This is an AWQ-quantized 27B parameter version of Alibaba's Qwen3.5 language model. It supports text generation, tool use, and multimodal inputs while requiring significantly less memory than the original. The model is distributed via Hugging Face for use with popular inference frameworks.
Qwen3.5 27B sits in PulseGate's Quantised & converted weights category. It focuses on running large language models efficiently on consumer or enterprise hardware using quantized weights. It is built as an open-source project for developers and researchers. The project is open source (Apache-2.0). Qwen3.5 27B is available on the web, the command line, and API.
QuantTrio builds and maintains Qwen3.5 27B, 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. Key capabilities include Quantized LLM, Text Generation, and Multimodal Support.
Summary written by a language model from the project’s public pages.
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