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FROM nvidia/cuda:12.1.0-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 && \
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 \
python3 -m venv /build/venv && \
. /build/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch torchvision torchaudio xformers --index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install -r requirements.txt
# https://developer.nvidia.com/cuda-gpus
# 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 && \
python3 setup_cuda.py bdist_wheel -d .
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FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04
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LABEL maintainer = "Your Name <your.email@example.com>"
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
ARG WEBUI_VERSION
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 \
. /app/venv/bin/activate && \
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pip3 install --upgrade pip setuptools wheel ninja && \
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pip3 install torch xformers --index-url https://download.pytorch.org/whl/cu121 && \
pip3 install torchvision torchaudio sentence_transformers
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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 \
. /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 \
. /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_cuda121.so /app/venv/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so
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# Install extension requirements
RUN --mount= type = cache,target= /root/.cache/pip,rw \
. /app/venv/bin/activate && \
for ext in /app/extensions/*/requirements.txt; do \
cd " $( dirname " $ext " ) " ; \
pip3 install -r requirements.txt; \
done
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ENV CLI_ARGS = ""
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EXPOSE ${CONTAINER_PORT:-7860} ${CONTAINER_API_PORT:-5000}
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CMD . /app/venv/bin/activate && python3 server.py ${ CLI_ARGS }