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@ -158,28 +158,22 @@ Unsloth can be used in three ways: **[Unsloth Desktop](https://unsloth.ai/downlo
curl -fsSL https://unsloth.ai/install.sh | sh
```
On macOS, you can also install Unsloth Desktop with Homebrew:
```bash
brew install --cask unsloth
```
#### Windows:
```powershell
irm https://unsloth.ai/install.ps1 | iex
```
#### Launch
#### Homebrew:
```bash
unsloth studio
```
#### HTTP Secure Deployment
```bash
unsloth studio --secure
brew install --cask unsloth
```
#### Docker
Use our [Docker image](https://hub.docker.com/r/unsloth/unsloth) ```unsloth/unsloth```. On Linux, set up GPU access once with `curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/main/docker/install_nvidia_toolkit.sh -o install_nvidia_toolkit.sh && sudo -E bash install_nvidia_toolkit.sh` (Windows: [Docker Desktop with WSL 2](https://unsloth.ai/docs/get-started/install/docker)).
Use our [Docker image](https://hub.docker.com/r/unsloth/unsloth) ```unsloth/unsloth```. On Linux and Mac, set up GPU access once with
```bash
curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/main/docker/install_nvidia_toolkit.sh -o install_nvidia_toolkit.sh && sudo -E bash install_nvidia_toolkit.sh
```
For Windows instructions and more information, read our [Unsloth Docker Guide](https://unsloth.ai/docs/get-started/install/docker).
**Linux / WSL (Bash):**
```bash
@ -191,9 +185,19 @@ docker run -d --name unsloth --gpus all --ipc=host \
-v unsloth-studio:/opt/unsloth-studio \
unsloth/unsloth && docker logs -f unsloth
```
See [Docker docs](https://unsloth.ai/docs/get-started/install/docker) for more information. For cloud hosting / global serving, add `-e UNSLOTH_STUDIO_SECURE=1`, drop `-p 8000:8000` and bind JupyterLab to `-p 127.0.0.1:8888:8888`, or bind both to `127.0.0.1` and use an SSH tunnel. Tags (`unsloth/unsloth:core` for notebooks only), GPU support and options: [Docker Hub](https://hub.docker.com/r/unsloth/unsloth).
See [Docker docs](https://unsloth.ai/docs/get-started/install/docker) for more information.<br>For **AMD** there is a separate image: [`unsloth/unsloth-rocm`](https://hub.docker.com/r/unsloth/unsloth-rocm).
On AMD there is a separate image, [`unsloth/unsloth-rocm`](https://hub.docker.com/r/unsloth/unsloth-rocm), with the run command and the supported cards on its [Docker Hub page](https://hub.docker.com/r/unsloth/unsloth-rocm).
---
#### Launch
```bash
unsloth studio
```
#### HTTP Secure Deployment
```bash
unsloth studio --secure
```
#### Remote HTTPS & LAN Access
Server-side tools are on by default - so **be careful**! Keep your password safe, or use `--disable-tools` when exposing Unsloth.