# Multilingual Visual Embedding

ColNomic Embed Multimodal 7B is a state-of-the-art multi-vector multimodal embedding model, excelling in visual document retrieval tasks with support for multilingual and unified text-image encoding.

A multilingual visual retrieval model based on Qwen2.5-VL-3B-Instruct and ColBERT strategy, supporting dynamic input image resolution and generating ColBERT-style multi-vector text and image representations.

A multilingual visual retrieval model based on Qwen2.5-VL-7B-Instruct using the ColBERT strategy, ranked first in the Vidore benchmark