---
pipeline_tag: text-generation
tags:
- cortexp.cpp
- featured
---
## 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](https://huggingface.co/cortexso/gemma3/tree/1b)   | 1b     | `cortex run gemma3:1b`        |
| 2  | [Gemma-3-4B](https://huggingface.co/cortexso/gemma3/tree/4b)   | 4b     | `cortex run gemma3:4b`        |
| 3  | [Gemma-3-12B](https://huggingface.co/cortexso/gemma3/tree/12b) | 12b    | `cortex run gemma3:12b`       |
| 4  | [Gemma-3-27B](https://huggingface.co/cortexso/gemma3/tree/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)
1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
   ```bash
   cortexso/gemma3
   ```

## Use it with Cortex (CLI)
1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
   ```bash
   cortex run gemma3
   ```

## Credits
- **Author:** Google
- **Original License:** [Gemma License](https://ai.google.dev/gemma/terms)
- **Papers:** [Gemma 3 Technical Report](https://storage.googleapis.com/deepmind-media/gemma/Gemma3Report.pdf)