unsloth/Qwen2.5-Math-1.5B

Hugging Face
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 23, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Warm

The unsloth/Qwen2.5-Math-1.5B is a 1.5 billion parameter Qwen2.5-Math series model developed by Qwen, specifically designed for solving mathematical problems. It supports both Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) in English and Chinese. This model is optimized for precise computation and algorithmic manipulation in mathematical tasks, offering significant performance improvements over its predecessor.

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Qwen2.5-Math-1.5B: A Specialized Mathematical LLM

This model is part of the Qwen2.5-Math series, developed by Qwen, and is specifically engineered for mathematical problem-solving. Unlike its predecessor, Qwen2-Math, this series expands its capabilities to support both English and Chinese math problems using two primary reasoning approaches: Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR).

Key Capabilities

  • Bilingual Math Solving: Supports mathematical problems in both English and Chinese.
  • Advanced Reasoning: Utilizes Chain-of-Thought (CoT) for enhanced reasoning and Tool-integrated Reasoning (TIR) for precise computation and symbolic manipulation.
  • Performance Improvement: Achieves significant performance gains on Chinese and English mathematics benchmarks compared to the Qwen2-Math series.
  • Instruction-tuned Variant: The Qwen2.5-Math-1.5B-Instruct version is available for conversational use, while Qwen2.5-Math-1.5B serves as a base model for completion and fine-tuning.

Good For

  • Solving complex mathematical problems requiring precise computation.
  • Applications needing robust reasoning capabilities in both English and Chinese math contexts.
  • Fine-tuning for specific mathematical domains or tasks where a strong mathematical foundation is crucial.

Note: This model is primarily intended for mathematical tasks and is not recommended for general-purpose applications.