Update README.md

README.md

@@ -1,30 +1,30 @@
----
-license: llama2
-tags:
-- vision-language model
-- llama
-- video understanding
----
-
-# Flash-VStream Model Card
-<a href='https://invinciblewyq.github.io/vstream-page/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
-<a href='https://arxiv.org/abs/2406.08085v1'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
-
-## Model details
-We proposed Flash-VStream, a video-language model that simulates the memory mechanism of human. Our model is able to process extremely long video streams in real-time and respond to user queries simultaneously.
-
-** This is the checkpoint only after stage-1 pretraining. **
-** Please use [the checkpoint](https://huggingface.co/IVGSZ/Flash-VStream-7b) after stage-2 finetuning for better performance. **
-
-## License
-Llama 2 is licensed under the LLAMA 2 Community License, 
-Copyright (c) Meta Platforms, Inc. All Rights Reserved.
-
-## Training data
-This model is trained based on image data from LLaVA-1.5 dataset, and video data from WebVid and ActivityNet datasets following LLaMA-VID, including
-- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
-- 158K GPT-generated multimodal instruction-following data.
-- 450K academic-task-oriented VQA data mixture.
-- 40K ShareGPT data.
-- 232K video-caption pairs sampled from the WebVid 2.5M dataset.
-- 98K videos from ActivityNet with QA pairs from Video-ChatGPT.
+---
+license: llama2
+tags:
+- vision-language model
+- llama
+- video understanding
+---
+
+# Flash-VStream Model Card
+<a href='https://invinciblewyq.github.io/vstream-page/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
+<a href='https://arxiv.org/abs/2406.08085v1'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
+
+## Model details
+We proposed Flash-VStream, a video-language model that simulates the memory mechanism of human. Our model is able to process extremely long video streams in real-time and respond to user queries simultaneously.
+
+**This is the checkpoint only after stage-1 pretraining.**
+**Please use [the checkpoint](https://huggingface.co/IVGSZ/Flash-VStream-7b) after stage-2 finetuning for better performance.**
+
+## License
+Llama 2 is licensed under the LLAMA 2 Community License, 
+Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+## Training data
+This model is trained based on image data from LLaVA-1.5 dataset, and video data from WebVid and ActivityNet datasets following LLaMA-VID, including
+- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
+- 158K GPT-generated multimodal instruction-following data.
+- 450K academic-task-oriented VQA data mixture.
+- 40K ShareGPT data.
+- 232K video-caption pairs sampled from the WebVid 2.5M dataset.
+- 98K videos from ActivityNet with QA pairs from Video-ChatGPT.