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Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data

Kim, Geunhyoung et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Mixture-of-Experts (MoE) models are bottlenecked by loading routed-expert weights from memory during interactive decoding at small batch sizes. Because most intermediate channels in a routed expert contribute little to any single token, channel selectors predict which channels matter and read only t
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