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# SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data
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## 🧭TL;DR
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Today, we introduce [SmolVLA](https://huggingface.co/lerobot/smolvla_base), a compact (450M), open-source Vision-Language-Action model for robotics that runs on consumer hardware.
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- Pretrained only on open-source community-shared datasets under the [lerobot](https://huggingface.co/datasets?other=lerobot&sort=trending) tag.
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- Pretrained only on compatibly licensed, open-source community-shared datasets under the [lerobot](https://huggingface.co/datasets?other=lerobot&sort=trending) tag.
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- SmolVLA-450M outperforms much larger VLAs and strong baselines such as [ACT](https://huggingface.co/papers/2401.02117) on simulation (LIBERO, Meta-World) and real-world tasks ([SO100, SO101](https://github.com/TheRobotStudio/SO-ARM100)).
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- Supports *asynchronous inference* for **30% faster response** and **2× task throughput**.
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