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:
- 50c10462e732ae6bc0310872d51c42885132197c0a4427f261a16b24d4109595
- Size of remote file:
- 16.6 GB
- SHA256:
- 0ee82aed1bbb5fbacbaccd7c6c20e8e65ea37ca0482d12cca6a73377abf35019
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