OpenWAM-Stanford/OpenWAM-Pretraining

OpenWAM Pretraining

OpenWAM video pretraining model weights, trained using single-view and multi view video data with text conditioning.

This repository contains model weights only, with a portable reference configuration and checksums. Optimizer and scheduler state, datasets, and frontend assets are not included. The PyTorch payload contains model_state_dict.

See the OpenWAM pretraining source and documentation for dataset processing and training instructions. Configure the external video frontend, text encoder, tokenizer, and local asset paths before use.