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# Sim2Real calibration policies
Six existing policies are shared across five inference GPU conditions.
| Task | Model | Existing bundle |
|---|---|---|
| flappy | qwenoft | [latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2) |
| flappy | qwengr00t | [latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2) |
| inverted_pendulum | qwenoft | [latency-aware/inverted-pendulum/vla/starvla-qwenoft-h1/inverted_pendulum_rgb_state_ip10_20260911T010114Z_openvla_native_sft_2k](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/inverted-pendulum/vla/starvla-qwenoft-h1/inverted_pendulum_rgb_state_ip10_20260911T010114Z_openvla_native_sft_2k) |
| inverted_pendulum | qwengr00t | [latency-aware/inverted-pendulum/vla/starvla-qwengr00t-h1/ip_profile_gr00t_h1_5fps_1h200_20260917](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/inverted-pendulum/vla/starvla-qwengr00t-h1/ip_profile_gr00t_h1_5fps_1h200_20260917) |
| mikasa_intercept_grab_fast | qwenoft | [latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923) |
| mikasa_intercept_grab_fast | qwengr00t | [latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923](/MLL-Lab/LAGEN-models/tree/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923) |
[Experiment settings, checkpoints, 30 cases and results](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/50d8f0aef64749a849760fc580ce3efb3c5c5e76/experiments/sim2real-calibration)
Checkpoint, configuration, dataset statistics and policy metadata identities
match the experiment snapshot `180da0effdaaaeacef218cf5fbaa4db41af67495`.
Existing training provenance remains beside each bundle.