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.
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google/gemma-4-E2B Finetuned
google/gemma-4-E2B-it