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XiaomiMiMo
/
MiMo-7B-MTPs

Feature Extraction
Transformers
Safetensors
mimo
custom_code
Model card Files Files and versions
xet
Community

Instructions to use XiaomiMiMo/MiMo-7B-MTPs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use XiaomiMiMo/MiMo-7B-MTPs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="XiaomiMiMo/MiMo-7B-MTPs", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("XiaomiMiMo/MiMo-7B-MTPs", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MiMo-7B-MTPs
855 MB
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  • 1 contributor
History: 3 commits
bwshen-mi's picture
bwshen-mi
Update README.md
791db75 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.06 kB
    Update README.md 7 months ago
  • config.json
    1 kB
    Upload folder using huggingface_hub 7 months ago
  • configuration_mimo.py
    376 Bytes
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  • generation_config.json
    138 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    843 MB
    xet
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  • modeling_mimo.py
    3.39 kB
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    7.23 kB
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  • vocab.json
    2.78 MB
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