# Introducing Gemma 3n: The developer guide

DevFeed: [Introducing Gemma 3n: The developer guide](<https://devfeed.tech/articles/introducing-gemma-3n-the-developer-guide-6202.md>)

Original publisher: [Read original article](<https://deepmind.google/blog/introducing-gemma-3n-the-developer-guide/>)

Author: Omar Sanseviero; Ian Ballantyne

Published: 2025-10-25T17:54:47Z

Content type: release

Language: en

Sources: [Google DeepMind News](<https://devfeed.tech/sources/google-deepmind-news.md>)

Topics: [Local AI](<https://devfeed.tech/topics/local-ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [developer](<https://devfeed.tech/tags/developer.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [on-device-ai](<https://devfeed.tech/tags/on-device-ai.md>), [release](<https://devfeed.tech/tags/release.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>)

## AI overview

Gemma 3n is released as a mobile-first, multimodal model for on-device AI. The guide introduces its MatFormer architecture, pre-extracted E4B and E2B models, and tooling for fine-tuning and deployment.

## Source excerpt

Gemma 3n is designed for the developer community that helped shape Gemma.