--- license: mit --- # Frames2LoRA SmolVLM Checkpoints ## Frames2LoRA: Parametric Video Internalization for Vision-Language Models Official implementation of **Frames2LoRA** [**Manan Suri**](https://manansuri.com/)  ·  [**Sarvesh Baskar**](https://sarvesh-369.github.io/)  ·  [**Dinesh Manocha**](https://www.cs.umd.edu/people/dmanocha) *University of Maryland, College Park* [![project page](https://img.shields.io/badge/🌐_project-page-3b82f6?style=flat-square)](https://frames2lora.github.io/) [![arxiv paper](https://img.shields.io/badge/📄_arxiv_paper-2606.04351-b31b1b?style=flat-square)](https://arxiv.org/abs/2606.04351) [![code](https://img.shields.io/badge/GitHub-Frames2LoRA-181717?style=flat-square)](https://github.com/frames2lora/Frames2LoRA) This repository contains two Frames2LoRA Stage 1 checkpoint files: - `frames2lora-smolvlm2-500m-best-ce.pt` for `HuggingFaceTB/SmolVLM2-500M-Video-Instruct` - `frames2lora-smolvlm2-2.2b-best-ce.pt` for `HuggingFaceTB/SmolVLM2-2.2B-Instruct` ## Cite us ```bibtex @misc{suri2026frames2loraparametricvideointernalization, title={Frames2LoRA: Parametric Video Internalization for Vision-Language Models}, author={Manan Suri and Sarvesh Baskar and Dinesh Manocha}, year={2026}, eprint={2606.04351}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2606.04351}, } ```