Tag: quantisation
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Portfolio ·
Post-Hoc Morphology Correction for Quantised LLMs
Quantised and distilled language models lose irregular morphology first — 'runned', 'childs', 'mouses' — because the irregulars are carried by a smaller fraction of parameters. A 450-entry irregulars table plus a short repair function catches and corrects these without retraining, without latency cost, and without touching the model. Closed-form failures should not be solved by statistical learners.