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

Velocity · 7d
+1.3
★ / day
Trend
→steady
star history
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.