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--- |
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license: apache-2.0 |
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--- |
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# 🤖 Gemma TFLite Models for Android Demos |
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This repository hosts quantized TensorFlow Lite (`.tflite`) versions of Google's Gemma models, specifically for use in Android sample applications, hackathons, and educational projects. |
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The goal is to provide a frictionless, anonymous download path for on-device integration without requiring app users to log in or developers to embed secret API keys. |
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## 🤔 Why This Repository Exists |
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The original Gemma models are created by Google and are officially hosted on platforms like [Kaggle](https://www.kaggle.com/models/google/gemma-3n) and the [official Google Hugging Face account](https://huggingface.co/google). |
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These official repositories are often **"gated,"** meaning they require a user to be logged in and to have explicitly accepted the license terms before a download can start. This is a necessary compliance step for Google to ensure users agree to their Responsible AI terms. |
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However, this authentication requirement prevents direct, anonymous downloads from within a mobile application and would create a poor user experience (e.g., asking an app user to log in to a developer service). |
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This repository acts as a public, non-gated mirror. The models are redistributed here under the permissions granted by their **Apache 2.0 License**. This allows mobile demo apps to fetch the model file via a direct URL without any user-side authentication, while still respecting the original license terms. |
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## 📱 Intended Use |
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The models here are intended for developers who need to quickly integrate a Gemma model into an Android application for demonstration or prototyping purposes. |
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They can be downloaded directly within an app using Android's `DownloadManager` or a networking library like OkHttp, providing a seamless "first-run" experience for the end-user. |
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## 📦 Models Included |
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* `gemma-3n-e2b-it-int4.task` |
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* `gemma-3n-e4b-it-int4.task` |
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* *(More models may be added)* |
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## 📜 License and Attribution |
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All models in this repository are the property of Google and are governed by the **Apache 2.0 License** and the **Gemma Terms of Use**. |
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**Official Gemma Terms of Use:** [https://ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms) |
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**⚠️ IMPORTANT:** If you use these models in your application, you **must include proper attribution to Google** and provide a copy of or link to the license in your app, as required by the license terms. |
