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README.md
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@@ -65,7 +65,7 @@ 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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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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**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 Type(s):** Text <br>
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**Output Type(s):** Text <br>
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**Runtime Engine(s):** <br>
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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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