--- 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 using exllamav3 for quantization.
Quant | BPW | 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 |
You can download quants by targeting specific size using the Hugging Face CLI.
pip install -U "huggingface_hub[cli]"
2. Download a specific quant:
huggingface-cli download ArtusDev/swiss-ai_Apertus-70B-Instruct-2509-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.