1. Tutorial Introduction

The computing resources used in this tutorial are dual-card A6000.

OpenCodeReasoning-Nemotron-32B, released by NVIDIA on May 9, 2025, is a high-performance large language model designed specifically for code reasoning and generation. It is the flagship version of the OpenCodeReasoning (OCR) model suite, supporting a context length of 32K tags. Related research papers are available. OpenCodeReasoning: Advancing Data Distillation for Competitive Coding .

2. Project Examples

3. Operation steps

1. Start the container

If "Model" is not displayed, it means the model is being initialized. Since the model is large, please wait about 2-3 minutes and refresh the page.

2. After entering the webpage, you can start a conversation with the model

4. Discussion

🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓

Citation Information

Thanks to Github user SuperYang  Deployment of this tutorial. The reference information of this project is as follows:

@article{ahmad2025opencodereasoning,
      title={OpenCodeReasoning: Advancing Data Distillation for Competitive Coding}, 
      author={Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg},
      year={2025},
      eprint={2504.01943},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2504.01943}, 
}