Instructions to use multimodel/gemma-4-E2B-it-litert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use multimodel/gemma-4-E2B-it-litert-lm 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=multimodel/gemma-4-E2B-it-litert-lm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Gemma 4 E2B (LiteRT-LM mirror)
This repository is a redistribution mirror of
litert-community/gemma-4-E2B-it-litert-lm,
hosted to provide a stable, controlled URL for downstream apps that ship
on-device inference.
The model weights, tokenizer and chat template are distributed unchanged from the upstream repository. No retraining, fine-tuning or quantisation has been performed in this mirror.
Files
gemma-4-E2B-it.litertlmโ the LiteRT-LM packaged model file (โ2.6 GB).
The SHA-256 of the .litertlm file matches the upstream object:
ab7838cdfc8f77e54d8ca45eadceb20452d9f01e4bfade03e5dce27911b27e42
Apps that download this file should verify the hash before loading.
License
Released under the same license declared by the upstream repository:
Apache License 2.0 โ see LICENSE.
The underlying Gemma model weights are originally produced by Google and were
released under the Gemma Terms of Use and the Gemma Prohibited Use
Policy. Users of this mirror are bound by those policies in addition to the
Apache 2.0 license. See the NOTICE file for full attribution and
links.
Attribution
- Original model authors: Google (Gemma team)
- LiteRT-LM packaging: the
litert-communityorganisation on Hugging Face - Mirror maintainer: this repository owner
This mirror exists for redistribution stability only; all credit for the underlying research and packaging belongs to Google and the LiteRT-LM community. Please cite the upstream sources in any work that uses this model.
- Downloads last month
- 39