62 lines
1.9 KiB
Markdown
62 lines
1.9 KiB
Markdown
|
||
# llama-cpp-python - MacOS Install with Metal GPU
|
||
|
||
|
||
**(1) Make sure you have xcode installed... at least the command line parts**
|
||
```
|
||
# check the path of your xcode install
|
||
xcode-select -p
|
||
|
||
# xcode installed returns
|
||
# /Applications/Xcode-beta.app/Contents/Developer
|
||
|
||
# if xcode is missing then install it... it takes ages;
|
||
xcode-select --install
|
||
```
|
||
|
||
**(2) Install the conda version for MacOS that supports Metal GPU**
|
||
```
|
||
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh
|
||
bash Miniforge3-MacOSX-arm64.sh
|
||
```
|
||
|
||
**(3) Make a conda environment**
|
||
```
|
||
conda create -n llama python=3.9.16
|
||
conda activate llama
|
||
```
|
||
|
||
**(4) Install the LATEST llama-cpp-python.. which, as of just today, happily supports MacOS Metal GPU**
|
||
*(you needed xcode installed in order pip to build/compile the C++ code)*
|
||
```
|
||
pip uninstall llama-cpp-python -y
|
||
CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install -U llama-cpp-python --no-cache-dir
|
||
pip install 'llama-cpp-python[server]'
|
||
|
||
# you should now have llama-cpp-python v0.1.62 installed
|
||
llama-cpp-python 0.1.62
|
||
|
||
```
|
||
|
||
**(4) Download a v3 ggml llama/vicuna/alpaca model**
|
||
- **ggmlv3**
|
||
- file name ends with **q4_0.bin** - indicating it is 4bit quantized, with quantisation method 0
|
||
|
||
https://huggingface.co/vicuna/ggml-vicuna-13b-1.1/blob/main/ggml-vic13b-q4_0.bin
|
||
https://huggingface.co/vicuna/ggml-vicuna-13b-1.1/blob/main/ggml-vic13b-uncensored-q4_0.bin
|
||
https://huggingface.co/TheBloke/LLaMa-7B-GGML/blob/main/llama-7b.ggmlv3.q4_0.bin
|
||
https://huggingface.co/TheBloke/LLaMa-13B-GGML/blob/main/llama-13b.ggmlv3.q4_0.bin
|
||
|
||
|
||
**(6) run the llama-cpp-python API server with MacOS Metal GPU support**
|
||
```
|
||
# config your ggml model path
|
||
# make sure it is ggml v3
|
||
# make sure it is q4_0
|
||
export MODEL=[path to your llama.cpp ggml models]]/[ggml-model-name]]q4_0.bin
|
||
python3 -m llama_cpp.server --model $MODEL --n_gpu_layers 1
|
||
```
|
||
|
||
***Note:** If you omit the `--n_gpu_layers 1` then CPU will be used*
|
||
|
||
|