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inference-optimization
/
Kimi-K3-0.40B

Feature Extraction
Transformers
Safetensors
kimi_k3
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use inference-optimization/Kimi-K3-0.40B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inference-optimization/Kimi-K3-0.40B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="inference-optimization/Kimi-K3-0.40B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("inference-optimization/Kimi-K3-0.40B", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Kimi-K3-0.40B / checkpoint-1500
4.69 GB
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  • 1 contributor
History: 1 commit
kylesayrs's picture
kylesayrs
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d75c148 verified 2 days ago
  • config.json
    3.56 kB
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  • model.safetensors
    1.58 GB
    xet
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  • optimizer.pt
    3.11 GB
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  • rng_state.pth

    Detected Pickle imports (7)

    • "_codecs.encode",
    • "numpy.ndarray",
    • "numpy.dtype",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.ByteStorage",
    • "numpy._core.multiarray._reconstruct"

    How to fix it?

    14.6 kB
    xet
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  • scheduler.pt
    1.47 kB
    xet
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  • trainer_state.json
    24.4 kB
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  • training_args.bin
    5.14 kB
    xet
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