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.
Qwen3.6 35B A3B sits in PulseGate's Foundation models & chat category. 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). It runs on the web, the command line, and API.
It is developed by ykarout, and the product 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. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 3 catalogued features are Large Language Model, Quantized Weights, and Multimodal Support.
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ykarout/Qwen3.6-35B-A3B-NVFP4 verified by the PulseGate indexer
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