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Commits on Feb 20, 2026

• [trainer] feat: Add Torchtitan as alternative training engine (#5051)

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  acisseJZhong

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Commits on Feb 19, 2026

• [reward] fix: empty class_dict for standalone reward model resource pool (#5348)

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  yyDing1

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Commits on Feb 14, 2026

• [fsdp,algo] feat: add NVFP4 QAT (Quantization-Aware Training) support (#5190)

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  zhangyimi

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• [rollout] fix: make skip rollout compatible with async mode (#5320)

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  ChengQianqian

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• [misc] refactor: delete remaining batch-mode code in single controller (#5319)

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  ji-huazhong

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Commits on Feb 13, 2026

• [veomni] refactor: Modify dp related parameters to align with FSDP backend and remove temporarily unsupported TP/PP/CP parameters (#5303)

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  ChengQianqian

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  ji-huazhong

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Commits on Feb 12, 2026

• [reward] fix: reward model args and reward_kwargs bug (#5289)

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  yyDing1

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Commits on Feb 11, 2026

• [reward] fix: backward compatibility with old reward config (#5287)

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  yyDing1

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• [misc] chore: fix veomni_trainer.yaml (#5285)

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  wuxibin89

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• [BREAKING][reward] refactor: the full reward configuration (#5255)

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  yyDing1

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Commits on Feb 10, 2026

• [veomni, trainer] feat: add rl support for veomni backend (#4882)

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  ji-huazhong

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  A1waysBeenHere

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Commits on Feb 9, 2026

• [BREAKING][reward] refactor: deprecate batch reward manager (#5237)

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  yyDing1

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• [megatron] feat: use yaml to manage mbridge args (#4584)

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Commits on Feb 6, 2026

• [fsdp] fix: Support trust_remote_code during FSDP HugginFace checkpoint save (#5200)

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• [BREAKING][reward] refactor: remove reward model worker code and invocation (#5194)

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  yyDing1

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• [algo] feat: support rollout router replay in MegatronEngine (#5185)

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  xhx1022

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Commits on Feb 4, 2026

• [perf] fix: infer server profiler args fix (#5121)

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  mengchengTang

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• [reward] refactor: migrate all reward managers to the new asynchronous reward manager (#5189)

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  yyDing1

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Commits on Feb 3, 2026

• [megatron] fix: checkpoints uses `fully_reshardable` by default when supported (#5154)

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  HollowMan6

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Commits on Feb 2, 2026

• [trainer] feat: move save_ckpt before update_weights and validate (#5137)

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  RobotGF

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• [reward] feat: split reward loop manager and agent loop manager (#5134)

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  yyDing1

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Commits on Jan 31, 2026

• [rollout,vllm] feat: revert default value of max_num_seqs (#5139)

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  RobotGF

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Commits on Jan 30, 2026

• Revert "[rollout] feat: automatically resume generation on abort" (#5127)

  PeterSH6

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• [sglang] fix: update wiki to support speculative decode rollout (#5116)

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  ArronHZG

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Commits on Jan 29, 2026

• [megatron] feat: Support MTP training in SFT (#4981)

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• [rollout] feat: automatically resume generation on abort (#5071)

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  wuxibin89

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Commits on Jan 28, 2026

• Revert "[reward] fix: fix reward computation in _validate when use_reward_loop=True and reward_model.enable=True" (#5091)

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  wuxibin89

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• [reward] fix: fix reward computation in _validate when use_reward_loop=True and reward_model.enable=True (#5054)

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  none0663

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• [ckpt,rollout] fix: sleep_replicas before save_ckpt to avoid OOM (#5079)

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  RobotGF

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Commits on Jan 27, 2026

• [doc, trainer] fix: shoudn't use rollout routing replay data for R2 (#4973)

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  HollowMan6

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• [rollout, perf, cfg] fix: Add global step info and support more profile control params for rollout profiling (sglang backend) (#5025)

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  bithighrr

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• [ckpt] feat: add CheckpointEngineManager (#5031)

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  wuxibin89

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• [rollout] feat: set max_model_len by max_model_len or use max_position_embedding (#5052)

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  RobotGF

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  gemini-code-assist[bot]

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Commits on Jan 24, 2026

• [veomni] refactor: no long check the attn_implementation/moe_implementation in VeOmniEngineConfig (#5019)

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  A1waysBeenHere

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  ji-huazhong

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• [megatron] feat: LoRA adapter only refit (TensorLoRARequest) (#4632)

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  HollowMan6

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