Create README.md

README.md

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+---
+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)