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@@ -23,7 +23,7 @@ This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggin
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  [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) dataset.
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  The [OpenThinker2-32B](https://huggingface.co/open-thoughts/OpenThinker2-32B) model is the highest performing open-data model.
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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 | Open Data? | Avg | AIME24 | AIME25 | AMC23 | MATH500 | GPQA-D | LCBv2 |
 
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  [OpenThoughts2-1M](https://huggingface.co/datasets/open-thoughts/OpenThoughts2-1M) dataset.
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  The [OpenThinker2-32B](https://huggingface.co/open-thoughts/OpenThinker2-32B) model is the highest performing open-data model.
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+ This model improves upon our previous [OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) 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 | Open Data? | Avg | AIME24 | AIME25 | AMC23 | MATH500 | GPQA-D | LCBv2 |