Instructions to use DarrenJiaImbue/gemma-4-e4b-it-bouncer-litertlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use DarrenJiaImbue/gemma-4-e4b-it-bouncer-litertlm 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 litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=DarrenJiaImbue/gemma-4-e4b-it-bouncer-litertlm \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
chat-only single-sig export (gemma4_mixed48), no LoRA, no classifier head — for iOS Metal kTfLiteCustom bug isolation experiment
d470ecf verified - Xet hash:
- 75cbc560e51d378862fc6775082cbb9a81408fa8cd50d9d12da2be22aacd6ab1
- Size of remote file:
- 4.16 GB
- SHA256:
- 88344cce642ba78fffe9c216136b41c7227b73a922c8021f544f54ec6565a5f5
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