bridgequant-so101-7m

BridgeQuant 7M (Theia-tiny ViT + pruned BERT-tiny, hybrid attention/short-conv trunk, role-query bridge, short-conv flow expert) trained on three SO101 follower-arm tasks. In-sample MAE 1.36 / 1.14.

Files: model.safetensors (trainable weights), norm_stats.json (state/action normalisation), bridgequant_vla.yaml / config.json / metadata.json (the bundle the loader expects), train_config.yaml (the experiment YAML used for training; evaluation and deployment take the same YAML).

Code: https://github.com/VLAOpt/bridgequant-async — load with load_trainable_weights(policy, "<this dir>") after BridgeQuantAsyncVLA.from_pretrained(config=cfg.policy, init_empty_trainable=True); for the SO101 arm use scripts/so101_policy.py (see docs/so101_deploy.md).