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Joined October 2020
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You can run your own model-sharing site locally tonight: accounts, uploads, browsing, and comments on customizations people share:
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osp.fyi/civitai
What if an LLM could carry useful history forward with a fraction of the storage?
MemT 1.0 brings persistent, updatable memory into the model’s own computation, with Mixture-of-Storage to scale native memory capacity.
At 128K tokens of history, the team reports that MemT 1.0-Nano delivers approximately:
1.86× faster end-to-end inference
66× lower persistent storage
Compared with full-context KV cache. For developers, that means less waiting and a smaller persistent memory footprint in this evaluation, a compelling direction for applications with long interaction histories.
The model family includes Nano and Flash. Explore the release:
huggingface.co/collections/M…
Can large language models retain information from past interactions and reuse it in the next task?
Introducing MemT-1.0: Towards Memory-Native Evolution.
This time, we've built memory directly into the model architecture.
Our MemT-1.0-Nano and MemT-1.0-Flash make persistent memory part of model computation, carrying information across interactions.
