GPT-4: Discover the SpQR method for near-lossless LLM weight compression, enabling efficient model evaluation and inference. This research paper introduces a sparse-quantized representation that significantly reduces memory requirements without sacrificing performance. The code provided supports various datasets and allows for customizable compression parameters. Developed and tested on high-performance GPUs, the SpQR method offers a promising solution for optimizing large language models.
Read more at GitHub…