This is a 4-bit AWQ quantized version of the Qwen 3.5 27B model. It supports both text and vision inputs while significantly reducing memory usage compared to the original model. The model is designed for local inference and is compatible with common LLM serving frameworks.
Qwen3.5 27B is a Foundation models & chat project. It focuses on running a powerful 27B parameter multimodal model efficiently on consumer hardware with reduced memory requirements. Qwen3.5 27B is an open-source project aimed at developers and researchers running local LLMs. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
Behind Qwen3.5 27B is cyankiwi, and it first shipped in 2023. Development happens publicly on GitHub with 30.7k stars and 3.7k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include Quantized Model, Large Language Model, and Vision Support.
Summary written by a language model from the project’s public pages.
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