Gemma 3n

Gemma 3n

Google DeepMind
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About

Gemma 3n is our state-of-the-art open multimodal model, engineered for on-device performance and efficiency. Made for responsive, low-footprint local inference, Gemma 3n empowers a new wave of intelligent, on-the-go applications. It analyzes and responds to combined images and text, with video and audio coming soon. Build intelligent, interactive features that put user privacy first and work reliably offline. Mobile-first architecture, with a significantly reduced memory footprint. Co-designed by Google's mobile hardware teams and industry leaders. 4B active memory footprint with the ability to create submodels for quality-latency tradeoffs. Gemma 3n is our first open model built on this groundbreaking, shared architecture, allowing developers to begin experimenting with this technology today in an early preview.

About

Locally AI is an on-device AI application that allows users to run powerful language models directly on their iPhone, iPad, or Mac without relying on cloud infrastructure or an internet connection. Built on Apple’s MLX framework, it delivers fast, efficient performance while minimizing power usage, enabling a seamless experience for chatting, creating, learning, and exploring AI capabilities across devices. It supports multiple open models such as Llama, Gemma, Qwen, and DeepSeek, allowing users to switch between them and tailor outputs to different tasks. Everything runs entirely offline, meaning no login is required, and no data is collected or transmitted, ensuring complete privacy and control over personal information. Users can interact with AI through natural conversations, analyze documents or images, and generate text in a unified interface designed for simplicity and responsiveness.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Mobile developers and edge AI engineers needing a solution to build efficient, multimodal applications that run privately and responsively on phones, tablets, and laptops

Audience

Privacy-conscious mobile users and developers who want to run and experiment with AI models locally on their devices without relying on the cloud

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/gemma-3n/

Company Information

Locally AI
United States
locallyai.app/

Alternatives

Gemma 4

Gemma 4

Google

Alternatives

gpt-oss-20b

gpt-oss-20b

OpenAI
Gemma

Gemma

Google
Gemma 2

Gemma 2

Google

Categories

Categories

Integrations

Gemma
Hugging Face
Cogito
DeepSeek
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemma 4
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
IBM Granite
Keras
Ollama
OpenCode
PyTorch
Qwen
SmolLM2

Integrations

Gemma
Hugging Face
Cogito
DeepSeek
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemma 4
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
IBM Granite
Keras
Ollama
OpenCode
PyTorch
Qwen
SmolLM2
Claim Gemma 3n and update features and information
Claim Gemma 3n and update features and information
Claim Locally AI and update features and information
Claim Locally AI and update features and information