Coverage-aware pruning using per-corpus utility profiles on WikiText2 and C4 improves zero-shot accuracy and reduces perplexity degradation in two MoE models at 25-75% retention compared to baselines, without downstream data.
arXiv preprint arXiv:2401.11340 , year=
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Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models
Coverage-aware pruning using per-corpus utility profiles on WikiText2 and C4 improves zero-shot accuracy and reduces perplexity degradation in two MoE models at 25-75% retention compared to baselines, without downstream data.