nvfp4_gguf_quant/llama.cpp/ci/README-MUSA.md

Running MUSA CI in a Docker Container

Assuming $PWD is the root of the llama.cpp repository, follow these steps to set up and run MUSA CI in a Docker container:

1. Create a local directory to store cached models, configuration files and venv:

mkdir -p $HOME/llama.cpp/ci-cache

2. Create a local directory to store CI run results:

mkdir -p $HOME/llama.cpp/ci-results

3. Start a Docker container and run the CI:

docker run --privileged -it \
    -v $HOME/llama.cpp/ci-cache:/ci-cache \
    -v $HOME/llama.cpp/ci-results:/ci-results \
    -v $PWD:/ws -w /ws \
    registry.mthreads.com/mcconline/musa_sdk:5.2.0-devel-ubuntu22.04-s5000

Inside the container, execute the following commands:

apt update -y && apt install -y bc cmake ccache git python3.10-venv time unzip wget musa-mualg-5-2 musa-muthrust-5-2 libmthreads-compute
git config --global --add safe.directory /ws
GG_BUILD_MUSA=1 bash ./ci/run.sh /ci-results /ci-cache

This setup ensures that the CI runs within an isolated Docker environment while maintaining cached files and results across runs.