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RedHatAI
/
gemma-4-12B-it-NVFP4

Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
fp4
vllm
llm-compressor
compressed-tensors
8-bit precision
Model card Files Files and versions
xet
Community
2

Instructions to use RedHatAI/gemma-4-12B-it-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RedHatAI/gemma-4-12B-it-NVFP4 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("RedHatAI/gemma-4-12B-it-NVFP4")
    model = AutoModelForMultimodalLM.from_pretrained("RedHatAI/gemma-4-12B-it-NVFP4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-12B-it-NVFP4
10.3 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
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robgreenberg3
Update README.md
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • processor_config.json
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  • recipe.yaml
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  • tokenizer.json
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  • tokenizer_config.json
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