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README.md
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@@ -30,7 +30,7 @@ The model outperforms [Llama3.1-70B-Instruct](https://huggingface.co/meta-llama/
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The pipeline we used to produce the data and models is fully open-sourced!
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- [Code](https://github.com/
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- [Models](https://huggingface.co/collections/nvidia/openmath-2-66fb142317d86400783d2c7b)
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- [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-2)
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This is a NeMo checkpoint, so you need to use [NeMo Framework](https://github.com/NVIDIA/NeMo) to run inference or finetune it.
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We also release a [HuggingFace checkpoint](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B) and provide easy instructions on how to
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[convert between different formats](https://github.com/
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[run inference](https://github.com/
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# Reproducing our results
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We provide [all instructions](https://github.com/
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## Citation
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The pipeline we used to produce the data and models is fully open-sourced!
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- [Code](https://github.com/NVIDIA/NeMo-Skills)
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- [Models](https://huggingface.co/collections/nvidia/openmath-2-66fb142317d86400783d2c7b)
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- [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-2)
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This is a NeMo checkpoint, so you need to use [NeMo Framework](https://github.com/NVIDIA/NeMo) to run inference or finetune it.
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We also release a [HuggingFace checkpoint](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B) and provide easy instructions on how to
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[convert between different formats](https://github.com/NVIDIA/NeMo-Skills/blob/main/docs/checkpoint-conversion.md) or
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[run inference](https://github.com/NVIDIA/NeMo-Skills/blob/main/docs/inference.md) with these models using our codebase.
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# Reproducing our results
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We provide [all instructions](https://github.com/NVIDIA/NeMo-Skills/blob/main/docs/reproducing-results.md) to fully reproduce our results.
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## Citation
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