Update README.md

README.md

@@ -63,12 +63,12 @@ The plot below showcases performance normalized between the negative control (ra
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62f2bd3bdb7cbd214b658c48/88EweoycOIhJBk2RvGCKn.png)
 
 ## Inference speeds
-We look at various ESM models and their throughput on H100. Adding efficient batching between ESMC and ESM++ significantly improves the throughput. ESM++ small is even faster than ESM2-35M with long sequences!
+We look at various ESM models and their throughput on an H100. Adding efficient batching between ESMC and ESM++ significantly improves the throughput. ESM++ small is even faster than ESM2-35M with long sequences!
 The most gains will be seen with PyTorch > 2.5 on linux machines.
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62f2bd3bdb7cbd214b658c48/NNmbupdIxuieuyjc8vMuj.png)
 
 ### Citation
-If you use any of this implementation or work please cite it (as well as the ESMC preprint)
+If you use any of this implementation or work please cite it (as well as the ESMC preprint). Bibtex for both coming soon.
 
 ### Note on the name
 The original thought was ESMC++ but anything with C would technically go against the ESM license agreement - so ESM++. Open to suggestions!