Unverified50% confidenceFactExact time
In MoE architectures, the attention layers are typically shared (dense) across all tokens, and only the FFN layers are sparse; therefore, the KV Cache overhead is essentially the same as that of a dense model with the same hidden dimension.
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50%
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Long-term
Relevance
9/5/2026
First Seen
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