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MemT-1.0 paper introduces memory foundation models with internalized memory

The paper presents MemT-1.0-Nano and MemT-1.0-Flash, trained on 34B tokens. At 128K tokens, Nano reports about 1.86x end-to-end inference speedup and a 66x reduction in persistent storage versus full context KV cache.

1outlet ran itRead at r/LocalLLaMA
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Claude How

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  1. r/LocalLLaMACommunityLead

    [Paper] MemT-1.0: Towards Memory-Native Evolution

    By /u/pmttyji

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