Update README.md

README.md

@@ -48,10 +48,10 @@ As shown in the figure below, we adopted the same model architecture as InternVL
 
 |                                              Model                                               |                                     Vision Foundation Model                                     | Release Date | Note                                                                                                                                                               |
 | :----------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | :----------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-|      InternVL-Chat-V1.5(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5))       | InternViT-6B-448px-V1-5(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5)) |  2024.04.18  | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (🔥new) |
+|      InternVL-Chat-V1-5(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5))       | InternViT-6B-448px-V1-5(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5)) |  2024.04.18  | support 4K image; super strong OCR; Approaching the performance of GPT-4V and Gemini Pro on various benchmarks like MMMU, DocVQA, ChartQA, MathVista, etc. (🔥new) |
 | InternVL-Chat-V1.2-Plus(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2-Plus) ) | InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) |  2024.02.21  | more SFT data and stronger                                                                                                                                         |
-|      InternVL-Chat-V1.2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) )      | InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) |  2024.02.11  | scaling up LLM to 34B                                                                                                                                              |
-|      InternVL-Chat-V1.1(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1))       | InternViT-6B-448px-V1-0(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) |  2024.01.24  | support Chinese and stronger OCR                                                                                                                                   |
+|      InternVL-Chat-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-2) )      | InternViT-6B-448px-V1-2(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-2)) |  2024.02.11  | scaling up LLM to 34B                                                                                                                                              |
+|      InternVL-Chat-V1-1(🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL-Chat-V1-1))       | InternViT-6B-448px-V1-0(🤗 [HF link](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-0)) |  2024.01.24  | support Chinese and stronger OCR                                                                                                                                   |
 
 ## Performance
 
@@ -59,7 +59,7 @@ As shown in the figure below, we adopted the same model architecture as InternVL
 
 ## Model Usage
 
-We provide an example code to run Mini-InternVL-Chat-4B-V1.5 using `transformers`.
+We provide an example code to run Mini-InternVL-Chat-4B-V1-5 using `transformers`.
 
 You can also use our [online demo](https://internvl.opengvlab.com/) for a quick experience of this model.