Any-to-Any
Transformers
Safetensors
kimi_k3
feature-extraction
kimi-k3
compressed-tensors
conversational
abliterated
uncensored
custom_code
8-bit precision
Instructions to use SHSLab/Kimi-K3-Abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHSLab/Kimi-K3-Abliterated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SHSLab/Kimi-K3-Abliterated", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10e449544f7aa2453171456e7d74c7b63b85733a793ab76aaacaa5d2f90dc9d8
- Size of remote file:
- 17 GB
- SHA256:
- 8fd26354232e24ddf1504b4f51511345073ca71db809ca2923a06bb997c93942
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