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Kyutai releases REKI, a 2.4 billion-parameter VLA model for robot tasks

Kyutai, together with Inria and École des Ponts, unveiled REKI, a vision‑language‑action model that adds cheap short‑term memory for robot manipulation.

NoteBy Published by Oossa: 1 min read

Kyutai, Inria and École des Ponts have launched REKI, a 2.4 billion‑parameter vision‑language‑action (VLA) model. REKI is trained only on publicly available data and includes a lightweight memory of its recent actions. On three out‑of‑distribution benchmarks, only models roughly twice its size performed better. All model weights are publicly released.

Why it matters

Robotics developers can now use an openly available, memory‑enabled model without needing massive proprietary datasets.

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