Update README.md

README.md

@@ -8,7 +8,7 @@ base_model:
 pipeline_tag: text-generation
 ---
 
-# Model Card for LLaVA-NDiNO_long
+# Model Card for LLaVA-NDiNO_short_long
 
 ## Model description
 
@@ -16,7 +16,7 @@ pipeline_tag: text-generation
 
 **LLaVA-NDiNO** is a family of *Large Vision Language Models (LVLMs)* that have been trained for the Italian language. 
 
-The model was trained by instruction-tuning [**LLaMA 3 8B Base**](https://huggingface.co/meta-llama/Meta-Llama-3-8B) and [**CLIP Large 336**](https://huggingface.co/openai/clip-vit-large-patch14-336) on an Italian machine-translated version of [LLaVA Conversation 58k](https://huggingface.co/datasets/jxu124/llava_conversation_58k).
+The model was trained by instruction-tuning [LLaVA-NDiNO_short]/(https://huggingface.co/swap-uniba/LLaVA-NDiNO_short) on an Italian machine-translated version of [LLaVA Conversation 58k](https://huggingface.co/datasets/jxu124/llava_conversation_58k).
 
 If you are interested in more details regarding the training procedure, you can find the code we used at the following link:
 - **Repository:** https://github.com/swapUniba/LLaVA-NDiNO
@@ -27,7 +27,7 @@ If you are interested in more details regarding the training procedure, you can
 - **Model type:** LLaMA 3 + CLIP
 - **Language(s) (NLP):** Italian
 - **License:** Llama 3 Community License 
-- **Finetuned from model:** [swap-uniba/LLaVA-NDiNO_pt](https://huggingface.co/swap-uniba/LLaVA-NDiNO_pt)
+- **Finetuned from model:** [swap-uniba/LLaVA-NDiNO_short](https://huggingface.co/swap-uniba/LLaVA-NDiNO_short)
 
 
 ## Example Usage