It’s often assumed that developing large language models requires considerable equipment , but that’s isn’t always the case. This guide presents a feasible method for training LLMs with just 3GB of VRAM. We’ll explore strategies like parameter-efficient fine-tuning , quantization , and clever batching strategies to allow this achievement .