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Hugging Face Releases SmolVLA: A Compact Vision-Language-Action Model for Affordable and Efficient Robotics
Despite recent progress in robotic control via large-scale vision-language-action (VLA) models, real-world deployment remains constrained by hardware and data requirements. Most VLA models depend on transformer-based backbones with billions of parameters, resulting in significant memory and compute costs. This limits experimentation to well-resourced labs and clouds, excluding practitioners working with lower-cost hardware. Additionally, much of…
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