Model type: ViP-LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on both image level instruction data and region-level instruction data annotated with visual prompts. It is an auto-regressive language model, based on the transformer architecture. Paper or resources for more information: https://vip-llava.github.io/ Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. Where to send questions or comments about the model: https://github.com/mu-cai/ViP-LLaVA/issues Primary intended uses: The primary use of ViP-LLaVA is research on large multimodal models and chatbots. Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. — 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP. — 665K image level instruction data from LLaVA-1.5. — 520K image-text pairs marked with visual prompts. — 13K region-level instruction data generated from GPT-4V. ViP-LLaVA achieves state-of-the-art performance in 4 academic region-level benchmarks and our newly proposed RegionBench.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: mucai
Теги: llava
Лайков: 3 | Загрузок: 16
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
