governance: bench is removed from the model-swap procedure

Model changes verify by driving the live service — boot ledger, per-request timings, one real request per harness role. No bench window is ever scheduled for a swap. The stop-and-mask policy stays for deliberate standalone bench windows (it is host protection, not a swap step). Codified in AGENTS.md (policy lead + summary row), Model Swap and Rollback (No bench step law, §8 close-out source, Related rescope).
2026-10-15 03:07:46 -07:00
24 changed files with 334 additions and 1069 deletions
@@ -25,9 +25,9 @@ merge absorbed the former `vllmScripts` repo, history preserved).

 | Target | Service | Runtime | Model | Port |
 |--------|---------|---------|-------|------|
-| Dankserver | `frank-archon` | **radiance** (StillDeadcode, **pin 1.0.13** digest-pinned `stilldeadcode/radiance@sha256:4c3f484564…`, plain `podman run`, root systemd unit) | **Publisher payload** (swap 2026-10-15, MODEL_FILE-only): `StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe` → **`qwen3.8-next-flash-fp8-iq4r-moe.rad`** (121,969,901,568 B = **116,322 MiB**, Hub-LFS sha256 `0af5e962…` verified at fetch by `scripts/download-frank-archon-iq4r.sh`) — the OFFICIAL Qwen3.8-Flash-Next bf16 checkpoint rad-converted by the engine's author: routed experts as **4-bit codes into a 16-level non-uniform codebook** (128-pt Walsh–Hadamard rotation, GPTQ on a 10M-token calibration + 3 coordinate-descent sweeps, E4M3 scales per 64 weights), **10 whole bf16-protected experts/layer**, int8 W8A8 trunk/lm_head, fp8 HC mixtures, fp8 fixed-scale PLE n-gram (47.7 GiB), **MTP head + bf16 vision tower in the container**; card KL 0.0789 mean all-tokens / top-1 92.85 % vs BF16. **Base-alignment (censored) model** — the abliterated family lives on frank-dragoon. Shape carried VERBATIM from the 2026-10-13 record: **3 × 200,000 fp8-KV** (`--max-num-seqs 3`), **25,600 MiB slab + 5,120 MiB pool = 30,720 of the 30,969 MiB claimable**, 44 GiB/rank pinned host pool, PLE pinned to RAM, MTP depth 2, MNBT 2048, Froggeric v22.5 template. Decode/prefill ladders in the runbook are the **w4dn8 record** (the bar to beat; new-payload probes pending). Rollback: revert the swap commit (w4dn8 `.rad` on disk); the fp8-native `.rad` + the raw Swift1.5 BF16 source were DELETED from disk 2026-10-15 (Frank's one-time rm, volume for this payload; rebuildable via the fetch/build scripts). | 7770 |
+| Dankserver | `frank-archon` | **radiance** (StillDeadcode, **pin 1.0.13** digest-pinned `stilldeadcode/radiance@sha256:4c3f484564…`, plain `podman run`, root systemd unit) | ukisai/Swift1.5-Qwen3.8-Flash-Next BF16 (335.3 GiB, 397/397 sha256-verified) converted by `scripts/convert-swift15-w4dn8.sh` to `qwen4exp-swift15-w4dn8-i8-hc8m.rad` (**116,416 MiB**): **all 49,152 experts GPTQ w4** (10M-token calibration on engine 1.2.0) + **24 whole bf16-protected experts/layer** (energy-share law), int8 trunk/lm_head, fp8 HC, PLE n-gram fp8 fixed-scale, on **BOTH R9700s TP=2** (`--tp-wire wht6`), experts in a **44 GiB/rank pinned host pool** + VRAM cache (`--placement expert_tiered`, explicit `--vram-weights-mib 25600 --vram-kv-mib 5120` = 30,720 of the **30,969 MiB** the engine's own budget table makes claimable: card 32,624 MiB, settle floor 209 MiB), **47.7 GiB n-gram copy pinned to host RAM** (`--ngram-placement ram`; root unit + `LimitMEMLOCK=infinity`), **fp8 KV** (pool 5,120 MiB = the 3-slot contract + 1.3 % — the only dtype that funds 3 × 200,000 without gutting the slab, since bf16 bills 13.8 KiB/token), **MTP spec decode depth 2**, `--max-num-seqs 3` (the capacity contract is 3 × 200,000; 3 × (1+2) = 9 all-reduce rows, inside the 25-row wht6 exactness bound), `--max-model-len 200000`, MNBT 2048, Froggeric v22.5 template. KLD-gated (mean KL 0.0131, top-1 97.92 % vs BF16); decode ~190 t/s live (gate bar 30.8); prefill is **slab-limited and pays for it** — 22,208 → 3,397, 24,000 → 3,290, 25,600 → **3,584** t/s at 43.5k single-stream, 3-way 197k aggregate 3,051 → **3,589** t/s, with a cliff at ~26 GiB (26,071 → 4,379). Cutover 2026-10-08 from fp8-native (payload on disk = rollback); 3-slot fp8-KV shape 2026-10-13, re-cut twice in the slab's favour (22208/6912 at 4 slots → 24000/5120 → 25600/5120); the 4-slot shape (22208/6912, `--max-num-seqs 4`) is the documented rollback. | 7770 |
