MOPD Enables Multi-Teacher Distillation for LLM Post-Training
June 28, 2026
Multi-teacher On-Policy Distillation (MOPD) integrates multiple specialized capabilities into a single LLM by distilling domain-specific RL teachers into a student model using its own rollouts. This method outperforms existing mix-RL and parameter-merging techniques on Qwen3-30B-A3B.
HOW THIS AFFECTS YOU
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builderYou can combine multiple specialized model behaviors into one model without the performance degradation seen in simple merging.
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researcherThis provides a robust framework for scaling capability integration during the post-training phase.