Developer discovers and fixes tensor drift bug in Qwen3.6-35B using Wasserstein metric for improved GGUF quantization stability

Researcher identified numerical instability in ssm_conv1d tensor layers (blocks 36-38) responsible for long-context memory in quantized Qwen models

Wasserstein metric (W1) proved significantly more effective than Kullback-Leibler divergence for detecting tensor drift, reducing instability scores from 0.0026-0.0040 to 0.0006-0.0009

Same drift bug was found in Unsloth quantizations, suggesting the Qwen team may be unaware of this specific SSM layer issue

Fixed model released on Hugging Face as Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF, based on HauhauCS's aggressive quantization variant