DeepSeek-R1-Distill-Qwen-1.5B
DeepSeek-R1-Distill-Qwen-1.5B is an open source language model with efficient inference, suitable for a variety of natural language processing tasks.
Product Details
DeepSeek-R1-Distill-Qwen-1.5B is an open source language model developed by the DeepSeek team and is optimized for distillation based on the Qwen2.5 series. The model uses large-scale reinforcement learning and data distillation techniques to significantly improve reasoning capabilities and performance while maintaining a small model size. It performs well on multiple benchmarks, with significant advantages in math, code generation, and reasoning tasks. The model supports commercial use and allows users to modify and develop derivative works. It is suitable for research institutions and enterprises to develop high-performance natural language processing applications.
Main Features
How to Use
Target Users
This model is suitable for researchers, developers and enterprises who need efficient inference and high-performance natural language processing capabilities. It is particularly suitable for those who need to run complex tasks in resource-constrained environments, such as deploying language models on edge devices or low-power servers.
Examples
In academic research, researchers can use this model to experiment and optimize natural language processing tasks.
Developers can integrate it into chatbots to improve the reasoning capabilities and response speed of the dialogue system.
Enterprises can develop customized text generation tools based on this model to automatically generate reports or codes.
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