Dockerfile_1

FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu20.04

ENV DEBIAN_FRONTEND=noninteractive \
    TZ=Asia/Kolkata \
    PYTHONUNBUFFERED=1 

# Install some basic utilities
RUN rm -f /etc/apt/sources.list.d/*.list && \
    apt-get update && apt-get install -y --no-install-recommends \
    curl \
    ca-certificates \
    sudo \
    git \
    wget \
    procps \
    git-lfs \
    zip \
    unzip \
    htop \
    vim \
    nano \
    bzip2 \
    libx11-6 \
    build-essential \
    libsndfile-dev \
    software-properties-common \
 && rm -rf /var/lib/apt/lists/*
    
RUN add-apt-repository ppa:flexiondotorg/nvtop && \
    apt-get upgrade -y && \
    apt-get install -y --no-install-recommends nvtop

# Create a working directory
WORKDIR /app

# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
 && chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user

# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN mkdir $HOME/.cache $HOME/.config \
 && chmod -R 777 $HOME

# Set up the Conda environment
ENV CONDA_AUTO_UPDATE_CONDA=false \
    PATH=$HOME/miniconda/bin:$PATH
RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py39_4.10.3-Linux-x86_64.sh \
 && chmod +x ~/miniconda.sh \
 && ~/miniconda.sh -b -p ~/miniconda \
 && rm ~/miniconda.sh \
 && conda clean -ya

WORKDIR $HOME/app

#######################################
# Start root user section
#######################################

USER root

# User Debian packages
## Security warning : Potential user code executed as root (build time)
RUN --mount=target=/root/packages.txt,source=packages.txt \
    apt-get update && \
    xargs -r -a /root/packages.txt apt-get install -y --no-install-recommends \
    && rm -rf /var/lib/apt/lists/*

RUN --mount=target=/root/on_startup.sh,source=on_startup.sh,readwrite \
	bash /root/on_startup.sh

RUN mkdir /data && chown user:user /data

#######################################
# End root user section
#######################################

USER user

ENV VLLM_LOGGING_LEVEL=DEBUG

ENV LD_LIBRARY_PATH=/usr/local/cuda-12.5/compat:${LD_LIBRARY_PATH}

# # Python packages
# RUN --mount=target=requirements.txt,source=requirements.txt \
#     pip install --no-cache-dir --upgrade -r requirements.txt

# Upgrade pip
RUN python3 -m pip install --upgrade pip

# Install CUDA-compatible torch first, then vLLM
RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cu121 \
    torch torchvision torchaudio && \
    pip install --no-cache-dir vllm 
    
# pip install vllm --torch-backend=auto

# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app

RUN chmod +x start_server.sh


# Default env vars
ENV MODEL_NAME="unsloth/llama-2-7b-bnb-4bit" \
    VLLM_PORT=7860 \
    HOST=0.0.0.0 \
    TP_SIZE=1 \
    GPU_MEMORY_UTILIZATION=0.90

ENV PYTHONUNBUFFERED=1 \
	GRADIO_ALLOW_FLAGGING=never \
	GRADIO_NUM_PORTS=1 \
	GRADIO_SERVER_NAME=0.0.0.0 \
	GRADIO_THEME=huggingface \
	SYSTEM=spaces \
	SHELL=/bin/bash
    
RUN nvcc --version
RUN ls /usr/local | grep cuda
RUN find /usr/ -name 'libcuda.so.*'


CMD ["./start_server.sh"]