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+ ---
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+ tasks:
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+
4
+ - multimodal-dialogue
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+
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+ studios:
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+
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+ - damo/mPLUG-Owl
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+
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+ model-type:
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+
12
+ - mplug-owl2
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+
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+ domain:
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+
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+ - multi-modal
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+
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+ frameworks:
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+
20
+ - pytorch
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+
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+ backbone:
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+
24
+ - transformer
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+
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+ containers:
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+
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+ license: apache-2.0
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+
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+ language:
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+
32
+ - en
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+
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+ tags:
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+
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+ - transformer
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+ - mPLUG
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+ - Multimodal
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+ - ChatGPT
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+ - GPT
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+ - Alibaba
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+
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+ ---
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+
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+ # mPLUG-Owl2介绍
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+
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+ mPLUG-Owl2是一种面向多模态语言模型的模块化的训练范式。其能学习与语言空间相适应的视觉知识,并支持在多模态场景(支持图片、文本输入)下进行多轮对话。它涌现多图关系理解,场景文本理解和基于视觉的文档理解等能力。
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+
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+ ## 模型描述
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+
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+ mPLUG-Owl2基于mPLUG-2模块化的思想,通过多阶段分别训练模型的视觉底座与语言模型,使其视觉知识能与预训练语言模型紧密协作,达到了显著优于主流多模态语言模型的效果。
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+ ![Training paradigm and model overview](assets/mplug_owl2_radar.png)
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+ "vocab_size": 32000
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