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2-Bit KV Cache Slashes Memory Bandwidth

This story is from 2026-10-11. It is preserved in the archive; the latest stories are on the live feed.

WUSH‑KV stores each key/value element in 2 bits while achieving perplexities comparable to or better than other quantized methods, and close to full‑precision performance. The trick is a data‑adaptive linear transform for keys and a value transform that is folded directly into the model’s weight ma…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-10-11 05:00 · DEV Community — Machine Learning
    2-Bit KV Cache Slashes Memory Bandwidth

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