Gemma 3n

Gemma 3n

Google DeepMind
MedGemma

MedGemma

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

MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma 4B is available in both pre-trained (suffix: -pt) and instruction-tuned (suffix -it) versions. The instruction-tuned version is a better starting point for most applications.

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

Healthcare AI developers wanting a solution offering fine-tunable models for medical text and image comprehension tasks

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

No information available.
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

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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

Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/medgemma/

Alternatives

Gemma

Gemma

Google

Alternatives

CodeGemma

CodeGemma

Google
Gemma 2

Gemma 2

Google
PaliGemma 2

PaliGemma 2

Google
Gemma 3

Gemma 3

Google
Gemma

Gemma

Ceros
PaliGemma 2

PaliGemma 2

Google
Gemma

Gemma

Google
MedGemma

MedGemma

Google DeepMind
Gemma 3n

Gemma 3n

Google DeepMind

Categories

Categories

Integrations

Hugging Face
Vertex AI
Dr7.ai
Gemini
Gemini Enterprise
Gemini Nano
Gemma
Gemma 2
Gemma 3
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
JAX
Keras
Ollama
OpenCode
PyTorch

Integrations

Hugging Face
Vertex AI
Dr7.ai
Gemini
Gemini Enterprise
Gemini Nano
Gemma
Gemma 2
Gemma 3
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
JAX
Keras
Ollama
OpenCode
PyTorch
Claim Gemma 3n and update features and information
Claim Gemma 3n and update features and information
Claim MedGemma and update features and information
Claim MedGemma and update features and information