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 sits in PulseGate's Foundation models & chat category. 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. The project is open source (MIT). The product ships for the web and the command line.
It is developed by MaziyarPanahi, and the product 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 apps in PulseGate's index. Among its 3 catalogued features are GGUF format, tool calling, and quantized inference.
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MaziyarPanahi/Qwen3-4B-Instruct-2507-GGUF verified by the PulseGate indexer
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