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bumping version to 0.4.1
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README.md

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## 🚀 News
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* [2026-01] [[Release Notes]](https://github.com/modelscope/Trinity-RFT/releases/tag/v0.4.1) Trinity-RFT v0.4.1 released: upgraded verl to v0.7.0, Tinker backend supports OpenAI API, bug fixes.
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* [2026-01] Introducing [R3L](https://github.com/shiweijiezero/R3L): a systematic reflect-then-retry RL mechanism with efficient language-guided exploration and stable off-policy learning ([paper](https://arxiv.org/abs/2601.03715)).
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* [2025-12] [[Release Notes]](https://github.com/modelscope/Trinity-RFT/releases/tag/v0.4.0) Trinity-RFT v0.4.0 released: added [Tinker](https://thinkingmachines.ai/tinker/) backend for users **without GPUs**, add more benchmarks, enhance online RL and more.
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* [2025-12] Trinity-RFT powers the medical and health business of "Taobao Shangou", enabling the AI agent to understand vague symptoms, proactively ask follow-up questions, and provide precise recommendations ([News](https://tech.china.com.cn/sx/20251201/411376.shtml)).

README_zh.md

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## 🚀 新闻
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* [2026-01] [[发布说明]](https://github.com/modelscope/Trinity-RFT/releases/tag/v0.4.1) Trinity-RFT v0.4.1 发布:升级 verl 至 v0.7.0,Tinker 后端支持 OpenAI API,修复若干 Bug。
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* [2026-01] 推出 [R3L](https://github.com/shiweijiezero/R3L):基于反思-重试的强化学习机制,由自然语言反馈引导高效探索,并达成稳定的 off-policy 学习([论文](https://arxiv.org/abs/2601.03715))。
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* [2025-12] [[发布说明]](https://github.com/modelscope/Trinity-RFT/releases/tag/v0.4.0) Trinity-RFT v0.4.0 发布:新增[Tinker](https://thinkingmachines.ai/tinker/) 后端以支持在 **无 GPU** 的设备上训练,增加更多基准测试,增强在线 RL 等功能。
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* [2025-12] Trinity-RFT 已支持 [tinker](https://thinkingmachines.ai/tinker/) 训练后端,可在**无 GPU 的设备**上进行模型训练。

pyproject.toml

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[project]
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name = "trinity-rft"
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version = "0.4.0"
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version = "0.4.1"
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authors = [
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{name="Trinity-RFT Team", email="[email protected]"},
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]

trinity/__init__.py

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# -*- coding: utf-8 -*-
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"""Trinity-RFT (Reinforcement Fine-Tuning)"""
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__version__ = "0.4.0"
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__version__ = "0.4.1"

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