Update Dockerfile
Browse files- Dockerfile +19 -42
Dockerfile
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@@ -4,52 +4,29 @@ WORKDIR /app
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# Install Python
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RUN apt-get update && \
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apt-get install -y
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rm -rf /var/lib/apt/lists/*
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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# Install
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RUN pip install --no-cache-dir -
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# Download
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RUN python3 -
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repo_id='Qwen/Qwen2.5-Coder-3B-Instruct-GGUF', \
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filename='qwen2.5-coder-3b-instruct-q4_k_m.gguf', \
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local_dir='/app')"
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"--
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"/app/qwen2.5-coder-3b-instruct-q4_k_m.gguf",
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"--host",
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"0.0.0.0",
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"--port",
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"7860",
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"-t",
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"4",
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"-b",
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"1024",
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"-c",
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"16384",
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"-n",
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"4096",
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"--parallel",
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"1",
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"--cache-type-k",
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"q8_0",
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"--cache-type-v",
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"q8_0"
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]
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# Install Python
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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python3 \
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python3-pip \
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python3-venv && \
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rm -rf /var/lib/apt/lists/*
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# Python Virtual Environment
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:${PATH}"
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# Install Hugging Face Hub
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RUN pip install --no-cache-dir --upgrade pip huggingface_hub
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# Download model during image build
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RUN python3 - <<'PY'
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from huggingface_hub import hf_hub_download
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hf_hub_download(
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repo_id="Qwen/Qwen2.5-Coder-3B-Instruct-GGUF",
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filename="qwen2.5-coder-3b-instruct-q4_k_m.gguf",
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local_dir="/app"
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)
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PY
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# llama.cpp arguments
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CMD ["--server","-m","/app/qwen2.5-coder-3b-instruct-q4_k_m.gguf","--host","0.0.0.0","--port","7860","-t","4","-b","1024","-c","16384","-n","4096","--parallel","1","--cache-type-k","q8_0","--cache-type-v","q8_0"]
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