Introducing Gemma Scope 2
Helping the AI safety community deepen understanding of complex language model behavior
A collection of lightweight, state-of-the-art open models built from the same technology that powers our Gemini models*
A family of lightweight models with multimodal understanding and unparalleled multilingual capabilities for more intelligent applications.
Our powerful and efficient open model designed to run locally on phones, tablets, and laptops.
Our most advanced open models help developers create AI applications that run wherever users need them — from workstations to laptops and even phones.
Helping the AI safety community deepen understanding of complex language model behavior
Bringing bespoke function calling to the edge
The next generation of encoder-decoder models
The world's most capable differentially private LLM
The best-in-class open model for on-device embeddings
The compact model for hyper-efficient AI
A new collection of encoder-decoder Gemma models
Our most capable open models for health AI development
Multimodal capabilities and wide language support in sizes from 270M to 27B parameters
Mobile-first architecture optimized for low-latency audio and visual understanding
Optimized for medical text and image comprehension
Trained from the ground up with differential privacy
Generates high-quality text embeddings efficiently
Helps scientists study how dolphins communicate
Designed to improve the efficiency of therapeutic development
Safety classifiers to detect harmful content in text inputs and outputs
Intelligent code completion and generation across programming languages
Encoder-decoder architecture to boost performance for deep contextual comprehension
Trained at multiple resolutions to provide broad knowledge for transfer via fine-tuning
Integrates retrieval techniques to ground responses in real-world data
Novel recurrent architecture for faster processing of long sequences
From cutting-edge techniques to personalized models, discover how developers are using Gemma open models.
Lentera runs an offline AI microserver for educators and students
Crane AI Labs improves Swahili language understanding in a lightweight model
Marine biologists and AI engineers partnered to develop DolphinGemma
Official documentation, quickstarts, and guides to build applications with Gemma
Ask questions on the developer forum or the Google Developers Discord #gemma channel
Large Language Models (LLMs), such as Gemma, may sometimes provide inaccurate or offensive content that doesn’t represent Google’s views.
Use discretion before relying on, publishing, or otherwise using content provided by LLMs.
Don’t rely on LLMs for medical, legal, financial, or other professional advice. Any content regarding those topics is provided for informational purposes only and is not a substitute for advice from a qualified professional.