Qwen AI Releases Qwen2.5-VL: A Powerful Vision-Language Model for Seamless Computer Interaction
Qwen AI has introduced Qwen2.5-VL, a new vision-language model designed to handle computer-based tasks with minimal setup. Building on its predecessor, Qwen2-VL, this iteration offers improved visual understanding and reasoning capabilities. Qwen2.5-VL can recognize a broad spectrum of objects, from everyday items like flowers and birds to more complex visual elements such as text, charts, icons, and layouts. Additionally, it functions as an intelligent visual assistant, capable of interpreting and interacting with software tools on computers and phones without extensive customization.
From a technical perspective, Qwen2.5-VL incorporates several advancements. It employs a Vision Transformer (ViT) architecture refined with SwiGLU and RMSNorm, aligning its structure with the Qwen2.5 language model. The model supports dynamic resolution and adaptive frame rate training, enhancing its ability to process videos efficiently. By leveraging dynamic frame sampling, it can understand temporal sequences and motion, improving its ability to identify key moments in video content. These enhancements make its vision encoding more efficient, optimizing both training and inference speeds......
Read the full article: https://www.marktechpost.com/2025/01/28/qwen-ai-releases-qwen2-5-vl-a-powerful-vision-language-model-for-seamless-computer-interaction/
Models on Hugging Face: https://huggingface.co/collections/Qwen/qwen25-vl-6795ffac22b334a837c0f9a5
Technical Details: https://qwenlm.github.io/blog/qwen2.5-vl/
Try it here: https://chat.qwenlm.ai/