Open-R1: a fully open reproduction of DeepSeek-R1

Open-R1 has been released as a fully open reproduction of the DeepSeek-R1 model, which focuses on enhancing retrieval-augmented generation tasks. The architecture maintains a transformer-based framework with optimizations for efficiency, including a reduced parameter count of 1.5 billion, while achieving benchmark results that are competitive with proprietary models. This open-source release allows practitioners to leverage and modify the model for various applications, fostering reproducibility and innovation in retrieval-augmented systems.