Update README.md

README.md

@@ -12,6 +12,9 @@ language:
 tags:
 - qwen
 inference: false
+license: other
+license_name: tongyi-qianwen-license-agreement
+license_link: https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
 ---
 
 # `rinna/nekomata-7b`
@@ -44,7 +47,7 @@ The name `nekomata` comes from the Japanese word [`猫又/ねこまた/Nekomata`
     - [Wikipedia](https://dumps.wikimedia.org/other/cirrussearch)
     - rinna curated Japanese dataset
 
-* **Authors**
+* **Contributors**
 
     - [Tianyu Zhao](https://huggingface.co/tianyuz)
     - [Akio Kaga](https://huggingface.co/rakaga)
@@ -114,15 +117,24 @@ We compared the `Qwen` tokenizer (as used in `nekomata`) and the `llama-2` token
 
 # How to cite
 ~~~
-@misc{RinnaNekomata7b, 
-    url={https://huggingface.co/rinna/nekomata-7b}, 
-    title={rinna/nekomata-7b}, 
+@misc{rinna-nekomata-7b,
+    title = {rinna/nekomata-7b},
     author={Zhao, Tianyu and Kaga, Akio and Sawada, Kei}
+    url = {https://huggingface.co/rinna/nekomata-7b},
+}
+
+@inproceedings{sawada2024release,
+    title = {Release of Pre-Trained Models for the {J}apanese Language},
+    author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
+    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
+    month = {5},
+    year = {2024},
+    url = {https://arxiv.org/abs/2404.01657},
 }
 ~~~
 ---
 
-# Citations
+# References
 ~~~
 @software{gpt-neox-library,
     title = {{GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch}},