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haipeng1
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README.md
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**Discord**: https://discord.gg/VZjjHtWrKs
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❗<b>Note for model system prompts usage:</b>
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@@ -76,3 +82,21 @@ Recently, there have been clear changes in the open-source policy and regulation
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Despite this, we have still worked hard to obtain opening the weights of the model first, but the data involves stricter auditing and is in review with our legal team .
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Our researchers have no authority to publicly release them without authorization.
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Thank you for your understanding.
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**Discord**: https://discord.gg/VZjjHtWrKs
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## Comparing WizardMath-V1.0 with Other LLMs.
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🔥 The following figure shows that our **WizardMath-70B-V1.0 attains the fifth position in this benchmark**, surpassing ChatGPT (81.6 vs. 80.8) , Claude Instant (81.6 vs. 80.9), PaLM 2 540B (81.6 vs. 80.7).
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<p align="center" width="100%">
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<a ><img src="https://raw.githubusercontent.com/nlpxucan/WizardLM/main/WizardMath/images/wizardmath_gsm8k.png" alt="WizardMath" style="width: 96%; min-width: 300px; display: block; margin: auto;"></a>
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</p>
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❗<b>Note for model system prompts usage:</b>
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Despite this, we have still worked hard to obtain opening the weights of the model first, but the data involves stricter auditing and is in review with our legal team .
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Our researchers have no authority to publicly release them without authorization.
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Thank you for your understanding.
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## Inference Demo Script
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We provide the inference demo code [here](https://github.com/nlpxucan/WizardLM/tree/main/demo).
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## Citation
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Please cite the repo if you use the data, method or code in this repo.
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```
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@article{luo2023wizardmath,
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title={WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct},
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author={Luo, Haipeng and Sun, Qingfeng and Xu, Can and Zhao, Pu and Lou, Jianguang and Tao, Chongyang and Geng, Xiubo and Lin, Qingwei and Chen, Shifeng and Zhang, Dongmei},
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journal={arXiv preprint arXiv:2308.09583},
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year={2023}
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}
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```
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