🔧 Run Big LLMs on Small GPUs: A Hands-On Guide to 4-bit Quantization and QLoRA

Save the planet and adapt the LLM to your use-case!






Introduction


The process of reducing a Large Language Model (LLM) to FP4 (4-bit Floating Point) precision is a quantization technique primarily used to drastically decrease the memory required and accelerate inference (text generation), allowing larger models to be run on less...