fine-tune-llama3-price-predictor

fine-tune-llama3-price-predictor

vasiliskou

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.

1 Stars
0 Forks
1 Watchers
Jupyter Notebook Language
mit License
45.1 SrcLog Score
Cost to Build
$500
Market Value
$500

Growth over time

3 data points  ·  2026-04-08 → 2026-04-23
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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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