 | Dankclaw | `frank-dragoon` | **halogen-flash-server 0.16.2** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`, digest-pinned, plain `podman run` via `scripts/serve-frank-dragoon.sh`, root systemd unit) | Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated **`qwen38-flash-next-v2-swift15-abliterated.hgn`** (66,687,678,464 B = compacted r2 of the card's 89,775,868,032 B original, ~62 GiB resident; the v2 `.hgn` format loads in NO other engine), **+ REQUIRED `qwen38-flash-next-ngram.hgn`** (51,200,246,144 B, peonist @5cc17cea — read beside the checkpoint) **+ vision tower** (897,916,416 B, @e053f488 — **vision ON**, `image_url` parts only, ≥256 px probes), **MTP spec decode ALWAYS-ON (`HALOGEN_SPEC_ADAPT=0` — the adaptive default disables the drafter per request and HALVES decode)**, MTP head INSIDE the checkpoint (`HALOGEN_MTP_HEAD` unset; no sidecar fetched), **2 slots × 262,144 ctx** (KV pool 524,288 positions ≈ 14.0 GiB at ~28 KiB/position; the 27B slots>1-disables-drafting law does NOT carry over — batching and speculation coexist, the card's quickstart ships 2 with the head), harness window 217,088 = ceiling − 45k estimate headroom, **server-side sampler 1.0/0.95/20** (card recipe; models.yml extraBody matches), coupled cap/timeout 65536/7200, prompt cache ON by default (warm 100k turn ≈ 2 s vs ≈ 88 s cold)|7770|
-| Dankclaw | `frank-zealot` | **llama.cpp PrismML fork build** (vendor release `0.2.0-dev` build **10754**, commit `2459f68b5`; root systemd unit, relinked — the ONLY loader for this payload) | `prism-ml/Ternary-Bonsai-2-27B-gguf` **PQ2_0** (7,206,168,928 B, sha256 `3907dc16…`; `qwen35` hybrid: **64 blocks, 16 full-attention + 48 Gated DeltaNet**, 4 KV heads × 256 dim, vocab 248,320, native 262,144, **no MTP head in the file**; `general.file_type 141` = custom tensor type **142** + `prism.hadamard.*` dequant metadata, which is what locks the runtime) + the publisher's own **Q8_0 mmproj** (629,246,976 B; Qwen3-VL tower, 27 blocks, 768 px, `qwen3vl_merger`) for **vision**, on the RTX 3090, **TWO 200,704-token slots** (`--ctx-size 401408 --parallel 2`), **q8_0 K + q8_0 V** under flash attention (34 KiB/token over the 16 full layers = 13,328 MiB pool; **f16 KV needs 25,088 MiB and cannot boot this card**), batch 4096 / **ubatch 2048** (measured CUDA optimum), `--log-verbosity 4`, **MTP OFF** (no head in the file). Boot 22,664 used / 1,461 free; 76.6 t/s single-stream decode, 691.7 t/s prefill at 166k. Cutover 2026-10-17 from Qwen3.5-9B-Uncensored Q6_K (same shape; payload + master CUDA build on disk as rollback). |
+| Dankclaw | `frank-zealot` | llama.cpp master (0.5.0-dev, commit `5fc4f3c`), CUDA sm_86 build (root systemd unit, relinked) | HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive **Q6_K** (7,359,259,008 B; dense `qwen35` hybrid: 32 layers, 8 full-attention + 24 Gated DeltaNet, 4 KV heads × 256 dim, vocab 248,320, native 262,144, **no MTP tensors in the file**) + the publisher's own **BF16 mmproj** (921,704,448 B) for **vision**, on the RTX 3090, **TWO 200,704-token slots** (`--ctx-size 401408 --parallel 2`), **exact f16 K + f16 V** under flash attention (32 KiB/token over the 8 full layers = 12.25 GiB pool), batch 4096 / **ubatch 2048** (measured CUDA optimum), `--log-verbosity 4`, **MTP OFF** (forced: no `nextn` tensors exist). Priced from the MiMo Q6_K boots (same geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279 at 2048. Cutover 2026-10-07 (late) from Gemma4-26B-A4B Q4_K_M 1×200,704. All three endpoints route harness **compaction** here. | 7771 |

 Retired endpoints (`frank-npu`, and every prior runtime) are in
 the [runbook index](#runbook-index). The full swap history lives in
@@ -226,6 +226,13 @@ archive.

