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RedHatAI
/
gemma-3n-E2B-it-quantized.w4a16

Transformers
Safetensors
vllm
vision
audio
int4
Model card Files Files and versions
xet
Community
1

Instructions to use RedHatAI/gemma-3n-E2B-it-quantized.w4a16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RedHatAI/gemma-3n-E2B-it-quantized.w4a16 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("RedHatAI/gemma-3n-E2B-it-quantized.w4a16", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-3n-E2B-it-quantized.w4a16
8.21 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
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nm-research
Update README.md
249ba2c verified 10 months ago
  • .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-00001-of-00003.safetensors
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  • model-00002-of-00003.safetensors
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  • model-00003-of-00003.safetensors
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  • model.safetensors.index.json
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  • preprocessor_config.json
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  • processor_config.json
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  • recipe.yaml
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  • special_tokens_map.json
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  • tokenizer.json
    33.4 MB
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  • tokenizer.model
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  • tokenizer_config.json
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