metadata
base_model: swiss-ai/Apertus-70B-Instruct-2509
base_model_relation: quantized
quantized_by: ArtusDev
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
tags:
- multilingual
- compliant
- swiss-ai
- apertus
- exl3
EXL3 Quants of swiss-ai/Apertus-70B-Instruct-2509
EXL3 quants of swiss-ai/Apertus-70B-Instruct-2509 using exllamav3 for quantization.
Quants
| 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 |
| 4.25_H6 | 4.25 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
Downloading quants with huggingface-cli
Click to view download instructions
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/swiss-ai_Apertus-70B-Instruct-2509-EXL3 --revision "5.0bpw_H6" --local-dir ./