Add paper link and pipeline tag
Browse filesThis PR adds a link to the paper and the `pipeline_tag` to make the model discoverable.
README.md
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---
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license: llama3.1
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base_model:
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- meta-llama/Llama-3.1-70B
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datasets:
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- nvidia/OpenMathInstruct-2
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language:
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- en
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tags:
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- nvidia
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- math
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---
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# OpenMath2-Llama3.1-70B-nemo
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[NeMo](https://github.com/NVIDIA/NeMo) checkpoint for [OpenMath2-Llama3.1-70B](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B) which is obtained by finetuning [Llama3.1-70B-Base](https://huggingface.co/meta-llama/Llama-3.1-70B) with [OpenMathInstruct-2](https://huggingface.co/datasets/nvidia/OpenMathInstruct-2).
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The model outperforms [Llama3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) on [MATH](https://github.com/hendrycks/math) by 3.9%.
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| Model | GSM8K | MATH | AMC 2023 | AIME 2024 | Omni-MATH |
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|:---|:---:|:---:|:---:|:---:|:---:|
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| Llama3.1-8B-Instruct | 84.5 | 51.9 | 9/40 | 2/30 | 12.7 |
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| OpenMath2-Llama3.1-8B ([nemo](https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B-nemo)
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| + majority@256 | 94.1 | 76.1 | 23/40 | 3/30 | 24.6 |
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| Llama3.1-70B-Instruct | 95.8 | 67.9 | 19/40 | 6/30 | 19.0 |
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| **OpenMath2-Llama3.1-70B** ([nemo](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B-nemo)
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| + majority@256 | 96.0 | 79.6 | 24/40 | 6/30 | 27.6 |
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The pipeline we used to produce the data and models is fully open-sourced!
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## Terms of use
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By accessing this model, you are agreeing to the LLama 3.1 terms and conditions of the [license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE), [acceptable use policy](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/USE_POLICY.md) and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/)
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---
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base_model:
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- meta-llama/Llama-3.1-70B
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datasets:
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- nvidia/OpenMathInstruct-2
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language:
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- en
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license: llama3.1
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tags:
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- nvidia
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- math
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pipeline_tag: text-generation
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library_name: nemo
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---
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# OpenMath2-Llama3.1-70B-nemo
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[NeMo](https://github.com/NVIDIA/NeMo) checkpoint for [OpenMath2-Llama3.1-70B](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B) which is obtained by finetuning [Llama3.1-70B-Base](https://huggingface.co/meta-llama/Llama-3.1-70B) with [OpenMathInstruct-2](https://huggingface.co/datasets/nvidia/OpenMathInstruct-2).
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This model is presented in the paper [OpenCodeReasoning: Advancing Data Distillation for Competitive Coding](https://huggingface.co/papers/2504.01943).
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The model outperforms [Llama3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) on [MATH](https://github.com/hendrycks/math) by 3.9%.
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| Model | GSM8K | MATH | AMC 2023 | AIME 2024 | Omni-MATH |
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|:---|:---:|:---:|:---:|:---:|:---:|
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| Llama3.1-8B-Instruct | 84.5 | 51.9 | 9/40 | 2/30 | 12.7 |
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| OpenMath2-Llama3.1-8B ([nemo](https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B-nemo) | [HF](https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B)) | 91.7 | 67.8 | 16/40 | 3/30 | 22.0 |
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| + majority@256 | 94.1 | 76.1 | 23/40 | 3/30 | 24.6 |
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| Llama3.1-70B-Instruct | 95.8 | 67.9 | 19/40 | 6/30 | 19.0 |
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| **OpenMath2-Llama3.1-70B** ([nemo](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B-nemo) | [HF](https://huggingface.co/nvidia/OpenMath2-Llama3.1-70B)) | 94.9 | 71.9 | 20/40 | 4/30 | 23.1 |
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| + majority@256 | 96.0 | 79.6 | 24/40 | 6/30 | 27.6 |
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The pipeline we used to produce the data and models is fully open-sourced!
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## Terms of use
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By accessing this model, you are agreeing to the LLama 3.1 terms and conditions of the [license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE), [acceptable use policy](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/USE_POLICY.md) and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/)
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