Qwen3VL-GR00T-Bridge-RT-1

Qwen3-VL-4B GR00T for Bridge + RT-1 (20K)

This repository contains a StarVLA QwenGR00T WidowX policy trained on the Bridge and Fractal/RT-1 LeRobot datasets. The action decoder is a diffusion transformer flow-matching head; this is not an OFT regression model.

Checkpoint identity

Although the configured run target is 100K and the summary contains later save events, no checkpoint later than 20K is published here.

Model and control contract

The SimplerEnv adapter sends image and language without robot state. Do not silently change the observation payload, action coordinate system, or normalization key. The YAML also carries a dinov2_vits14 field, but the matched QwenGR00T implementation does not construct a DINO or Q-Former module.

Training data and settings

The bridge_rt_1 mixture combines the packaged oxe_bridge statistics (1,284,318 transitions, 53,192 trajectories) and oxe_rt1 statistics (3,449,678 transitions, 87,212 trajectories).

Packaged-log evaluation

The repository packages 16 logs whose filenames and final command lines point to steps_20000_pytorch_model.pt: four SimplerEnv Bridge tasks, four runs per task, and 24 episodes per run (384 episodes total).

These values are recomputed from the packaged logs. The StarVLA model-zoo page lists 65.3%, but that number is not reproduced by this artifact's 16 logs and is therefore not used as the checkpoint score here.

Download and load

hf download StarVLA/Qwen3VL-GR00T-Bridge-RT-1 \
  --local-dir playground/Pretrained_models/Qwen3VL-GR00T-Bridge-RT-1

export CKPT=playground/Pretrained_models/Qwen3VL-GR00T-Bridge-RT-1/checkpoints/steps_20000_pytorch_model.pt
python deployment/model_server/server_policy.py \
  --ckpt_path "$CKPT" \
  --config_override framework.qwenvl.base_vlm=Qwen/Qwen3-VL-4B-Instruct \
  --port 57700 \
  --use_bf16

Evaluate through the WidowX Bridge adapter documented in examples/simBenchmarks/SimplerEnv/README.md, using oxe_bridge, delta-EEF actions, and the same ensemble settings.

Intended use and limitations

The policy is intended for the four WidowX Bridge tasks in SimplerEnv. Its results do not establish performance on RT-1 robot hardware, other embodiments, or real-world deployment. Preserve the matching StarVLA framework and treat the pickle-based checkpoint as executable data from a trusted revision.

License status

This target repository did not previously publish a Model Card or a separate LICENSE file. The checkpoint's weight license therefore needs maintainer confirmation; the Qwen3-VL base-model and training-dataset terms still apply.