| |
|
| | --- |
| | |
| | license: apache-2.0 |
| | datasets: |
| | - MathGenie/MathCode-Pile |
| | language: |
| | - en |
| | metrics: |
| | - accuracy |
| | base_model: |
| | - codellama/CodeLlama-7b-hf |
| | pipeline_tag: text-generation |
| | tags: |
| | - math |
| |
|
| | --- |
| | |
| | [](https://hf.co/QuantFactory) |
| |
|
| |
|
| | # QuantFactory/MathCoder2-CodeLlama-7B-GGUF |
| | This is quantized version of [MathGenie/MathCoder2-CodeLlama-7B](https://huggingface.co/MathGenie/MathCoder2-CodeLlama-7B) created using llama.cpp |
| |
|
| | # Original Model Card |
| |
|
| |
|
| | # MathCoder2 |
| |
|
| | ### Introduction |
| |
|
| | 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). |
| |
|
| | 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. |
| |
|
| | ### Evaluation |
| |
|
| |  |
| |
|
| | ### Citation |
| |
|
| | If you find this repository helpful, please consider citing our papers: |
| |
|
| | ``` |
| | @misc{lu2024mathcoder2bettermathreasoning, |
| | title={MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code}, |
| | author={Zimu Lu and Aojun Zhou and Ke Wang and Houxing Ren and Weikang Shi and Junting Pan and Mingjie Zhan and Hongsheng Li}, |
| | year={2024}, |
| | eprint={2410.08196}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.CL}, |
| | url={https://arxiv.org/abs/2410.08196}, |
| | } |
| | ``` |
| | ``` |
| | @inproceedings{ |
| | wang2024mathcoder, |
| | title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning}, |
| | 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}, |
| | booktitle={The Twelfth International Conference on Learning Representations}, |
| | year={2024}, |
| | url={https://openreview.net/forum?id=z8TW0ttBPp} |
| | } |
| | ``` |
| |
|
