Mobile-Optimized Inference Engine
This repository contains a quantized version of the Google Gemma model, specifically formatted for on-device inference in mobile applications.
π οΈ Technical Details
- Architecture: Gemma-2B / Gemma-3 (Quantized)
- Format: .bin / .task
- Target: Mobile NPU/GPU Acceleration (MediaPipe/LiteRT)
π Privacy & Data Security
This asset is intended for Local-First applications.
- All data processing occurs on the local device hardware.
- No data is transmitted to external servers during inference.
- Ideal for high-security environments requiring strict data-in-transit protocols.
π License & Terms
This model is distributed under the Gemma Terms of Use. By using this asset, you acknowledge and agree to the Google Prohibited Use Policy.
π Usage
This engine is designed to assist with text-based tasks including summarization, professional formatting, and logic auditing. It is optimized for efficiency on devices with constrained RAM and battery life.
Disclaimer: This is a documentation and logic assistant. It is not intended to provide professional, legal, or medical advice. The end-user remains the sole authority for any output generated.
Version: 1.2.0