Qwen/Qwen2.5-Math-7B-Instruct
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Sep 19, 2024License:apache-2.0Architecture:Transformer0.1K Open Weights Warm

Qwen/Qwen2.5-Math-7B-Instruct is a 7.6 billion parameter instruction-tuned causal language model developed by Qwen, specifically optimized for solving mathematical problems. This model supports both Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) for English and Chinese math tasks. It is designed to enhance computational accuracy and handle complex mathematical reasoning, achieving strong performance on benchmarks like MATH.

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