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README.md

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----
-license: gemma
----
+---
+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}
+}
+```