Light-O1-Preview

Light Origins makes Light-O1-Preview, an open-weight research preview, and the company is an embodied-AI firm with offices in Beijing, Shenzhen and Singapore. The model takes a written instruction, writes a short reasoning trace about what the body must do, then generates a sequence of whole-body humanoid actions.

Main features

• Text-to-motion: converts a natural-language instruction into humanoid motion.
• Shared motion format: a 20-frames-per-second stream that covers base movement, pelvis height, turning rate, 22 joint angles and two hand states, so it can be retargeted to other robots.
• Browser playground: a demonstration hosted on Hugging Face Spaces.
• Simulation example: a Unitree G1 example that runs in MuJoCo simulation.

Clients

Researchers exploring humanoid motion generated from text. Light Origins calls it a research preview rather than a robot controller.

Key facts

• Base model: Qwen3.5-4B, with about 5.5 billion parameters according to Hugging Face metadata.
• Requirements: Linux, Python 3.11 and a CUDA 13-compatible NVIDIA GPU for inference.
• Licence: Apache 2.0 for the weights and code.
• Release: announced in a technical blog post dated 21 September 2026, with the Hugging Face repository created on 20 September.
• Own evaluation: the company reports 78.0 on HY-Motion-Bench, against 74.7 for HY-Motion-1.0, a result it measured itself.

Driving a physical robot needs a separate behaviour model or low-level controller.