This project explores the use of a local chatbot trained on a limited set of personal documents to test the capabilities of lightweight language models. Among the models evaluated, Llama 4 Scout Instruct 17B proved to be the most efficient, offering both speed and coherence despite the restricted input data. A key factor in its performance is…