🚀 [2025/12/8] Recent Updates Summary for ROLL Project

大家好！感谢大家对ROLL的关注。
ROLL近期更新了大量新功能，以下是近期更新的一些梳理，我们将持续对ROLL进行迭代更新，欢迎加入ROLL的社区。

🚀亮点:

+ (feat): support Qwen3VL, mcore_adapter and examples.
+ (feat): Add optimization for computing ref_logprobs and old_logprobs.
+ (feat): support vllm beam_search.
+ (feat): Add support for Qwen-3-next on AMD GPUs.
+ (feat): support sglang==0.5.4、vllm==0.11.1、torch2.8.0.

🚀主要新特性：

+ Agentic
- (fix): fix agentic val get_batch state in redundancy env.
- (feat): agentic-spec actor worker.
- (feat): add infer_log_probs in agentic.
- (feat): refactor agentic norm like LitePPO.
- (feat): add agentic profile metrics.
+ 模型与后端
- (feat): support vllm beam_search.
- (feat): Add support for Qwen-3-next on AMD GPUs.
- (feat): support offload nccl to save gpu memory. Thanks for slime.
- (feat): support sglang 054.
- (feat): sglang support dp-attention.
- (feat): add enable_reference option. #250
- (feat): add enable_old_logprobs, opt old log probs by cache.
- (feat): support Qwen3VL, mcore_adapter and examples yaml. #190
- (feat): add sequence packing for sft pipeline and distill pipeline, optimize memory usage during top-k logits computation.
+ bug fix, refactor
- (fix): update math rule reward worker with thinking. #281
- (feat): set RAY_CGRAPH_get_timeout=600.
- (fix): fix train infer ratio/diff mean & add train infer ratio/diff token/seq mask & add rollout importance sampling. #242 #273
- (fix): ensure compatibility with transformers version check for causal mask update.
- (fix): fix vllm 0110 import for torch280.
- (fix): fix tokenizer mismatch between policy and reward model in llm judge reward worker. #91
- (fix): fix bugs in data fetching for face embeddings for wan_module.
- (fix): vllm _generate_standard missing prompt_token_ids input args in vllm >0.11.0. #189
- (fix): vllm add missing argument is_lora in function update_parameter. #233
- (fix): fix bugs with metrics recording in the DPO pipeline.
- (fix): update image loading logic for byte data in rlvr_vlm_pipeline.py
- (fix): add alive check. #253

No files, tests, or entry points are named. This issue lists completed updates rather than a concrete change, so there is no defined implementation or completion check for a newcomer.

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