DeepScaleR-1.5B-Preview is a large language model optimized by reinforcement learning, dedicated to enhancing the capabilities of solving mathematical problems. It achieves significant improvements in accuracy within long-text inference scenarios, driven by distributed reinforcement learning algorithms. Key advantages include efficient training strategies, notable performance gains, and the flexibility of open-source availability. Developed by the Sky Computing Lab and Berkeley AI Research team at the University of California, Berkeley, this model aims to advance the application of artificial intelligence in education, especially in mathematics education and competitive mathematics. Available under the MIT open-source license, it is completely free for researchers and developers to use.