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| QwQ-32B | ❌ | 80.9 | 78.0 | 62.0 | 98.0 | 91.6 | 66.3 | 89.2 |
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This model was trained on the [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) dataset.
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We generate the additional math and code data by ablating on various question generation methodologies and sampling from the highest performing ones.
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See the [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) model page or our [blog post]() for additional information.
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| QwQ-32B | ❌ | 80.9 | 78.0 | 62.0 | 98.0 | 91.6 | 66.3 | 89.2 |
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## Data
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This model was trained on the [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) dataset.
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The [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) dataset was constructed by augmenting [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/open-thoughts-114k) with existing datasets like [OpenR1](https://huggingface.co/open-r1), as well as additional math and code reasoning data.
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We generate the additional math and code data by ablating on various question generation methodologies and sampling from the highest performing ones.
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See the [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) model page or our [blog post]() for additional information.
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