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HuanjinYao/DenseConnector-v1.5-8B
DenseConnector-v1.5-8B is a image-to-text model from HuanjinYao. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as llama3.
Model type: DenseConnector 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 archit…
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From the Hugging Face model README
Model type: DenseConnector 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.
Model date: DenseConnector-v1.5-8B was trained in 05/2024.
Paper or resources for more information: https://github.com/HJYao00/DenseConnector
Paper on Hugging Face: arxiv.org/abs/2405.13800
Training datase:t This model is trained on LLaVA-1.5 dataset.
Large Language Model: Llama-3-8B-Instruct
Llama 3 is licensed under the LLAMA 3 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Where to send questions or comments about the model: https://github.com/HJYao00/DenseConnector/issues
Primary intended uses: The primary use of DenseConnector 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.