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Kyutai releases REKI, a 2.4B vision-language-action model for robot manipulation

Original titleMeet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation

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MarkTechPost
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4/5

Summary

Kyutai, in partnership with Inria and École des Ponts, released REKI, a 2.4B vision-language-action model for robot manipulation. Pretrained only on public data, it includes efficient memory of recent actions and outperforms larger models on three out-of-distribution benchmarks.

Also reported by 1 outlet

Original excerpt

Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past. On three out-of-distribution benchmarks, only models about twice its size beat it. All weights are live on […] The post Meet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation appeared first on MarkTechPost.

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