🚀 [2026/02/04] 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:

+ 新增模型支持：Qwen3-VL、Qwen3-MoE-VL、Qwen3-Omni、GLM-4.7
+ agentic 训练与 Rollout GPU部分重叠，训练空闲GPU切换为Rollout
+ DynamicSamplingScheduler协程化重构
+ 新增: FSDP2 Strategy
+ 训练支持 Sequence packing 和 Dynamic batching

🚀主要新特性：

+ Rollout
- DynamicSamplingScheduler协程化重构
- 自定义rollout pre/post process， 支持动态samping param、多阶段生成、ThinkingBudget控制
- Sglang： Strategy重构，支持server模式，onload/offload native化，inflight FP8 quant rollout，跨机多节点部署
- vLLM：DP/EP 支持， 支持vllm==0.12.0
- 提供AgentNative Rollout范式，AgentNativeStepEnvManager + SokobanNativeEnv，完全由env进行上下文管理
- Async Rollout Hang Detect：增加异步 Rollout 卡死检测，快速定位问题env
- 支持rollout dump & mock，提高forward/train阶段精度对齐效率
- agentic pipeline支持 train-val/rollout overlap
+ Training
- FSDP2
- Megatron support LoRA, LoRA RL blogs:[https://macaron.im/mindlab/research/building-trillion-parameter-reasoning-rl-with-10-gpus](https://macaron.im/mindlab/research/building-trillion-parameter-reasoning-rl-with-10-gpus)
- megatron训练时在线保存hf格式的模型参数
- support FP8 training for Megatron Strategy
- Sequence packing，微调loss_func接口定义
- Dynamic batching
- Add DeepSpeed SFT support
+ Model Update实现优化：消除机间冗余、权重转换和nccl broadcast overlap、优化host to device、多pp串行同步调整为lock模式同时同步
+ Asynchronous Feature
- 训练与 Rollout GPU部分重叠，训练空闲GPU切换为Rollout，report: [https://arxiv.org/abs/2512.24873](https://arxiv.org/abs/2512.24873)
- agentic off policy loss 与 IS 修正
+ Pipeline recipe
- VLM image tool use： DeepEyes，工具调用与reward计算overlap
+ Models：新增模型支持 Qwen3-VL、Qwen3-MoE-VL、Qwen3-Omni-Thinker、GLM-4.7

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