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cookietimeh
/
gemma-4-E4B-it-heretic-mlx-8Bit

Any-to-Any
Transformers
Safetensors
MLX
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
ara
mlx-my-repo
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit")
    model = AutoModelForMultimodalLM.from_pretrained("cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit")
  • MLX

    How to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir gemma-4-E4B-it-heretic-mlx-8Bit cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
gemma-4-E4B-it-heretic-mlx-8Bit
8.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
cookietimeh's picture
cookietimeh
Upload folder using huggingface_hub
4b8c822 verified about 2 months ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
    16.3 kB
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  • config.json
    4.97 kB
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  • generation_config.json
    208 Bytes
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  • model-00001-of-00002.safetensors
    4.96 GB
    xet
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  • model-00002-of-00002.safetensors
    3.02 GB
    xet
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  • model.safetensors.index.json
    151 kB
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer_config.json
    2.74 kB
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