OpenMOSS-Team/EasyWAM-MoT-Cosmos25开源了新模型

OpenMOSS-Team/EasyWAM-MoT-Cosmos25 · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/OpenMOSS-Team) OpenMOSS-Team (https://huggingface.co/OpenMOSS-Team) / EasyWAM-MoT-Cosmos25 (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25) Like 0 Follow OpenMOSS 1.23k Robotics (https://huggingface.co/models?pipeline_tag=robotics) easywam (https://huggingface.co/models?other=easywam) world-action-model (https://huggingface.co/models?other=world-action-model) imitation-learning (https://huggingface.co/models?other=imitation-learning) cosmos-predict2.5 (https://huggingface.co/models?other=cosmos-predict2.5) License: cc-by-nc-4.0 Model card (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25) Files Files and versions xet (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25/tree/main) Community (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25/discussions) Copy to bucket new EasyWAM-MoT-Cosmos25 (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#easywam-mot-cosmos25) LIBERO (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#libero) Results (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#results) Download (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#download) Evaluation (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#evaluation) Available Checkpoints (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#available-checkpoints) Project (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#project) License and Citation (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#license-and-citation) (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#easywam-mot-cosmos25) EasyWAM-MoT-Cosmos25 This repository hosts released EasyWAM-MoT checkpoints built on Cosmos-Predict2.5-2B (https://huggingface.co/nvidia/Cosmos-Predict2.5-2B) . EasyWAM-MoT uses separate Video DiT and Action DiT experts whose tokens interact through mixed self-attention. At inference time, it predicts actions without generating future video. The checkpoints are trained with the EasyWAM (https://github.com/OpenMOSS/EasyWAM) codebase. (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#libero) LIBERO (https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25#results) Results Task success rate (%) under the EasyWAM LIBERO evaluation protocol. All results use state_position: sequence; higher is better. Models using the same Cosmos-Predict2.5-2B backbone are shown together for comparison, and 🔥 marks the architecture released in this repository. Full-Parameter Model Spatial Object Goal LIBERO-10 Avg. EasyWAM-Unified 97.8 99.4 97.0 93.0 96.8 🔥 EasyWAM-M

OpenMOSS OpenMOSS-Team/EasyWAM-MoT-Cosmos25 OpenMOSS-Team/EasyWAM-MoT-Cosmos25 https://huggingface.co/OpenMOSS-Team/EasyWAM-MoT-Cosmos25