Qwen2.5-Coder-7B-Instruct-bnb-4bit is a quantized language model hosted on Hugging Face. It is the 4-bit version of the Qwen2.5-Coder-7B-Instruct model prepared by Unsloth and distributed for inference use.
The model follows a specific chat template that begins with a system prompt identifying it as Qwen created by Alibaba Cloud and designates it as a helpful assistant. The template includes support for tool calling through an XML-based format that supplies function signatures inside tools tags and expects responses inside tool_call tags containing JSON with name and arguments fields. This structure enables the model to process messages and invoke external functions when required.
It is delivered as a repository on the Hugging Face platform under the identifier unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit. Users obtain the model files through the standard Hugging Face ecosystem for loading with compatible inference libraries. The page belongs to the collection of open models that advance artificial intelligence through open source and open science.
No pricing, licensing terms, or additional capabilities beyond the listed prompt format appear in the repository metadata.
In the Coding AI & assistants space, Qwen2.5 Coder 7B Instruct Bnb takes a focused approach. It focuses on providing efficient, locally runnable code generation and instruction following capabilities. Qwen2.5 Coder 7B Instruct Bnb is an open-source project aimed at developers. The project is open source (Apache-2.0). Qwen2.5 Coder 7B Instruct Bnb is available on the web, the command line, and API.
It is developed by Unsloth, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.7k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 3 catalogued features are Code Generation, 4-bit Quantized, and Tool Calling. It exposes integrations via a public API.
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