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FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && \
apt-get upgrade -y && \
apt-get install -y --no-install-recommends \
git \
git-lfs \
wget \
curl \
# python build dependencies \
build-essential \
libssl-dev \
zlib1g-dev \
libbz2-dev \
libreadline-dev \
libsqlite3-dev \
libncursesw5-dev \
xz-utils \
tk-dev \
libxml2-dev \
libxmlsec1-dev \
libffi-dev \
liblzma-dev \
ffmpeg \
nvidia-driver-515
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:${PATH}
WORKDIR ${HOME}/app
RUN curl https://pyenv.run | bash
ENV PATH=${HOME}/.pyenv/shims:${HOME}/.pyenv/bin:${PATH}
ARG PYTHON_VERSION=3.10.13
RUN pyenv install ${PYTHON_VERSION} && \
pyenv global ${PYTHON_VERSION} && \
pyenv rehash && \
pip install --no-cache-dir -U pip setuptools wheel && \
pip install "huggingface-hub" "hf-transfer" "gradio[oauth]>=4.28.0" "gradio_huggingfacehub_search==0.0.7" "APScheduler"
COPY --chown=1000 . ${HOME}/app
RUN git clone https://github.com/ggerganov/llama.cpp
RUN pip install -r llama.cpp/requirements.txt
COPY imatrix_calibration.txt ${HOME}/app/llama.cpp/
ENV PYTHONPATH=${HOME}/app \
PYTHONUNBUFFERED=1 \
HF_HUB_ENABLE_HF_TRANSFER=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface \
TQDM_POSITION=-1 \
TQDM_MININTERVAL=1 \
SYSTEM=spaces \
LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH} \
PATH=/usr/local/nvidia/bin:${PATH}
ENTRYPOINT /bin/sh start.sh
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