 ## Benchmarking Policy (MANDATORY)

+**Benchmarking is NOT part of the model-swap procedure** (2026-10-15). A
+model change is verified by driving the live service — boot ledger,
+per-request `timings`/`Server-Timing`, one real request per harness role
+(`serverAppConfigs-docs/LLM/Model Swap and Rollback.md` §6/§8). No bench
+window is scheduled for a swap, ever. The rest of this policy governs
+*deliberate* bench windows (flag A/Bs, shape sweeps), which are separate
+operations on a live host:
 **STOP the production service BEFORE benchmarking** — these servers serve
 real users, and a bench beside a live service starves the GPU and corrupts
 results. Use the runtime's own harness: `llama-bench` for the llama.cpp
@@ -429,122 +436,101 @@ Rollback: revert the swap commit and redeploy — the 27B payload
 halogen 0.1.4 image digest all remain on disk; the ROCmFPX door behind
 that (`scripts/build-rocmfpx.sh`, pin `36e9acd`) is untouched.

-### frank-zealot — llama.cpp (PrismML fork) on the RTX 3090 (Dankclaw, ACTIVE)
+### frank-zealot — llama.cpp on the RTX 3090 (Dankclaw, ACTIVE)

-**The PrismML fork build of llama.cpp** (vendor release, `--version` =
-`0.2.0-dev (build 10754, commit 2459f68b5)`;
-`/home/dank/GitPackages/llama-prism/llama-server`) as a **root systemd unit**
+**llama.cpp master** (0.5.0-dev, commit `5fc4f3c`; CUDA sm_86 build
+`/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server`,
+`GGML_CUDA_FA_ALL_QUANTS=ON`) as a **root systemd unit**
 (`scripts/frank-zealot.service`, `relink_unit`ed into
-`/etc/systemd/system/`), serving `prism-ml/Ternary-Bonsai-2-27B-gguf` at
-**PQ2_0** (7,206,168,928 B, sha256 `3907dc16…` = the Hub LFS oid) **plus the
-publisher's own Q8_0 mmproj** (629,246,976 B), both
-`/home/dank/models/Bonsai2-PQ2_0/`, on port 7771. Cutover 2026-10-17 from the
-Qwen3.5-9B-Uncensored Q6_K era (same shape).
+`/etc/systemd/system/`), serving
+`HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive` at **Q6_K**
+(7,359,259,008 B, sha256 `c0ba7beb…` computed locally — the Hub carries no
+LFS oid) **plus the publisher's own BF16 mmproj** (921,704,448 B), both
+`/home/dank/models/Qwen35-9B-HauhauCS-Q6K/`, on port 7771. Cutover
+2026-10-07 (late) from the Gemma4-26B-A4B Q4_K_M 1×200,704 shape (same day).

-**The runtime is part of the payload identity.** The file is
-`general.file_type 141` (PQ2_0, 2.13 bpw, group 128) with **402 tensors of the
-custom GGML type 142** plus `prism.hadamard.*` metadata (normalized
-Sylvester–Walsh transform, block 1024, 401 named weights, inverse on
-`token_embd`, `gdn_v_grouped`). Stock llama.cpp refuses type 142 at load, and a
-loader that ignored the Hadamard metadata would dequant wrongly — same lock class
-as the ROCmFPX era. Retargeting the payload without the fork ships an endpoint
-that cannot load, so the seam pins both paths.
+**Architecture: qwen35 dense hybrid** — read from the GGUF's own header, not
+the model card: 32 layers, `full_attention_interval = 4` ⇒ **8 full-attention
+layers (3, 7, 11, …, 31) + 24 Gated DeltaNet linear layers**, 16 attention
+heads / **4 KV heads** × 256 dim, `ssm` conv_kernel 4 / state_size 128 /
+group_count 16 / time_step_rank 32 / inner_size 4096, native 262,144, vocab
+248,320. Tensor types are Q6_K × 250 + F32 × 177 — standard quants only, so
+the stock master build loads it (arch `qwen35` is registered in this build's
+`src/llama-arch.cpp`). **KV accounting:** the pool scales with the 8 full
+layers only — 8 × 4 × 256 = 8,192 elements/token per cache, so f16 K + f16 V
+bills **32 KiB/token** = 12.25 GiB at the 401,408 pool; the 24 DeltaNet
+layers bill a fixed recurrent state per SLOT, not per token, which is exactly
+why two 200k slots fit where the 26B MoE fit one.

