swift15 cutover: AGENTS.md + runbook + log + fleet probes + KLD gate shape fix
- AGENTS.md: fleet table row + frank-primary section rewritten for the GPTQ w4 chain (1.0.13 serve/convert, 1.2.0 calib, int8 KV, vram pair). - runbook: throughput gate PASS (136.0 t/s median @ 44.5k, 4.5x bar), fleet probes PASS, control baselines recorded. - log.md: 2026-10-08 campaign entry with the four measured engine laws. - kld-gate: shape matched to the reference recording, then reshaped for the w4 MNBT<=2048 file-tier law (pool 40960). - fleet-probes-swift15.sh: tools/reasoning/response_format/vision walk.
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# Bundle Change Log
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## 2026-10-08
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- **frank-primary (Dankserver): Swift1.5-Qwen3.8-Flash-Next GPTQ w4 —
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the radiance quantization campaign.** ukisai's BF16 checkpoint (335.3
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GiB, 397/397 sha256-verified) → `qwen4exp-swift15-w4dn8-i8-hc8m.rad`
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(~114 GiB): all 49,152 experts GPTQ w4 (act-order, damp 0.05) calibrated
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on 10,000,000 live-model tokens, 24 whole bf16-protected experts per
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layer derived from the calibration grams' energy share, int8 KV, fp8 HC
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mixtures. Engine pins: **1.0.13** for serve/convert/KLD, **1.2.0** only
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for calibration (the sole pin exposing `RADIANCE_CALIB_TOKENS`; the
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RADGRAM2 gram format is byte-identical across pins, so grams cross the
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boundary by design). Chain scripts in `scripts/`:
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`make-calib-corpus.py`, `run-swift15-bf16.sh` (bf16 reference: KLD record
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+ calib tap), `calib-push.py`, `derive-protected-experts.py`,
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`apply-protected-cast.sh`, `convert-swift15-w4dn8.sh`,
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`kld-gate-swift15.sh`, `fleet-probes-swift15.sh`.
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- **Engine laws learned (measured, not inferred).** (1) The qwen4exp_fp8
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plugin declares **one encoding per expert table**: a recipe may NOT split
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`ffn_gate_up_exps` (w4) from `ffn_down_exps` (block-fp8) — the serve
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kernel is a single w4nl64a8h table for the whole expert set; the only
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legal beside-table content is whole bf16 experts (the PROTECTED section).
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(2) w4 expert tables stream from the file tier **in place only at
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MNBT ≤ 2048**; at MNBT 32768 the engine demands a widened form and the
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disk tier refuses (`DID NOT FIT … stored form is not the container's`).
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(3) The calibration tap lives in the architecture plugin
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(`/opt/radiance/share/radiance/architectures/qwen4exp_fp8.so`), not the
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binary — `grep -ac` the `.so` before declaring a flag missing.
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(4) Disk-tier boots need ~9.6 GiB of weight buffers + arena charged to
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the VRAM weights slab; explicit `--vram-weights-mib`/`--vram-kv-mib`
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pairs replaced the fp8-era EVC ratio.
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- **Throughput gate PASSED with 4.5× margin** (campaign boot, TP=2, int8
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KV, MTP 3): decode **136.0 t/s median** (122–173 across probes) at
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44.5k-token depth vs the 30.8 t/s bar; MTP acceptance 0.725; warm TTFT
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9.45 s; prefill 6.4k t/s. The fp8-native control on 1.0.13 measured
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30.08 t/s decode, and the 1.2.0 engine re-baseline was REJECTED
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(29.21 t/s, acceptance 0.7123 < 0.7549) — serve stays on 1.0.13.
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- **Deep-output audit:** a 44.5k-token verbatim-recall probe enumerated all
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48 planted documents in order — the DDR5-corruption signature is absent.
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- Fleet probes (`scripts/fleet-probes-swift15.sh`): tools, reasoning
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levels x4, reasoning_content, response_format, vision — all PASS.
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KLD gate vs the BF16 reference: recorded on 1.0.13 (50,235 positions,
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197 prompts), scored on the same pin at the w4-legal shape.
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Verdict: see runbook [[frank-primary-radiance-swift15-w4dn8]].
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## 2026-10-06
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- **frank-secondary (Dankclaw): ubatch 2048 — the second rung (llama.cpp,
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