Instructions to use rishabhf/bouncer-gemma-4-e4b-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use rishabhf/bouncer-gemma-4-e4b-litert 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 rishabhf/bouncer-gemma-4-e4b-litert 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=rishabhf/bouncer-gemma-4-e4b-litert \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
bouncer-gemma-4-e4b-litert
An unmodified mirror of the gemma-4-E4B-it-web.litertlm file from litert-community/gemma-4-E4B-it-litert-lm (at commit 65ce5ba), re-hosted for the availability / resilience of the Bouncer browser extension. Only the web (.litertlm) variant Bouncer loads is mirrored; the file is byte-for-byte identical to the source.
Provenance & license
| Base model | google/gemma-4-E4B-it — © Google DeepMind |
| LiteRT-LM conversion | litert-community/gemma-4-E4B-it-litert-lm |
| License | Apache-2.0 — the Gemma 4 license is Apache-2.0; see LICENSE |
Licensed under the Apache License 2.0. This mirror retains all upstream attribution, makes no modification to the weights, and does not imply endorsement by Google or the LiteRT team.
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