Unitree Opens Partial Weights for UnifoLM-WLA-1.0 After 64-Task Reveal

Unitree Robotics has begun publishing part of the weights and datasets for its frontier model UnifoLM-WLA-1.0, which has ~6 billion parameters for humanoid robots. The checkpoint was trained on ~2,500 hours of real data and covers 10 whole-body tasks and 54 tabletop tasks. Post-training code and base weights are promised later.

• Model with ~6 billion parameters covers 10 whole-body and 54 tabletop tasks
• Checkpoint trained on ~2,500 hours of real robot data
• Part of weights and datasets available now, code and base later
• Embodied model UnifoLM-ER-1-4B built on Qwen3-VL-4B