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docs: add homebrew instructions for tabby (#411)

release-0.2
Meng Zhang 2023-09-07 22:04:35 +08:00 committed by GitHub
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# Mac M1/M2 (Preview) # 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: 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:
1. Download the tabby binary from the latest Release page, rename it to `tabby`, place it in a directory included in your `$PATH` variable, and ensure its permissions are set to executable (e.g., 755).
3. Run `tabby --help` to verify successful installation.
3. Start the server with:
```bash ```bash
tabby serve --model TabbyML/T5P-220M brew tap TabbyML/tabby
``` brew install --HEAD tabby
# Start server with CodeLlama
tabby serve --device metal --model TabbyML/CodeLlama-7B
```
:::tip :::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). 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).
:::