Update README.md

Added a few merge notes

README.md

@@ -203,3 +203,8 @@ dtype: float16
 tokenizer_source: model:/home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
 
 ```
+
+Just a note on the configuration above. I tried several variations of the t parameter for this merge. I liked the results from the one above the best, but these other t arrays produced fine results too.
+* [0, 0, 0.1, 0.2, 0.4, 0.8, 0.4, 0.2, 0.1, 0, 0] -- This one definitely brought out more of Midnight Rose but was a little too similar for my liking
+* [0, 0, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0, 0] -- It worked, but I would say this one was the runt of the litter
+* [0, 0, 0.1, 0.2, 0.3, 0.35, 0.3, 0.2, 0.1, 0, 0] -- This was my second-favorite merge after the one I released, which suggests that favoring Miqu over the secondary model is the way to go.