FROM ubuntu:22.04

# Install required packages (no ninja)
RUN apt-get update && apt-get install -y \
    git cmake build-essential curl wget \
    libcurl4-openssl-dev libssl-dev && \
    rm -rf /var/lib/apt/lists/*

# Clone llama.cpp
RUN git clone https://github.com/ggml-org/llama.cpp /opt/llama.cpp

WORKDIR /opt/llama.cpp

# Build llama-server with CURL and without ninja
RUN mkdir build && cd build && \
    cmake .. -DLLAMA_SERVER=ON -DLLAMA_CURL=ON && \
    make -j$(nproc)


ARG MODEL_URL=https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q8_0.gguf

# Download the Qwen2 0.5B Instruct model
RUN mkdir /models && \
    wget -qO /models/model.gguf \
    ${MODEL_URL}

# Expose server port
EXPOSE 7860

# Run llama-server with parallel slots and continuous batching
ENTRYPOINT ["/opt/llama.cpp/build/bin/llama-server", \
    "-m", "/models/model.gguf", \
    "--threads", "4", "--threads-batch", "4", \
    "--host", "0.0.0.0", "--port", "7860", \
    "-np", "4", "--cont-batching"]