VaultGemma: A Differentially Private Gemma Model

Amer Sinha; Thomas Mesnard; Ryan McKenna; Daogao Liu; Christopher A. Choquette-Choo; Yangsibo Huang; Da Yu; George Kaissis; Zachary Charles; Ruibo Liu; Lynn Chua; Pritish Kamath; Pasin Manurangsi; Steve He; Chiyuan Zhang; Badih Ghazi; Borja De Balle Pigem; Prem Eruvbetine; Tris Warkentin; Armand Joulin; Ravi Kumar

arXiv · 2510.15001

VaultGemma: A Differentially Private Gemma Model

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Abstract

We introduce VaultGemma 1B, a 1 billion parameter model within the Gemma family, fully trained with differential privacy. Pretrained on the identical data mixture used for the Gemma 2 series, VaultGemma 1B represents a significant step forward in privacy-preserving large language models. We openly release this model to the community

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Amer Sinha, Thomas Mesnard, Ryan McKenna, Daogao Liu, Christopher A. Choquette-Choo, Yangsibo Huang, Da Yu, George Kaissis, Zachary Charles, Ruibo Liu, Lynn Chua, Pritish Kamath, Pasin Manurangsi, Steve He, Chiyuan Zhang, Badih Ghazi, Borja De Balle Pigem, Prem Eruvbetine, Tris Warkentin, Armand Joulin, Ravi Kumar. 2025-10-15. VaultGemma: A Differentially Private Gemma Model. https://arxiv.org/abs/2510.15001

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