Practical course about Large Language Models.
This repository provides a Jupyter notebook demonstrating parameter-efficient fine-tuning (PEFT) with LoRA on Hugging Face models.
This repository contains a notebook for fine-tuning the meta-llama/Llama-3.2-3B-Instruct (or any other generative language models) model using Quantized LoRA (QLoRA) for sentiment classification on the Arabic HARD dataset.
This repository contains experiments on fine-tuning LLMs (Llama, Llama3.1, Gemma). It includes notebooks for model tuning, data preprocessing, and hyperparameter optimization to enhance model performance.
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