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openvla-7b

openvla

OpenVLA 7B (`openvla-7b`) is an open vision-language-action model trained on 970K robot manipulation episodes from the Open X-Embodiment dataset. The model takes language instructions and camera images as input and generates robot actions. It supports controlling multiple robots out-of-the-box, and can be quickly adapted for new robot domains via (parameter-efficient) fine-tuning. All OpenVLA checkpoints, as well as our training codebase are released under an MIT License. For full details, please read our paper and see our project page.

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openvla-7b-finetuned-libero-10

openvla

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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openvla-7b-finetuned-libero-goal

openvla

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openvla-7b-finetuned-libero-object

openvla

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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openvla-7b-finetuned-libero-spatial

openvla

This model was produced by fine-tuning the OpenVLA 7B model via LoRA (r=32) on the LIBERO-Spatial dataset from the LIBERO simulation benchmark. We made a few modifications to the training dataset to improve final performance (see the OpenVLA paper for details). See the OpenVLA GitHub README for instructions on how to run and evaluate this model in the LIBERO simulator.

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Explore AI models 5

openvla-7b

openvla-7b-finetuned-libero-10

openvla-7b-finetuned-libero-goal

openvla-7b-finetuned-libero-object

openvla-7b-finetuned-libero-spatial

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