muse-bench models
1 muse-bench model on Hugging Face, from 6.7B to 6.7B parameters. The cheapest way to run MUSE-news_target is $0.187/hr.
muse-bench models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| MUSE-news_target | 6.7B | F32 | 30.1 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.
