Gemma 3nGoogle DeepMind
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QVACTether Data
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Related Products
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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.
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About
QVAC SDK is a developer toolkit for adding on-device AI inference to applications built with JavaScript/TypeScript or Python. It provides a common API for running supported language, vision, and speech models on mobile and desktop devices, with model discovery and downloads, inference APIs, and optional remote providers. Developers can build offline-capable AI features and, for local inference, keep prompts and processing on the device. QVAC also offers an OpenAI-compatible server and plugins that connect local models to developer tools. The SDK is intended for developers building AI-enabled applications. Its documentation covers setup, model selection, text generation, image and audio tasks, and tool calling; available features depend on the selected model and platform. QVAC SDK is free, open-source software under Apache 2.0; local inference requires no hosted QVAC account.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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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
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Audience
Software developers and product teams building AI-enabled mobile, desktop, and other applications that need local or peer-to-peer AI inference.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$0
Free and open source under Apache 2.0. Local inference has no subscription, API-key, or per-token charge.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationGoogle DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/gemma-3n/
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Company InformationTether Data
El Salvador
qvac.tether.io/products/sdk
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Hugging Face
Supported
OpenCode
Supported
Gemini
Supported
Gemini Enterprise
Supported
Gemini Enterprise Agent Platform
Supported
Gemini Nano
Supported
Gemma
Supported
Google AI Edge
Supported
Google AI Edge Gallery
Supported
Google AI Studio
Supported
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Integrations
Hugging Face
Supported
OpenCode
Supported
Gemini
Not Supported
Gemini Enterprise
Not Supported
Gemini Enterprise Agent Platform
Not Supported
Gemini Nano
Not Supported
Gemma
Not Supported
Google AI Edge
Not Supported
Google AI Edge Gallery
Not Supported
Google AI Studio
Not Supported
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