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Commits on Feb 24, 2026

• [doc] chore: ascend add performance analysis guide and update some version info (#5324)

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  chengminhua

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• [ci] chore: pin version cupy-cuda12x==13.6.0 (#5377)

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  wuxibin89

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Commits on Feb 23, 2026

• [misc] fix: pass torch dtype when init random model (#5370)

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  HollowMan6

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• [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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• Revert "[ci] chore: set torch-npu to 2.7.1.post2 in ascend dockerfile" (#5353)

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  ji-huazhong

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Commits on Feb 18, 2026

• [ci] chore: set torch-npu to 2.7.1.post2 in ascend dockerfile (#5345)

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  ji-huazhong

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• [misc] fix: include config files for experimental entrypoints in package data (#5343)

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  guillemgt

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

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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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• [docs] Add new awesome work using Verl (#5328)

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  MING-ZCH

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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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• [fsdp, vllm] feat: add NPU GRPO training scripts for Qwen3-VL-30B (FSDP/VLLM backends) (#5260)

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  alwaysyiyu

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• [fsdp, vllm] feat: add NPU GRPO training scripts for Qwen3-VL-8B (FSDP/VLLM backends) (#5250)

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  zhihaofang1017

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• [algo] feat: add NPU SAPO training script for Qwen3-8B (FSDP/vLLM backends) (#5257)

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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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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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• [doc] chore: gspo update config and add version with npu (#5279)

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  chengminhua

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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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• [megatron, model] chore: add example of nemotron nano v3 (#5284)

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  ISEEKYAN

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

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  ZLiao097

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