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license: apache-2.0
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---
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license: apache-2.0
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---
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see our paper in: [https://arxiv.org/abs/2310.05506](https://arxiv.org/abs/2310.05506)
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## Model Details
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MuggleMATH is fully fine-tuned on the AugGSM8K and AugMATH datasets and based on the LLaMA-2 Models.
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## **Model Usage**
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prompting template:
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'''
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"Below is an instruction that describes a task. " "Write a response that appropriately completes the request.\n\n" "### Instruction:\n{instruction}\n\n### Response:"
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'''
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We recommend using vllm to accelerate inference.
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## Experiment
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| | GSM8K | MATH |
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| --- | --- | --- |
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| MuggleMATH-7B | 69.8 | 25.8 |
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| MuggleMATH-13B | 74.3 | 30.7 |
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| MuggleMATH-70B | 82.5 | 42.1 |
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## **Citation**
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@misc{li2023query,
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title={Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization},
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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},
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journal={arXiv preprint arXiv: 2310.05506},
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year={2023}
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}
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