Qwen2.5-Math-72B
| Property | Value |
|---|---|
| Model Size | 72B parameters |
| Author | Qwen |
| Release Date | September 2024 |
| Paper | arXiv:2409.12122 |
| Model URL | Hugging Face |
What is Qwen2.5-Math-72B?
Qwen2.5-Math-72B is an advanced mathematical language model designed specifically for solving mathematical problems in both English and Chinese. As part of the Qwen2.5-Math series, it represents a significant upgrade from its predecessor, incorporating both Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) capabilities.
Implementation Details
The model requires transformers>=4.37.0 and leverages state-of-the-art architectural improvements to achieve superior mathematical reasoning capabilities. It's available in both base and instruction-tuned variants, with the latter achieving an impressive 87.8% accuracy on the MATH benchmark using TIR.
- Supports both English and Chinese mathematics problems
- Implements Chain-of-Thought (CoT) reasoning
- Features Tool-integrated Reasoning (TIR) for precise computations
- Available in multiple sizes: 1.5B, 7B, and 72B parameters
Core Capabilities
- Solving complex mathematical problems through step-by-step reasoning
- Handling computational accuracy challenges
- Processing symbolic manipulations
- Supporting algorithmic reasoning tasks
- Finding roots of quadratic equations
- Computing matrix eigenvalues
Frequently Asked Questions
Q: What makes this model unique?
This model combines both CoT and TIR capabilities, making it particularly effective for mathematical reasoning tasks. It represents a significant improvement over previous versions, especially in handling both English and Chinese mathematical problems with high accuracy.
Q: What are the recommended use cases?
The model is specifically designed for mathematical problem-solving and should primarily be used for solving math problems in English and Chinese. It's not recommended for general-purpose tasks outside of mathematics.
