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
File size: 1,616 Bytes
2472c3b c727879 0366a5f 2472c3b 0366a5f c727879 0366a5f c727879 0366a5f c727879 0366a5f c727879 0366a5f c727879 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ---
license: apache-2.0
base_model:
- google/gemma-4-E4B-it
- google/gemma-4-E2B-it
tags:
- litert-lm
- on-device
- gemma4
---
# Gemma 4 (LiteRT-LM): Memoyad mirror
These are unmodified copies of Gemma 4 LiteRT-LM model files. They are hosted here so the
[Memoyad](https://memoyad.com) app always has a stable download source. The app picks one model
per device. Phones that can run the larger E4B model use it; slower phones use the lighter E2B.
| File | Source | Size (bytes) | SHA-256 |
|---|---|---|---|
| `gemma-4-E4B-it.litertlm` | [litert-community/gemma-4-E4B-it-litert-lm](https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm) @ `2eee7ac325f20eb8c9ac1d0e972f7c84663062da` | 3659530240 | `0b2a8980ce155fd97673d8e820b4d29d9c7d99b8fa6806f425d969b145bd52e0` |
| `gemma-4-E2B-it.litertlm` | [litert-community/gemma-4-E2B-it-litert-lm](https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm) @ `b3ca0d2f076785a8f4b2219ddbd2bdb99954eae1` | 2588147712 | `181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c` |
No weights, graphs or tokenizer data were changed. The app pins each download to a commit of this
repository and checks the SHA-256 above. Adding files here never changes what an installed app
downloads.
## License
Licensed under the Apache License, Version 2.0; see [`LICENSE`](https://huggingface.co/tibaf/gemma/blob/main/LICENSE).
The files are redistributed without modification.
Gemma 4 was developed by Google DeepMind. The LiteRT community (Google AI Edge) converted it to
LiteRT-LM. This repository is not affiliated with or endorsed by Google.
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