker.md">Docker</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/linux.md">Linux</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/linux.md">Linux</a></td></tr><tr><td><a href="/docs/zh/ji-chu/amd.md">AMD</a></td><td></td><td><a href="/docs/zh/ji-chu/amd.md">AMD</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/updating.md">Updating</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/updating.md">Updating</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/intel.md">Intel</a></td><td></td><td></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/conda-install.md">Conda</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/conda-install.md">Conda</a></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/vs-code.md">VS Code</a></td><td></td><td></td></tr><tr><td><a href="/docs/zh/kai-shi-shi-yong/install/google-colab.md">Google Colab</a></td><td></td><td><a href="/docs/zh/kai-shi-shi-yong/install/google-colab.md">Google Colab</a></td></tr></tbody></table>


---

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