diff --git a/README.md b/README.md
index ad5d0f1..f97ea0f 100644
--- a/README.md
+++ b/README.md
@@ -113,6 +113,10 @@ See the above instructions and set `CMAKE_ARGS` to the BLAS backend you want to
 
 ### MacOS Notes
 
+Detailed MacOS Metal GPU install documentation is available at [docs/install/macos.md](https://llama-cpp-python.readthedocs.io/en/latest/install/macos/)
+
+#### M1 Mac Performance Issue
+
 Note: If you are using Apple Silicon (M1) Mac, make sure you have installed a version of Python that supports arm64 architecture. For example:
 ```
 wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh
@@ -120,7 +124,13 @@ bash Miniforge3-MacOSX-arm64.sh
 ```
 Otherwise, while installing it will build the llama.cpp x86 version which will be 10x slower on Apple Silicon (M1) Mac.
 
-Detailed MacOS Metal GPU install documentation is available at [docs/install/macos.md](https://llama-cpp-python.readthedocs.io/en/latest/install/macos/)
+#### M Series Mac Error: `(mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64'))`
+
+Try installing with
+
+```
+CMAKE_ARGS="-DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_APPLE_SILICON_PROCESSOR=arm64 -DLLAMA_METAL=on" pip install --upgrade --verbose --force-reinstall --no-cache-dir llama-cpp-python
+```
 
 ### Upgrading and Reinstalling