mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-25 01:09:22 +01:00
76 lines
2.8 KiB
Docker
76 lines
2.8 KiB
Docker
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as builder
|
|
|
|
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw apt-get update && \
|
|
apt-get install --no-install-recommends -y git vim build-essential python3-dev python3-venv && \
|
|
rm -rf /var/lib/apt/lists/*
|
|
|
|
RUN git clone --depth=1 https://github.com/oobabooga/GPTQ-for-LLaMa /build
|
|
|
|
WORKDIR /build
|
|
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw \
|
|
python3 -m venv /build/venv && \
|
|
. /build/venv/bin/activate && \
|
|
pip3 install --upgrade pip setuptools wheel && \
|
|
pip3 install torch torchvision torchaudio && \
|
|
pip3 install -r requirements.txt
|
|
|
|
# https://developer.nvidia.com/cuda-gpus
|
|
# for a rtx 2060: ARG TORCH_CUDA_ARCH_LIST="7.5"
|
|
ARG TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX}"
|
|
RUN . /build/venv/bin/activate && \
|
|
python3 setup_cuda.py bdist_wheel -d .
|
|
|
|
FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
|
|
|
|
LABEL maintainer="Your Name <your.email@example.com>"
|
|
LABEL description="Docker image for GPTQ-for-LLaMa and Text Generation WebUI"
|
|
|
|
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw apt-get update && \
|
|
apt-get install --no-install-recommends -y python3-dev libportaudio2 libasound-dev git python3 python3-pip make g++ ffmpeg && \
|
|
rm -rf /var/lib/apt/lists/*
|
|
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw pip3 install virtualenv
|
|
RUN mkdir /app
|
|
|
|
WORKDIR /app
|
|
|
|
ARG WEBUI_VERSION
|
|
RUN test -n "${WEBUI_VERSION}" && git reset --hard ${WEBUI_VERSION} || echo "Using provided webui source"
|
|
|
|
# Create virtualenv
|
|
RUN virtualenv /app/venv
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw \
|
|
. /app/venv/bin/activate && \
|
|
pip3 install --upgrade pip setuptools wheel && \
|
|
pip3 install torch torchvision torchaudio sentence_transformers xformers
|
|
|
|
# Copy and install GPTQ-for-LLaMa
|
|
COPY --from=builder /build /app/repositories/GPTQ-for-LLaMa
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw \
|
|
. /app/venv/bin/activate && \
|
|
pip3 install /app/repositories/GPTQ-for-LLaMa/*.whl
|
|
|
|
# Install main requirements
|
|
COPY requirements.txt /app/requirements.txt
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw \
|
|
. /app/venv/bin/activate && \
|
|
pip3 install -r requirements.txt
|
|
|
|
COPY . /app/
|
|
|
|
RUN cp /app/venv/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda118.so /app/venv/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so
|
|
|
|
# Install extension requirements
|
|
RUN --mount=type=cache,target=/root/.cache/pip,rw \
|
|
. /app/venv/bin/activate && \
|
|
for ext in /app/extensions/*/requirements.txt; do \
|
|
cd "$(dirname "$ext")"; \
|
|
pip3 install -r requirements.txt; \
|
|
done
|
|
|
|
ENV CLI_ARGS=""
|
|
|
|
EXPOSE ${CONTAINER_PORT:-7860} ${CONTAINER_API_PORT:-5000} ${CONTAINER_API_STREAM_PORT:-5005}
|
|
CMD . /app/venv/bin/activate && python3 server.py ${CLI_ARGS}
|