fix typos

README.md

@@ -4,7 +4,7 @@ license: mit
 
 ## Model Summary
 
-Video-CCAM-4B is a lightweight Video-MLLM built on [Phi-3-Mini-4K-Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) and [SigLIP SO400M](https://huggingface.co/google/siglip-so400m-patch14-384).
+Video-CCAM-4B is a lightweight Video-MLLM built on [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) and [SigLIP SO400M](https://huggingface.co/google/siglip-so400m-patch14-384). **Note**: Here [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) refers to the previous version, which requires `git commit id ff07dc01615f8113924aed013115ab2abd32115b` to get the checkpoint.
 
 ## Usage
 
@@ -27,12 +27,12 @@ Please refer to [Video-CCAM](https://github.com/QQ-MM/Video-CCAM) on inference a
 |w/o subs|48.2|49.6|
 |w subs|51.7|53.0|
 
-### MVBench: 57.78 (32 frames)
+### MVBench: 57.78 (16 frames)
 
 ## Acknowledgement
 
-* [xtuner](https://github.com/InternLM/xtuner): Video-CCAM-9B is trained using the xtuner framework. Thanks for their excellent works!
-* [Phi-3-Mini-4K-Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct): Powerful language models developed by Microsoft.
+* [xtuner](https://github.com/InternLM/xtuner): Video-CCAM-4B is trained using the xtuner framework. Thanks for their excellent works!
+* [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct): Powerful language models developed by Microsoft.
 * [SigLIP SO400M](https://huggingface.co/google/siglip-so400m-patch14-384): Outstanding vision encoder developed by Google.
 
 ## License