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
Add Gemma 4 E2B model files (mirror of litert-community releases) with license notice
Browse files- .gitattributes +2 -0
- NOTICE.txt +8 -0
- README.md +30 -0
- gemma-4-E2B-it-web.task +3 -0
- gemma-4-E2B-it.litertlm +3 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it-web.task filter=lfs diff=lfs merge=lfs -text
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gemma-4-E2B-it.litertlm filter=lfs diff=lfs merge=lfs -text
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NOTICE.txt
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Gemma is provided under and subject to the Gemma Terms of Use found at
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https://ai.google.dev/gemma/terms
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The model files in this repository are unmodified copies of the releases
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published by Google in the litert-community organization on Hugging Face
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(https://huggingface.co/litert-community). Use of the models is subject to
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the Gemma Prohibited Use Policy
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(https://ai.google.dev/gemma/prohibited_use_policy).
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README.md
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---
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license: gemma
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tags:
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- litert
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- litert-lm
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- mediapipe
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- gemma
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---
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# Skyle AI models
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Public, ungated mirror of the Gemma 4 model files used by the eyeV apps
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(Skyle Mosaics web + mobile, Skyle X) for on-device sentence suggestions.
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The apps download these files anonymously at runtime — no token required.
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| File | Size | Used by |
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|---|---|---|
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| `gemma-4-E2B-it.litertlm` | 2 588 147 712 B (~2.6 GB) | iOS / Android / desktop (LiteRT-LM) |
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| `gemma-4-E2B-it-web.task` | 2 003 697 664 B (~1.87 GiB) | Web (MediaPipe, WebGPU) |
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## License notice
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Gemma is provided under and subject to the [Gemma Terms of Use](https://ai.google.dev/gemma/terms).
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The model files in this repository are unmodified copies of the releases
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published by Google in the [litert-community](https://huggingface.co/litert-community)
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organization on Hugging Face (source repo:
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[litert-community/gemma-4-E2B-it-litert-lm](https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm)).
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Use of the models is subject to the
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[Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy).
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gemma-4-E2B-it-web.task
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version https://git-lfs.github.com/spec/v1
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oid sha256:2cbff161177a4d51c9d04360016185976f504517ba5758cd10c1564e5421c5a5
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size 2003697664
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gemma-4-E2B-it.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c
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size 2588147712
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