Dockerfile

# Builder stage
FROM ubuntu:latest

# Update packages and install curl and gnupg
RUN apt-get update && apt-get install -y \
    curl \
    gnupg

# Add NVIDIA package repositories
RUN curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
    && echo "deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://nvidia.github.io/libnvidia-container/stable/deb/ $(. /etc/os-release; echo $UBUNTU_CODENAME) main" > /etc/apt/sources.list.d/nvidia-container-toolkit.list

# Download Python installation package
RUN curl -O https://www.python.org/ftp/python/3.9.10/Python-3.9.10.tgz

# Extract Python package
RUN tar -xf Python-3.9.10.tgz

# Change into the Python directory
WORKDIR Python-3.9.10

# Configure and install Python
RUN ./configure && make && make install

# Clean up
WORKDIR ..
RUN rm -rf Python-3.9.10 Python-3.9.10.tgz


# Install NVIDIA container toolkit (Check for any updated methods or URLs for Ubuntu jammy)
RUN apt-get update && apt-get install -y nvidia-container-toolkit || true

# Install application
RUN curl https://ollama.ai/install.sh | sh
# Below is to fix embedding bug as per
# RUN curl -fsSL https://ollama.com/install.sh | sed 's#https://ollama.com/download#https://github.com/jmorganca/ollama/releases/download/v0.1.29#' | sh


# Create the directory and give appropriate permissions
RUN mkdir -p /.ollama && chmod 777 /.ollama

WORKDIR /.ollama

# Copy the entry point script
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh

# Set the entry point script as the default command
ENTRYPOINT ["/entrypoint.sh"]
CMD ["ollama", "serve"]

# Set the model as an environment variable (this can be overridden)
ENV model=${model}

# Expose the server port
EXPOSE 7860