This is an AWQ-quantized 4B parameter version of the Qwen 3.5 model optimized for efficient inference. It supports advanced features including tool use and vision capabilities. The model is distributed on Hugging Face for use with Transformers or local inference engines.
Qwen3.5 4B is a Quantised & converted weights project. It focuses on running a capable 4B parameter language model efficiently on limited hardware. Qwen3.5 4B is an open-source project aimed at developers. Qwen3.5 4B is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
Behind Qwen3.5 4B is QuantTrio, and it first shipped in 2023. Development happens publicly 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. Key capabilities include Quantized Inference, Tool Calling, and Multimodal Support.
Summary written by a language model from the project’s public pages.
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