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I gave a 21M model a 6.4B-parameter lookup table. It matches a 114M dense model and runs with the table on an SSD (RX 9070)

I spent the last few weeks on a hobby research project and just made it public. The idea isn't new (product-key memory, Lample et al. 2019, and Meta's "Memory Layers at Scale"): give a model a huge table of learned vectors and let it read only a few hundred of them per token. I wanted to know what…

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Timeline · 2 reports

  1. 2026-10-06 16:59 · r/LocalLLM
    I gave a 21M model a 6.4B-parameter lookup table. It matches a 114M dense model and runs with the table on an SSD (RX 9070)
  2. 2026-10-06 16:57 · r/LocalLLaMA
    I gave a 21M model a 6.4B-parameter lookup table. It matches a 114M dense model and runs with the table on an SSD (RX 9070)

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