specific method · filed under optimization
Muon restricted to two-dimensional linear-map weights
Applying Muon only to two-dimensional weights that act as linear maps.
- source
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- model
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How sources treat it
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core 1
Documented in
Evidence
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We apply Muon to the two-dimensional weights that genuinely act as linear maps
coreoptimizationin Qwen3.8-NextQwen
Filed alongside
Other methods under optimization :: optimizer.
MuonPer-Head MuonAdamWCategory-specific assignment of Muon and AdamWSplit fused gradients before orthogonalizationNesterov momentumSinkhorn-balanced updateAdam without weight decay for the N-gram embedding tableAdamW for attention and GDN output gatesAdamW for gated-residual low-rank projectionsAdamW for input embeddings and output headAdamW for the MoE routerAsynchronous Micro-Group pipelineCanzonaCUDA graph capture of the optimizer stepEight-step Newton–Schulz iterationHybrid Muon and AdamW parameter-group optimizer assignmentHybrid Newton–Schulz iterationsHybrid optimization with Muon and AdamMoonlight-style learning-rate scalingMuon orthogonalization accuracy refinementMuon SplitMuownPeer-to-peer shard retrieval for Muon orthogonalization