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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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pipeline_tag: robotics
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library_name: transformers
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---
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# UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
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The model was presented in the paper [UniVLA: Learning to Act Anywhere with Task-centric Latent Actions](https://huggingface.co/papers/2505.06111).
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## UniVLA-7b for CALVIN test suites
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Code can be found at [https://github.com/OpenDriveLab/UniVLA](https://github.com/OpenDriveLab/UniVLA).
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**🚀 Run the following script to start an evaluation on CALVIN ABC-D:**
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```bash
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# Mutli-GPU evaluation is supported
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torchrun --standalone --nnodes 1 --nproc-per-node 8 experiments/robot/calvin/run_calvin_eval_ddp.py \
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--calvin_root /path/to/yout/calvin_root_path \
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--action_decoder_path /path/to/your/action_decoder.pt \
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--pretrained_checkpoint /path/to/your/calvin_finetuned_univla \
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--seed 7
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```
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## 📝 Citation
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If you find our models useful in your work, please cite [our paper](https://arxiv.org/pdf/2505.06111):
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```bibtex
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@article{bu2025univla,
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title={UniVLA: Learning to Act Anywhere with Task-centric Latent Actions},
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author={Qingwen Bu and Yanting Yang and Jisong Cai and Shenyuan Gao and Guanghui Ren and Maoqing Yao and Ping Luo and Hongyang Li},
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journal={arXiv preprint arXiv:2505.06111},
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year={2025}
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}
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```
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