Qwen2.5-VL is a flagship model of the Qwen vision-language series, showcasing advancements in visual recognition, object localization, document parsing, and long-video comprehension. It introduces dynamic resolution processing and absolute time encoding, allowing it to handle complex inputs and maintain native resolution. Available in three sizes, it suits various applications from edge AI to high-performance computing, matching state-of-the-art models in document and diagram understanding while preserving strong linguistic capabilities.
Qwen2.5-VL, the latest vision-language model from Qwen, showcases enhanced image recognition, agentic behavior, video comprehension, document parsing, and more. It outperforms previous models in various benchmarks and tasks, offering improved efficiency and performance.
Qwen2.5-VL-3B-Instruct is the latest addition to the Qwen family of vision-language models by Hugging Face, featuring enhanced capabilities in understanding visual content and generating structured outputs. It is designed to directly interact with tools and use computer and phone functions as a visual agent. Qwen2.5-VL can comprehend videos up to an hour long and localize objects within images using bounding boxes or points. It is available in three sizes: 3, 7, and 72 billion parameters.
