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DeepMind and Singapore: chat scams blocked with on-device Gemma

On-device & edge
Source:Google DeepMind
Google DeepMind and GovTech Singapore use lightweight on-device Gemma models to intercept scams in private chats, without sending data to the cloud.
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Gemma 3

Models

Google's open model family in 1B, 4B, 12B and 27B sizes. 128K-token context, 140+ supported languages and multimedia input (text and images). An excellent choice for RAG and long documents on consumer hardware.

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Gemma 3 4B

Models

La taglia compatta della famiglia Gemma 3 di Google: 4,32B di parametri, contesto di 128K token e supporto nativo a 140+ lingue (incluso l'italiano), con input testo+immagini. Licenza Gemma (uso commerciale con condizioni). In Q4_K_M occupa circa 2,9GB: gira su GPU da 8GB e su CPU moderne.

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Gemma 4 12B

Models

La taglia 12B della famiglia Gemma 4 di Google: 11,95B dense, contesto 256K e multimodalità integrata senza encoder separati (testo+immagini+audio). Licenza Apache 2.0. In Q4_K_M occupa circa 7,4GB: il punto di equilibrio tra qualità e requisiti hardware per l'uso locale su 8-16GB.

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Gemma 4 26B A4B

Models

Il modello MoE della famiglia Gemma 4: 25,2B di parametri totali con 3,8B attivi per token. Contesto 256K, input testo+immagini, oltre 140 lingue, Apache 2.0. In Q4_K_M pesa circa 16,8GB: la scelta per chi ha 24GB di VRAM e vuole qualità da modello grande con velocità da modello piccolo.

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