FROM rust:1.65 as router-builder WORKDIR /usr/src COPY rust-toolchain.toml rust-toolchain.toml COPY proto proto COPY router router WORKDIR /usr/src/router RUN cargo install --path . FROM rust:1.65 as launcher-builder WORKDIR /usr/src COPY rust-toolchain.toml rust-toolchain.toml COPY launcher launcher WORKDIR /usr/src/launcher RUN cargo install --path . FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 ENV LANG=C.UTF-8 \ LC_ALL=C.UTF-8 \ DEBIAN_FRONTEND=noninteractive \ MODEL_BASE_PATH=/data \ MODEL_ID=bigscience/bloom-560m \ QUANTIZE=false \ NUM_GPUS=1 \ SAFETENSORS_FAST_GPU=1 \ PORT=80 \ CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \ NCCL_ASYNC_ERROR_HANDLING=1 \ CUDA_HOME=/usr/local/cuda \ LD_LIBRARY_PATH="/opt/miniconda/envs/text-generation/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" \ CONDA_DEFAULT_ENV=text-generation \ PATH=$PATH:/opt/miniconda/envs/text-generation/bin:/opt/miniconda/bin:/usr/local/cuda/bin SHELL ["/bin/bash", "-c"] RUN apt-get update && apt-get install -y unzip curl libssl-dev && rm -rf /var/lib/apt/lists/* RUN cd ~ && \ curl -L -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ chmod +x Miniconda3-latest-Linux-x86_64.sh && \ bash ./Miniconda3-latest-Linux-x86_64.sh -bf -p /opt/miniconda && \ conda create -n text-generation python=3.9 -y WORKDIR /usr/src COPY server/Makefile server/Makefile # Install specific version of torch RUN cd server && make install-torch # Install specific version of transformers RUN cd server && BUILD_EXTENSIONS="True" make install-transformers # Install server COPY proto proto COPY server server RUN cd server && \ make gen-server && \ /opt/miniconda/envs/text-generation/bin/pip install ".[bnb]" --no-cache-dir # Install router COPY --from=router-builder /usr/local/cargo/bin/text-generation-router /usr/local/bin/text-generation-router # Install launcher COPY --from=launcher-builder /usr/local/cargo/bin/text-generation-launcher /usr/local/bin/text-generation-launcher CMD HUGGINGFACE_HUB_CACHE=$MODEL_BASE_PATH text-generation-launcher --num-shard $NUM_GPUS --model-name $MODEL_ID --json-output