NeMo checkpoint for OpenMath2-Llama3.1-70B which is obtained by finetuning Llama3.1-70B-Base with OpenMathInstruct-2.

The model outperforms Llama3.1-70B-Instruct on MATH by 3.9%.

The pipeline we used to produce the data and models is fully open-sourced!

See our paper to learn more details!

Our models are trained with the same "chat format" as Llama3.1-instruct models (same system/user/assistant tokens). Please note that these models have not been instruction tuned on general data and thus might not provide good answers outside of math domain.

This is a NeMo checkpoint, so you need to use NeMo Framework to run inference or finetune it. We also release a HuggingFace checkpoint and provide easy instructions on how to convert between different formats or run inference with these models using our codebase.

We provide all instructions to fully reproduce our results.

If you find our work useful, please consider citing us!

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