Update README.md

README.md

@@ -52,6 +52,6 @@ Nearly every base model that isn't finetuned for a specific task was trained on
 
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-The only application where I can imagine these being useful in the slightest is warm-starting very small encoder-decoder models or fitting a new scaling law that takes into account smaller models. Every model was trained on a singular GPU, either a RTX2060, RTX3060, or a T4.
+The only application where I can imagine these being useful in the slightest is warm-starting very small encoder-decoder models or fitting a new scaling law that takes into account smaller models. They also could be usable on their own when finetuned on more specific datasets. Every model was trained on a singular GPU, either a RTX2060, RTX3060, or a T4. 
 
 I'd , uh , appreciate help in evaluating all these models probably with lm harness