This project fine-tunes the open-source LLaMA 3.1–8B model using QLoRA to predict product prices from descriptions. It includes data preprocessing, model training, evaluation against baseline and frontier models, deployment via Modal, and a Gradio-based UI for real-time inference.
What is the vasiliskou/fine-tune-llama3-price-predictor GitHub project? Description: "This project fine-tunes the open-source LLaMA 3.1–8B model using QLoRA to predict product prices from descriptions. It includes data preprocessing, model training, evaluation against baseline and frontier models, deployment via Modal, and a Gradio-based UI for real-time inference.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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