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+ ---
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+ license: apache-2.0
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+ tags:
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+ - video LLM
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+ datasets:
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+ - OpenGVLab/VideoChat2-IT
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+ ---
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+
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+
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+ # PLLaVA Model Card
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+ ## Model details
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+ **Model type:**
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+ PLLaVA-34B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: liuhaotian/llava-v1.6-34b
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+
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+ **Model date:**
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+ PLLaVA-34B was trained in April 2024.
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+
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+ **Paper or resources for more information:**
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+ - github repo: https://github.com/magic-research/PLLaVA
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+ - project page: https://pllava.github.io/
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+ - paper link: https://arxiv.org/abs/2404.16994
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+
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+ ## License
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+ NousResearch/Nous-Hermes-2-Yi-34B license.
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+
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+ **Where to send questions or comments about the model:**
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+ https://github.com/magic-research/PLLaVA/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 PLLaVA 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 dataset
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+ Video-Instruct-Tuning data of OpenGVLab/VideoChat2-IT
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+ ## Evaluation dataset
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+ A collection of 6 benchmarks, including 5 Video QA benchmarks and 1 benchmarks specifically proposed for Video-LMMs.