LingBot-VLA 2.0
converted for
LeRobot
(
policy.type=lingbot_vla_v2
): a Qwen3-VL-4B backbone with a sparse-MoE Qwen2 action expert, trained with flow matching.
Pre-trained base checkpoint, the starting point for fine-tuning on a new robot.
The weights are the upstream
robbyant/lingbot-vla-v2-6b
weights, unchanged (fp32, every tensor checked against upstream), with a LeRobot config and processors.
Apache-2.0, as the upstream release. Fine-tuning with the dual-query distillation (on by default) downloads frozen teachers under their own licenses, including DINO-Video weights under the
DINOv3 License
. Inference does not use them.
Citation
@article{lingbotvla2,
title={From Foundation to Application: Improving VLA Models in Practice},
author={Wei Wu and others},
journal={arXiv preprint arXiv:2607.06403},
year={2026}
}
Runs of lerobot lingbot_vla_v2_base on huggingface.co
144
Total runs
5
24-hour runs
121
3-day runs
121
7-day runs
121
30-day runs
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