---
license: apache-2.0
---

see our paper in: [https://arxiv.org/abs/2310.05506](https://arxiv.org/abs/2310.05506)
## Model Details
MuggleMATH is fully fine-tuned on the AugGSM8K and AugMATH datasets and based on the LLaMA-2 Models. 
## **Model Usage**
prompting template:
'''
"Below is an instruction that describes a task. " "Write a response that appropriately completes the request.\n\n" "### Instruction:\n{instruction}\n\n### Response:"
'''
We recommend using vllm to accelerate inference.
## Experiment
|  | GSM8K | MATH |
| --- | --- | --- |
| MuggleMATH-7B | 69.8 | 25.8 |
| MuggleMATH-13B | 74.3 | 30.7 |
| MuggleMATH-70B | 82.5 | 42.1 |

## **Citation**
@misc{li2023query,
      title={Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization}, 
      author={Chengpeng Li and Zheng Yuan and Hongyi Yuan and Guanting Dong and Keming Lu and Jiancan Wu and Chuanqi Tan and Xiang Wang and Chang Zhou},
      journal={arXiv preprint arXiv: 2310.05506},
year={2023}
}