Update README.md

README.md

@@ -42,7 +42,7 @@ int8_mask: true
 dtype: bfloat16
 ```
 
-dare_ties is testing with better perplexity than a regular ties merge with the same merge configuration. Model weights that add up to one also seem optimal from testing. And results seem... better than the previous dare merge with Tess 1.2? Maybe?
+dare_ties is testing with better perplexity than a regular ties merge with the same merge configuration. Model weights that add up to one also seem optimal from testing. And high context results seem... better than the previous dare merge with Tess 1.2.
 
 I chose not to include other finetunes, such as Dolphin, because they aren't trained on the 200K base. If any other 200K finetunes pop up, let me know.