Update README.md

README.md

@@ -118,7 +118,7 @@ base_model:
 ---
 
 
-# LLaVA-NeXT-Video-72B-Qwen2
+# LLaVA-Video-72B-Qwen2
 
 ##  Table of Contents
 
@@ -131,7 +131,7 @@ base_model:
 
 ## Model Summary
 
-The LLaVA-NeXT-Video models are 7/72B parameter models trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data) and [LLaVA-OneVision Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data), based on Qwen2 language model with a context window of 32K tokens.
+The LLaVA-Video models are 7/72B parameter models trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Video-SFT-Data) and [LLaVA-OneVision Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data), based on Qwen2 language model with a context window of 32K tokens.
 
 This model support at most 64 frames.
 
@@ -187,7 +187,7 @@ def load_video(self, video_path, max_frames_num,fps=1,force_sample=False):
     spare_frames = vr.get_batch(frame_idx).asnumpy()
     # import pdb;pdb.set_trace()
     return spare_frames,frame_time,video_time
-pretrained = "lmms-lab/LLaVA-NeXT-Video-72B-Qwen2"
+pretrained = "lmms-lab/LLaVA-Video-72B-Qwen2"
 model_name = "llava_qwen"
 device = "cuda"
 device_map = "auto"