Update README.md

README.md

@@ -13,6 +13,7 @@ Both checkpoints are pretrained on 50Bn tokens of the Pile in the exact same dat
 ### Model Sources
 
 The model is a standard Mamba model using the code provided here: https://github.com/state-spaces/mamba/tree/main/mamba_ssm
+
 The training code is provided here for reproducing training: https://github.com/HazyResearch/based
 
 The paper for this work is here, and includes additional training details: https://arxiv.org/abs/2402.18668
@@ -34,9 +35,11 @@ We include a series of benchmarks that you can use to evaluate quality:
 
 Please consider citing this paper if you use our work: 
 
+```
 @article{arora2024simple,
   title={Simple linear attention language models balance the recall-throughput tradeoff},
   author={Arora, Simran and Eyuboglu, Sabri and Zhang, Michael and Timalsina, Aman and Alberti, Silas and Zinsley, Dylan and Zou, James and Rudra, Atri and Ré, Christopher},
   journal={arXiv:2402.18668},
   year={2024}
 }
+```