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pan-x-c merged 1 commit into from
Aug 26, 2025
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Fix links in readme #225

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6 changes: 3 additions & 3 deletions README.md
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* [2025-08] 🎵 We introduce [CHORD](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_chord), a dynamic integration of SFT and RL for enhanced LLM fine-tuning ([paper](https://arxiv.org/pdf/2508.11408)).
* [2025-08] ✨ Trinity-RFT v0.2.1 is released! Enhanced features include:
* Agentic RL: support training with general multi-step agentic workflows; check out the [ALFWorld](./docs/sphinx_doc/source/tutorial/example_step_wise.md) and [ReAct](./docs/sphinx_doc/source/tutorial/example_react.md) examples.
* Rollout-Training scheduling: introduce Scheduler, [Synchronizer](./docs/sphinx_doc/source/tutorial/synchronizer.html) and priority queue buffer, which facilitates more efficient and dynamic scheduling of the RFT process.
* Rollout-Training scheduling: introduce Scheduler, [Synchronizer](./docs/sphinx_doc/source/tutorial/synchronizer.md) and priority queue buffer, which facilitates more efficient and dynamic scheduling of the RFT process.
* [A benchmark tool](./benchmark) for quick verification and experimentation.
* RL algorithms: implement [GSPO](https://github.com/modelscope/Trinity-RFT/pull/154), [AsymRE](https://github.com/modelscope/Trinity-RFT/pull/187), [TOPR, CISPO](https://github.com/modelscope/Trinity-RFT/pull/185), [RAFT](https://github.com/modelscope/Trinity-RFT/pull/174).
* [2025-07] Trinity-RFT v0.2.0 is released.
Expand Down Expand Up @@ -362,8 +362,8 @@ Guidelines for developers and researchers:

+ [Build new RL scenarios](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#workflows-for-rl-environment-developers)
+ [Implement new RL algorithms](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#algorithms-for-rl-algorithm-developers)
+ [Develop new data operators](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.html#operators-for-data-developers)
+ [Understand the coordination between explorer and trainer](./docs/sphinx_doc/source/tutorial/synchronizer.html)
+ [Develop new data operators](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#operators-for-data-developers)
+ [Understand the coordination between explorer and trainer](./docs/sphinx_doc/source/tutorial/synchronizer.md)



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6 changes: 3 additions & 3 deletions README_zh.md
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* [2025-08] 🎵 我们推出了 [CHORD](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_chord)，一种动态整合 SFT 和 RL 来微调 LLM 的方法（[论文](https://arxiv.org/pdf/2508.11408)）。
* [2025-08] ✨ 发布 Trinity-RFT v0.2.1 版本！新增功能包括：
* 智能体 RL：支持通用多轮工作流的训练；请参考 [ALFWorld](./docs/sphinx_doc/source/tutorial/example_step_wise.md) 和 [ReAct](./docs/sphinx_doc/source/tutorial/example_react.md) 例子。
* Rollout-Training 调度: 通过引入 Scheduler, [Synchronizer](./docs/sphinx_doc/source/tutorial/synchronizer.html) 以及优先队列类型 Buffer, 支持 RFT 流程中更高效与灵活的调度。
* Rollout-Training 调度: 通过引入 Scheduler, [Synchronizer](./docs/sphinx_doc/source/tutorial/synchronizer.md) 以及优先队列类型 Buffer, 支持 RFT 流程中更高效与灵活的调度。
* [Benchmark 工具](./benchmark)，用于快速验证与实验。
* RL 算法：实现 [GSPO](https://github.com/modelscope/Trinity-RFT/pull/154), [AsymRE](https://github.com/modelscope/Trinity-RFT/pull/187), [TOPR, CISPO](https://github.com/modelscope/Trinity-RFT/pull/185), [RAFT](https://github.com/modelscope/Trinity-RFT/pull/174) 等算法。
* [2025-07] 发布 Trinity-RFT v0.2.0 版本，新增了多项功能优化。
Expand Down Expand Up @@ -361,8 +361,8 @@ trinity run --config examples/grpo_gsm8k/gsm8k.yaml

+ [构建新的 RL 场景](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#workflows-for-rl-environment-developers)
+ [实现新的 RL 算法](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#algorithms-for-rl-algorithm-developers)
+ [开发新的数据处理操作](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.html#operators-for-data-developers)
+ [理解 explorer-trainer 调度逻辑](./docs/sphinx_doc/source/tutorial/synchronizer.html)
+ [开发新的数据处理操作](./docs/sphinx_doc/source/tutorial/trinity_programming_guide.md#operators-for-data-developers)
+ [理解 explorer-trainer 调度逻辑](./docs/sphinx_doc/source/tutorial/synchronizer.md)



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10 changes: 5 additions & 5 deletions docs/sphinx_doc/source/main.md
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Expand Up @@ -10,9 +10,9 @@

* [2025-08] 🎵 We introduce [CHORD](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_chord), a dynamic integration of SFT and RL for enhanced LLM fine-tuning ([paper](https://arxiv.org/pdf/2508.11408)).
* [2025-08] ✨ Trinity-RFT v0.2.1 is released! Enhanced features include:
* Agentic RL: support training with general multi-step agentic workflows; check out the [ALFWorld](./docs/sphinx_doc/source/tutorial/example_step_wise.md) and [ReAct](./docs/sphinx_doc/source/tutorial/example_react.md) examples.
* Rollout-Training scheduling: introduce Scheduler, [Synchronizer](./docs/sphinx_doc/source/tutorial/synchronizer.html) and priority queue buffer, which facilitates more efficient and dynamic scheduling of the RFT process.
* [A benchmark tool](./benchmark) for quick verification and experimentation.
* Agentic RL: support training with general multi-step agentic workflows; check out the [ALFWorld](/tutorial/example_step_wise.md) and [ReAct](/tutorial/example_react.md) examples.
* Rollout-Training scheduling: introduce Scheduler, [Synchronizer](/tutorial/synchronizer.md) and priority queue buffer, which facilitates more efficient and dynamic scheduling of the RFT process.
* [A benchmark tool](https://github.com/modelscope/Trinity-RFT/tree/main/benchmark) for quick verification and experimentation.
* RL algorithms: implement [GSPO](https://github.com/modelscope/Trinity-RFT/pull/154), [AsymRE](https://github.com/modelscope/Trinity-RFT/pull/187), [TOPR, CISPO](https://github.com/modelscope/Trinity-RFT/pull/185), [RAFT](https://github.com/modelscope/Trinity-RFT/pull/174).
* [2025-07] Trinity-RFT v0.2.0 is released.
* [2025-07] We update the [technical report](https://arxiv.org/abs/2505.17826) (arXiv v2) with new features, examples, and experiments.
Expand Down Expand Up @@ -341,8 +341,8 @@ Guidelines for developers and researchers:

+ {ref}`Build new RL scenarios <Workflows>`
+ {ref}`Implement new RL algorithms <Algorithms>`
+ [Develop new data operators](/tutorial/trinity_programming_guide.html#operators-for-data-developers)
+ [Understand the coordination between explorer and trainer](/tutorial/synchronizer.html)
+ [Develop new data operators](/tutorial/trinity_programming_guide.md#operators-for-data-developers)
+ [Understand the coordination between explorer and trainer](/tutorial/synchronizer.md)


For some frequently asked questions, see [FAQ](/tutorial/faq.md).
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