Unverified50% confidenceOpinionExact time
The core mechanism of LES (predicting the next layer's expert needs and preloading) is not tied to a specific model architecture; as long as an MoE model's routing pattern is somewhat predictable, similar scheduling strategies can be transferred to other MoE models.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
iPhone Runs 35B MoE at 20.5 tok/s: The Scheduling Magic That Skips No Experts
redditr/LocalLLaMA10/21/2026
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Related Claims
UnverifiedWeight placement of MoE models only determines speed and does not alter precision or routing semantics.72% similarVerifiedFine-tuning MoE models typically requires loading all parameters and their corresponding optimizer states, placing far greater demands on hardware resources than dense models with equivalent activated parameter counts.71% similarUnverifiedMoE uses a routing mechanism to let each input token dynamically select experts for processing, achieving an efficiency balance between a large total number of parameters and a small number of activated parameters.71% similarVerifiedMoE (Mixture of Experts) uses dynamic routing to have different parameter sub-networks handle different types of inputs, greatly increasing model capacity without linearly increasing inference costs.71% similarUnverifiedMoE通过Top-K路由策略每次前向传播仅激活K个专家（通常为2-4个），实现稀疏激活以扩大模型容量而不线性增加计算量70% similar
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