50 lines
2.2 KiB
Docker
50 lines
2.2 KiB
Docker
#FROM vllm/vllm-openai:v0.19.0-cu130
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#FROM vllm/vllm-openai:deepseekv4-cu130
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FROM vllm/vllm-openai:v0.20.0-cu130
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# Fix the broken ass nightly build that forgot to include pandas
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#RUN pip install --no-cache-dir pandas
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# Install LMCache for KV cache offloading / sharing across nodes
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# Build with system CUDA 13.0 for Blackwell (B200)
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RUN apt-get update && apt-get install -y git \
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libcusolver-dev-13-0 \
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libcusparse-dev-13-0 \
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libcublas-dev-13-0 \
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libcurand-dev-13-0 \
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libcufft-dev-13-0 \
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cuda-nvrtc-dev-13-0 \
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libnvjitlink-dev-13-0 && \
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git clone https://github.com/biondizzle/LMCache.git /tmp/lmcache && \
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cd /tmp/lmcache && \
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git checkout feat/redis-ttl && \
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CUDA_HOME=/usr/local/cuda \
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TORCH_CUDA_ARCH_LIST="10.0" \
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pip install --no-cache-dir --no-build-isolation . && \
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rm -rf /tmp/lmcache && export CACHE_BUSTER=2
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ENV VLLM_DOCKER_BUILD_CONTEXT=1
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# Needs git to be installed before this can run
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#RUN curl -fsSL https://raw.githubusercontent.com/vllm-project/vllm/v0.20.0/tools/install_deepgemm.sh | bash
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# Had to modify this
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COPY ./install_deepgemm.sh /opt/install_deepgemm.sh
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RUN chmod +x /opt/install_deepgemm.sh
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RUN /opt/install_deepgemm.sh
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# Copy over nemotron reasonong parser
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COPY ./super_v3_reasoning_parser.py /opt/super_v3_reasoning_parser.py
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# Copy over deepseek tool call parser with MTP fixes
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COPY deepseekv32_tool_parser.py /usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/deepseekv32_tool_parser.py
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COPY deepseekv4_tool_parser.py /usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/deepseekv4_tool_parser.py
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# Copy over minimax tool call parser with kwargs fixes
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COPY minimax_tool_parser.py /usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/minimax_tool_parser.py
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# Copy over minimax parsers with kwargs fixes
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COPY minimax_tool_parser.py /usr/local/lib/python3.12/dist-packages/vllm/tool_parsers/minimax_tool_parser.py
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COPY minimax_m2_parser.py /usr/local/lib/python3.12/dist-packages/vllm/parser/minimax_m2_parser.py
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# Fix DeepseekV4Config missing max_position_embeddings attr for RoPE standardization
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#COPY deepseek_v4.py /usr/local/lib/python3.12/dist-packages/vllm/transformers_utils/configs/deepseek_v4.py
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