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| Name | Quant method | Size |
|---|---|---|
| JiuZhang3.0-7B.Q2_K.gguf | Q2_K | 2.53GB |
| JiuZhang3.0-7B.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| JiuZhang3.0-7B.IQ3_S.gguf | IQ3_S | 2.96GB |
| JiuZhang3.0-7B.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| JiuZhang3.0-7B.IQ3_M.gguf | IQ3_M | 3.06GB |
| JiuZhang3.0-7B.Q3_K.gguf | Q3_K | 3.28GB |
| JiuZhang3.0-7B.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| JiuZhang3.0-7B.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| JiuZhang3.0-7B.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| JiuZhang3.0-7B.Q4_0.gguf | Q4_0 | 3.83GB |
| JiuZhang3.0-7B.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| JiuZhang3.0-7B.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| JiuZhang3.0-7B.Q4_K.gguf | Q4_K | 4.07GB |
| JiuZhang3.0-7B.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| JiuZhang3.0-7B.Q4_1.gguf | Q4_1 | 4.24GB |
| JiuZhang3.0-7B.Q5_0.gguf | Q5_0 | 4.65GB |
| JiuZhang3.0-7B.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| JiuZhang3.0-7B.Q5_K.gguf | Q5_K | 4.78GB |
| JiuZhang3.0-7B.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| JiuZhang3.0-7B.Q5_1.gguf | Q5_1 | 5.07GB |
| JiuZhang3.0-7B.Q6_K.gguf | Q6_K | 5.53GB |
| JiuZhang3.0-7B.Q8_0.gguf | Q8_0 | 7.17GB |
| Models | GSM8k | MATH | SVAMP | ASDiv | MAWPS | CARP | Avg. |
|---|---|---|---|---|---|---|---|
| GPT-4 | 92.2 | 65.4 | 92.9 | 94.3 | 96.6 | 53.6 | 82.5 |
| 20B+ Models | |||||||
| Llemma-34B | 60.2 | 24.6 | 68.0 | 75.6 | 89.8 | 36.5 | 59.1 |
| Intern-Math-20B | 64.9 | 27.4 | 74.9 | 79.6 | 94.4 | 42.3 | 63.9 |
| ChatGLM-Math-32B | 82.6 | 40.6 | - | - | - | - | - |
| MAmmoTH2-8x7B-Plus | 86.4 | 47.0 | 90.0 | 92.2 | 97.0 | 45.8 | 76.4 |
| JiuZhang3.0-8x7B | 89.8 | 53.8 | 90.2 | 93.1 | 96.7 | 52.3 | 79.3 |
| 7-8B Models | |||||||
| Mistral-7B-MMIQC | 75.0 | 34.2 | 73.5 | 82.1 | 90.1 | 36.5 | 65.2 |
| MetaMath-Mistral-7B | 77.8 | 29.6 | 79.6 | 81.2 | 93.7 | 30.5 | 65.4 |
| Abel-7B-002 | 80.4 | 29.6 | 78.8 | 82.7 | 93.5 | 33.2 | 66.4 |
| WizardMath-7B-1.1 | 82.2 | 32.8 | 80.7 | 84.2 | 93.8 | 31.9 | 67.6 |
| Math-Shepherd-Mistral-7B | 84.3 | 34.4 | 82.9 | 82.8 | 92.5 | 32.9 | 68.3 |
| KPMath-DSMath-7B | 83.9 | 48.8 | 81.5 | 88.9 | 94.8 | - | - |
| MAmmoTH2-7B-Plus | 84.2 | 46.2 | 90.3 | 90.3 | 97.1 | 44.3 | 75.2 |
| MAmmoTH2-8B-Plus | 84.4 | 41.2 | 89.9 | 89.9 | 97.1 | 44.8 | 74.6 |
| DeepSeekMath-7B-Instruct | 82.3 | 45.8 | 83.7 | 90.1 | 95.7 | 45.8 | 73.9 |
| DeepSeekMath-7B-RL | 88.2 | 50.2 | 87.3 | 91.8 | 95.5 | 51.6 | 77.4 |
| JiuZhang3.0-7B | 88.6 | 52.8 | 90.4 | 92.6 | 97.3 | 51.0 | 78.8 |
| JiuZhang3.0-8B | 88.6 | 51.0 | 89.4 | 92.6 | 97.1 | 50.9 | 78.3 |
## Question
{question}
## Solution
{solution}## Question
{question}
## Code Solution
{solution}@article{zhou2024jiuzhang30,
title={JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models},
author={Kun Zhou and Beichen Zhang and Jiapeng Wang and Zhipeng Chen and Wayne Xin Zhao and Jing Sha and Zhichao Sheng and Shijin Wang and Ji-Rong Wen},
year={2024},
}