Qwen2.5 7B Instruct is a 4-bit GPTQ quantized version of the 7B parameter instruction-tuned model from the Qwen2.5 series. It is hosted on Hugging Face under the repository name Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4. The model is presented as part of the Qwen family created by Alibaba Cloud.
The provided page contains a chat template that defines its behavior for system prompts and tool use. When a conversation begins without an explicit system message it defaults to the statement that the model is Qwen created by Alibaba Cloud and is a helpful assistant. The template supports tool calling by supplying function signatures inside XML-style tools tags and instructs the model to respond with function calls wrapped in tool_call tags containing a JSON object with name and arguments fields. This structure enables the model to handle multiple tools in a single response.
It is distributed as a model repository on the Hugging Face platform. The page title and repository identifier confirm the specific quantized variant.
In the Foundation models & chat space, Qwen2.5 7B Instruct takes a focused approach. It focuses on running a capable 7B instruction-tuned LLM efficiently on consumer or edge hardware with reduced memory usage. Qwen2.5 7B Instruct is an open-source project aimed at developers and AI application builders. The project is open source (Open Source). Qwen2.5 7B Instruct is available on the web, the command line, and API.
Behind Qwen2.5 7B Instruct is Alibaba Cloud, based in China, and the product first shipped in 2024. The project is developed in the open on GitHub with 27.4k stars. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 3 catalogued features are Instruction Tuning, GPTQ Quantization, and Tool Calling. It exposes integrations via a public API.
Latest indexed changes and source events
Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 verified by the PulseGate indexer
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