Update README.md

README.md

@@ -7,6 +7,8 @@ Zamba-7B-v1-phase1 is a hybrid model between Mamba, a state-space model, and tra
 
 Note: the current Huggingface implementation of Zamba performs slower than our internal implementation. We are working to fix this with the Huggingface team.
 
+Our technical report describing the training of Zamba is available [here](https://arxiv.org/abs/2405.16712).
+
 ## Quick start
 
 ### Presequities
@@ -43,6 +45,19 @@ outputs = model.generate(**input_ids, max_new_tokens=100)
 print(tokenizer.decode(outputs[0]))
 ```
 
+## Citation
+
+If you find Zamba useful in your work please cite it as:
+
+```
+@article{glorioso2024zamba,
+  title={Zamba: A Compact 7B SSM Hybrid Model},
+  author={Glorioso, Paolo and Anthony, Quentin and Tokpanov, Yury and Whittington, James and Pilault, Jonathan and Ibrahim, Adam and Millidge, Beren},
+  journal={arXiv preprint arXiv:2405.16712},
+  year={2024}
+}
+```
+
 ## Notice
 
 Zamba is a pretrained base model and therefore does not have any moderation mechanism.