Dockerfile

FROM public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:latest

# -----------------------------
# ENV Variables
# -----------------------------

ENV DEBIAN_FRONTEND=noninteractive
ENV HF_HOME=/opt/hf
ENV VLLM_CPU_KVCACHE_SPACE=8
ENV OMP_NUM_THREADS=2
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
ENV VLLM_ARGS="--dtype auto"
ENV VLLM_CPU_OMP_THREADS_BIND=0-29

# -----------------------------
# Install dependencies
# -----------------------------

# Install lscpu & tini
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
    util-linux procps numactl tini curl ca-certificates && \
    rm -rf /var/lib/apt/lists/*

# -----------------------------
# Install vLLM
# -----------------------------
# RUN python3 -m pip install --no-cache-dir vllm==0.10.0

# -----------------------------
# Create mock lscpu
# -----------------------------
RUN mkdir -p /usr/local/bin && \
    echo '#!/bin/bash' > /usr/local/bin/lscpu && \
    echo 'cat <<EOF' >> /usr/local/bin/lscpu && \
    echo '{' >> /usr/local/bin/lscpu && \
    echo '  "CPU(s)": "4",' >> /usr/local/bin/lscpu && \
    echo '  "On-line CPU(s) list": "0-3",' >> /usr/local/bin/lscpu && \
    echo '  "Thread(s) per core": "1",' >> /usr/local/bin/lscpu && \
    echo '  "Core(s) per socket": "4",' >> /usr/local/bin/lscpu && \
    echo '  "Socket(s)": "1",' >> /usr/local/bin/lscpu && \
    echo '  "NUMA node(s)": "1"' >> /usr/local/bin/lscpu && \
    echo '}' >> /usr/local/bin/lscpu && \
    echo 'EOF' >> /usr/local/bin/lscpu && \
    chmod +x /usr/local/bin/lscpu

# Make sure our mock is used first
ENV PATH=/usr/local/bin:$PATH

# -----------------------------
# Expose port
# -----------------------------
EXPOSE 7860


# -----------------------------
# Checkpoints
# -----------------------------
RUN cat /etc/os-release
RUN vllm -v
RUN pip show vllm
RUN pip list


# -----------------------------
# Start vLLM
# -----------------------------
CMD ["python3", "-m", "vllm.entrypoints.openai.api_server", \
     "--model", "unsloth/Llama-3.2-1B-bnb-4bit", \
     "--host", "0.0.0.0", \
     "--port", "7860", \
     "--tensor-parallel-size", "1", \
     "--gpu-memory-utilization", "0.0"]