metadata
base_model: Vortex5/MS3.2-24B-Fiery-Lynx
base_model_relation: quantized
quantized_by: ArtusDev
tags:
- mergekit
- merge
- roleplay
- exl3
ArtusDev/Vortex5_MS3.2-24B-Fiery-Lynx-EXL3
EXL3 quants of Vortex5/MS3.2-24B-Fiery-Lynx using exllamav3 for quantization.
Quants
| Quant | BPW | Head Bits | Size (GB) |
|---|---|---|---|
| 2.5_H6 | 2.5 | 6 | 8.82 |
| 3.0_H6 | 3.0 | 6 | 10.21 |
| 3.5_H6 | 3.5 | 6 | 11.60 |
| 4.0_H6 | 4.0 | 6 | 12.99 |
| 4.5_H6 | 4.5 | 6 | 14.37 |
| 5.0_H6 | 5.0 | 6 | 15.77 |
| 6.0_H6 | 6.0 | 6 | 18.55 |
| 8.0_H8 | 8.0 | 8 | 24.27 |
How to Download and Use Quants
You can download quants by targeting specific size using the Hugging Face CLI.
Click for download commands
1. Install huggingface-cli:
pip install -U "huggingface_hub[cli]"
2. Download a specific quant:
huggingface-cli download ArtusDev/Vortex5_MS3.2-24B-Fiery-Lynx-EXL3 --revision "5.0bpw_H6" --local-dir ./
EXL3 quants can be run with any inference client that supports EXL3, such as TabbyAPI. Refer to documentation for set up instructions.
Acknowledgements
Made possible with cloud compute from lium.io