Wake Forest University (WFU) HPC Team Primary Contact: Sean Anderson (anderss@wfu.edu) chatbot.py script created by Cody Stevens (stevca9@wfu.edu).

This is a quick way to get a simple LLM chatbot app in OOD. This is known to work with the Meta Llama-3.1-8B-Instruct model and using Gradio.app as a frontend interface for interacting with it.

Obtaining an LLM

Make a directory for your LLM:

mkdir -p ${HOME}/llm

For this example, we'll use a pre-processed model from HuggingFace that can be downloaded directly in the GGUF format:

wget https://huggingface.co/professorf/Meta-Llama-3-1-8B-Instruct-f16-gguf/resolve/main/llama-3-1-8b-instruct-f16.gguf -o ${HOME}/llm/llama-3-1-8b-instruct-f16.gguf

This model is around 16 GB in size.

Installing the Python environment

Now create a fresh Python environment using any version of Python 3 that you want. Activate the environment after creation:

python3 -m venv ${HOME}/env-chatbot # create environment
. ${HOME}/env-chatbot/bin/activate  # activate environment

Lastly, install the required modules into the environment:

python3 -m pip install llama_cpp_python gradio openai matplotlib