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:
- 4bd2ffa7bbab7a902b036f1d2e2f5f4931e2025030cd593076d9a12c134ad771
- Size of remote file:
- 16.6 GB
- SHA256:
- 4ffe399002a4982c20fe09ce28762b45e3249fd1d76f8ad61a63b31ebbaa7ebb
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