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cm00cm
/
Kimi-K2.7-Code-DFlash

Feature Extraction
Transformers
Safetensors
qwen3
speculative-decoding
dflash
eagle
draft-model
kimi-k2
specforge
custom_code
Model card Files Files and versions
xet
Community

Instructions to use cm00cm/Kimi-K2.7-Code-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cm00cm/Kimi-K2.7-Code-DFlash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True)
    model = AutoModel.from_pretrained("cm00cm/Kimi-K2.7-Code-DFlash", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Kimi-K2.7-Code-DFlash
6.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
cm00cm's picture
cm00cm
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  • .gitattributes
    1.52 kB
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  • README.md
    952 Bytes
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  • config.json
    1.39 kB
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  • dflash.py
    16 kB
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  • model.safetensors
    6.96 GB
    xet
    Super-squash branch 'main' using huggingface_hub 16 minutes ago