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Commits on Feb 23, 2026

• [rollout] fix: Include routed_experts in ToolAgentLoop return value to support R3 router replay (#5368)

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  mirrorboat

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Commits on Feb 20, 2026

• [training_utils] fix: mask out-of-bounds vocab entries fused kernel LCE logsumexp (#5349)

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  EricMarcus-ai

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• [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 18, 2026

• [misc] refactor: remove deprecated codes (#5336)

  ji-huazhong

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Commits on Feb 16, 2026

• Revert "[vllm] feat: remove workers from vLLMHttpServer" (#5333)

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  PeterSH6

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• [vllm] feat: remove workers from vLLMHttpServer (#5330)

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  tongyx361

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  gemini-code-assist[bot]

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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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• [veomni, trainer] fix: padding pixel value with padding_scale for vl model (#5322)

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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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• [ci] fix: main pre-commit (#5318)

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  pengwu22

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Commits on Feb 13, 2026

• [megatron] feat: Support LoRA training with FP16 using Megatron-Bridge. (#4648)

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  xichengpro

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• [model,cfg] fix: type annotation for Lora target_modules (#5223)

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  thvasilo

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  gemini-code-assist[bot]

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• [worker, tool] fix: stabilize agent loop extra fields schema (#5301)

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• [trtllm] feat: use max utilization scheduler by default (#5302)

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  tongyuantongyu

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• [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

• [fsdp,veomni] fix: remove FSDPUlyssesShardingManager to make eval_mode/train_mode reentrant (#5305)

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  wuxibin89

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• [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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• [megatron] fix: fallback to moe_router_padding_for_fp8 in router replay patch (#5283)

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  xhx1022

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

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  wuxibin89

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• [fsdp, megatron] refactor: Refactor Fully Async Implementation via Engine Workers (#5269)

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  ZLiao097

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

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  yyDing1

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• [fsdp, veomni, trainer] fix: restrict npu-patch scope to avoid veomni backend interference (#5268)

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  ji-huazhong

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• [vllm, rollout] fix: auto-downgrade cudagraph_mode to PIECEWISE when DCP is enabled (#5262)

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  Siritao

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• [rollout] feat: make more rollout flags configurable to trtllm backend (#5258)

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  Superjomn

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Commits on Feb 10, 2026

• [vllm] fix: run post-load weight processing once after async IPC sync (#5235)

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  zjchenn

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• [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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• [vllm, rollout] feat: update abort function with vllm internal pause_generation api (#5253)

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  PeterSH6

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• [fsdp] feat: add script for qwen3next training on npu platform (#5236)

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  zjchenn

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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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• [ray,trainer] feat: add master port range configuration for port range (#5201)

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• [algo] feat: reduce routed expert padding via NestedTensor and uint8 dtype (#5240)

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  xhx1022

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

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