Great idea - took a bit to figure out how to implement this.
I came up with a plausibility check based on the model's memory requirements: https://github.com/BinSquare/inferbench/blob/main/src/lib/pl...
So now on the submission page - it has a warning + an automate flag count for volunteers to double check:
```This configuration seems unlikely
Model requires ~906GB VRAM but only 32GB available (28.3x over). This likely requires significant CPU offload which would severely impact performance.
You can still submit, but your result will be flagged for review.```
Perhaps some filter could cut out submissions that don't really make sense?