ArtusDev/cerebras_GLM-4.5-Air-REAP-82B-A12B-EXL3
EXL3 quants of cerebras/GLM-4.5-Air-REAP-82B-A12B using exllamav3 for quantization.
Quants
| Quant | BPW | Head Bits | Size (GB) |
|---|---|---|---|
| 2.5_H6 | 2.5 | 6 | 27.14 |
| 2.99_H6 (optimized) | 2.99 | 6 | 31.94 |
| 3.0_H6 | 3.0 | 6 | 32.19 |
| 3.46_H6 (optimized) | 3.46 | 6 | 36.64 |
| 3.5_H6 | 3.5 | 6 | 37.22 |
| 3.92_H6 (optimized) | 3.92 | 6 | 41.30 |
| 4.0_H6 | 4.0 | 6 | 42.28 |
| 4.25_H6 | 4.25 | 6 | 44.79 |
| 5.0_H6 | 5.0 | 6 | 52.36 |
| 6.0_H6 | 6.0 | 6 | 62.44 |
| 8.0_H8 | 8.0 | 8 | 82.77 |
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/cerebras_GLM-4.5-Air-REAP-82B-A12B-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
Model tree for ArtusDev/cerebras_GLM-4.5-Air-REAP-82B-A12B-EXL3
Base model
zai-org/GLM-4.5-Air
Finetuned
cerebras/GLM-4.5-Air-REAP-82B-A12B