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slippedJim
/
Kimi-K3-Draft

Transformers
Safetensors
k3_dspark
speculative-decoding
dspark
kimi-k3
draft-model
long-context
Model card Files Files and versions
xet
Community

Instructions to use slippedJim/Kimi-K3-Draft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slippedJim/Kimi-K3-Draft with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("slippedJim/Kimi-K3-Draft", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • benchmarks
    benchmarks: raw per-set results for both drafts 18 days ago
  • .gitattributes
    50 Bytes
    gen-5: 1 epoch from scratch on 5.01M regenerated samples; four-set mean 3.51 (94.6% of reference, same machine) about 1 month ago
  • README.md
    8.72 kB
    card: 13-benchmark comparison, 106.7% of the reference draft 18 days ago
  • config.json
    1.25 kB
    gen-3 DSpark draft, 1 epoch (step 3358) about 1 month ago
  • model-00001-of-00002.safetensors
    4.78 GB
    xet
    weights: 13-benchmark mean 106.7% of the reference draft measured on the same stack 18 days ago
  • model-00002-of-00002.safetensors
    2.35 GB
    xet
    gen-3 DSpark draft, 1 epoch (step 3358) about 1 month ago
  • model.safetensors.index.json
    5.35 kB
    gen-3 DSpark draft, 1 epoch (step 3358) about 1 month ago