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Qwen-ssm-repair fixes Qwen 3.5 weight drift

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Qwen-ssm-repair fixes Qwen 3.5 weight drift
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// 45d agoOPENSOURCE RELEASE

Qwen-ssm-repair fixes Qwen 3.5 weight drift

The qwen-ssm-repair utility corrects numerical weight drift in Qwen 3.5 Gated Delta Network layers that causes context collapse at 75k+ tokens. Using statistical outlier detection and surgical alpha-scaling, it restores model stability without requiring expensive retraining or full-model fine-tuning.

// ANALYSIS

The Qwen 3.5 weight drift illustrates how architectural complexity in hybrid SSM-Transformer models can lead to subtle failure modes that bypass standard benchmarks like NIAH. Surgical patching using statistical anomaly detection and mmap in-place patching provides a fast, cost-effective alternative to expensive fine-tuning, especially for local LLM users facing quantization-induced variance in sensitive SSM layers.

// TAGS
llmopen-sourceqwenssmdevtoolquantizationmlopslocal-llmqwen-ssm-repair

DISCOVERED

45d ago

2026-04-12

PUBLISHED

45d ago

2026-04-12

RELEVANCE

8/ 10

AUTHOR

Decivox