Gemma
Google's lightweight open-source AI models
Overview
Gemma is a family of lightweight, state-of-the-art open-source models from Google DeepMind, built from the same research and technology used to create the Gemini models. Available in 2B and 7B parameter sizes (and Gemma 2 in 9B and 27B), Gemma models are designed for responsible AI development and can run efficiently on laptops, desktops, and cloud infrastructure.
Pricing Details
Free and open source under permissive license. Cloud hosting costs apply if using Google Cloud or other providers.
Latest Model
Gemma 2 27B, Gemma 2 9B
How to Use Gemma
Visit ai.google.dev/gemma to explore available models
Download models from Hugging Face or Kaggle
Set up a Python environment with transformers or keras
Load the model and tokenizer in your application
Use Google AI Studio for quick experimentation
Key Features
Use Cases
The Good & The Bad
Pros
- Fully open source and free to use
- Excellent performance for model size
- Runs on consumer hardware
Cons
- Smaller context window than proprietary models
- Less capable than full Gemini models
- Requires technical knowledge to deploy
At a Glance
Best For
Developers and researchers who want a capable open-source model for local or edge deployment
Free Trial
Completely free and open source
Mobile App
Web only, deployable on mobile via edge frameworks
API Access
Available through Google AI Studio, Vertex AI, and self-hosted deployments
Team Features
Open source — teams can deploy and manage independently
Last Updated
2026-02
Security & Privacy
- Safety-aligned training
- Responsible AI toolkit included
- Transparent model cards
Supported Languages
Available Platforms
Journey
Gemma launched
Gemma was released to the public, marking its official debut in the AI landscape.
Latest version
Gemma 2 27B, Gemma 2 9B
Last reviewed
Our team verified Gemma's pricing, features, and capabilities to ensure accuracy.
Gemma in Action
Start Using Gemma Today
Gemma is completely free. Get started in seconds.
Frequently Asked Questions
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