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Spinf
/
gemma-4-12b-fp8

Text Classification
Transformers
Safetensors
gemma4_unified
image-text-to-text
spinf-serve
decision-model
batch-invariant
fp8
compressed-tensors
gemma4
Model card Files Files and versions
xet
Community

Instructions to use Spinf/gemma-4-12b-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Spinf/gemma-4-12b-fp8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Spinf/gemma-4-12b-fp8")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Spinf/gemma-4-12b-fp8")
    model = AutoModelForMultimodalLM.from_pretrained("Spinf/gemma-4-12b-fp8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-12b-fp8
13.1 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
giarec's picture
giarec
Model card: links point at docs/, the GPU list matches configuration.md
0af2511 verified 17 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    4.99 kB
    Model card: links point at docs/, the GPU list matches configuration.md 17 days ago
  • calibration.json
    38.3 kB
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  • config.json
    5.28 kB
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  • generation_config.json
    233 Bytes
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  • model-00001-of-00003.safetensors
    4.77 GB
    xet
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  • model-00002-of-00003.safetensors
    4.82 GB
    xet
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  • model-00003-of-00003.safetensors
    3.43 GB
    xet
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  • model.safetensors.index.json
    133 kB
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  • processor_config.json
    1.38 kB
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  • spinf_quantize.json
    1.03 kB
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer_config.json
    888 Bytes
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