--- 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](https://huggingface.co/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](https://github.com/Destroyer1543/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](https://ai.google.dev/gemma/terms).