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WizardMath/README.md

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 [![Model Weight License](https://img.shields.io/badge/Model%20Weights%20License-LLaMA2-yellow)](WizardMath/LICENSE)
 [![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/release/python-390/)
 
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+🤗 <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> • 🐦 <a href="https://twitter.com/WizardLM_AI" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2304.12244" target="_blank">[WizardLM]</a>  • 📃 <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a>  <br>
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+    👋 Join our <a href="https://discord.gg/VZjjHtWrKs" target="_blank">Discord</a>
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+<a ><img src="../imgs/WizardLM.png" alt="WizardLM" style="width: 20%; min-width: 300px; display: block; margin: auto;"></a>
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 To develop our WizardMath model, we begin with adapting the **Evol-Instruct** and **Reinforcement Learning methods** specifically for math tasks, like GSM8k and MATH. This involves tailoring the prompt to the domain of math-related instructions. Subsequently, we fine-tune the LLaMA 2, utilizing the newly created instruction-following math training set.
 
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 ## News
 
 - 🔥 Our **WizardMath-70B-V1.0** model slightly outperforms some closed-source LLMs on the GSM8K, including **ChatGPT 3.5**, **Claude Instant 1** and **PaLM 2 540B**.