Instructions to use frodo21/briefly-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use frodo21/briefly-models 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
briefly-models
Mirror of the LiteRT / MediaPipe .task build of Gemma 3n E2B (int4), re-hosted for
on-device download by the Briefly Android news reader.
This is an unmodified copy of the file published by Google. Nothing has been fine-tuned, re-quantised or otherwise changed. It lives here only because the app's release channel cannot serve files larger than 2 GB.
Files
| File | Size | SHA-256 |
|---|---|---|
gemma-3n-e2b-it-int4.task |
3,136,226,711 bytes | a7f544cfee68f579fabadb22aa9284faa4020a0f5358d0e15b49fdd4cefe4200 |
Source: google/gemma-3n-E2B-it-litert-preview → gemma-3n-E2B-it-int4.task
Direct download:
https://huggingface.co/frodo21/briefly-models/resolve/main/gemma-3n-e2b-it-int4.task
Intended use
Fetched at runtime by Briefly and executed locally through the MediaPipe LLM Inference API to summarise articles on the device, without sending article text to any server.
License
Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.
By downloading or using this file you agree to those terms and to the Gemma Prohibited Use Policy.
Gemma is a trademark of Google LLC. This repository is an independent mirror and is not affiliated with, sponsored by, or endorsed by Google.
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Model tree for frodo21/briefly-models
Base model
google/gemma-3n-E2B-it-litert-preview