Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- video LLM
+datasets:
+- OpenGVLab/VideoChat2-IT
+---
+
+
+# PLLaVA Model Card
+## Model details
+**Model type:** 
+PLLaVA-7B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: llava-hf/llava-v1.6-vicuna-7b-hf
+
+**Model date:**
+PLLaVA-7B was trained in April 2024.
+
+**Paper or resources for more information:**
+- github repo: https://github.com/magic-research/PLLaVA
+- project page: https://pllava.github.io/
+- paper link: https://arxiv.org/abs/2404.16994
+
+## License
+llava-hf/llava-v1.6-vicuna-7b-hf license.
+
+**Where to send questions or comments about the model:**
+https://github.com/magic-research/PLLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of PLLaVA is research on large multimodal models and chatbots.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
+
+## Training dataset
+Video-Instruct-Tuning data of OpenGVLab/VideoChat2-IT
+## Evaluation dataset
+A collection of 6 benchmarks, including 5 VQA benchmarks and 1 recent benchmarks specifically proposed for Video-LMMs.