Qwen2.5-Math-1.5B

Qwen2.5-Math-1.5B

Qwen

Specialized 1.5B parameter math-focused LLM supporting both English and Chinese problem-solving through Chain-of-Thought and Tool-integrated Reasoning

PropertyValue
Model Size1.5B parameters
AuthorQwen
PaperarXiv:2409.12122
Requirementstransformers>=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.

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