Quantization hurts knowledge nonlinearly - Qwen3.6 27B case study

The post discusses the impact of quantization on knowledge retention in machine learning models, particularly focusing on Qwen3.6 27B and its performance on the Incompressible Knowledge Probes benchmark, highlighting the non-linear effects of lossy compression on factual knowledge.