mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-26 14:20:40 +01:00
78 lines
2.9 KiB
Docker
78 lines
2.9 KiB
Docker
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as builder
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw apt-get update && \
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apt-get install --no-install-recommends -y git vim build-essential python3-dev python3-venv && \
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rm -rf /var/lib/apt/lists/*
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RUN git clone --depth=1 https://github.com/oobabooga/GPTQ-for-LLaMa /build
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WORKDIR /build
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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python3 -m venv /build/venv && \
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. /build/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 && \
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pip3 install -r requirements.txt
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# https://developer.nvidia.com/cuda-gpus
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# for a rtx 2060: ARG TORCH_CUDA_ARCH_LIST="7.5"
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ARG TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX}"
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RUN . /build/venv/bin/activate && \
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python3 setup_cuda.py bdist_wheel -d .
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FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
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LABEL maintainer="Your Name <your.email@example.com>"
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LABEL description="Docker image for GPTQ-for-LLaMa and Text Generation WebUI"
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw apt-get update && \
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apt-get install --no-install-recommends -y python3-dev libportaudio2 libasound-dev git python3 python3-pip make g++ ffmpeg && \
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rm -rf /var/lib/apt/lists/*
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RUN --mount=type=cache,target=/root/.cache/pip,rw pip3 install virtualenv
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RUN mkdir /app
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WORKDIR /app
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ARG WEBUI_VERSION
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RUN test -n "${WEBUI_VERSION}" && git reset --hard ${WEBUI_VERSION} || echo "Using provided webui source"
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# Create virtualenv
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RUN virtualenv /app/venv
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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. /app/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch --index-url https://download.pytorch.org/whl/cu118 && \
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pip3 install torchvision torchaudio sentence_transformers xformers
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# Copy and install GPTQ-for-LLaMa
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COPY --from=builder /build /app/repositories/GPTQ-for-LLaMa
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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. /app/venv/bin/activate && \
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pip3 install /app/repositories/GPTQ-for-LLaMa/*.whl
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# Install main requirements
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COPY requirements.txt /app/requirements.txt
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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. /app/venv/bin/activate && \
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pip3 install -r requirements.txt
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COPY . /app/
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RUN cp /app/venv/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda118.so /app/venv/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so
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# Install extension requirements
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RUN --mount=type=cache,target=/root/.cache/pip,rw \
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. /app/venv/bin/activate && \
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for ext in /app/extensions/*/requirements.txt; do \
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cd "$(dirname "$ext")"; \
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pip3 install -r requirements.txt; \
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done
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ENV CLI_ARGS=""
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EXPOSE ${CONTAINER_PORT:-7860} ${CONTAINER_API_PORT:-5000} ${CONTAINER_API_STREAM_PORT:-5005}
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CMD . /app/venv/bin/activate && python3 server.py ${CLI_ARGS}
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