Update README.md

README.md

@@ -107,12 +107,14 @@ model-index:
 # TheBeagle-v2beta-32B-MGS
 This model is an experimental version of our latest innovation: `MGS`. Its up to you to figure out what does it means, but its very explicit.
 We didn't applied our known `UNA` algorithm to the forward pass, but they are entirely compatible and operates in different parts of the neural network and in different ways, tho they both can be seen as a regularization technique.
+![TheBeagle-v2-MGS](https://huggingface.co/fblgit/TheBeagle-v2beta-32B-MGS/resolve/main/TheBeagle-v2-MGS.png)
 
+`.. In the Loving Memory of my LoLa, coming back to your heart ..`
 
 ## MGS
 MGS stands for... Many-Geeks-Searching... and thats it. Hint: `1+1 is 2, and 1+1 is not 3`
 
-We still believe on 1-Epoch should be enough, so we just did 1 Epoch only.
+We still believe on 1-Epoch should be enough, so we just did 1 Epoch only as usual.
 
 ## Dataset
 Used here the first decent (corpora & size) dataset on the hub: `Magpie-Align/Magpie-Pro-300K-Filtered`
@@ -124,7 +126,7 @@ It achieves the following results on the evaluation set:
 
 [All versions available](https://huggingface.co/fblgit/TheBeagle-v2beta-MGS-GGUF/tree/main)
 
-EXL2 by bartowski:
+Quantz by bartowski:
 https://huggingface.co/bartowski/TheBeagle-v2beta-32B-MGS-GGUF