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 sits in PulseGate's Foundation models & chat category. 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. The project is open source (Open Source). It ships for the web, the command line, and API.
cyankiwi builds and maintains Qwen3.5 35B A3B. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 3 catalogued features are AWQ quantization, mixture of Experts, and vision support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do