Good catch that's a real gap. The KV estimate is GQA/MQA-aware (per-model head config) but currently assumes dense full-context attention; it does not model sliding-window / chunked attention, so for SWA models like Mistral or Gemma at long context it over-estimates KV. The error is conservative — it tells you a model needs more than it does, not less, so it won't push you into an OOM — but it's still wrong. I'll open a tracking issue with per-architecture window sizes; if you have a reference for the exact SWA configs you care about it'll speed the fix. This is the kind of report I posted for.