它是首个专门为具身智能设计的开源 MoE 视频生成模型，在 RBench 排行榜上排名第一，并且完全以 Apache 2.0 许可证开源。
🌐 Project Page | 🤗 Hugging Face | 🤖 ModelScope | 📄 Paper | ⚖️ License| 💬 WeChat 微信 Group
📘 English Usage: English Documentation
📕 中文使用文档: 中文文档
We are excited to introduce LingBot-Video, the first open-source large-scale MoE (Mixture-of-Experts) video generation model dedicated to embodied intelligence. As a top-tier video model, LingBot-Video is designed to bridge the gap between video synthesis and physical world understanding.
| Model Name | Components | Tasks | Download |
|---|---|---|---|
| ⚡ LingBot-Video-Dense | Dense (1.3B) | T2I, T2V, TI2V | 🤗 Huggingface 🤖 ModelScope |
| 💪 LingBot-Video-MoE | MoE (30B-A3B) + Refiner | T2I, T2V, TI2V, Refinement | 🤗 Huggingface 🤖 ModelScope |
| 📝 LingBot-Video-Rewriter-Base | Qwen3.6-27B official | Prompt rewriter (Expand) | 🤗 Huggingface 🤖 ModelScope |
| 📝 LingBot-Video-Rewriter-Adapter | Qwen3.6-27B LoRA | Prompt rewriter (Json) | 🤗 Huggingface 🤖 ModelScope |
The root `requireme
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
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