This is a community-quantized version of the Qwen3.6-35B model using NVFP4 precision. It supports both text and vision inputs and is optimized for reduced memory usage and faster inference on compatible hardware. The model is intended for local deployment and experimentation.
In the Quantised & converted weights space, Qwen3.6 35B A3B takes a focused approach. It focuses on running a large-scale multimodal language model efficiently on consumer or edge hardware through quantization. Qwen3.6 35B A3B is an open-source project aimed at developers. The project is open source (Apache-2.0). Qwen3.6 35B A3B is available on the web, the command line, and API.
ykarout builds and maintains Qwen3.6 35B A3B, and it first shipped in 2023. The project is developed in the open on GitHub with 30.6k stars and 3.6k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 3 catalogued features are Large Language Model, Quantized Weights, and Multimodal Support.
Summary written by a language model from the project’s public pages.
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