PaliGemma: A versatile 3B VLM for transfer
PaliGemma is an open Vision-Language Model (VLM) that is based on the
SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to
be a versatile and broadly knowledgeable base model that is effective to
transfer. It achieves strong performance on a wide variety of open-world tasks.
We evaluate PaliGemma on almost 40 diverse tasks including standard VLM
benchmarks, but also more specialized tasks such as remote-sensing and
segmentation.
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Lucas Beyer
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2024-07-11T08:43:35.767Z
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Lucas Beyer
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Andreas Steiner
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André Susano Pinto
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Alexander Kolesnikov
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Xiao Wang
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Daniel Salz
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2025-09-26T12:30:24.393Z
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Daniel Salz
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Maxim Neumann
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2024-07-11T08:46:01.880Z
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Maxim Neumann
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Ibrahim Alabdulmohsin
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2024-07-11T08:46:09.539Z
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Ibrahim Alabdulmohsin
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Michael Tschannen
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2024-07-11T08:46:36.803Z
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Michael Tschannen
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Emanuele Bugliarello
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2024-07-11T08:46:45.351Z
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Emanuele Bugliarello
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Thomas Unterthiner
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Daniel Keysers
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2024-07-11T08:47:05.769Z
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Daniel Keysers
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Skanda Koppula
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2024-07-11T08:47:12.071Z
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Skanda Koppula
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Fangyu Liu
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2024-07-11T08:47:30.850Z
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Fangyu Liu
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Adam Grycner
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Alexey Gritsenko
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2024-07-11T08:47:44.594Z
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Alexey Gritsenko
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AlexeyG
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Neil Houlsby
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2024-07-11T08:47:51.045Z
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Neil Houlsby
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Manoj Kumar
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Keran Rong
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2025-02-13T08:27:11.967Z
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Keran 
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Julian Eisenschlos
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2024-07-11T08:48:23.777Z
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Julian Eisenschlos
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Rishabh Kabra
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Matko Bošnjak
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Xi Chen
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Matthias Minderer
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2024-07-11T08:48:54.125Z
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Matthias Minderer
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Paul Voigtlaender
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Ioana Bica
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Ioana Bica
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Joan Puigcerver
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Joan Puigcerver
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Olivier Henaff
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Olivier Henaff
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Xi Xiong
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Xi Xiong
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Radu Soricut
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Jeremiah Harmsen
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Jeremiah Harmsen
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Xiaohua Zhai
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2024-07-11T08:50:23.887Z
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Xiaohua Zhai
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PaliGemma: A versatile 3B VLM for transfer
PaliGemma is an open Vision-Language Model (VLM) that is based on the
SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to
be a versatile and broadly knowledgeable base model that is effective to
transfer. It achieves strong performance on a wide variety of open-world tasks.
We evaluate PaliGemma on almost 40 diverse tasks including standard VLM
benchmarks, but also more specialized tasks such as remote-sensing and
segmentation.
PaliGemma, a versatile Vision-Language Model based on SigLIP-So400m and Gemma-2B, demonstrates strong performance across numerous open-world tasks, including specialized areas like remote sensing and segmentation.
Vision-Language Model SigLIP-So400m Gemma-2B