Mobile-Optimized Inference Engine

This repository contains a quantized version of the Google Gemma model, specifically formatted for on-device inference in mobile applications.

πŸ› οΈ Technical Details

  • Architecture: Gemma-2B / Gemma-3 (Quantized)
  • Format: .bin / .task
  • Target: Mobile NPU/GPU Acceleration (MediaPipe/LiteRT)

πŸ”’ 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.

πŸ“œ 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.

πŸš€ 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

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