| Field | Response | |
| :------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------- | |
| Intended Task/Domain: | Reasoning for Math, Code Science Solution Generation | |
| Model Type: | Transformer | |
| Intended Users: | Solving competitive programming questions and evaluation for benchmark comparison. | |
| Output: | Text | |
| Describe how the model works: | The model generates a reasoning trace and responds with a final solution in response to a user prompting a programming question. | |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable | |
| Technical Limitations & Mitigation: | This model is not applicable for Software Engineering tasks. It primarily should be used for competitive coding challenges that require optimized code solutions that can operate in appropriate space and time complexity. | |
| Verified to have met prescribed NVIDIA quality standards: | Yes | |
| Performance Metrics: | Pass@1 score | |
| Potential Known Risks: | The model may provide incorrect code solutions that fail to solve the problem. The model may enter a feedback loop and constantly generate reasoning tokens without generating the final solution. | |
| Licensing: | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/deed.en/) | |