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Model details
Qwen2.5-Math 7B Instruct
Qwen2.5-Math 7B Instruct belongs to Alibaba's Qwen family of specialized mathematical language models, released in September 2024 as an upgrade to the earlier Qwen2-Math series. It is part of a broader lineup that includes base models at 1.5B, 7B, and 72B parameter scales, matching instruction-tuned variants, and a dedicated 72B mathematical reward model. The 7B Instruct version ships at roughly 7.6 billion parameters and is distributed in BF16 precision with open weights, making it accessible for local deployment and fine-tuning by the research community.
Unlike its predecessor which was limited to Chain-of-Thought reasoning in English, Qwen2.5-Math expands coverage to both English and Chinese math problems and adds Tool-Integrated Reasoning, allowing the model to combine natural language reasoning with symbolic computation, precise arithmetic, and algorithmic manipulation. On the MATH benchmark, the 7B Instruct model reaches 85.3 using TIR, demonstrating strong step-by-step problem solving for quadratic equations, matrix operations, and similar tasks where pure chain-of-thought reasoning tends to fail. The model is purpose-built for mathematical reasoning rather than general-purpose use, so it is best suited for educational tools, competition math assistance, and research workflows that benefit from its hybrid CoT plus tool-integrated approach.
Quick Info
Powered by- Provider
- Alibaba (China)
- Model key
- qwen2-5-math-7b-instruct
- Release date
- Sep 1, 2024
- Last updated
- Sep 1, 2024
- Knowledge cutoff
- 2024-04
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.144
- Output token cost
- $0.287
Limits
- Output tokens
- 3,072 tokens
- Context window
- 4,096 tokens
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