16 lines
780 B
Markdown
16 lines
780 B
Markdown
# Mac M1/M2 (Preview)
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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:
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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).
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3. Run `tabby --help` to verify successful installation.
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3. Start the server with:
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```bash
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tabby serve --model TabbyML/T5P-220M
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```
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:::tip
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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).
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