Gemma 2

Gemma 2

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About

EmbeddingGemma 2 is an open, lightweight multimodal embedding model designed to map text, code, images, video, and audio into a shared embedding space for search, retrieval, classification, routing, and RAG applications. Built on the Gemma 4 architecture and released under the Apache 2.0 license, it has 740 million parameters and is optimized for on-device inference. Its modular design can use as little as 270M parameters for text-only workloads, with optional vision and audio encoders for full multimodal support. Matryoshka Representation Learning lets developers reduce output vectors from 768 dimensions to 512, 256, or 128, lowering storage and memory requirements for local vector databases. The model supports an 8K-token context window and can process up to 5.5 minutes of audio, 29 images, 58 video frames, or interleaved combinations on local hardware.

About

A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers and AI teams wanting to build private, efficient, on-device multimodal search, retrieval, RAG, and semantic indexing systems

Audience

Developers and teams looking for a solution offering LLMs to improve their AI development operations

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/

Company Information

Google
United States
ai.google.dev/gemma

Alternatives

Alternatives

Gemma 3

Gemma 3

Google
Gemma

Gemma

Google
txtai

txtai

NeuML
Gemma 4

Gemma 4

Google

Categories

Embedding Models Supported

Categories

AI Models Supported

Integrations

AiAssistWorks Not Supported
C Not Supported
Clojure Not Supported
Database Mart Not Supported
Elixir Not Supported
Gemini Enterprise Agent Platform Not Supported
Google Cloud Platform Not Supported
Hugging Face Not Supported
JavaScript Not Supported
Kotlin Not Supported
LM-Kit.NET Not Supported
LangChain Not Supported
Molmo Not Supported
NVIDIA DRIVE Not Supported
Pipeshift Not Supported
SQL Not Supported
TensorFlow Not Supported
TypeScript Not Supported
VESSL AI Not Supported
Visual Basic Not Supported

Integrations

AiAssistWorks Supported
C Supported
Clojure Supported
Database Mart Supported
Elixir Supported
Gemini Enterprise Agent Platform Supported
Google Cloud Platform Supported
Hugging Face Supported
JavaScript Supported
Kotlin Supported
LM-Kit.NET Supported
LangChain Supported
Molmo Supported
NVIDIA DRIVE Supported
Pipeshift Supported
SQL Supported
TensorFlow Supported
TypeScript Supported
VESSL AI Supported
Visual Basic Supported
Claim EmbeddingGemma 2 and update features and information
Claim EmbeddingGemma 2 and update features and information
Claim Gemma 2 and update features and information
Claim Gemma 2 and update features and information