Unverified70% confidenceFactTime unknown
K2.5的MoE架构单次推理实际激活的参数量可能只有总参数的1/8甚至更少
1
Sources
70%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
Verified混合专家架构MoE通过稀疏激活机制，推理时只激活模型总参数的1/8至1/479% similarUnverifiedThe MoE architecture has fewer than one-tenth of its parameters actually participating in computation at any given moment, allowing the model to maintain the knowledge capacity of a large model while retaining the inference speed and computational cost of a small model.77% similarUnverified在MoE模型中每个token只激活少量Expert（通常2-4个，Top-K路由），实际计算量可能仅相当于6-7B的Dense模型76% similarUnverifiedThe MoE architecture activates only the Top-K experts per inference, so the total parameter count far exceeds the number of parameters actually activated in a single inference.75% similarUnverifiedThe MoE architecture activates only a small subset of expert sub-networks during inference; a 2.4T-parameter model may activate only approximately 20–40 billion parameters per inference.75% similar
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