yinchenghust/simplememvla_libero

Model

SimpleMemVLA

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updated Sep 9, 2026

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README

SimpleMemVLA

SimpleMemVLA is a Vision-Language-Action (VLA) model for long-horizon robot manipulation with a native-video memory mechanism. It keeps the sampled history intact and processes it as timestamped video through the backbone, using the hidden states of a generated sub-task to condition a flow-matching action head.

Paper: SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

Project page: https://huggingface.co/collections/yinchenghust/simplememvla

Code: https://github.com/wadeKeith/SimpleMemVLA

endpoints_compatible
robotics
safetensors
simplememvla
transformers