| Model Type | |
| Use Cases |
| Areas: | | research, mathematics, education |
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| Applications: | | math problem-solving, quantitative analysis |
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| Primary Use Cases: | | Solving complex mathematical problems, Math instruction and tutoring |
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| Limitations: | | not tuned for general instruction |
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| 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 |
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| Methodology: | |
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| Input Output |
| Input Format: | | Chat format with system/user/assistant tokens |
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| Accepted Modalities: | |
| Output Format: | | Text with answer highlighted in \boxed{} format |
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| Performance Tips: | | Use recommended inference settings and prompt formats as detailed in the tutorial for best performance. |
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