Update README.md

README.md

@@ -9,7 +9,7 @@ This model experiment was inspired by the work published in [Goat: Fine-tuned LL
 
 Fine tuning of [philschmid/Llama-2-7b-hf](https://huggingface.co/philschmid/Llama-2-7b-hf) was conducted with 2.8M math problems from the [AtlasUnified/atlas-math-sets](https://huggingface.co/datasets/AtlasUnified/atlas-math-sets) dataset.  
 
-Training was conducted on a trn1.32xlarge instance. The model here was complied for 2 Neuron cores, which will run on AWS inf2.8xlarge and larger instances.
+Training was conducted on a trn1.32xlarge instance. The model here was complied for 2 Neuron cores, which will run on AWS inf2.8xlarge and larger instances.  It also runs on an inf2.xlarge (the smallest Inferentia2 instance), but it uses over 80% of the system RAM.
 
 The table below highlights performance improvements observed on basic math questions.