Qwen2.5-Math-7B-Instruct is a foundation model hosted on Hugging Face that belongs to the Qwen2.5 series. It is designed to perform mathematical reasoning by following a default system instruction that directs it to reason step by step and enclose its final answer within a boxed format.
The model includes a chat template that supplies this instruction when no system message is provided by the user. It also defines a tool-calling format that allows the model to invoke external functions during inference, with function signatures supplied inside XML-style tags and calls returned in a structured JSON object wrapped in custom XML tags. This template is expressed in a Jinja-style syntax that handles both system-prompt and tool scenarios.
The model is delivered as a downloadable asset on the Hugging Face platform under the repository Qwen/Qwen2.5-Math-7B-Instruct. It can be loaded with the standard Transformers library for local or hosted inference. No pricing, licensing terms, or specific target audience beyond general model users are stated on the page.
In the Reasoning space, Qwen2.5 Math 7B Instruct takes a focused approach. It focuses on solving complex math problems and providing structured reasoning that general models struggle with. It is built as an open-source project for developers. Qwen2.5 Math 7B Instruct is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by Qwen, and it first shipped in 2024. The project is developed in the open on GitHub with 1.1k stars. It competes in a saturated segment with 25 similar projects in PulseGate's index. Among its 3 catalogued features are Mathematical Reasoning, Step-by-Step Solutions, and Tool Integration.
Summary written by a language model from the project’s public pages.
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