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README.md
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@@ -26,14 +26,13 @@ The [OpenThinker2-7B](https://huggingface.co/open-thoughts/OpenThinker2-7B) mode
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This model improves upon our previous [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) model, which was trained on 114k examples from [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/open-thoughts-114k).
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The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy).
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| Model
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| R1-Distill-7B
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| OlympicCoder-7B
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| OpenR1-7B
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## Data
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This model improves upon our previous [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) model, which was trained on 114k examples from [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/open-thoughts-114k).
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The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy).
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| Model | Data | AIME24 | AIME25 | AMC23 | MATH500 | GPQA-D | LCBv2 |
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| --------------------------------------------------------------------------------------------- | ---- | ------ | ------ | ----- | ------- | ------ | ----------- |
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| [OpenThinker2-7B](https://huggingface.co/open-thoughts/OpenThinker2-7B) | β
| 50.0 | 33.3 | 89.5 | 88.4 | 49.3 | 55.6 |
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| [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) | β
| 31.3 | 23.3 | 74.5 | 83.2 | 42.9 | 38.0 |
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| [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) | β | 57.3 | 33.3 | 92.0 | 89.6 | 47.3 | 48.4 |
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| [OlympicCoder-7B](https://huggingface.co/open-r1/OlympicCoder-7B) | β
| 20.7 | 15.3 | 63.0 | 74.8 | 25.3 | 55.4 |
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| [OpenR1-Qwen-7B](https://huggingface.co/open-r1/OpenR1-Qwen-7B) | β
| 48.7 | 34.7 | 88.5 | 87.8 | 21.2 | 9.5<br><br> |
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## Data
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