| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | pipeline_tag: text-generation |
| | tags: |
| | - chat |
| | --- |
| | |
| |
|
| | # Qwen2-Math-1.5B |
| |
|
| | ## 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. |
| |
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| |
|
| | ## Model Details |
| |
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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). |
| |
|
| |
|
| | ## 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-1.5B-Instruct** is an instruction model for chatting; |
| | > |
| | > **Qwen2-Math-1.5B** 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} |
| | } |
| | ``` |
