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dvgodoy/FineTuningLLMs

A practical guide with Jupyter notebooks teaching LLM fine-tuning using PyTorch, Hugging Face, quantization, LoRA, and deployment.

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This repository accompanies a published book providing a hands-on walkthrough of fine-tuning large language models. It covers loading quantized models, applying LoRA and PEFT techniques, formatting datasets, using SFTTrainer, and deploying fine-tuned models locally. The material is structured as executable Jupyter notebooks meant to be run on GPUs via Google Colab.

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