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-# Video2LoRA
+
-Video2LoRA trains a hypernetwork that converts a video into LoRA weights for a
-frozen vision-language model. The generated adapter lets the model answer later
-text prompts without feeding the video tokens again.
+# Video2LoRA: Parametric Video Internalization for Vision-Language Models
+
+Official PyTorch implementation of **Video2LoRA**
+
+[**Manan Suri**](https://manansuri.com/) · [**Sarvesh Baskar**](https://orcid.org/0009-0006-3831-6811) · [**Dinesh Manocha**](https://www.cs.umd.edu/people/dmanocha)
+
+*University of Maryland, College Park*
+
+[](https://video2lora.github.io/)
+[](https://arxiv.org/abs/2606.04351)
+[](https://huggingface.co/MananSuri27/Video2LoRA-SmolVLM-ckpts)
+[](LICENSE)
+
+---
+
+### [Install](#install) • [Checkpoints](#checkpoints) • [Inference](#inference) • [Data Format](#data-format) • [Training](#train)
+
+
+Video2LoRA trains a hypernetwork that converts a video into LoRA weights for a frozen vision-language model. The generated adapter lets the model answer later text prompts without feeding the video tokens again.
+
## Install
Install `uv`.