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Grunzig
/
gemma-4-12B-it-qat-oQ4e-fp16-mtp

MLX
Safetensors
gemma4_unified
oq
quantized
omlx
fp16
apple-silicon
m1
m2
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use Grunzig/gemma-4-12B-it-qat-oQ4e-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Grunzig/gemma-4-12B-it-qat-oQ4e-fp16-mtp with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir gemma-4-12B-it-qat-oQ4e-fp16-mtp Grunzig/gemma-4-12B-it-qat-oQ4e-fp16-mtp
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
gemma-4-12B-it-qat-oQ4e-fp16-mtp
8.03 GB
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  • 1 contributor
History: 2 commits
Grunzig's picture
Grunzig
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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
    260 Bytes
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  • model-00001-of-00002.safetensors
    5.03 GB
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  • model-00002-of-00002.safetensors
    2.12 GB
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  • model-mtp.safetensors
    846 MB
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  • model.safetensors.index.json
    134 kB
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  • oq_imatrix_report.json
    20.4 kB
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  • processor_config.json
    1.38 kB
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  • tokenizer.json
    32.2 MB
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  • tokenizer_config.json
    3.09 kB
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