Qwen2.5-Math-1.5B
| Property | Value |
|---|---|
| Model Size | 1.5B parameters |
| Author | Qwen |
| Paper | arXiv:2409.12122 |
| Requirements | transformers>=4.37.0 |
What is Qwen2.5-Math-1.5B?
Qwen2.5-Math-1.5B is a specialized mathematical language model that represents a significant advancement in AI-powered mathematical problem-solving. Released as part of the Qwen2.5-Math series, this model is specifically designed to handle both English and Chinese mathematical problems using Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) approaches.
Implementation Details
The model introduces significant improvements over its predecessor, particularly in its ability to handle computational accuracy and complex mathematical reasoning. It achieves this through a dual approach of CoT for logical reasoning and TIR for precise computation and symbolic manipulation. The 1.5B parameter version serves as both a base model for fine-tuning and an instruction-tuned variant for direct application.
- Supports both Chain-of-Thought and Tool-integrated Reasoning
- Handles both English and Chinese mathematical problems
- Achieves 79.7 score on the MATH benchmark using TIR
- Requires transformers>=4.37.0 for implementation
Core Capabilities
- Precise mathematical computation and reasoning
- Bilingual problem-solving (English and Chinese)
- Symbolic manipulation and algorithmic operations
- Complex equation solving and matrix operations
- Base model functionality for fine-tuning purposes
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its dual capability in both Chain-of-Thought and Tool-integrated Reasoning, allowing it to handle both logical reasoning and precise mathematical computations effectively. It's also one of the few models specifically designed for bilingual mathematical problem-solving.
Q: What are the recommended use cases?
The model is specifically designed for mathematical problem-solving and should primarily be used for solving mathematical problems in English and Chinese. It's not recommended for general-purpose tasks outside of mathematics.
