Model type: LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Paper or resources for more information: https://llava-vl.github.io/ Where to send questions or comments about the model: https://github.com/haotian-liu/LLaVA/issues Primary intended uses: The primary use of 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. 595K filtered image-text pairs from CC3M. 150K GPT-generated multimodal instruction-following data. A preliminary evaluation of the model quality is conducted by creating a set of 90 visual reasoning questions from 30 unique images randomly sampled from COCO val 2014 and each is associated with three types of questions: conversational, detailed description, and complex reasoning. We utilize GPT-4 to judge the model outputs. We also evaluate our model on the ScienceQA dataset. Our synergy with GPT-4 sets a new…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: rjadr
Теги: llava
Лайков: 3 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
