Hugging Face's Open R1 project is a fully open-source DeepSeek-R1 replication project that aims to build the missing parts of the R1 pipeline so that everyone can replicate and build on them.
Key features of the project include:
- Open source nature: the project is fully open source and supports community contribution and collaboration
- Full functionality: complete scripts for training and evaluating models and generating synthetic data are available
- Multi-stage training: demonstrating the complete R1 pipeline replication process from the base model to the reinforcement learning tuning model
- Ease of use: Includes detailed installation and usage instructions to lower the barrier to use
The Open R1 project is guided by the DeepSeek-R1 technical report, which replicates the complete training process in three main steps: firstly, it replicates the R1-Distill model, then it replicates the pure reinforcement learning process, and finally it demonstrates a multi-stage training transition from the base model to RL tuning.
This answer comes from the articleOpen R1: Hugging Face Replicates the Training Process of DeepSeek-R1The
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