Card: just point to the full configs

README.md

@@ -21,8 +21,7 @@ position it looks up the most frequent next tokens of the longest matching n-gra
 counts held in CPU RAM, averages those tokens' rows of the model's own output head (weighted by their
 count scores), and adds the result to the token embedding.
 
-These checkpoints were also trained with other settings that are not part of COUNT itself, such as
-embedding amplification. For the full configuration of each model, see the paper's appendix, the
+For the full configuration of each model, see the paper's appendix, the
 `config.json` and `release_args.json` in each step directory, and the ladder configuration in the
 [code](https://github.com/IanMagnusson/COUNT).