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
Dual-signature export v3: aligned chat+classifier decomposition pipelines so cross-program constant dedup works (3.9 GB, matches single-sig). 4 signatures: prefill_128_chat / decode_chat (no LoRA, no classifier) + prefill_128_classifier / decode_classifier (full).
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model.litertlm
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