Update README.md

README.md

@@ -10,7 +10,7 @@ Credit to Fernando Fernandes and Eric Hartford for their project [laserRMT](http
 
 This model is a medium-sized MoE implementation based on [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser)
 
-A 2x7b configuration offers better performance than a standard 7b model even if loaded in 4 bit.
+A 2x7b configuration offers better performance than a standard 7b model even if loaded in 4 bit. (9G VRAM)
 
 If this 2x7b model is loaded in 4 bit the hellaswag score is .8270 which is higher than the base model achieves on its own in full precision.