Update README.md

README.md

@@ -1,14 +1,14 @@
----
-library_name: transformers
-license: mit
-datasets:
-- 5CD-AI/LLaVA-CoT-o1-Instruct
-language:
-- vi
-- en
-- zh
-pipeline_tag: image-text-to-text
----
+---
+library_name: transformers
+license: mit
+datasets:
+- 5CD-AI/LLaVA-CoT-o1-Instruct
+language:
+- vi
+- en
+- zh
+pipeline_tag: image-text-to-text
+---
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6336b5c831efcb5647f00170/MagGtnflTgsxkel9U71ot.png)
@@ -19,7 +19,6 @@ Multimodal LLM x Reasoning Model 👀 🧠 🔍
 
 After more than six months since creating the [5CD-AI/LLaVA-CoT-o1-Instruct](https://huggingface.co/datasets/5CD-AI/LLaVA-CoT-o1-Instruct) dataset—one of Hugging Face’s most liked datasets of 2024 🎉—we have just completed the "base" version of the Vintern Reasoning Model!
 - This model can perform long and complex reasoning based on images, breaking down each reasoning step into multiple sub-steps while keeping hallucinations under control.
- 🛠️ We also successfully implemented the GRPO algorithm on the Vintern Multimodel model!
  - Despite the difficulty of balancing multiple tasks alongside reasoning, Vintern-3B-R-beta has outperformed all previous versions across various benchmarks! 
 
 When should you choose [Vintern-1B-v3_5](https://huggingface.co/5CD-AI/Vintern-1B-v3_5) vs Vintern-3B-R-beta? 🤔