Instructions to use lucyknada/crestf411_MN-Slush-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucyknada/crestf411_MN-Slush-exl2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lucyknada/crestf411_MN-Slush-exl2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
4 bit
#1
by flflow - opened
Model looks interesting. No 4 bit version in plans?
didn't think it'd be necessary, sure I'll queue it up later
Mistral models are great and 4 bit only one solution for low vram gpus.
3, 4 and 5bpw uploaded, here's 4bpw: https://huggingface.co/lucyknada/crestf411_MN-Slush-exl2/tree/4.0bpw?not-for-all-audiences=true
lucyknada changed discussion status to closed