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google
/
gemma-4-E2B-it-qat-mobile-transformers

Any-to-Any
Transformers
Safetensors
gemma4
8-bit precision
gemma
Model card Files Files and versions
xet
Community
6

Instructions to use google/gemma-4-E2B-it-qat-mobile-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/gemma-4-E2B-it-qat-mobile-transformers with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("google/gemma-4-E2B-it-qat-mobile-transformers", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

How do we use MTP for speculative decoding?

#6 opened 20 minutes ago by
pythiccoder

Add response_template to tokenizer_config.json

#3 opened 5 days ago by
Rocketknight1

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

#2 opened 7 days ago by
lucianommartins
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