Why is AutoRound being slept on so hard?

AutoRound, a quantization technique, has shown superior perplexity and accuracy retention compared to standard Adaptive Weight Quantization (AWQ) and Round Trip Normalization (RTN) when applied to the Qwen3.6 27B model, particularly on AMD hardware. It now supports direct export to standard GGUF format, eliminating the need for conversion scripts that often encounter errors. This advancement is significant for practitioners as it offers a more efficient and effective method for model quantization, enhancing performance in complex reasoning tasks without the typical drawbacks associated with calibration time or vendor lock-in.