gemmaspark-model / README.md
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metadata
base_model: litert-community/gemma-4-E2B-it-litert-lm
language:
  - en
  - hi
  - ta
  - te
  - bn
  - mr
  - gu
  - kn
  - ml
  - or
  - pa
  - ur
license: gemma
tags:
  - gemma
  - litert
  - android
  - on-device
  - offline
  - education

Gemma 4 E2B — LiteRT-LM (EdSparkAI)

INT4-quantized .litertlm model file used by EdSparkAI, a fully offline Android AI tutor.

Based on litert-community/gemma-4-E2B-it-litert-lm.

File

Filename model.litertlm
Format LiteRT-LM (MediaPipe)
Quantization INT4
Size ~2.4 GB

Usage

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.

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.