Exploring the complexities of local Large Language Models (LLMs) with a focus on storage solutions, Retrieval-Augmented Generation (RAG), and the challenges of fine-tuning, as presented by Frugal Scientific. Running an open-source Large Language Model (LLM) like Qwen 3B or BitNet b1.58 on your local machine feels a bit like magic. You download a few gigabytes of files, fire up your terminal, and suddenly you have an AI assistant ready to answer your questions. But as you star