Hugging Face 發布 Open R1 第四次更新：開源推理模型訓練的最新進展與最佳化
Original: Open R1: Update #4
Hugging Face's Open R1 project aims to fully open-source and replicate the training pipeline of DeepSeek-R1's reasoning model. In the…
Hugging Face 釋出 Open R1 專案的第四次技術更新。本階段重點在於提升 TRL 框架中 GRPO（群體相對策略最佳化）的訓練效率與記憶體最佳化，並釋出針對數學與程式碼推理的全新合成資料集。團隊分享了在 Qwen 與 Llama 模型上進行強化學習（RL）訓練的最新評測結果，為開源社群複製 DeepSeek-R1 的推理能力提供更完整的實踐指南。
Hugging Face's Open R1 project aims to fully open-source and replicate the training pipeline of DeepSeek-R1's reasoning model. In the latest fourth update (Update #4), the research team has brought several key advances, focusing primarily on training efficiency optimization, dataset expansion, and model evaluation.
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