Update README.md

README.md

@@ -8,12 +8,18 @@ An experimentation regarding 'lasering' each expert to denoise and enhance model
 
 This model has half size in comparison to the Mixtral 8x7b Instruct. And it basically has the same level of performance (we are working to get a better MMLU score).
 
-Used models (all lasered using laserRMT):
-cognitivecomputations/dolphin-2.6-mistral-7b-dpo
-mlabonne/Marcoro14-7B-slerp
-beowolx/CodeNinja-1.0-OpenChat-7B
-Q-bert/MetaMath-Cybertron-Starling
-WizardLM/WizardMath-7B-V1.1
+Used models (all lasered using laserRMT, except for the base model):
+
+
+*mlabonne/Marcoro14-7B-slerp (base)
+
+*cognitivecomputations/dolphin-2.6-mistral-7b-dpo
+
+*beowolx/CodeNinja-1.0-OpenChat-7B
+
+*Q-bert/MetaMath-Cybertron-Starling
+
+*WizardLM/WizardMath-7B-V1.1
 
 It follows the implementation of laserRMT @ https://github.com/cognitivecomputations/laserRMT