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
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
DownloadManageror 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:
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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