Qwen2.5-Math-72B-Instruct
| Property | Value |
|---|---|
| Parameter Count | 72.7B |
| License | Qwen License |
| Paper | arXiv:2409.12122 |
| Tensor Type | BF16 |
What is Qwen2.5-Math-72B-Instruct?
Qwen2.5-Math-72B-Instruct is an advanced mathematical language model that represents a significant evolution in the Qwen family of AI models. Released as part of the Qwen2.5-Math series, this instruction-tuned model is specifically designed to excel at mathematical problem-solving using both Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) approaches in both English and Chinese.
Implementation Details
The model requires transformers>=4.37.0 and can be deployed using the Hugging Face Transformers library. It achieves an impressive 87.8 score on the MATH benchmark using TIR, demonstrating superior performance in mathematical reasoning tasks.
- Supports both Chain-of-Thought and Tool-integrated Reasoning
- Bilingual capability in English and Chinese
- Enhanced computational accuracy for complex mathematical operations
- Specialized in symbolic manipulation and algorithmic reasoning
Core Capabilities
- Solving complex mathematical equations and problems
- Precise computation and symbolic manipulation
- Step-by-step reasoning with detailed explanations
- Matrix operations and advanced mathematical concepts
- Integration of natural language reasoning with programmatic solutions
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines both CoT and TIR approaches, allowing it to not only explain mathematical reasoning step-by-step but also handle precise computations and complex algorithmic tasks. It's specifically optimized for mathematical problem-solving rather than general-purpose tasks.
Q: What are the recommended use cases?
The model is specifically designed for solving mathematical problems in both English and Chinese. It excels at tasks requiring detailed mathematical reasoning, equation solving, and complex computational problems. However, it's not recommended for general-purpose tasks outside the mathematical domain.
