This is a quantized version of the Qwen2.5-VL-3B vision-language model optimized with FP8 dynamic quantization. It can understand and reason about images, videos, and text together. The model is provided by RedHatAI and is suitable for multimodal AI applications.
Qwen2.5 VL 3B Instruct FP8 Dynamic is a Foundation models & chat product. It focuses on processing both visual and textual inputs with a single efficient multimodal model. It is built as an open-source project for developers. Qwen2.5 VL 3B Instruct FP8 Dynamic is open source under the Apache-2.0 license. Qwen2.5 VL 3B Instruct FP8 Dynamic is available on the web, the command line, and API.
Behind Qwen2.5 VL 3B Instruct FP8 Dynamic is RedHatAI, and the product first shipped in 2019. Development happens publicly on GitHub with 3.6k stars and 165 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 14 similar tools. Key capabilities include Vision Language, Image Understanding, and Video Processing. It exposes integrations via a public API.
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