# Multilingual Visual Question Answering

EuroVLM-9B-Preview is a multimodal vision-language model based on the long-context version of EuroLLM-9B, supporting multiple languages and visual tasks. It is currently in the preview version.

EraX-VL-7B-V1.5 is a powerful multimodal model specializing in Optical Character Recognition (OCR) and Visual Question Answering (VQA), excelling in multilingual environments with particular expertise in Vietnamese.

Trillion-LLaVA-7B is a vision-language model (VLM) capable of understanding images, developed based on the Trillion-7B-preview foundation model.

InternVL3-8B-6bit is a vision-language model converted to MLX format, supporting multilingual image-text-to-text tasks.

A multilingual visual retrieval model based on Qwen2.5-VL-3B-Instruct and ColBERT strategy, supporting dynamic input image resolution and multilingual document retrieval.

Llama 3.2-Vision is a multimodal large language model developed by Meta, supporting image and text inputs, optimized for visual recognition, image reasoning, and description tasks.

Centurio is an open-source multilingual large vision-language model supporting 100 languages, capable of processing image-to-text and text-to-text tasks.

PaliGemma 2 is a vision-language model based on Gemma 2, supporting image and text inputs to generate text outputs, suitable for various vision-language tasks.

mBLIP is a multilingual vision-language model based on the BLIP-2 architecture, supporting image caption generation and visual question answering tasks in 96 languages.

mBLIP is a multilingual vision-language model based on BLIP-2 architecture, supporting image caption generation and visual question answering tasks in 96 languages.