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7f36455 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | # MiniMind Max2 - Efficient Edge LLM
# Docker Hub: sultanafariabd/minimind-max2
FROM python:3.11-slim
LABEL maintainer="MiniMind Team <contact@minimind.ai>"
LABEL org.opencontainers.image.title="MiniMind Max2"
LABEL org.opencontainers.image.description="Efficient LLM with MoE (8 experts, 25% activation) + GQA"
LABEL org.opencontainers.image.version="1.0.0"
LABEL org.opencontainers.image.source="https://huggingface.co/fariasultana/MiniMind"
LABEL org.opencontainers.image.licenses="Apache-2.0"
LABEL ai.model.architecture="MoE+GQA"
LABEL ai.model.parameters="500M-3B"
LABEL ai.model.active_ratio="25%"
ENV PYTHONUNBUFFERED=1
ENV MODEL_VARIANT=max2-nano
ENV PORT=8000
WORKDIR /app
# Install dependencies
RUN pip install --no-cache-dir \
torch>=2.1.0 \
numpy>=1.24.0 \
fastapi>=0.100.0 \
uvicorn>=0.23.0 \
safetensors>=0.4.0 \
pydantic>=2.0.0
# Copy application
COPY serve.py /app/
COPY model_info.json /app/
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=10s --start-period=30s \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
CMD ["python", "serve.py"]
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