Clarify that these weights should only be used for benchmarking

docs/faq.md

@@ -147,7 +147,10 @@ You can use any of the scheduler classes available in [`torch.optim.lr_scheduler
 
 **Where can I find Casanovo model weights trained on the nine-species benchmark?**
 
-You can find the Casanovo weights from 9-species benchmark training [here](https://doi.org/10.5281/zenodo.10694984) on Zenodo, each set of weights are trained and validated on 8 species using the default configurations, with the remaining species held out for testing. You can use these weights with Casanovo v4.x.x.
+You can find the Casanovo weights corresponding to the nine-species benchmark [on Zenodo](https://doi.org/10.5281/zenodo.10694984), compatible with Casanovo v4.x.x.
+These weights correspond to training and validation on eight species using the default configurations, with the remaining species held out for testing, as indicated by the file names.
+Note that these weights are only intended for evaluation purposes on this specific benchmark dataset.
+For general-purpose usage of Casanovo, use its [default weights](https://casanovo.readthedocs.io/en/latest/getting_started.html#download-model-weights) instead, as these will give significantly improved performance.
 
 **How can I generate a precision–coverage curve?**