> 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/fr/commencer/install.md).

# Installation d'Unsloth

Unsloth peut être installé de trois manières différentes : **Unsloth Desktop**, l’application native ; **Unsloth Studio**, l’interface web basée sur le navigateur ; ou **Unsloth Core**, le package Python original basé sur le code.

### Unsloth Desktop

Téléchargez l’application de bureau native pour votre système d’exploitation :

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

### Unsloth Studio

**Unsloth Studio** est l’interface web basée sur le navigateur. Utilisez ces commandes uniquement pour une installation manuelle de Studio.

**macOS, Linux et WSL :**

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

**Windows PowerShell :**

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

Lancez Studio avec :

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

Pour les exigences et les options avancées, consultez le [guide d’installation d’Unsloth Studio](https://unsloth.ai/docs/new/studio/install).

### Unsloth Core

**Unsloth Core** est le package Python original pour l’entraînement et l’inférence basés sur le code. Suivez le [guide uv, pip et environnement virtuel](https://unsloth.ai/docs/get-started/install/pip-install).

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---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
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```

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