Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • Gemini platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini platform
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Dragonfly Reviews & Ratings
    4.9 out of 5 stars 16 Ratings
    Company Website for Dragonfly
  • Healthee Reviews & Ratings
    4.6 out of 5 stars 13 Ratings
    Company Website for Healthee
  • Google AI Studio Reviews & Ratings
    4.8 out of 5 stars 42 Ratings
    Company Website for Google AI Studio
  • FrameworkLTC Reviews & Ratings
    4.4 out of 5 stars 48 Ratings
    Company Website for FrameworkLTC
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Act! Reviews & Ratings
    4.0 out of 5 stars 555 Ratings
    Company Website for Act!

What is Gemma 3n?

Meet Gemma 3n, our state-of-the-art open multimodal model engineered for exceptional performance and efficiency on devices. Emphasizing responsive and low-footprint local inference, Gemma 3n sets the stage for a new era of intelligent applications that can be deployed while on the go. It possesses the ability to interpret and react to a combination of images and text, with upcoming plans to add video and audio capabilities shortly. This allows developers to build smart, interactive functionalities that uphold user privacy and operate smoothly without relying on an internet connection. The model features a mobile-centric design that significantly reduces memory consumption. Jointly developed by Google's mobile hardware teams and industry specialists, it maintains a 4B active memory footprint while providing the option to create submodels for enhanced quality and reduced latency. Furthermore, Gemma 3n is our first open model constructed on this groundbreaking shared architecture, allowing developers to begin experimenting with this sophisticated technology today in its initial preview. As the landscape of technology continues to evolve, we foresee an array of innovative applications emerging from this powerful framework, further expanding its potential in various domains. The future looks promising as more features and enhancements are anticipated to enrich the user experience.

What is CodeGemma?

CodeGemma is an impressive collection of efficient and adaptable models that can handle a variety of coding tasks, such as middle code completion, code generation, natural language processing, mathematical reasoning, and instruction following. It includes three unique model variants: a 7B pre-trained model intended for code completion and generation using existing code snippets, a fine-tuned 7B version for converting natural language queries into code while following instructions, and a high-performing 2B pre-trained model that completes code at speeds up to twice as fast as its counterparts. Whether you are filling in lines, creating functions, or assembling complete code segments, CodeGemma is designed to assist you in any environment, whether local or utilizing Google Cloud services. With its training grounded in a vast dataset of 500 billion tokens, primarily in English and taken from web sources, mathematics, and programming languages, CodeGemma not only improves the syntactical precision of the code it generates but also guarantees its semantic accuracy, resulting in fewer errors and a more efficient debugging process. Beyond just functionality, this powerful tool consistently adapts and improves, making coding more accessible and streamlined for developers across the globe, thereby fostering a more innovative programming landscape. As the technology advances, users can expect even more enhancements in terms of speed and accuracy.

Media

Media

Integrations Supported

Google Cloud Platform
Gemini
Gemini Enterprise
Gemini Nano
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Ollama
OpenCode
PyTorch

Integrations Supported

Google Cloud Platform
Clojure
Elixir
GaiaNet
Go
Julia
Kaggle
Python
SQL
Scala
TypeScript

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United Kingdom

Company Website

deepmind.google/models/gemma/gemma-3n/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

ai.google.dev/gemma/docs/codegemma

Categories and Features

AI Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Coding Assistants

Not specified

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Popular Alternatives

Gemma 4 Reviews & Ratings

Gemma 4

Google
5.0 out of 5 stars

Popular Alternatives

Codestral Mamba Reviews & Ratings

Codestral Mamba

Mistral AI
gpt-oss-20b Reviews & Ratings

gpt-oss-20b

OpenAI
MedGemma Reviews & Ratings

MedGemma

Google DeepMind
Gemma Reviews & Ratings

Gemma

Google