Instructions to use tibaf/gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use tibaf/gemma 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 # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=tibaf/gemma \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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license: apache-2.0
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license: apache-2.0
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base_model: google/gemma-4-E4B-it
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tags:
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- litert-lm
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- on-device
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- gemma4
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# Gemma 4 E4B-it (LiteRT-LM) — Memoyad mirror
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An unmodified copy of `gemma-4-E4B-it.litertlm` from
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[litert-community/gemma-4-E4B-it-litert-lm](https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm)
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(commit `2eee7ac325f20eb8c9ac1d0e972f7c84663062da`), hosted so the [Memoyad](https://memoyad.com) app
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has a stable download source.
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| File | Size (bytes) | SHA-256 |
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|---|---|---|
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| `gemma-4-E4B-it.litertlm` | 3659530240 | `0b2a8980ce155fd97673d8e820b4d29d9c7d99b8fa6806f425d969b145bd52e0` |
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## License
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Licensed under the Apache License, Version 2.0; see [`LICENSE`](LICENSE). The file is redistributed
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without modification.
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Gemma 4 was developed by Google DeepMind. LiteRT-LM conversion by the LiteRT community (Google AI Edge).
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This repository is not affiliated with or endorsed by Google.
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