MengqingCao 3b499948a5 update docker files
1. add docker-npu (Dockerfile and docker-compose.yml)
  2. move cuda docker to docker-cuda and tiny changes to adapt to the new path


Former-commit-id: d7207e8ad10c7df6dcb1f5e59ff8eb06f9d77e67
2024-06-24 10:57:36 +00:00

41 lines
1.1 KiB
Docker

# Using ubuntu 22.04 images with cann 8.0.rc1
# More options can be found at https://hub.docker.com/r/cosdt/cann/tags
FROM cosdt/cann:8.0.rc1-910b-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
# Define installation arguments
ARG INSTALL_DEEPSPEED=false
ARG PIP_INDEX=https://pypi.org/simple
# Set the working directory
WORKDIR /app/LLaMA-Factory
RUN cd /app && \
git config --global http.version HTTP/1.1 && \
git clone https://github.com/hiyouga/LLaMA-Factory.git && \
cd /app/LLaMA-Factory
RUN pip config set global.index-url $PIP_INDEX
RUN python3 -m pip install --upgrade pip
# Install the LLaMA Factory
RUN EXTRA_PACKAGES="torch-npu,metrics"; \
if [ "$INSTALL_DEEPSPEED" = "true" ]; then \
EXTRA_PACKAGES="${EXTRA_PACKAGES},deepspeed"; \
fi; \
pip install -e .[$EXTRA_PACKAGES] && \
pip uninstall -y transformer-engine flash-attn
# Set up volumes
VOLUME [ "/root/.cache/huggingface/", "/app/data", "/app/output" ]
# Expose port 7860 for the LLaMA Board
EXPOSE 7860
# Expose port 8000 for the API service
EXPOSE 8000
# Launch LLaMA Board
CMD [ "llamafactory-cli", "webui" ]