Instructions to use rajeevkr23/secure-notes-ai-gemma3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use rajeevkr23/secure-notes-ai-gemma3-1b 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 3 1B IT β mirror for on-device Android use
This is an unmodified mirror of gemma3-1b-it-int4.task from
litert-community/Gemma3-1B-IT,
which itself provides a LiteRT/MediaPipe-ready build of Google's
google/Gemma-3-1B-IT.
This mirror exists solely to provide an ungated, directly downloadable URL for the Private Notes Android app, which downloads this file on first launch to run Gemma fully on-device for its AI note features (summarize, rewrite, explain, generate ideas). No note content is ever uploaded anywhere β inference runs entirely on the user's device.
License
Gemma is provided by Google LLC and is subject to the Gemma Terms of Use. This repository redistributes the unmodified model file under those terms. This repository and the app that uses it are not affiliated with, endorsed by, or sponsored by Google LLC.
File
gemma3-1b-it-int4.taskβ dynamic int4 QAT quantization, ~529MB, optimized for on-device CPU/GPU inference via MediaPipe's LLM Inference API / LiteRT.
Original source
- Model card: https://huggingface.co/litert-community/Gemma3-1B-IT
- Base model: https://huggingface.co/google/Gemma-3-1B-IT
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