Update README.md

README.md

@@ -31,7 +31,6 @@ Quantized with Exllamav2 0.0.11 with default dataset.
 I tried to load 4bpw version of the model in Text-Generation-WebUI but it didn't set RoPE scaling automatically despite it being defined in the config file.  
 With high context it starts writing gibberish when RoPE scaling isn't set, so I checked it with 4x compress_pos_emb for 32k max context and it was able to retrieve details from 16000 token prompt.  
 With my 12GB VRAM GPU I could load the model with about 30000 tokens or 32768 tokens with 8bit cache option.  
-It's the first Yarn model that worked for me, perhaps other Yarn models required to set RoPE scaling manually too.
 
 ## How to run