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# Use the specified base image for llama.cpp
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FROM ghcr.io/ggml-org/llama.cpp:full
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# Set the working directory inside the container
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WORKDIR /app
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# We install Python tools and ensure the environment is set up.
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RUN apt update && apt install -y \
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python3 \
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python3-pip \
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python3-venv \
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# Optional: Add basic network utilities for robustness
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curl \
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wget
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# 2. Create and set up a virtual environment for clean dependency management
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# 3. Install Python packages
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# Install huggingface_hub, which is necessary for downloading models
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RUN pip install -U pip huggingface_hub
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from huggingface_hub import hf_hub_download
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repo = "HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive"
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print(f"Downloading model files from repo: {repo}")
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# Download the main GGUF file
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hf_hub_download(repo_id=repo, filename="Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf", local_dir="/app")
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# Download the matrix multiplication projection file
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hf_hub_download(repo_id=repo, filename="mmproj-Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-f16.gguf", local_dir="/app")
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print("Model download complete.")
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'
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# 5. Define the command to run the llama.cpp server
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CMD ["--server", \
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"-m", "/app/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf", \
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"--mmproj", "/app/mmproj-Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-f16.gguf", \
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"--cache-type-k", "q8_0", \
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"--cache-type-v", "iq4_nl", \
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"-c", "128000", \
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"-n", "38912"]
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FROM ghcr.io/ggml-org/llama.cpp:full
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WORKDIR /app
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RUN apt update && apt install -y python3 python3-pip python3-venv
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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RUN pip install -U pip huggingface_hub
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RUN python3 -c 'from huggingface_hub import hf_hub_download; \
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repo="HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive"; \
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hf_hub_download(repo_id=repo, filename="Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf", local_dir="/app"); \
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hf_hub_download(repo_id=repo, filename="mmproj-Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-f16.gguf", local_dir="/app")'
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CMD ["--server", \
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"-m", "/app/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf", \
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"--mmproj", "/app/mmproj-Gemma-4-E2B-Uncensored-HauhauCS-Aggressive-f16.gguf", \
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"--cache-type-k", "q8_0", \
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"--cache-type-v", "iq4_nl", \
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"-c", "128000", \
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"-n", "38912"]
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