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noctuashap
/
Confucius3-Math-DFlash

Feature Extraction
Transformers
Safetensors
qwen3
speculative-decoding
dflash
draft-model
vllm
math
custom_code
Model card Files Files and versions
xet
Community

Instructions to use noctuashap/Confucius3-Math-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use noctuashap/Confucius3-Math-DFlash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="noctuashap/Confucius3-Math-DFlash", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("noctuashap/Confucius3-Math-DFlash", trust_remote_code=True)
    model = AutoModel.from_pretrained("noctuashap/Confucius3-Math-DFlash", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Confucius3-Math-DFlash
3.01 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
noctuashap's picture
noctuashap
Add Confucius3-Math DFlash D-PACE drafter
e7549f0 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    2.11 kB
    Add Confucius3-Math DFlash D-PACE drafter 1 day ago
  • config.json
    1.1 kB
    Add Confucius3-Math DFlash D-PACE drafter 1 day ago
  • dflash.py
    15.3 kB
    Add Confucius3-Math DFlash D-PACE drafter 1 day ago
  • model.safetensors
    3.01 GB
    xet
    Add Confucius3-Math DFlash D-PACE drafter 1 day ago