Open R1 第三次更新：Hugging Face 釋出開源推理模型與 GRPO 訓練優化細節
Original: Open R1: Update #3
Since its launch, Hugging Face's Open R1 project has been dedicated to replicating the reasoning capabilities of DeepSeek-R1 in a fully…
Hugging Face 發表開源推理模型專案 Open R1 的第三次技術更新。本次更新重點在於釋出基於 Qwen/Llama 的全新推理模型，並詳細公開了使用 TRL 進行 GRPO（群體相對策略優化）的訓練細節。團隊成功解決了訓練中的「獎勵黑客」問題，並開源了完整的訓練數據集與配方，顯著降低了社群重現 DeepSeek-R1 推理能力的門檻。
Since its launch, Hugging Face's Open R1 project has been dedicated to replicating the reasoning capabilities of DeepSeek-R1 in a fully open-source manner. In its latest third update (Update #3), the research team has delivered several breakthrough advances, including the release of new models, optimization of the training framework, and the public disclosure of key technical details.
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