Delta-Vector/Orion-Creative_Writing-Complexity
Preview • Updated • 515 • 4
How to use ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3", dtype="auto")EXL3 quants of Delta-Vector/Austral-32B-GLM4-Winton using exllamav3 for quantization.
| Quant(Revision) | Bits per Weight | Head Bits |
|---|---|---|
| 2.5_H6 | 2.5 | 6 |
| 3.0_H6 | 3.0 | 6 |
| 3.5_H6 | 3.5 | 6 |
| 4.0_H6 | 4.0 | 6 |
| 4.5_H6 | 4.5 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3 --revision "5.0bpw_H6" --local-dir ./
Base model
zai-org/GLM-4-32B-Base-0414