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What is Molmo?

Molmo is an advanced suite of multimodal AI models developed by the Allen Institute for AI (Ai2) that aims to bridge the gap between open-source and proprietary technologies, ensuring competitive performance on various academic assessments and evaluations by human users. Unlike many existing multimodal models that rely on synthetic datasets created from proprietary sources, Molmo is solely trained on publicly accessible data, fostering both transparency and reproducibility within the realm of AI research. A key innovation in Molmo's creation is the inclusion of PixMo, a distinctive dataset that features detailed image captions curated by human annotators through speech-based descriptions, complemented by 2D pointing data that allows models to communicate using both natural language and non-verbal cues. This ability enables Molmo to interact with its environment in a more refined way, such as by indicating particular objects within images, which expands its applicability across various domains, including robotics, augmented reality, and interactive user interfaces. Moreover, the strides made by Molmo are poised to redefine standards for future research and development in multimodal AI, opening up new avenues for exploration and application. As the field evolves, the influence of Molmo's innovative approach could inspire similar projects aimed at enhancing human-AI interaction.

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.

Media

Media

Integrations Supported

BLACKBOX AI
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemma
Gemma 2
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
Hugging Face
JAX
Keras
Ollama
OpenAI
OpenCode
Phi-3
PyTorch
Qwen2

Integrations Supported

BLACKBOX AI
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Gemma
Gemma 2
Google AI Edge
Google AI Edge Gallery
Google AI Studio
Google Cloud Platform
Hugging Face
JAX
Keras
Ollama
OpenAI
OpenCode
Phi-3
PyTorch
Qwen2

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/blog/molmo

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United Kingdom

Company Website

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

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