This is a GGUF quantized release of the Qwen3-30B-A3B-Instruct model published on Hugging Face. It enables efficient local inference of a powerful 30-billion-parameter language model using tools such as llama.cpp or Ollama. The model supports instruction following, tool calling, and is optimized for on-device or self-hosted use cases.
Qwen3 30B A3B Instruct 2507 sits in PulseGate's Foundation models & chat category. It focuses on running large language models locally without relying on cloud APIs. Qwen3 30B A3B Instruct 2507 is an open-source project aimed at developers. The project is open source (MIT). Qwen3 30B A3B Instruct 2507 is available on the web, the command line, and API.
MaziyarPanahi builds and maintains Qwen3 30B A3B Instruct 2507, and it first shipped in 2023. The project is developed in the open on GitHub with 122.3k 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 4 catalogued features are GGUF Quantization, Instruct Tuning, and Tool Calling.
Summary written by a language model from the project’s public pages.
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