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@@ -64,7 +64,7 @@ The pipeline we used to produce the data and models is fully open-sourced!
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  We provide [all instructions](https://nvidia.github.io/NeMo-Skills/openmathreasoning1/)
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  to fully reproduce our results, including data generation.
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- # How to use the models?
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  Our models can be used in 3 inference modes: chain-of-thought (CoT), tool-integrated reasoning (TIR) and generative solution selection (GenSelect).
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  Huggingface 04/23/2025 <br>
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- ## Model Architecture: <br>
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  **Architecture Type:** Transformer decoder-only language model  <br>
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  ** This model has 1.5B of model parameters. <br>
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- ## Input: <br>
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  **Input Type(s):** Text <br>
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- ## Output: <br>
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  **Output Type(s):** Text <br>
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- ## Software Integration : <br>
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  **Runtime Engine(s):** <br>
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- ## Model Version(s):
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  [OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
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  We provide [all instructions](https://nvidia.github.io/NeMo-Skills/openmathreasoning1/)
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  to fully reproduce our results, including data generation.
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+ ## How to use the models?
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  Our models can be used in 3 inference modes: chain-of-thought (CoT), tool-integrated reasoning (TIR) and generative solution selection (GenSelect).
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  Huggingface 04/23/2025 <br>
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+ ### Model Architecture: <br>
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  **Architecture Type:** Transformer decoder-only language model  <br>
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  ** This model has 1.5B of model parameters. <br>
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+ ### Input: <br>
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  **Input Type(s):** Text <br>
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+ ### Output: <br>
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  **Output Type(s):** Text <br>
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+ ### Software Integration : <br>
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  **Runtime Engine(s):** <br>
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+ ### Model Version(s):
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  [OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
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