Dockerfile

# Builder stage
FROM ubuntu:latest

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

# 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
RUN curl -fsSL https://ollama.com/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

CMD ollama serve
#

# 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 11434