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DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

Hugging Face Daily Papers · 2026-05-11 Cached

DECO is a sparse MoE architecture that matches dense Transformer performance with only 20% activated experts and a 3x acceleration kernel, utilizing ReLU-based routing, learnable scaling, and the NormSiLU activation function.

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