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# Builder stage
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# FROM ubuntu:latest
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# # Update packages and install curl and gnupg
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# RUN apt-get update && apt-get install -y \
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# curl \
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# gnupg
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# # Add NVIDIA package repositories
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# RUN curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
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# && echo "deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://nvidia.github.io/libnvidia-container/stable/deb/ $(. /etc/os-release; echo $UBUNTU_CODENAME) main" > /etc/apt/sources.list.d/nvidia-container-toolkit.list
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# # Install NVIDIA container toolkit (Check for any updated methods or URLs for Ubuntu jammy)
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# RUN apt-get update && apt-get install -y nvidia-container-toolkit || true
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# # Install application
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# RUN curl https://ollama.ai/install.sh | sh
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# # Below is to fix embedding bug as per
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# # RUN curl -fsSL https://ollama.com/install.sh | sed 's#https://ollama.com/download#https://github.com/jmorganca/ollama/releases/download/v0.1.29#' | sh
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# # Create the directory and give appropriate permissions
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# RUN mkdir -p /.ollama && chmod 777 /.ollama
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# WORKDIR /.ollama
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# # Copy the entry point script
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# COPY entrypoint.sh /entrypoint.sh
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# RUN chmod +x /entrypoint.sh
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# # Set the entry point script as the default command
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# ENTRYPOINT ["/entrypoint.sh"]
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# CMD ["ollama", "serve"]
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# # Set the model as an environment variable (this can be overridden)
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# ENV model=${model}
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# Expose the server port
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# Use the official Ollama Docker image as the base image
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FROM ollama/ollama:latest
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RUN apt update && apt install -y python3 && apt install -y python3-pip
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RUN pip install litellm
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RUN pip install 'litellm[proxy]'
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# Create a directory for Ollama data
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RUN mkdir -p /.ollama
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RUN chmod -R 777 /.ollama
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# Use the official Ollama Docker image as the base image
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FROM ollama/ollama:latest
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RUN apt update && apt install -y python3 && apt install -y python3-pip
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# Create a directory for Ollama data
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RUN mkdir -p /.ollama
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RUN chmod -R 777 /.ollama
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