This is a community-quantized 4-bit AWQ version of the Qwen3-VL-8B-Instruct vision-language model. It supports multimodal inputs and is optimized for lower memory usage while maintaining performance. The model includes a chat template and can be loaded via the Transformers library or used with local inference tools.
Qwen3 VL 8B Instruct is a Multimodal & vision project. It focuses on running a capable multimodal vision-language model with reduced memory requirements on local hardware. Qwen3 VL 8B Instruct is an open-source project aimed at developers. Qwen3 VL 8B Instruct is open source under the Open Source license. It ships for the web, the command line, and API.
cyankiwi builds and maintains Qwen3 VL 8B Instruct. The category is crowded — PulseGate's index counts 25 comparable projects. Key capabilities include Vision Language Model, 4-bit Quantization, and AWQ.
Summary written by a language model from the project’s public pages.
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