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Skywork OR1
Overview :
Skywork-OR1 is a high-performance mathematical code reasoning model developed by Kunlun Wanwei's Tiangong team. This model series achieves industry-leading inference performance with comparable parameter scales, breaking through the bottleneck of large models in logical understanding and complex task solving. The Skywork-OR1 series includes three models: Skywork-OR1-Math-7B, Skywork-OR1-7B-Preview, and Skywork-OR1-32B-Preview, focusing on mathematical reasoning, general reasoning, and high-performance reasoning tasks, respectively. This open-source release not only includes model weights but also fully opens the training dataset and complete training code. All resources have been uploaded to GitHub and Hugging Face, providing the AI community with a fully reproducible practical reference. This comprehensive open-source strategy helps to promote the common progress of the entire AI community in reasoning ability research.
Target Users :
This product primarily targets AI developers, data scientists, mathematics researchers, and educators. For AI developers, Skywork-OR1 provides powerful reasoning capabilities, helping them quickly build and optimize models. For mathematics researchers, the model can serve as a research tool to assist in solving complex mathematical problems. Educators can leverage this model to develop teaching resources and improve teaching effectiveness.
Use Cases
In mathematical competitions, the Skywork-OR1-Math-7B model helps contestants quickly answer complex mathematical problems, improving competition results.
In software development projects, the Skywork-OR1-7B-Preview model automatically generates code snippets, significantly shortening the development cycle.
In the field of education, the Skywork-OR1-32B-Preview model assists teachers in generating teaching cases, enriching teaching content.
Features
Provides excellent mathematical reasoning capabilities, efficiently solving complex mathematical problems such as advanced mathematics problems and mathematical competition problems.
Possesses powerful code generation and optimization capabilities, automatically generating high-quality code and improving development efficiency.
Supports multi-domain applications, suitable not only for mathematics and programming but also extensible to education, scientific research, and other fields.
Employs advanced training techniques such as multi-stage training and dynamic data filtering to ensure continuous improvement of model performance.
Open-sources model weights, training datasets, and complete training code, providing developers with rich learning and research resources.
How to Use
Access the Skywork-OR1 model's open-source code and training dataset on GitHub or Hugging Face.
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Select the appropriate model version (e.g., Skywork-OR1-Math-7B, Skywork-OR1-7B-Preview, or Skywork-OR1-32B-Preview) based on project needs.
Install the necessary dependency libraries in your local environment and load the model weights.
Use the model for inference tasks such as solving mathematical problems or generating code.
Further process or optimize the model output as needed to meet the requirements of specific application scenarios.
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