This is an INT4 GPTQ-quantized version of the Qwen3.5-27B model from the Qwen team. It supports multimodal inputs including text, images, and video. The quantization enables more efficient inference while maintaining strong performance across various tasks.
In the Foundation models & chat space, Qwen3.5 27B takes a focused approach. It focuses on running a large 27B parameter multimodal model efficiently with INT4 quantization. It is built as an open-source project for developers. Qwen3.5 27B is open source under the Apache-2.0 license. It runs on the web, the command line, and API.
It is developed by Qwen, and the product 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 apps. Key capabilities include GPTQ Quantization, multimodal, and Vision Support. It exposes integrations via a public API.
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