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--- |
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license: apache-2.0 |
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datasets: |
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- MathGenie/MathCode-Pile |
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language: |
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- en |
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metrics: |
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- accuracy |
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base_model: |
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- codellama/CodeLlama-7b-hf |
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pipeline_tag: text-generation |
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tags: |
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- math |
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--- |
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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) |
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# QuantFactory/MathCoder2-CodeLlama-7B-GGUF |
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This is quantized version of [MathGenie/MathCoder2-CodeLlama-7B](https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B) created using llama.cpp |
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# Original Model Card |
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# MathCoder2 |
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### Introduction |
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The MathCoder2 models are created by conducting continued pretraining on [MathCode-Pile](https://huggingface.co/datasets/MathGenie/MathCode-Pile). They are introduced in the paper [MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code](https://arxiv.org/abs/2410.08196). |
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The mathematical pretraining dataset includes mathematical code accompanied with natural language reasoning steps, making it a superior resource for models aimed at performing advanced mathematical reasoning tasks. |
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### Evaluation |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65dd9e7b4a4fce1ec96dc6b7/BEZoDZLjp-fPFlt7oFXBa.png) |
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### Citation |
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If you find this repository helpful, please consider citing our papers: |
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``` |
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@misc{lu2024mathcoder2bettermathreasoning, |
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title={MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code}, |
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author={Zimu Lu and Aojun Zhou and Ke Wang and Houxing Ren and Weikang Shi and Junting Pan and Mingjie Zhan and Hongsheng Li}, |
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year={2024}, |
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eprint={2410.08196}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2410.08196}, |
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} |
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``` |
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``` |
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@inproceedings{ |
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wang2024mathcoder, |
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title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning}, |
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author={Zimu Lu and Aojun Zhou and Zimu Lu and Sichun Luo and Weikang Shi and Renrui Zhang and Linqi Song and Mingjie Zhan and Hongsheng Li}, |
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booktitle={The Twelfth International Conference on Learning Representations}, |
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year={2024}, |
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url={https://openreview.net/forum?id=z8TW0ttBPp} |
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} |
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``` |
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