Update README.md

README.md

@@ -17,10 +17,10 @@ pipeline_tag: visual-question-answering
 ![VideoScore](https://tiger-ai-lab.github.io/VideoScore/static/images/teaser.png)
 
 ## Introduction
-- 🧐🧐[VideoScore-anno-only](https://huggingface.co/TIGER-Lab/VideoScore-anno-only) is a variant from [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore), trained on VideoFeedback dataset 
+- 🧐🧐[VideoScore-anno-only](https://huggingface.co/TIGER-Lab/VideoScore-anno-only) is a variant from [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore), taking [Qwen/Qwen2-VL](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) as base model, and trained on VideoFeedback dataset 
 excluding the real videos. 
 
-- [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) series is a video quality evaluation model series, taking [Mantis-8B-Idefics2](https://huggingface.co/TIGER-Lab/Mantis-8B-Idefics2) or [Qwen/Qwen2-VL](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) as base-model,
+- [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) series is a video quality evaluation model series, taking [Mantis-8B-Idefics2](https://huggingface.co/TIGER-Lab/Mantis-8B-Idefics2) or [Qwen/Qwen2-VL](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) as base model,
 and trained on [VideoFeedback](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback),
 a large video evaluation dataset with multi-aspect human scores.