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README.md
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## Benchmark Scores
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| Benchmark | Score |
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|:-----------------------------------------------------------------|---------:|
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| gsm8k (strict-match) | 0.4268 |
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As with any language model, there is a potential for generating biased or inaccurate information. Users should be aware of these limitations and use the model responsibly.
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### Citation and Related Information
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## Benchmark Scores
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Pass@1(avg-of-64)
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| Benchmark | Pass@1 (avg-of-64) | Majority@64 |
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| :-------- | :----------------- | :---------- |
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| AIME24 | 59.43 | 71.67 |
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| AIME25 | 49.69 | 60.00 |
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| gpqa | 42.01 | 47.22 |
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| hmmt | 27.86 | 30.00 |
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| hle | 5.22 | N/A |
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| mmlu-pro | 55.49 | 60.60 |
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| math500 | 93.80 | 95.40 |
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| LCB | 34.51 | N/A |
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Pass@1(avg-of-1)
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| Benchmark | Score |
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|:-----------------------------------------------------------------|---------:|
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| gsm8k (strict-match) | 0.4268 |
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As with any language model, there is a potential for generating biased or inaccurate information. Users should be aware of these limitations and use the model responsibly.
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### Footnotes
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- Base model: This model builds on NVIDIA's OpenReasoning-Nemotron-1.5B (`https://huggingface.co/nvidia/OpenReasoning-Nemotron-1.5B`).
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- Evaluation methodology:
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- Pass@1 (avg-of-1): computed using `lm_eval` and `lighteval`.
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- Pass@1 (avg-of-64) and Majority@64: computed using `nemoskills`.
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### Citation and Related Information
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