Instructions to use onnaru/jp10min-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use onnaru/jp10min-model 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=onnaru/jp10min-model \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| base_model: | |
| - google/gemma-4-E2B-it | |
| tags: | |
| - litert-lm | |
| - litertlm | |
| - on-device | |
| - mirror | |
| # gemma-4-E2B-it-litert-lm (mirror) | |
| An **unmodified copy** of | |
| [`litert-community/gemma-4-E2B-it-litert-lm`](https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm), | |
| kept as a download fallback for the offline Japanese-learning app | |
| **「10분 일본어」** (`com.metae.jp10min`). | |
| The app runs this model entirely on-device — the only time it touches the | |
| network is this one-time download. If the upstream repository is ever moved or | |
| renamed, new users would be unable to obtain the model at all; this mirror | |
| exists so that path stays open. | |
| ## File | |
| | | | | |
| |---|---| | |
| | File | `gemma-4-E2B-it.litertlm` | | |
| | Size | 2,588,147,712 bytes | | |
| | SHA-256 | `181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c` | | |
| | Upstream | https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm | | |
| | Original model | https://huggingface.co/google/gemma-4-E2B-it | | |
| **No modifications have been made.** The file is byte-for-byte identical to the | |
| upstream release; verify with the SHA-256 above. | |
| ## License | |
| Licensed under the Apache License, Version 2.0 — see [LICENSE](./LICENSE). | |
| Copyright Google DeepMind. | |
| ⚠️ Separately from Apache 2.0, the **Gemma Prohibited Use Policy** also applies: | |
| https://ai.google.dev/gemma/prohibited_use_policy | |