Instructions to use jqueryjs/gemma-4-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use jqueryjs/gemma-4-E2B with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=jqueryjs/gemma-4-E2B \ --prompt="Write me a poem"
- LiteRT
How to use jqueryjs/gemma-4-E2B with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,593 Bytes
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license: gemma
library_name: litert-lm
tags:
- android
- edge-ai
- on-device
- litert
- gemma
---
# Gemma 4 E2B IT (.litertlm) - Android Application Mirror
This repository hosts an unmodified copy of the pre-compiled **Gemma 4 E2B IT** model in the `.litertlm` format.
## Purpose
This repository serves as a dedicated, stable mirror for an Android application backend. Hosting a dedicated copy ensures:
* **Dependency Stability:** The app's download functionality will not break if upstream repositories are altered or removed.
* **Direct Asset Delivery:** Provides a clean, direct URL for the Android `DownloadManager` or HTTP client to stream the binary onto the user's device storage.
## Original Model Attribution
This is a duplicate of the official Gemma 4 model optimized for on-device deployment via Google's LiteRT (formerly TensorFlow Lite) infrastructure.
* **Developer:** Google
* **Model Architecture:** Gemma 4
* **Format:** `.litertlm` (Optimized binary bundle including weights, tokenizer, and runtime parameters)
## Direct Download URL for Android Apps
To download this model directly within an Android application, target the following `resolve` URL structure:
```text
https://huggingface.co
```
## Terms of Use & Licensing
By downloading or using this model, you agree to the original **Google Gemma Terms of Use**.
This model is subject to the Google Gemma License Agreement. Users are responsible for ensuring compliance with Google's acceptable use policies concerning on-device deployment and application distribution.
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