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@@ -84,6 +84,8 @@ The pipeline we used to produce these models is fully open-sourced!
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- [Models](https://huggingface.co/collections/nvidia/openmath-65c5619de2ba059be0775014)
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- [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-1)
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# How to use the models?
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Try to [run inference with our models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/inference.md) with just a few commands!
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If you find our work useful, please consider citing us!
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- [Models](https://huggingface.co/collections/nvidia/openmath-65c5619de2ba059be0775014)
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- [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-1)
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See our [paper](https://arxiv.org/abs/2402.10176) for more details!
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# How to use the models?
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Try to [run inference with our models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/inference.md) with just a few commands!
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If you find our work useful, please consider citing us!
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```bibtex
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@article{toshnival2024openmath,
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title = {OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset},
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author = {Shubham Toshniwal and Ivan Moshkov and Sean Narenthiran and Daria Gitman and Fei Jia and Igor Gitman},
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year = {2024},
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journal = {arXiv preprint arXiv: Arxiv-2402.10176}
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}
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```
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