This model runs on Android via MediaPipe LiteRT 0.10.14 on the CPU backend. Used in EdSparkAI — an offline bilingual classroom assistant that explains textbook pages in 12 Indian languages.

kotlin

val cfg = EngineConfig(
    modelPath = "/path/to/model.litertlm",
    backend = Backend.CPU(),
    maxNumTokens = 2048,
)
val engine = Engine(cfg)
engine.initialize()

Device requirements

Android 8.0+ (API 26+)
4 GB RAM minimum
3 GB free storage

License

Gemma is a trademark of Google LLC. Use is subject to the Gemma Terms of Use.

DummyTesty/gemmaspark-model

Gemma 4 E2B — LiteRT-LM (EdSparkAI)

File

Usage

Device requirements

License

DummyTesty/
gemmaspark-model