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Jeethu
/
gemma-4-E4B-it-PARO

Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
gemma
google
paroquant
4-bit precision
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Jeethu/gemma-4-E4B-it-PARO with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("Jeethu/gemma-4-E4B-it-PARO")
    model = AutoModelForImageTextToText.from_pretrained("Jeethu/gemma-4-E4B-it-PARO")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-E4B-it-PARO
10.1 GB
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  • 1 contributor
History: 2 commits
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Jeethu
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  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
    208 Bytes
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  • model.safetensors
    10.1 GB
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  • processor_config.json
    1.69 kB
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  • tokenizer.json
    32.2 MB
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  • tokenizer_config.json
    2.1 kB
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