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Qwen2.5-Math

The world's leading mathematical open source large language model

#Open source
#educational tools
#mathematical model
#Bilingual support
#algorithmic reasoning
Qwen2.5-Math

Product Details

Qwen2.5-Math is a series of open source large language models specially designed for mathematical problems, including basic models and instruction fine-tuning models. It supports Chinese and English bilinguals and can solve mathematical problems through chain of thought (CoT) and tool integrated reasoning (TIR). The model performs well on multiple mathematical benchmarks, especially in terms of precise calculations and algorithmic operations. The development background of Qwen2.5-Math is to improve the application capabilities of large language models in the field of mathematics and promote the development of mathematics education and research.

Main Features

1
Support bilingual math problem solving in Chinese and English
2
Using Chain of Thoughts (CoT) and Tool Integrated Reasoning (TIR) ​​techniques
3
Achieve high scores on multiple math benchmarks
4
Provide basic models and instruction fine-tuning models to meet different needs
5
Supports the construction of mathematical pre-training data sets and parameter initialization
6
Improve problem solving quality through iterative generation of fine-tuning data and reinforcement learning
7
Provide Demo experience and support local code execution

How to Use

1
Visit Qwen2.5-Math’s GitHub page or related platforms
2
Select the appropriate model version to download or use online as needed
3
Read the documentation to learn how to use the model and set parameters
4
Configure the required runtime environment on-premises or in the cloud
5
Enter a math problem and use the model to answer it
6
Analyze and verify based on model output results
7
Solution results for applying models in teaching or research

Target Users

The target audience of Qwen2.5-Math is mainly educators, students, researchers, and developers who need to solve mathematical problems. It is especially suitable for users who need to solve mathematical problems efficiently and accurately, and can provide strong support whether in academic research or education.

Examples

Teachers use Qwen2.5-Math to provide students with answers to complex math problems

Researchers use models to verify mathematical theories and develop algorithms

Students improve their mathematical problem-solving abilities through model-assisted learning

Quick Access

Visit Website →

Categories

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› AI model
› AI development platform

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