Instructions to use latentdivergence/domain-expansion-gemma-4-e2b-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use latentdivergence/domain-expansion-gemma-4-e2b-mobile 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=latentdivergence/domain-expansion-gemma-4-e2b-mobile \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Domain Expansion Gemma 4 E2B โ Android GPU
A verified mirror of the LiteRT-LM Gemma 4 E2B GPU artifact used by Domain Expansion XR.
- File: gemma-4-E2B-it-gpu.litertlm
- Size: 2,008,432,640 bytes
- Runtime: LiteRT-LM for Android, GPU backend
- Intended hardware: Android arm64 devices with a compatible GPU
- Inference: fully on-device after the one-time download
Provenance
This artifact is mirrored byte-for-byte from LiteRT Community Gemma 4 E2B. It is provided under Apache-2.0.
Use
Download gemma-4-E2B-it-gpu.litertlm to app-private storage. Do not package it in an APK. Initialize it lazily with LiteRT-LM using Backend.GPU() and release the engine when the companion is idle.
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