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nightmedia
/
gemma-4-12B-TNG-V1-q8-hi-mlx

Any-to-Any
Transformers
Safetensors
MLX
gemma4_unified
image-text-to-text
nightmedia
gemma4
gemma
google
startrek
coding
finetune
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx")
    model = AutoModelForMultimodalLM.from_pretrained("nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx", device_map="auto")
  • MLX

    How to use nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download nightmedia/gemma-4-12B-TNG-V1-q8-hi-mlx --local-dir gemma-4-12B-TNG-V1-q8-hi-mlx
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
gemma-4-12B-TNG-V1-q8-hi-mlx
13.5 GB
Ctrl+K
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  • 1 contributor
History: 14 commits
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nightmedia
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  • model.safetensors.index.json
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  • processor_config.json
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  • tokenizer.json
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