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Qwen3-Omni Adapter Smoke Test

  • Base model target: Qwen/Qwen3-Omni-30B-A3B-Thinking
  • Qwen3-Omni weights loaded: false
  • Episodes: 1
  • Windows: 59 total, 41 train, 18 test
  • Split: single_episode_chronological
  • Feature dimension: 4262
  • Adapter soft-token blocks: 11
  • Accuracy: 0.0000
  • Macro-F1: 0.0000

Why this is the minimum real test

This run uses real Ropedia annotation/video-derived feature blocks. It tests the sensor-adapter side that depth, pose, mocap, contacts, and IMU need before those tokens are attached to Qwen3-Omni. It deliberately avoids downloading the 30B Qwen3-Omni weights until the data path, labels, splits, and storage plan are confirmed.