| --- |
| license: other |
| license_name: tongyi-qianwen |
| license_link: https://huggingface.co/Qwen/Qwen2-Math-72B/blob/main/LICENSE |
| language: |
| - en |
| pipeline_tag: text-generation |
| tags: |
| - chat |
| --- |
| |
|
|
| # Qwen2-Math-72B |
|
|
| ## Introduction |
|
|
| 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. |
|
|
|
|
| ## Model Details |
|
|
|
|
| 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). |
|
|
|
|
| ## Requirements |
| * `transformers>=4.40.0` for Qwen2-Math models. The latest version is recommended. |
|
|
| > [!Warning] |
| > <div align="center"> |
| > <b> |
| > 🚨 This is a must because `transformers` integrated Qwen2 codes since `4.37.0`. |
| > </b> |
| > </div> |
|
|
| 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). |
|
|
| > [!Important] |
| > |
| > **Qwen2-Math-72B-Instruct** is an instruction model for chatting; |
| > |
| > **Qwen2-Math-72B** is a base model typically used for completion and few-shot inference, serving as a better starting point for fine-tuning. |
| > |
| |
| ## Citation |
|
|
| If you find our work helpful, feel free to give us a citation. |
|
|
| ``` |
| @article{yang2024qwen2, |
| title={Qwen2 technical report}, |
| 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}, |
| journal={arXiv preprint arXiv:2407.10671}, |
| year={2024} |
| } |
| ``` |
|
|
