WIP: P26.3 — PolarQuant KV-cache compression in the Candle inference loop #313
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Delete branch "claude/wi-019f90cb-p26-3-polarquant-kv-cache-compression-in"
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Anima work item
019f90cb-b03b-7a13-9fff-549b3b772875.Third slice of the re-scoped Phase 26. Depends on P26.2 (the Candle backend it plugs into).
Deliverable: PolarQuant KV-cache compression integrated into the Candle inference loop, targeting ~5–6× cache reduction so 7B–8B models fit on the M2.
Why it is its own slice: a custom quantisation scheme is where numerical bugs hide, and it must be independently benchmarkable and revertible. Bundling it with the backend swap (as the original WI did) makes a regression impossible to attribute — you could not tell whether Candle or PolarQuant caused a quality drop.
Acceptance:
Forward constraint: the original WI flagged an open question about whether the compression format needs special handling when serialising hidden states for remote Candle instances (Phase 39). Answer it here — even if the answer is "not applicable, hidden states are extracted pre-cache" — and record it, so Phase 39 does not rediscover it.
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