Update model card

README.md

@@ -3,6 +3,38 @@ license: apache-2.0
 inference: false
 ---
 
-**NOTE: This "delta model" cannot be used directly.**  
-Users have to apply it on top of the original LLaMA weights.  
-See https://github.com/lm-sys/FastChat#vicuna-weights for instructions.
+**NOTE: This "delta model" cannot be used directly.**
+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.
+
+# 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. 
+
+**Organizations developing the model**
+The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.
+
+**Paper or resources for more information**
+https://vicuna.lmsys.org/
+
+**License**
+Apache License 2.0
+
+**Where to send questions or comments about the model**
+https://github.com/lm-sys/FastChat/issues
+
+## Intended use
+**Primary intended uses**
+The primary use of Vicuna is research on large language models and chatbots.
+
+**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
+70K conversations collected from ShareGPT.com.
+
+## Evaluation dataset
+A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.