Add new file

docker/Dockerfile

+FROM --platform=amd64 nvcr.io/nvidia/cuda:12.1.0-devel-ubuntu22.04 as base
+
+WORKDIR /workspace
+
+RUN apt update && \
+    apt install -y python3-pip python3-packaging \
+    git ninja-build && \
+    pip3 install -U pip
+
+# Tweak this list to reduce build time
+# https://developer.nvidia.com/cuda-gpus
+ENV TORCH_CUDA_ARCH_LIST "7.0;7.2;7.5;8.0;8.6;8.9;9.0"
+
+RUN pip3 install "torch==2.1.1"
+
+# This build is slow but NVIDIA does not provide binaries. Increase MAX_JOBS as needed.
+RUN pip3 install "git+https://github.com/stanford-futuredata/megablocks.git"
+RUN pip3 install "git+https://github.com/vllm-project/vllm.git"
+RUN pip3 install "xformers==0.0.23" "transformers==4.36.0" "fschat[model_worker]==0.2.34"
+
+RUN git clone https://github.com/NVIDIA/apex && \
+    cd apex && git checkout 2386a912164b0c5cfcd8be7a2b890fbac5607c82 && \
+    sed -i '/check_cuda_torch_binary_vs_bare_metal(CUDA_HOME)/d' setup.py && \
+    python3 setup.py install --cpp_ext --cuda_ext
+
+
+COPY entrypoint.sh .
+
+RUN chmod +x /workspace/entrypoint.sh
+
+ENTRYPOINT ["/workspace/entrypoint.sh"]
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