# Mac M1/M2 (Preview)

Thanks to Apple's Accelerate and CoreML frameworks, we can now run Tabby on edge devices with reasonable inference speed. Follow the steps below to set it up using homebrew:

```bash
brew tap TabbyML/tabby
brew install --HEAD tabby

# Start server with CodeLlama
tabby serve --device metal --model TabbyML/CodeLlama-7B
```

:::tip
The compute power of M1/M2 is limited and is likely to be sufficient only for individual usage. If you require a shared instance for a team, we recommend considering Docker hosting with CUDA. You can find more information about Docker [here](./docker).
:::