KV cache translator proposal: small model reads 100K tokens, large model corrects
dreamai87 · reddit · 2026-11-03
A Reddit user shares an architecture diagram and asks whether it's worth trying: a "reusable translation network" letting a small model borrow a large model's reasoning.
The flow: offline, an "Astra — offline architect" examines both models and designs an optimized reusable cache translator, producing a small, fast neural adapter. At inference, the small model reads 100K tokens, the translator produces approximate large-model KV cache, and the large model then corrects selected representations before reasoning and answering. The author wants to explore weight/cache-level editing of SLMs using SOTA models and is soliciting community feedback.
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