Statistically-lossless quantization of large language models

Proposes a statistically-lossless quantization method for LLMs that claims to preserve model fidelity while enabling inference acceleration. Unlike lossy approaches (GPTQ, AWQ) it retains accuracy, and unlike prior lossless methods it speeds up inference.