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+ ---
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+ tags:
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+ - vision-language model
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+ - llama
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+ - video understanding
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+ ---
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+
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+
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+ # LLaMA-VID Model Card
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+ <a href='https://llama-vid.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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+ <a href='https://arxiv.org/abs/2311.17043'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
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+
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+ ## Model details
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+ LLaMA-VID empowers existing frameworks to support hour-long videos and pushes their upper limit with an extra context token.
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+
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+
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+ **Model type:**
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+ LLaMA-VID is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
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+ LLaMA-VID empowers existing frameworks to support hour-long videos and pushes their upper limit with an extra context token. We build this repo based on LLaVA.
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+
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+
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+ **Model date:**
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+ llama-vid-7b-pretrain-224 was trained on 11/2023.
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+
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+ ## License
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+ Llama 2 is licensed under the LLAMA 2 Community License,
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+ Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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+
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+ **Where to send questions or comments about the model:**
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+ https://github.com/dvlab-research/LLaMA-VID/issues
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+
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+ ## Intended use
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+ **Primary intended uses:**
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+ The primary use of LLaMA-VID is research on large multimodal models and chatbots.
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+
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+ **Primary intended users:**
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+ The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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+
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+ ## Training data
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+ This model is trained based on LLaVA-1.5 dataset, including
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+ - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.