diff --git a/website/docs/02-self-hosting/02-apple.md b/website/docs/02-self-hosting/02-apple.md
index 9db591c..cb4e6b0 100644
--- a/website/docs/02-self-hosting/02-apple.md
+++ b/website/docs/02-self-hosting/02-apple.md
@@ -1,15 +1,15 @@
 # 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
-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
 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).
+:::