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features
design
support

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Write a Review

Description

Introducing Gemma 3n, our cutting-edge open multimodal model designed specifically for optimal on-device performance and efficiency. With a focus on responsive and low-footprint local inference, Gemma 3n paves the way for a new generation of intelligent applications that can be utilized on the move. It has the capability to analyze and respond to a blend of images and text, with plans to incorporate video and audio functionalities in the near future. Developers can create smart, interactive features that prioritize user privacy and function seamlessly without an internet connection. The model boasts a mobile-first architecture, significantly minimizing memory usage. Co-developed by Google's mobile hardware teams alongside industry experts, it maintains a 4B active memory footprint while also offering the flexibility to create submodels for optimizing quality and latency. Notably, Gemma 3n represents our inaugural open model built on this revolutionary shared architecture, enabling developers to start experimenting with this advanced technology today in its early preview. As technology evolves, we anticipate even more innovative applications to emerge from this robust framework.

Description

The newest version in the Llama series, Llama 3.3, represents a significant advancement in language models aimed at enhancing AI's capabilities in understanding and communication. It boasts improved contextual reasoning, superior language generation, and advanced fine-tuning features aimed at producing exceptionally accurate, human-like responses across a variety of uses. This iteration incorporates a more extensive training dataset, refined algorithms for deeper comprehension, and mitigated biases compared to earlier versions. Llama 3.3 stands out in applications including natural language understanding, creative writing, technical explanations, and multilingual interactions, making it a crucial asset for businesses, developers, and researchers alike. Additionally, its modular architecture facilitates customizable deployment in specific fields, ensuring it remains versatile and high-performing even in large-scale applications. With these enhancements, Llama 3.3 is poised to redefine the standards of AI language models.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AnythingLLM No 
Baseten No 
BlueFlame AI No 
Bolna No 
C++ No 
Duck.ai No 
Evertune No 
Featherless No 
Google AI Studio Yes 
HTML No 
Hyperbolic No 
Kiin No 
Nebius Token Factory No 
Okara No 
Python No 
Requesty No 
SQL No 
Sonar No 
Tinfoil No 
nexos.ai No 

Integrations

AnythingLLM Yes 
Baseten Yes 
BlueFlame AI Yes 
Bolna Yes 
C++ Yes 
Duck.ai Yes 
Evertune Yes 
Featherless Yes 
Google AI Studio No 
HTML Yes 
Hyperbolic Yes 
Kiin Yes 
Nebius Token Factory Yes 
Okara Yes 
Python Yes 
Requesty Yes 
SQL Yes 
Sonar Yes 
Tinfoil Yes 
nexos.ai Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Google DeepMind

Founded

2010

Country

United Kingdom

Website

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/

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