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google
/
gemma-4-E4B-it-qat-mobile-ct

Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
compressed-tensors
Model card Files Files and versions
xet
Community
3

Instructions to use google/gemma-4-E4B-it-qat-mobile-ct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/gemma-4-E4B-it-qat-mobile-ct with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("google/gemma-4-E4B-it-qat-mobile-ct")
    model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-E4B-it-qat-mobile-ct")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add response_template to tokenizer_config.json

#3 opened about 20 hours ago by
Rocketknight1

Raise per-image vision soft-token budget from 280 to 1120

#2 opened 4 days ago by
lucianommartins

Update to canonical Gemma 4 chat template

#1 opened 4 days ago by
lucianommartins
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