Apertus models
3 Apertus models on Hugging Face, from 8.1B to 70.6B parameters. At the precision each one is published in, the smallest needs about 18.0 GB of VRAM (Apertus-8B-2509, cheapest live fit: RTX A5000) and the largest about 158 GB (Apertus-70B-Instruct-2509, cheapest live fit: RTX A5000). The cheapest way to run Apertus-8B-2509 is $0.176/hr.
Apertus models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Apertus-8B-2509 | 8.1B | BF16 | 18.0 GB | RTX A5000 | $0.176/hr |
| Apertus-8B-Instruct-2509 | 8.1B | BF16 | 18.0 GB | RTX A5000 | $0.176/hr |
| Apertus-70B-Instruct-2509 | 70.6B | BF16 | 158 GB | RTX A5000 × 7 | $1.23/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
