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Openai/692aba85-5b10-8006-817a-d5a83b020f8e
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====== 2.1.7 Distributed Muon ====== GLM 系はプレトレで Muon optimizer を使っているため、ポストトレーニングでも Muon を継続使用するのがよいとされる一方、Muon は 行列単位の更新 を行うので、FSDP でシャーディングされた勾配にはそのまま適用できません。INTELLECT_3_Technical_Report 試した方法: * ラウンドロビン gather/scatter - 各 rank が一部の行列を集めて Newton-Schulz を計算し、更新済み勾配を scatter - しかしノード数が増えると gather が多すぎて InfiniBand が詰まる * All-to-all ベースの手法(最終採用) - all-to-all collective で勾配を再配置し、Mu on を分散適用 - 実装には Dion の OSS 実装を利用
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