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| title: OpenWAM | |
| emoji: ⚡ | |
| colorFrom: red | |
| colorTo: blue | |
| sdk: static | |
| pinned: false | |
| <div align="center"> | |
| <img src="https://huggingface.co/spaces/OpenWAM/README/resolve/main/openwam_title.png" width="440" alt="OpenWAM"/> | |
| <h1>A Modular Open-Source Framework for Systematic Training, Inference, and Deployment of World-Action Models</h1> | |
| [](https://arxiv.org/abs/2609.07398) | |
| [](https://github.com/OpenWAM-Official/OpenWAM) | |
| [](https://openwam-official.github.io/) | |
| [](https://www.apache.org/licenses/LICENSE-2.0) | |
| </div> | |
| ## 📦 Huggingface Collections | |
| - 🚀 [**OpenWAM_Alpha**](https://huggingface.co/collections/OpenWAM/openwam-alpha-6a8d2f4f3d636cae05095244): Public Release of our pretrained checkpoint (**OpenWAM-Alpha**), plus finetuned variants across downstream benchmarks. | |
| - 🔬 **OpenWAM-Study** — checkpoints from our controlled study on WAM design principles, split by axis: | |
| - 🏗️ [**OpenWAM_Study_Architecture**](https://huggingface.co/collections/OpenWAM/openwam-study-architecture-6a9bc1c8e84f492bd864ad5f): Architecture Variant Checkpoints for OpenWAM-Study | |
| - 🌱 [**OpenWAM_Study_Pretrain**](https://huggingface.co/collections/OpenWAM/openwam-study-pretrain-6a9bc1ca40511abaeec3e845): Pretrain Experiments Checkpoints for OpenWAM-Study | |
| - 👁️ [**OpenWAM_Study_Visual_Encoder**](https://huggingface.co/collections/OpenWAM/openwam-study-visual-encoder-6a9bc1ce05859970f012b715): Visual Encoder Variant Checkpoints for OpenWAM-Study | |
| - 🎬 [**OpenWAM_Study_Video_Backbone**](https://huggingface.co/collections/OpenWAM/openwam-study-video-backbone-6a9bc1d08ba5b35594c1b91d): Video Backbone Variant Checkpoints for OpenWAM-Study | |
| - 🎭 [**OpenWAM_Study_Attention_Mask**](https://huggingface.co/collections/OpenWAM/openwam-study-attention-mask-6a9bc1d29c65efc2715cc2f2): Attention Mask Variant Checkpoints for OpenWAM-Study | |