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URL: https://huggingface.co/GAIR/Abel-7B-002

⇱ GAIR/Abel-7B-002 · Hugging Face


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Check out the documentation for more information.

We released Abel-7B-002, resulting in a stronger (35% improvement on GSM8K, 126% improvement on MATH) and more generalized model, achieving the best performance among all 7B models (80.44 on GSM8K, 29.46 on MATH)

Model GSM8k MATH MathQA SVAMP SCQ5K-EN ARC-E ARC-C HellaSwag MMLU
Abel-7B-002 80.44 29.46 69.78 77.67 55.95 77.67 55.05 77.72 61.19
Abel-7B-001 59.74 13 1.21 57.67 9.3 53.32 38.97 63.51 40.59
MetaMath-Mistral-7B 77.7 28.2 33.94 79.33 37.6 78.48 51.93 76.44 61.93
Qwen-7b 47.84 9.34 27.44 53 40.05 74.97 53.05 86.85 57.98
Mistral-7b 37.83 9.06 25.73 63 39.6 76.83 53.22 76.31 64.05
Yi-6b 32.6 5.78 26.98 55.67 35.5 73.66 49.53 68.97 64.02
LLaMA2-7b 12.96 2.78 11.52 44 28.24 71.12 46.61 71.32 46.7

Please cite the repo if the model/code/conclusion in this repo are helpful to you.

@misc{abel,
 author = {Chern, Ethan and Zou, Haoyang and Li, Xuefeng and Hu, Jiewen and Feng, Kehua and Li, Junlong and Liu, Pengfei},
 title = {Generative AI for Math: Abel},
 year = {2023},
 publisher = {GitHub},
 journal = {GitHub repository},
 howpublished = {\url{https://github.com/GAIR-NLP/abel}},
}
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