Qwen3-4B-Instruct-2507-GGUF is a GGUF-formatted, quantized version of Alibaba's Qwen3 4B instruct model. It supports local execution with tools such as llama.cpp and is optimized for efficient inference on consumer hardware. The model includes advanced tool-calling capabilities and is suitable for developers building local AI applications.
Qwen3 4B Instruct 2507 is a Foundation models & chat project. It focuses on running the Qwen3 4B model locally using GGUF-compatible inference engines. Qwen3 4B Instruct 2507 is an open-source project aimed at developers. Qwen3 4B Instruct 2507 is open source under the MIT license. Qwen3 4B Instruct 2507 is available on the web and the command line.
Behind Qwen3 4B Instruct 2507 is MaziyarPanahi, and it first shipped in 2023. The project is developed in the open on GitHub with 121.1k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 21 similar projects in PulseGate's index. Among its 3 catalogued features are GGUF format, tool calling, and quantized inference.
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