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InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM.
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It is trained using web-scale, noisy image-text pairs. The data are all publicly available and comprise multilingual content, including LAION-en, LAION-multi, LAION-COCO, COYO, Wukong, CC12M, CC3M, and SBU.
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It is _**the largest open-source vision/vision-language foundation model (14B)**_ to date, achieving _**32 state-of-the-art**_ performances on a wide range of tasks such as visual perception, cross-modal retrieval, multimodal dialogue, etc.
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InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM.
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It is _**the largest open-source vision/vision-language foundation model (14B)**_ to date, achieving _**32 state-of-the-art**_ performances on a wide range of tasks such as visual perception, cross-modal retrieval, multimodal dialogue, etc.
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