ServoVLA LIBERO

ServoVLA policy for LIBERO-40 simulation. This release contains the EMA policy head from training step 1,190,000 and the action normalization statistics saved with that run.

Model Contract

  • Benchmark: LIBERO-40 (libero_10, libero_spatial, libero_object, libero_goal)
  • Action space: 7-dimensional direct environment action
  • State space: 8-dimensional LIBERO proprioception
  • Cameras: observation.images.image, observation.images.image2
  • Action chunk: 16 steps
  • Inference steps: 3
  • Vision encoder: facebook/dinov3-vitb16-pretrain-lvd1689m
  • Language encoder: Qwen/Qwen3.5-0.8B
  • Weights: EMA (used_ema=true)
  • Action normalization: enabled, per-horizon dimension, 16 x 7 statistics

Evaluation

The selected checkpoint was evaluated on the fixed LIBERO-40 four-suite protocol with 30 episodes per task, 1,200 episodes total:

  • Overall balanced success rate: 78.0%
  • libero_10: 79.0%
  • libero_spatial: 75.0%
  • libero_object: 84.33%
  • libero_goal: 73.67%

Three additional 50-episode-per-task evaluations with different seeds produced overall balanced success rates of 75.6%, 79.15%, and 69.25% (mean 75.95%). Rollouts used relative LIBERO environment control, open-loop 16-step chunks, and observed maximum frame delay 0 in the reported runs.

Files

  • model.safetensors: LeRobot-compatible EMA policy weights.
  • config.json: ServoVLA policy configuration.
  • policy_preprocessor.json and policy_postprocessor.json: LeRobot processor configuration.
  • checkpoint.pt: cleaned ServoVLA checkpoint containing model_state, ema_state, step, and action_normalization only.

The checkpoint is weights-only for inference and fresh initialization. Optimizer, scheduler, W&B, and resume-training state are intentionally absent.

Usage

Use this directory with the ServoVLA LIBERO evaluation entry points. The LIBERO camera keys, state ordering, action dimensions, and direct-action semantics must match the model contract above. This policy is not compatible with SO101 robot observations or the SO101 delta-action contract.

License

ServoVLA is released under the MIT License. The vision and language encoders and the LIBERO benchmark assets are subject to their respective upstream licenses and terms.

Downloads last month
13
Safetensors
Model size
93.1M params
Tensor type
F32
·
Video Preview
loading