Qwen2.5-Coder-14B-Instruct-GPTQ-Int4 is a quantized language model hosted on Hugging Face. It is the INT4 GPTQ version of the 14B parameter Qwen2.5-Coder-14B-Instruct model created by Alibaba Cloud. The model follows a system prompt that identifies it as Qwen, created by Alibaba Cloud, and positions it as a helpful assistant capable of using tools via function calls.
The provided prompt template supports two conversation formats. When a system message is present it inserts that content directly; otherwise it supplies a default system message. For tool use it supplies an XML-based instruction block that lists available tools in JSON format inside <tools tags and requires the model to emit function calls inside <tool_call tags containing a JSON object with name and arguments fields. The template handles both the case where the first message is a system message and the case where it is not.
The model is delivered as a repository on the Hugging Face platform. It can be downloaded and run using the Hugging Face ecosystem of libraries and inference tools. No pricing, licensing terms, or additional supported platforms are stated on the page.
In the Coding AI & assistants space, Qwen2.5 Coder 14B Instruct takes a focused approach. It focuses on enabling efficient local execution of a powerful coding-focused large language model with reduced memory usage. It is built as an open-source project for developers. The project is open source (Open Source). Qwen2.5 Coder 14B Instruct is available on the web, the command line, and API.
Qwen builds and maintains Qwen2.5 Coder 14B Instruct, and it first shipped in 2024. The project is developed in the open on GitHub with 16.7k stars. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include Code Generation, GPTQ Quantization, and Instruction Following.
Summary written by a language model from the project’s public pages.
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