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.
In the Foundation models & chat space, Qwen3.5 27B takes a focused approach. It focuses on running large language models efficiently on consumer or enterprise hardware using quantized weights. Qwen3.5 27B is an open-source project aimed at developers and researchers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
QuantTrio builds and maintains Qwen3.5 27B, 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 Quantized LLM, Text Generation, and Multimodal Support.
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