| Model Type |  | 
| Use Cases | 
| Areas: | | research, mathematics, education | 
 |  | Applications: | | math problem-solving, quantitative analysis | 
 |  | Primary Use Cases: | | Solving complex mathematical problems, Math instruction and tutoring | 
 |  | Limitations: | | not tuned for general instruction | 
 |  | Considerations: | | The model is optimized for mathematical problem solving and may not perform well outside this domain. | 
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| Additional Notes | | The model is specifically fine-tuned for mathematical instructions and may not generalize to other domains. | 
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| Supported Languages |  | 
| Training Details | 
| Data Sources: | | nvidia/OpenMathInstruct-2 | 
 |  | Methodology: |  |  | 
| Input Output | 
| Input Format: | | Chat format with system/user/assistant tokens | 
 |  | Accepted Modalities: |  |  | Output Format: | | Text with answer highlighted in \boxed{} format | 
 |  | Performance Tips: | | Use recommended inference settings and prompt formats as detailed in the tutorial for best performance. | 
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