Update README.md

README.md

@@ -23,9 +23,9 @@ The models in this merge are some of my favorites and I found I liked all of the
 
 Model_stock was the method used, it's very straightforward and quite fast, the bottleneck seemed to be my NVMe drive.
 
-All source models use ChatML prompt formatting and it responds very well.  For testing purposes I am using a temperature of 1.08, rep pen of 0.03, and DRY with 0.6 (most Qwen models seem to need DRY).  All other samplers are neutralized.
+All source models use ChatML prompt formatting and it responds very well.  Consider the following settings (thanks Geechan!): Temp 1.25, MinP 0.02, XTC 0.15/probability 0.5, DRY 0.8.  All other samplers neutralized.  Chuluun seems to be able to work with higher temperatures than other Qwen models without losing coherency.
 
-My sysprompt is a modified version of Konnect's, but I expect you should be able to use this with your favorite.  
+Konnect has released their [Qwenception](https://huggingface.co/Konnect1221/The-Inception-Presets-Methception-LLamaception-Qwenception) sysprompts and settings, which work quite well with Chuluun.  
 
 ## Merge Details
 ### Merge Method