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+ ---
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+ license: other
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+ license_name: tongyi-qianwen
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+ license_link: https://huggingface.co/Qwen/Qwen2-Math-72B/blob/main/LICENSE
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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+ ---
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+
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+
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+ # Qwen2-Math-72B
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+
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+ ## Introduction
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+
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+ Over the past year, we have dedicated significant effort to researching and enhancing the reasoning capabilities of large language models, with a particular focus on their ability to solve arithmetic and mathematical problems. Today, we are delighted to introduce a serise of math-specific large language models of our Qwen2 series, Qwen2-Math and Qwen2-Math-Instruct-1.5B/7B/72B. Qwen2-Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o). We hope that Qwen2-Math can contribute to the scientific community for solving advanced mathematical problems that require complex, multi-step logical reasoning.
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+
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+
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+ ## Model Details
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+
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+
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+ For more details, please refer to our [blog post](https://qwenlm.github.io/blog/qwen2-math/) and [GitHub repo](https://github.com/QwenLM/Qwen2-Math).
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+
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+
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+ ## Requirements
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+ * `transformers>=4.40.0` for Qwen2-Math models. The latest version is recommended.
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+
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+ > [!Warning]
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+ > <div align="center">
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+ > <b>
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+ > 🚨 This is a must because `transformers` integrated Qwen2 codes since `4.37.0`.
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+ > </b>
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+ > </div>
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+
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+ For requirements on GPU memory and the respective throughput, see similar results of Qwen2 [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html).
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+
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+ > [!Important]
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+ >
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+ > **Qwen2-Math-72B-Instruct** is an instruction model for chatting;
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+ >
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+ > **Qwen2-Math-72B** is a base model typically used for completion and few-shot inference, serving as a better starting point for fine-tuning.
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+ >
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+
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+ ## Citation
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+
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+ If you find our work helpful, feel free to give us a citation.
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+
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+ ```
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+ @article{yang2024qwen2,
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+ title={Qwen2 technical report},
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+ author={Yang, An and Yang, Baosong and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Zhou, Chang and Li, Chengpeng and Li, Chengyuan and Liu, Dayiheng and Huang, Fei and others},
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+ journal={arXiv preprint arXiv:2407.10671},
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+ year={2024}
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+ }
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+ ```