Overview
Google developed and released the Gemma 3 series, featuring multiple model sizes with both pre-trained and instruction-tuned variants. These multimodal models handle both text and image inputs while generating text outputs, making them versatile for various applications. Gemma 3 models are built from the same research and technology used to create the Gemini models, offering state-of-the-art capabilities in a lightweight and accessible format.
The Gemma 3 models include four different sizes with open weights, providing excellent performance across tasks like question answering, summarization, and reasoning while maintaining efficiency for deployment in resource-constrained environments such as laptops, desktops, or custom cloud infrastructure.
Variants
Gemma 3
| No | Variant | Branch | Cortex CLI command |
|---|---|---|---|
| 1 | Gemma-3-1B | 1b | cortex run gemma3:1b |
| 2 | Gemma-3-4B | 4b | cortex run gemma3:4b |
| 3 | Gemma-3-12B | 12b | cortex run gemma3:12b |
| 4 | Gemma-3-27B | 27b | cortex run gemma3:27b |
Each branch contains a default quantized version.
Key Features
- Multimodal capabilities: Handles both text and image inputs
- Large context window: 128K tokens
- Multilingual support: Over 140 languages
- Available in multiple sizes: From 1B to 27B parameters
- Open weights: For both pre-trained and instruction-tuned variants
Use it with Jan (UI)
- Install Jan using Quickstart
- Use in Jan model Hub:
cortexso/gemma3
Use it with Cortex (CLI)
- Install Cortex using Quickstart
- Run the model with command:
cortex run gemma3
Credits
- Author: Google
- Original License: Gemma License
- Papers: Gemma 3 Technical Report