---
license: gemma
tags:
- tflite
- gemma
- mobile
- flutter
- edge-ai
- quantized
model_type: gemma
inference: false
---

# Gemma 2B TFLite Model for Mobile

This repository contains a TensorFlow Lite version of the Gemma 2B Instruct model, optimized for mobile deployment.

## Model Information

- **Base Model**: Gemma 2B Instruct
- **Format**: TensorFlow Lite
- **Quantization**: INT4 (GPU optimized)
- **Model Size**: 1.1 GB
- **Framework**: TensorFlow Lite

## Files

- `gemma-2b-it-gpu-int4.tflite` - The quantized TFLite model
- `tokenizer.model` - SentencePiece tokenizer

## Usage

### Download in Flutter App

```dart
const modelUrl = 'https://huggingface.co/mayur1496/gemma-2b-tflite/resolve/main/gemma-2b-it-gpu-int4.tflite';
const tokenizerUrl = 'https://huggingface.co/mayur1496/gemma-2b-tflite/resolve/main/tokenizer.model';

// Use dio or http package to download
```

### Load Model

```dart
import 'package:tflite_flutter/tflite_flutter.dart';

final interpreter = await Interpreter.fromAsset('gemma-2b-it-gpu-int4.tflite');
```

## Requirements

- **RAM**: 4GB+ recommended
- **Storage**: 1.5GB free space
- **Platform**: Android (API 21+) / iOS (12.0+)

## License

This model is released under the Gemma license. See the [Gemma License](https://ai.google.dev/gemma/terms) for details.

## Citation

```bibtex
@article{gemma_2024,
  title={Gemma: Open Models Based on Gemini Technology},
  author={Gemma Team},
  year={2024}
}
```