Qwen25 Vl 3b Base Model

Qwen2.5 VL 3B is an open-source multimodal model designed for optical character recognition (OCR) and document understanding. Built on a lightweight 3-billion parameter architecture, it integrates vision and language capabilities to process and interpret visual content from images. The model is specifically optimized to extract structured information from complex documents, such as tables and forms, converting them into machine-readable text formats.

A primary application of this model is in retrieval-augmented generation (RAG) systems. By accurately converting visual data into text, it facilitates the ingestion of scanned documents and images into knowledge bases. This capability allows downstream language models to retrieve relevant context from visual sources, enhancing the accuracy and depth of generated responses in information retrieval workflows.