A 4-bit AWQ quantized checkpoint of the Qwen3.5-35B-A3B Mixture-of-Experts model. It supports multimodal inputs including images and video and is optimized for local execution using tools compatible with the GGUF or AWQ format. The model is intended for developers wanting high-performance local AI capabilities.
Qwen3.5 35B A3B is a Foundation models & chat product. It focuses on enabling efficient local inference of a large Mixture-of-Experts model with reduced VRAM usage. It is built as an open-source project for developers. Qwen3.5 35B A3B is open source under the Open Source license. Qwen3.5 35B A3B is available on the web, the command line, and API.
Behind Qwen3.5 35B A3B is cyankiwi. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include AWQ quantization, mixture of Experts, and vision support.
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cyankiwi/Qwen3.5-35B-A3B-AWQ-4bit verified by the PulseGate indexer
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