Mixture of experts
Named by 17 kept items in this workspace.
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Architecture of Mistral Large 4 (128 routed experts, 4 active plus 1 shared) and Nemotron 3.5.
Sparse models expand parameter capacity by activating a small subset of experts per token.
A predictor variant tested for decode length; it converges to similar performance near the bound.
Nemotron 3.5 Transcribe is a 30B MoE model with about 4B active parameters.
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Changes which tensors are active per token; a router picks a few experts per token, so serving, memory movement and batching differ from dense models.
MoE
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