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Commits on Feb 1, 2026

• Revert "[worker,rollout] refactor: remove set_expandable_segments calls in vllm separation mode" (#5156)

  vermouth1992

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• [megatron] fix: patched_routing accepts arbitrary args (#5155)

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  HollowMan6

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Commits on Jan 31, 2026

• [worker,rollout] refactor: remove set_expandable_segments calls in vllm separation mode (#5144)

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  RobotGF

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• [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

• [vllm] feat: get gpt-oss encoding on demand (#5131)

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  vermouth1992

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• [sglang] fix: skip MoE router layers for FP8 quantization (#5122)

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  eternally-z

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

  PeterSH6

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• [vllm] feat: add shared memory support for weight transfer and IPC support checks (#5089)

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  jianjunzhong

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• [ci] feat: add npu workflow，e2e_sft_llm&model&reward_model_vllm (#5039)

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  yyyy2000

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• [training_utils] fix: add upcasting for `seq_len_effective` to avoid potential overflow in `calculate_workload` (#5110)

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  albertcity

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  albertyi

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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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• [fsdp] fix: Handle different transformers versions for Vision2Seq models in FSDP model merger (#5108)

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  liangxuZhang

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• [vllm] feat: revert to the default behavior of cudagraph_mode (#5109)

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  vermouth1992

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• [dataset] feat: Add support for Llama3.2-11-b-vision (#5112)

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  SchumiDing

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• [megatron] fix: megatron async save ckpt fix (#5016)

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  Leem-Li

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  李鸣沼

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

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  wuxibin89

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• [trtllm] fix: minor fixes to trtllm rollout (#5095)

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  hchings

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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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• [rollout] fix: fix cpu allocation error in tensorrt_llm rollout manager (#5085)

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  SchumiDing

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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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• [trainer] fix: resolve dataset config in agent loop (#5034)

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  yyDing1

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• [megatron, training_utils] fix: router replay R3 align router replay data with global layer indices (#5037)

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  HollowMan6

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• [ci] chore: fix npu ci failure (#5064)

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  wucong25

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Commits on Jan 27, 2026

• [ci] chore: fix ci failure (#5068)

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  wuxibin89

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

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  HollowMan6

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• [fsdp, megatron] feat: Support fully-async training on Ascend NPU (#5043)

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  acat-rw

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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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• [megatron, training_utils] fix: Patch MoEAlltoAllTokenDispatcher.preprocess for router replay (#4986)

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  HollowMan6

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• [model] feat: add API to support automatically support engine backend (#5050)

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  vermouth1992

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  gemini-code-assist[bot]

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• [vllm, sglang] feat: opt for FP8 rollout memory (#4997)

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  Agoniii

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  xueh-nv

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  ede61aaView commit details

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• [ci] chore: move to verl-project (#5059)

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  wuxibin89

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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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