Quantization tends to degrade LLM fairness and safety—more in non-English tasks—and preserving top sensitivity-ranked weights in FP16 mostly mitigates the loss.
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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection
Quantization tends to degrade LLM fairness and safety—more in non-English tasks—and preserving top sensitivity-ranked weights in FP16 mostly mitigates the loss.