Update README.md

README.md

@@ -29,10 +29,8 @@ On iPhone 15 Pro, the model runs at 17.3 tokens/sec and uses 3206 Mb of memory.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66049fc71116cebd1d3bdcf4/521rXwIlYS9HIAEBAPJjw.png)
 
-⚠️ **Caveat:** Our mobile demo apps have **regressed support for the Phi-4 tokenizer**, so this model will not currently run in our official demo apps.  
-If you are using your own runner, you can still load and run the `.pte` file successfully.  
-(See https://github.com/pytorch/executorch/issues/14077 for details and tracking.)
-
+⚠️ **Caveat:** Our mobile demo apps have **regressed support for the Phi-4 tokenizer**, so this model will not currently run in our official apps.  
+If you are using your own app and runner, you can still load and run the `.pte` file successfully.  See https://github.com/pytorch/executorch/issues/14077 for details and tracking.
 
 # Quantization Recipe