QCRI models
1 QCRI model on Hugging Face, from 8.8B to 8.8B parameters. The cheapest way to run Fanar-1-9B-Instruct is $0.176/hr.
QCRI models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Fanar-1-9B-Instruct | 8.8B | BF16 | 19.6 GB | RTX A5000 | $0.176/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.
