#!/usr/bin/env bash # kld-gate-swift15.sh — RUNS ON DANKSERVER. Boot the w4dn8 candidate on the # serving pin (1.0.13) in --kld-ref mode: score it against the bf16 reference # recorded by run-swift15-bf16.sh kld, on the held-out 1.8M-token corpus. # Gate (settled design): mean KL <= 0.03 AND top-1 agreement >= 95%. # On fail the escalation is gate_up w4nl -> w5nl (+3-4 h), not a re-tune. # # Shape: the candidate's experts are ~37.6 GiB a rank at w4dn8, under the # 40960 MiB pool, so the tier is fully resident — no disk tier here; the # record scored the bf16 model at its own (disk-tier) shape, which is a # placement choice, not a numerics choice (weights resident are identical). set -uo pipefail PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e IMAGE="stilldeadcode/radiance@$PIN_1013" RAD=/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad C=swift15gate LOG=/home/dank/logs/swift15_gate.log REPORT=/home/dank/corpora/kld-cand.json MAX_KL=${FRANK_KLD_GATE_MAX_KL:-0.03} MIN_TOP1=${FRANK_KLD_GATE_MIN_TOP1:-95} restore() { sudo systemctl start frank-primary >/dev/null 2>&1 || true; } trap restore EXIT sudo systemctl stop frank-primary >/dev/null 2>&1 || true podman rm -f "$C" >/dev/null 2>&1 || true [ -d /home/dank/corpora/kld-ref ] && [ -n "$(ls /home/dank/corpora/kld-ref)" ] || { echo "no kld reference recorded" >&2; exit 1; } podman run --rm --name "$C" \ --network host --init \ --security-opt seccomp=unconfined \ --ulimit memlock=-1:-1 \ --device /dev/kfd --device /dev/dri \ -v /home/dank/models:/models:ro \ -v /home/dank/radiance-state:/data \ -v /home/dank/corpora/kld-ref:/data/kld-ref:ro \ -v /home/dank/corpora/out/kld.jsonl:/data/kld.jsonl:ro \ -v /home/dank/corpora:/out \ "$IMAGE" \ --model /models/rad/$(basename "$RAD") \ --tp 2 --placement expert_tiered --host-pool-mib 40960 \ --deterministic --gpu-headroom-mib 768 \ --num-speculative-tokens 0 \ --kv-cache-dtype fp8 --max-model-len 16384 \ --ngram-placement ram \ --override-chat-template /models/tpl.jinja \ --kld-ref /data/kld-ref --kld-corpus /data/kld.jsonl \ --vram-kv-mib 3072 --max-num-seqs 4 --max-num-batched-tokens 32768 \ --kld-out /out/kld-cand.json 2>&1 | tee "$LOG" rc=${PIPESTATUS[0]} [ "$rc" -eq 0 ] || { echo "kld run rc=$rc; log: $LOG" >&2; exit "$rc"; } python3 - "$REPORT" "$MAX_KL" "$MIN_TOP1" <<'PYEOF' import json, sys, math report, max_kl, min_top1 = sys.argv[1], float(sys.argv[2]), float(sys.argv[3]) d = json.load(open(report)) print(json.dumps(d, indent=1)[:4000]) flat = {} def walk(o, path=""): if isinstance(o, dict): for k, v in o.items(): walk(v, f"{path}.{k}" if path else k) elif isinstance(o, list): pass else: flat[path] = o walk(d) def pick(*pats): for p in pats: for k, v in flat.items(): if all(s in k.lower() for s in p) and isinstance(v, (int, float)) \ and not (isinstance(v, float) and math.isnan(v)): return k, v return None, None klk, kl = pick(("mean", "kl"), ("kl", "mean"), ("mean",)) tk, t1 = pick(("top1",), ("top", "1"), ("agreement",), ("top-1",)) t1 = t1 * 100 if t1 is not None and t1 <= 1 else t1 print(f"GATE mean_kl: {kl!r} ({klk}) <= {max_kl}? top1: {t1!r} ({tk}) >= {min_top1}?") if kl is None or t1 is None: print("GATE UNKNOWN — key names not recognised, inspect the report by hand") sys.exit(2) ok = kl <= max_kl and t1 >= min_top1 print("GATE_PASS" if ok else "GATE_FAIL") sys.exit(0 if ok else 1) PYEOF echo "report: $REPORT rows: $REPORT.rows"