Qwen2.5-7B-Instruct is the 7B parameter instruction-tuned version of the Qwen2.5 model hosted on Hugging Face by Unsloth. It functions as a foundation model that follows a defined chat template for conversational and instruction-based interactions.
The model incorporates explicit support for tool calling. Its prompt format instructs the model to use function signatures supplied inside XML-style tools tags and to emit calls inside tool_call tags containing JSON objects with function name and arguments. A default system prompt identifies the model as Qwen created by Alibaba Cloud and positions it as a helpful assistant. The template handles both cases with and without an initial system message from the user.
It is delivered as downloadable model weights on the Hugging Face platform under the repository unsloth/Qwen2.5-7B-Instruct. The page belongs to the class of foundation models and is part of the broader open-source ecosystem promoted by Hugging Face for advancing artificial intelligence through open science.
No pricing, licensing terms, or additional deployment formats are stated on the page.
Qwen2.5 7B Instruct is a Foundation models & chat product. It focuses on running high-performance instruction-tuned LLMs locally with reduced memory and faster inference. It is built as an open-source project for developers and researchers. Qwen2.5 7B Instruct is open source under the Apache-2.0 license. The product ships for the web, the command line, and API.
Behind Qwen2.5 7B Instruct is Unsloth, and the product first shipped in 2023. Development happens publicly on GitHub with 68.6k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include instruction following, tool calling, and chat template.
Latest indexed changes and source events
unsloth/Qwen2.5-7B-Instruct verified by the PulseGate indexer
Other apps tracked under the same category.
