Developed by the DeepSeek team, the DeepSeek-R1-Distill-Qwen-1.5B is an open-source language model optimized through distillation based on the Qwen2.5 series. This model significantly enhances inference capabilities and performance through large-scale reinforcement learning and data distillation techniques while maintaining a compact model size. It excels in various benchmark tests, especially in mathematics, code generation, and reasoning tasks. The model supports commercial use and allows users to modify and develop derivative works, making it ideal for research institutions and enterprises looking to create high-performance natural language processing applications.