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DeepVK's USER2 Beats 7B Models at Russian Search With Just 149M Parameters

DeepVK's new Russian sentence encoder packs 8,192-token context and Matryoshka embeddings into a 149M-parameter model that rivals systems 4x its size.

DeepVK's USER2 Beats 7B Models at Russian Search With Just 149M Parameters
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AlphaSignal
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DeepVK's new Russian sentence encoder packs 8,192-token context and Matryoshka embeddings into a 149M-parameter model that rivals systems 4x its size.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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