AnalysisAI ModelsOctober 31, 2026

Muon-RT reuses teacher trajectory to drop momentum buffers in LLM self-distillation

Read original source →arxiv.org

Muon-RT replaces separate momentum buffers by reusing the teacher-student displacement for hidden weight matrices, cutting memory while improving fine-tuning and policy-optimization accuracy. The method targets self-distillation fine-tuning (SDFT) and self-distillation policy optimization (SDPO), using Newton-Schulz orthogonalization.

1 source

More stories today

Open the live feed