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# Homebrew (Apple M1/M2)
This guide explains how to install Tabby using homebrew.

:::info
Apple M1/M2 support is under **alpha** test.
:::

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
```

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).