Model type: Matryoshka Multimodal Models (M3) allow using to explicitly control visual granularities (the number of visual toknes per sample) at time time. Also, the model itself serves as a metric for image/dataset complexity. M3s is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on visual conversation data. It is an auto-regressive language model, based on the transformer architecture. Model date: llava-next-vicuna-7b-m3 was trained in May 2024. Paper Paper or resources for more information: https://matryoshka-mm.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/matryoshka-mm/issues Primary intended uses: The primary use of M3 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. Matryoshka Multimodal Models…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: mucai
Теги: llava_llama
Лайков: 3 | Загрузок: 153
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
