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DarrenJiaImbue
/
gemma-4-e4b-it-bouncer-litertlm

LiteRT-LM
LiteRT
English
on-device
gemma
gemma-4
ai-text-detection
bouncer
Model card Files Files and versions
xet
Community

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
gemma-4-e4b-it-bouncer-litertlm
4.24 GB
Ctrl+K
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  • 1 contributor
History: 10 commits
DarrenJiaImbue's picture
DarrenJiaImbue
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).
aa91a6c verified 8 days ago
  • .gitattributes
    1.62 kB
    Upload tokenizer.json with huggingface_hub 12 days ago
  • README.md
    1.92 kB
    Upload README.md with huggingface_hub 12 days ago
  • lora_adapter.tflite
    18.2 MB
    xet
    QAT-trained LoRA (gemma4_mixed48 fake-quant in the loop) 9 days ago
  • model.litertlm
    4.19 GB
    xet
    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). 8 days ago
  • tokenizer.json
    32.2 MB
    xet
    Upload tokenizer.json with huggingface_hub 12 days ago
  • tokenizer_config.json
    2.74 kB
    Upload tokenizer_config.json with huggingface_hub 12 days ago