Gemini-Nano

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   Copyright 2026 Aiden Wade (Haster1137)

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README

Repository Info

• Repository Name: Haster1137/Gemini-Nano
• Purpose: Archival backup and research dataset for the local Chrome-distributed Gemini Nano weights.

Description

This repository contains a direct, unaltered local file backup of the Gemini Nano model weights (weights.bin) originally pulled from a Google Chrome installation path before a server-side cleanup.

The original files were quietly deployed by the browser vendor inside user local files (AppData\Local\Google\Chrome\User Data\OptimizationGuide\OnDeviceModel\Weights). They are stored in an unmapped, proprietary TensorFlow Lite / MediaPipe binary compilation format lacking standard .safetensors headers or open-source neural network configurations.

Goal

This project is shared entirely "AS IS" for academic data analysis, reverse-engineering, structural inspection, and format recovery. The explicit objective is providing researchers and the open-source community with raw files required to develop layout conversion tools (such as mapping the underlying neural weights to unified GGUF or standard formats) to ensure the model can be audited or deployed natively in local, open-source AI infrastructure.