Instructions to use nmrenyi/gemma-3n-E4B-it-litert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use nmrenyi/gemma-3n-E4B-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=nmrenyi/gemma-3n-E4B-it-litert-lm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
gemma-3n-E4B-it-litert-lm (MAM-AI redistribution)
This repository hosts an unmodified, byte-identical copy of the
gemma-3n-E4B-it-int4.litertlm artifact from
google/gemma-3n-E4B-it-litert-lm.
It is re-published here, ungated, solely so the offline on-device MAM-AI medical assistant app (for nurse-midwives in Zanzibar) can fetch the model on first launch without per-user license gating. The downloading app verifies the file against a pinned SHA-256 before use.
- File:
gemma-3n-E4B-it-int4.litertlm - Size: 4,919,541,760 bytes
- SHA-256:
2e67a6cd51dfe0f793431e6bd4ed8d029c88e10f52ca0469ad38445e3cd3c1f4
License
Use of this model is governed by the Gemma Terms of Use. By downloading or using the file you agree to those terms. All rights and restrictions of the original Gemma 3n release apply unchanged; this copy adds nothing and is provided for availability only.
- Downloads last month
- 47
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for nmrenyi/gemma-3n-E4B-it-litert-lm
Base model
google/gemma-3n-E4B-it-litert-lm