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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Introducing Gemma, your innovative AI companion designed to spark creativity and streamline your workflow. With Gemma, you can brainstorm fresh ideas, enhance current designs, and handle repetitive tasks, allowing you to concentrate on what truly inspires you. Whether you need assistance crafting compelling headlines, engaging body text, or memorable brand names, Gemma is here to help. Additionally, Gemma can generate highly realistic images that can be easily resized and modified to suit your needs. Available around the clock, Gemma’s user-friendly interface opens the door to a multitude of AI models and integrates seamlessly with the creative tools you already use. With a focus on learning from your input and preferences, Gemma offers unique suggestions and valuable insights that can elevate your projects. Installing Gemma on your desktop is a breeze, enabling you to access this powerful tool across various files and applications effortlessly. Say goodbye to the intimidating blank page, as Gemma’s cutting-edge algorithms empower your artistic pursuits and transform your visions into reality. You’ll find that collaborating with Gemma is like having a creative partner by your side, ready to explore new horizons together.

Description

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C No 
C++ No 
CSS No 
Ceros Yes 
Clojure No 
Database Mart No 
Elixir No 
F# No 
Gemma No 
LLaMA-Factory Yes 
LM-Kit.NET No 
LlamaCoder No 
PyTorch No 
SQL No 
Scala No 
TensorFlow No 
TypeScript No 
Vertesia Yes 
Visual Basic No 
oMLX Yes 

Integrations

C Yes 
C++ Yes 
CSS Yes 
Ceros No 
Clojure Yes 
Database Mart Yes 
Elixir Yes 
F# Yes 
Gemma Yes 
LLaMA-Factory No 
LM-Kit.NET Yes 
LlamaCoder Yes 
PyTorch Yes 
SQL Yes 
Scala Yes 
TensorFlow Yes 
TypeScript Yes 
Vertesia No 
Visual Basic Yes 
oMLX No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ceros

Founded

2012

Country

United States

Website

www.ceros.com/gemma/

Vendor Details

Company Name

Google

Country

United States

Website

ai.google.dev/gemma

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