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Commits on Apr 7, 2025
[merger] fix: move megatron import into megatron related branch (#958)
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[distributed] enhancement: Make `register_center` named actor waiting time configurable & providing better error info (#947)
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hongpeng-guo
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fix: support non-DTensor when converting fsdp checkpoints to hf model (#925)
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Altair-Alpha
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[megatron] feat: add gradient checkpointing in megatron backend (#944)
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feat: Batch Rewards (#871)
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Commits on Apr 6, 2025
[sglang] feat: enhence sglang_rollout to handle image input (#824)
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[vllm] feat: enable FSDP and vLLM 0.8.2 to support DPSK v3 training. (#923)
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[log] fix: validation metrics of reward and maj voting (#927)
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[sglang] ci: upgrade to sglang 0.4.4.post4 (#941)
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[rf++] style: eos_mask to response_mask for reinforce++-baseline method (#938)
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[ci] chore: reduce CI load part-2 (#942)
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[ci] chore: reduce CI load (#934)
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526c090
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prompt: Fix computer_score in fsdp_workers.py (#629)
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docs: add triton compile err to faq (#809)
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fix: seq-mean-token-sum loss (#931)
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[sglang] feat: SGLang rollout multinode support (#915)
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[vllm] fix: skip vllm initialization with weight loading (#922)
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Commits on Apr 5, 2025
docker: add verl-sglang dockerfile (#930)
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[math-verify] fix: TimeoutException (#929)
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8447937
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Feat: support REINFORCE++-baseline and add script for REINFORCE++ (#908)
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Commits on Apr 4, 2025
feat: Add multi-turn SFT support (#195)
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tool: add diagnosis script (#918)
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docs: update installation and adoption docs (#921)
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[dataset] refactor: remove unused filter_prompts parameter from RLHFDataset (#889)
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fix: set gen_batch_size based on config (#909)
tongyx361
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[dataset] refactor: use hf Dataset instead of pandas DataFrame in RLHFDataset for speedup (#890)
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[log] fix: log after generate_sequences (#819)
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[algo] misc: remove redundant tile([1, response_length]), efficient broadcast instead (#868)
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Commits on Apr 3, 2025
[recipe] feat: integrate DAPO and provide reproduction script (#623)
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[dev] feat: default VSCode repo settings to help consistency with CI (#894)
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test: update vllm_spmd test for > 0.7.3 (#861)
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reuse GPTModel, try to fix CI issue (#884)
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fix: the error is not raised when using both megatron and hf inference (#885)
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docs: add config docs for evaluation.yaml (#886)
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fix: misleading eos_mask->response_mask (#878)
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