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Kimi Team: K2 MuonClip training and agentic post-training

Contribution grade

Agentic and multimodal foundation-model training · Human-designed research method or resource

Reference score85,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined QK-clipped Muon optimization with large-scale expert-model training and synthetic/interactive agentic post-training.

Scientific scope

Combined QK-clipped Muon optimization with large-scale expert-model training and synthetic/interactive agentic post-training. Muon, MLA and sparse expert components are inherited. MuonClip and the integrated K2 training recipe are scoped here; benchmark claims are not independent validation or every K2 variant.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Muon, MLA and sparse expert components are inherited. MuonClip and the integrated K2 training recipe are scoped here; benchmark claims are not independent validation or every K2 variant.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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