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Model: WizardLMTeam/WizardMath-7B-V1.1 Source: Original Platform
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README.md
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README.md
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---
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inference: false
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language:
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- en
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pipeline_tag: text-generation
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---
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## WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF)
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<p style="font-size:28px;" align="center">
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🏠 <a href="https://wizardlm.github.io/" target="_blank">Home Page</a> </p>
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<p align="center">
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<p align="center">
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🤗 <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/nlpxucan/WizardLM" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/WizardLM_AI" target="_blank">Twitter</a> </p>
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<p align="center">
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📃 <a href="https://arxiv.org/abs/2304.12244" target="_blank">[WizardLM]</a> • 📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a> • 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a> <br>
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</p>
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<p align="center">
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👋 Join our <a href="https://discord.gg/VZjjHtWrKs" target="_blank">Discord</a>
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</p>
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## News
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[12/19/2023] 🔥 We released **WizardMath-7B-V1.1** trained from Mistral-7B, the **SOTA 7B math LLM**, achieves **83.2 pass@1** on GSM8k, and **33.0 pass@1** on MATH. Use this [[**Demo**](http://47.103.63.15:50083/)] to chat with it.
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[12/19/2023] 🔥 **WizardMath-7B-V1.1** outperforms **ChatGPT 3.5**, **Gemini Pro**, **Mixtral MOE**, and **Claude Instant** on GSM8K pass@1.
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[12/19/2023] 🔥 **WizardMath-7B-V1.1** is comparable with **ChatGPT 3.5**, **Gemini Pro**, and surpasses **Mixtral MOE** on MATH pass@1.
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| Model | Checkpoint | Paper | GSM8k | MATH | Demo|
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| ----- |------| ---- |------|-------|-------|
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| **WizardMath-7B-V1.1** | 🤗 <a href="https://huggingface.co/WizardLM/WizardMath-7B-V1.1" target="_blank">HF Link</a> | 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **83.2** | **33.0** |[[**Demo**](http://47.103.63.15:50083/)] |
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| WizardMath-70B-V1.0 | 🤗 <a href="https://huggingface.co/WizardLM/WizardMath-70B-V1.0" target="_blank">HF Link</a> | 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **81.6** | **22.7** ||
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| WizardMath-13B-V1.0 | 🤗 <a href="https://huggingface.co/WizardLM/WizardMath-13B-V1.0" target="_blank">HF Link</a> | 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **63.9** | **14.0** ||
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| WizardMath-7B-V1.0 | 🤗 <a href="https://huggingface.co/WizardLM/WizardMath-7B-V1.0" target="_blank">HF Link</a> | 📃 <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **54.9** | **10.7** | |
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## [12/19/2023] Comparing WizardMath-7B-V1.1 with other open source 7B size math LLMs.
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| Model | GSM8k Pass@1 | MATH Pass@1 |
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| ----- |------| ---- |
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| MPT-7B | 6.8 | 3.0 |
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|Llama 1-7B | 11.0 | 2.9 |
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|Llama 2-7B|12.3 |2.8 |
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|Yi-6b| 32.6 |5.8 |
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|Mistral-7B|37.8 |9.1 |
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|Qwen-7b|47.8 |9.3 |
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| RFT-7B | 50.3 | -- |
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| MAmmoTH-7B (COT) | 50.5 | 10.4 |
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| WizardMath-7B-V1.0 | 54.9 | 10.7 |
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|Abel-7B-001 |59.7 |13 |
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| MetaMath-7B | 66.5 | 19.8 |
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| Arithmo-Mistral-7B | 74.7 | 25.3 |
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|MetaMath-Mistral-7B|77.7 |28.2 |
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|Abel-7B-002 | 80.4 | 29.5 |
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| **WizardMath-7B-V1.1** | **83.2** | **33.0** |
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## [12/19/2023] Comparing WizardMath-7B-V1.1 with large open source (30B~70B) LLMs.
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| Model | GSM8k Pass@1 | MATH Pass@1 |
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| ----- |------| ---- |
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| Llemma-34B | 51.5 | 25.0 |
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| Minerva-62B | 52.4 | 27.6 |
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| Llama 2-70B | 56.8 | 13.5 |
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| DeepSeek 67B | 63.4 | -- |
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| Gork 33B | 62.9 | 23.9 |
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| MAmmoTH-70B | 72.4 | 21.1 |
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| Yi-34B | 67.9 | 15.9 |
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| Mixtral 8x7B | 74.4 | 28.4 |
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| MetaMath-70B | 82.3 | 26.6 |
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| **WizardMath-7B-V1.1** | **83.2** | **33.0** |
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## ❗ Data Contamination Check:
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Before model training, we carefully and rigorously checked all the training data, and used multiple deduplication methods to verify and prevent data leakage on GSM8k and MATH test set.
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🔥
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❗<b>Note for model system prompts usage:</b>
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Please use **the same systems prompts strictly** with us, and we do not guarantee the accuracy of the **quantified versions**.
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**Default version:**
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```
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"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:"
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```
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**CoT Version:** （❗For the **simple** math questions, we do NOT recommend to use the CoT prompt.）
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```
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"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: Let's think step by step."
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```
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## Inference WizardMath Demo Script
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We provide the WizardMath 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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