Update README.md

README.md

@@ -10,7 +10,7 @@ An Open_LLaMA-13B model trained on custom explain tuned datasets, created using
 
 # Dataset
 
-We trained [OpenLLaMa-13B model](https://github.com/openlm-research/open_llama) on custom explain tuned [WizardLM ~70K](https://github.com/nlpxucan/WizardLM), [Alpaca dataset ~52K](https://crfm.stanford.edu/2023/03/13/alpaca.html)  & [Dolly-V2 ~15K](https://github.com/databrickslabs/dolly) created using approaches from [Orca Research Paper](https://arxiv.org/abs/2306.02707). 
+We trained [OpenLLaMa-3B model](https://github.com/openlm-research/open_llama) on custom explain tuned [WizardLM dataset ~70K](https://github.com/nlpxucan/WizardLM), [Alpaca dataset ~52K](https://crfm.stanford.edu/2023/03/13/alpaca.html)  & [Dolly-V2 dataset ~15K](https://github.com/databrickslabs/dolly) created using approaches from [Orca Research Paper](https://arxiv.org/abs/2306.02707).
 
 We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.