Update README.md

README.md

@@ -13,7 +13,7 @@ pipeline_tag: image-to-text
 DenseConnector is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
 It is an auto-regressive language model, based on the transformer architecture.
 
-**Model date:**
+**Model info:**
 DenseConnector-v1.5-7B was trained in 05/2024.
 
 **Paper or resources for more information:**
@@ -22,9 +22,13 @@ https://github.com/HJYao00/DenseConnector
 **Paper on Hugging Face:** 
 [arxiv.org/abs/2405.13800](https://arxiv.org/abs/2405.13800)
 
-**Training dataset**
+**Training dataset:**
 This model is trained on [LLaVA-1.5](https://github.com/haotian-liu/LLaVA) dataset.
 
+**Large Language Model:**
+Vicuna-7B
+
+
 ## License
 Llama 2 is licensed under the LLAMA 2 Community License, 
 Copyright (c) Meta Platforms, Inc. All Rights Reserved.