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Hugging Face releases tutorials and open-source projects replicating DeepSeek R1's reinforcement learning training methodology

Open source release Provisional 85% confidence first seen

Hugging Face published educational materials and launched the Open-R1 project to reproduce DeepSeek R1's reinforcement learning training approach, including a tutorial demonstrating the "aha moment" where models learn to allocate thinking time using Group Relative Policy Optimization. The Open-R1 project successfully replicated DeepSeek R1's evaluation scores on MATH-500 within one week and scaled synthetic data generation across multiple GPU nodes.

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