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BinxNet
/
gemma-4-E4B-it-heretic

Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use BinxNet/gemma-4-E4B-it-heretic with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("BinxNet/gemma-4-E4B-it-heretic")
    model = AutoModelForMultimodalLM.from_pretrained("BinxNet/gemma-4-E4B-it-heretic")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-E4B-it-heretic / reproduce
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  • 1 contributor
History: 6 commits
BinxNet's picture
BinxNet
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  • README.md
    4.14 kB
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  • SHA256SUMS
    396 Bytes
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  • config.toml
    2.04 kB
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  • google--gemma-4-E4B-it.jsonl
    5.66 MB
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  • reproduce.json
    9.55 kB
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  • requirements.txt
    1.96 kB
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