Instructions to use eye-v/skyle-ai-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use eye-v/skyle-ai-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
- LiteRT-LM
How to use eye-v/skyle-ai-models 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=eye-v/skyle-ai-models \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Skyle AI models
Public, ungated mirror of the Gemma 4 model files used by the eyeV apps (Skyle Mosaics web + mobile, Skyle X) for on-device sentence suggestions. The apps download these files anonymously at runtime — no token required.
| File | Size | Used by |
|---|---|---|
gemma-4-E2B-it.litertlm |
2 588 147 712 B (~2.6 GB) | iOS / Android / desktop (LiteRT-LM) |
gemma-4-E2B-it-web.litertlm |
2 008 432 640 B (~1.87 GiB) | Web (LiteRT-LM, WebGPU) |
License notice
Gemma is provided under and subject to the Gemma Terms of Use.
The model files in this repository are unmodified copies of the releases published by Google in the litert-community organization on Hugging Face (source repo: litert-community/gemma-4-E2B-it-litert-lm). Use of the models is subject to the Gemma Prohibited Use Policy.
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