Update model card

README.md

@@ -7,31 +7,37 @@ inference: false
 Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights.  
 See https://github.com/lm-sys/FastChat#vicuna-weights for instructions.
 
+<br>
+<br>
 
 # Vicuna Model Card
 
 ## Model details
 
-**Model type**
-Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. 
+**Model type:**
+Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
+It is an auto-regressive language model, based on the transformer architecture.
 
-**Organizations developing the model**
+**Model date:**
+Vicuna was trained between March 2023 and April 2023.
+
+**Organizations developing the model:**
 The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.
 
-**Paper or resources for more information**
+**Paper or resources for more information:**
 https://vicuna.lmsys.org/
 
-**License**
+**License:**
 Apache License 2.0
 
-**Where to send questions or comments about the model**
+**Where to send questions or comments about the model:**
 https://github.com/lm-sys/FastChat/issues
 
 ## Intended use
-**Primary intended uses**
+**Primary intended uses:**
 The primary use of Vicuna is research on large language models and chatbots.
 
-**Primary intended users**
+**Primary intended users:**
 The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
 
 ## Training dataset