LLaVA 1.5 7B (Image-to-Text)

LLaVA 1.5 7B is an open-weight vision-language model that combines a CLIP vision encoder with a Vicuna-7B language model to enable visual understanding and reasoning about images. It can describe images, answer visual questions, read text in images, and perform complex visual reasoning tasks.

The model was trained using a novel visual instruction tuning approach, where language models learn to process visual tokens alongside text. LLaVA 1.5 significantly improved over the original version with better resolution handling, improved training data, and stronger performance on visual reasoning benchmarks.

LLaVA 1.5 7B is one of the most popular open multimodal models, widely used in research and applications requiring image understanding, document analysis, and visual chat capabilities.