Update README.md

README.md

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 ## Model details
 
-The core idea behind multi-crop LLaVA is that instead of N visual token embeddings per image, I generate one token embedding per N parts of the image. 
+The core idea behind multi-crop LLaVA (MC-LLaVA) is that instead of N visual token embeddings per image, I generate one token embedding per N parts of the image. 
 Having high-quality embeddings for smaller parts of the image helps to extract more details and understand the scene better.
 
 For every crop of the image, I generate an embedding from the full SigLIP encoder (size [1, 1152]) and then push all N embeddings through the LLaVA adapter, which