# Japanese Visual Question Answering

A Japanese visual language model trained based on the NVILA-Lite architecture, supporting image-text interaction in both Japanese and English

Sarashina2-Vision-14B is a large Japanese visual language model developed by SB Intuitions, combining Sarashina2-13B with Qwen2-VL-7B's image encoder, achieving excellent performance in multiple benchmarks.

Sarashina2-Vision-8B is a large Japanese vision-language model trained by SB Intuitions, based on the Sarashina2-7B and Qwen2-VL-7B image encoders, achieving excellent performance in multiple benchmarks.

A large-scale vision-language model developed by Japan's National Institute of Informatics, supporting Japanese and English with strong image understanding and text generation capabilities.

ConvLLaVA-JP is a Japanese vision-language model that supports high-resolution input and can engage in conversations about input images.

llava-calm2-siglip is an experimental vision-language model capable of answering questions about images in Japanese and English.

A visual-language model capable of conducting dialogues in Japanese about input images, created using the Chat Vector method by combining weights from multiple models

LLaVA-JP is a multimodal vision-language model that supports Japanese, capable of understanding and generating descriptions and dialogues about input images.

EvoVLM-JP-v1-7B is an experimental general-purpose Japanese vision-language model created using evolutionary model fusion methods

A vision-language model capable of conversing about input images, supporting Japanese interaction

This is a vision-language model capable of engaging in dialogue about input images, supporting Japanese communication.

LLaVA-JP is a Japanese visual language model capable of engaging in dialogue about input images, fine-tuned from llm-jp-1.3b-v1.0 using the LLaVA method.

A vision-language model capable of conducting dialogues based on input images, supporting Japanese interaction