Instructions to use MiCkSoftware/Gemma2-2B-IT-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use MiCkSoftware/Gemma2-2B-IT-LiteRT 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=MiCkSoftware/Gemma2-2B-IT-LiteRT \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Gemma 2 2B IT LiteRT mirror for Laria
This repository mirrors the generic LiteRT task bundle from litert-community/Gemma2-2B-IT for use in Laria experiments.
Upstream
- Original model:
litert-community/Gemma2-2B-IT - Mirrored file:
gemma2_q8_multi-prefill-seq_ekv1280.task
Notes
- This mirror is intended for on-device Android testing in Laria's experimental LiteRT backend.
- Please refer to the upstream model card and Gemma license for usage terms.
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Model tree for MiCkSoftware/Gemma2-2B-IT-LiteRT
Base model
litert-community/Gemma2-2B-IT