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edornd
/
gemma-4-12B-it-FP8D

Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use edornd/gemma-4-12B-it-FP8D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use edornd/gemma-4-12B-it-FP8D with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("edornd/gemma-4-12B-it-FP8D")
    model = AutoModelForMultimodalLM.from_pretrained("edornd/gemma-4-12B-it-FP8D")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-12B-it-FP8D
13.1 GB
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  • 1 contributor
History: 4 commits
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edornd
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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
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  • model.safetensors
    13 GB
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  • processor_config.json
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  • recipe.yaml
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  • tokenizer.json
    32.2 MB
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  • tokenizer_config.json
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