Unverified50% confidenceFactExact time
In dense models, all parameters participate in computation for every token, and the amount of computation is strictly tied to the parameter scale.
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50%
Confidence
Long-term
Relevance
9/15/2026
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VerifiedDense架构中模型所有参数在每次推理时都参与计算，计算成本随参数规模线性增长，以Llama系列为代表79% similarUnverifiedA dense model refers to the traditional architecture in which all parameters participate in computation during each inference, as opposed to sparse architectures such as MoE.75% similarUnverified稠密架构意味着模型在推理时会激活全部270亿参数进行计算75% similarUnverifiedModels with extremely large parameter scales typically adopt the MoE (Mixture of Experts) architecture, which activates only a portion of parameters per inference rather than computing the full set.74% similarUnverifiedToken generation volume is generally regarded as one of the core metrics for measuring the actual usage load of large models.73% similar
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