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README.md

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-# MahaEluwa: A Conversational LoRA for Facebook's OPT 6.7b Architecture
+# Eluwa: A Conversational LoRA for Facebook's OPT Architecture
 
 ![logo](https://huggingface.co/BackyardLabs/MahaEluwa/resolve/main/MahaEluwa.jpg "you baaaaaa'd, sir?")
 
-Eluwa is a fine-tuned Low-Rank Adapter (LoRA) model for Facebook's OPT 6.7b. It is trained on the Stanford Alpaca dataset. 
+Eluwa is a fine-tuned Low-Rank Adapter (LoRA) model for Facebook's OPT 1.3b, 2.7b and 6.7b. It is trained on the Stanford Alpaca dataset. 
 
-This repository contains the Eluwa 6.7b 2 epoch model, which represents a significant improvements in question-answering ability compared to the default OPT 2.7b model. 
-Despite Eluwa being not too different from OPT 6.7b, it often does a lot better than default OPT2.7b at accuracy and coherency. 
+This repository contains the Eluwa 6.7b 2 epoch model, which represents a significant improvements in question-answering ability compared to the default OPT 6.7b model. 
 
 Below are the results of Vicuna-style testing: 80 questions in various categories, with the responses rated by GPT-4.