tabby/website/docs/self-hosting/02-apple.md

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# 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:
1. Download the `tabby` binary from the Release page [here](https://github.com/TabbyML/tabby/releases/tag/latest).
2. Run `tabby --help` to verify successful installation.
3. Start the server with `tabby serve model --models TabbyML/T5P-220M`.
:::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).