OLMo models
2 OLMo models on Hugging Face, from 1.2B to 6.9B parameters. At the precision each one is published in, the smallest needs about 5.3 GB of VRAM (OLMo-1B-hf, cheapest live fit: V100) and the largest about 30.8 GB (OLMo-7B-hf, cheapest live fit: V100). The cheapest way to run OLMo-1B-hf is $0.088/hr.
OLMo models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| OLMo-1B-hf | 1.2B | F32 | 5.3 GB | V100 | $0.088/hr |
| OLMo-7B-hf | 6.9B | F32 | 30.8 GB | V100 | $0.187/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.
