Update README.md

README.md

@@ -47,7 +47,7 @@ To maximise efficiency while training, LS3 is a not a dense model, but rather a
 | Tokens seen:         | ~5.7B  |
 | GPU time (5060ti):   | 8h     |
 
-*Note that it was trained with a 16k vocab, so 2.62M of the 5.52M active parameters are embedding.
+\*Note that it was trained with a 16k vocab, so 2.62M of the 5.52M active parameters are embedding.
 
 ## Chatbench results: