dvgodoy/FineTuningLLMs
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
This hands-on guide helps data scientists and machine learning engineers develop specialized Large Language Models (LLMs) from existing base models. It takes raw text data, applies techniques like quantization and low-rank adaptation, and outputs a custom-tuned LLM ready for specific tasks. This is for professionals who need to adapt powerful AI models to unique datasets or niche applications.
786 stars.
Use this if you are an intermediate-level data scientist or machine learning engineer looking to fine-tune LLMs on your own data, even with limited GPU resources.
Not ideal if you are new to deep learning concepts like Transformers, attention mechanisms, or embeddings, as this book assumes prior foundational knowledge.
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Jupyter Notebook
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MIT
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Last pushed
Feb 28, 2026
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