Update README.md

README.md

@@ -37,7 +37,7 @@ Can be run natively and fully offline on phones - try it yourself with [H2O AI P
 
 ## Model Architecture
 
-We adjust the Llama 2 architecture for a total of around 500m parameters. For details, please refer to our [Technical Report](https://arxiv.org/abs/2401.16818). We use the Mistral tokenizer with a vocabulary size of 32,000 and train our model up to a context length of 8,192.
+We adjust the Llama 2 architecture for a total of around 500m parameters. For details, please refer to our [Technical Report](https://arxiv.org/abs/2407.09276). We use the Mistral tokenizer with a vocabulary size of 32,000 and train our model up to a context length of 8,192.
 
 The details of the model architecture are: