Update README.md

README.md

@@ -117,12 +117,13 @@ A merge using a custom algorithm of:
 
 This merge retains most of the weights of Miqu, but when a weight is similar between the two, it is interpolated to the WinterGoddess value. A parameter *t* specifies the sameness threshold. When the distance between two values is below *t*, the weight from WinterGoddess is used.
 
-This version of the model uses *t* = 0.001. *t* was selected so that very few but some weights are fully switched to WinterGoddess. Model quality rapidly degrades above *t* = 0.0025:
+This version of the model uses *t* = 0.001. At this *t*, about 10% of weights are fully switched to WinterGoddess. Model quality rapidly degrades above *t* = 0.0025:
 
-- *t* = 0.001: This model
-- *t* = 0.0025: Generates one paragraph okay, but then reverts to garbage
-- *t* = 0.005: Garbage; semi-related word lists
-- *t* = 0.01: Garbage; pseudorandom tokens output
+- *t* = 0.0003 (~2%  full swap)
+- *t* = 0.001  (~10% full swap): This model
+- *t* = 0.0025 (~18% full swap): Generates one paragraph okay, but then reverts to garbage
+- *t* = 0.005  (~35% full swap): Garbage; semi-related word lists
+- *t* = 0.01   (~55% full swap): Garbage; pseudorandom tokens output
 
 ```
     t: Union[float, np.ndarray],