-**Architecture: qwen35 hybrid** — read from the GGUF's own header: **64
-blocks**, `full_attention_interval = 4` ⇒ **16 full-attention + 48 Gated
-DeltaNet layers**, 24 attention heads / **4 KV heads** × 256 dim, embedding
-5,120, ffn 17,408, `ssm` conv_kernel 4 / state_size 128 / group_count 16 /
-time_step_rank 48 / inner_size 6,144, native 262,144, vocab 248,320. **KV
-accounting:** the pool scales with the 16 full layers — 16 × 4 × 256 = 16,384
-elements/token per cache, so **q8_0 K + q8_0 V bills 34 KiB/token** = 13,328
-MiB at the 401,408 pool (ledger-confirmed to the MiB), while **f16 KV needs
-25,088 MiB and cannot boot on a 24,123 MiB card** (measured `cudaMalloc` OOM).
-The 48 DeltaNet layers bill a fixed recurrent state per SLOT — ~150 MiB each —
-so pool arithmetic alone under-prices the shape.
-
-**The shape (2026-10-17):** `--ctx-size 401408 --parallel 2` = TWO
+**The shape (2026-10-07):** `--ctx-size 401408 --parallel 2` = TWO
 conversations of 200,704 (Frank's cap; the harness `contextWindow` quotes
-the per-slot number), `--flash-attn on`, **q8_0 K + q8_0 V**, batch 4096 /
-**ubatch 2048** (the measured CUDA optimum carried from the MiMo/Swift A/Bs on
-this card), `--log-verbosity 4`, `--mmproj` for vision, **speculative decoding
-OFF** (`SPEC_TYPE=none`). Boot: **22,664 MiB used / 1,461 free**; the
-projection (21,439) excludes the projector's 873.10 MiB worst-case, which
-lands AFTER the fit check — read settled `nvidia-smi`, never the projection.
-Measured: 76.6 t/s single-stream decode (the 9B ran 94.4), 1,258 t/s prefill
-at 35k, 691.7 t/s at 166k, 109.4 t/s aggregate across two concurrent streams.
-The **first request after boot is a warmup artifact** (2.6 t/s prefill / 37.7
-t/s decode measured) — never report it.
+the per-slot number), `--flash-attn on`, **f16 K + f16 V** (exact KV),
+batch 4096 / **ubatch 2048** (the measured CUDA optimum: +4.6 % prefill,
+decode flat, 616 MiB — MiMo-era A/B on this card), `--log-verbosity 4`,
+`--mmproj` for vision, **speculative decoding OFF** (`SPEC_TYPE=none`).

-**Why MTP is off**: the PQ2_0 export carries no MTP head (upstream ships a
-separate `…-CRACK-MTP-GGUF`, +451 MB, for that), and MTP is a property of the
-file, not of the flags.
+**Why MTP is off**: it is not a choice — **this Q6_K file carries no
+`nextn`/`mtp` tensors** (verified from the tensor-name list), and MTP is a
+property of the file, not of the flags. The publisher card advertises "MTP
+support" for the base architecture; the quantized export dropped the head.

-**Vision**: the publisher's own Q8_0 mmproj via `--mmproj` (Qwen3-VL tower: 27
-blocks, 768 px, patch 16, merge 2, `qwen3vl_merger`, deepstack). Probe traps
+**Measured boots** (nvidia-smi, the referee): the deployed boot is
+**21,436 used / 2,689 free** (ubatch 2048) — the pricing boots were the
+MiMo-V2.6-Distill-Qwen-9B pair at this exact geometry (**21,276 / 2,849** at
+ubatch 1024, **21,846 / 2,279** at 2048), so the 415 MiB lighter weights
+bought back what the projection predicted. The engine ledger confirms the KV
+law to the MiB: `CUDA0 KV buffer size = 12544.00 MiB` (`K (f16): 6272.00`,
+`V (f16): 6272.00`), compute buffers 1,136 MiB on CUDA0 + 848 MiB host, the
+mmproj 879 MiB + 248 MiB. Decode is ubatch-invariant (Swift-era 3090 law). The
+Q6_K rung costs ~10 % decode vs Q5_K_M (weight bandwidth; MiMo-measured 94.4
+vs 104.8 t/s).
+
+**Vision**: the publisher's own BF16 mmproj via `--mmproj` (the model is
+natively multimodal; the Q6_K file carries no vision tensors). Probe traps
 carry over: ≥256 px probe images or the model answers "video", and only the
-OpenAI `image_url` content part reaches the model. **New trap:** thinking
-tokens count against `max_tokens`, so a vision probe at 64 tokens returns
-EMPTY `content` with `finish_reason: "length"` — budget ≥512 or the endpoint
-looks blind while it is only mid-thought.
-
-**Base alignment**: Bonsai-2 is the censored BASE lineage (the 9B it replaced
-was uncensored). The CRACK re-export on disk
-(`/home/dank/models/Bonsai2-CRACK/`, header census proves byte-identical
-geometry) is a one-line `MODEL_FILE` swap if a refusal ever surfaces.
+OpenAI `image_url` content part reaches the model.

 **Compaction hub**: `models.yml` routes `compactionModel` for
 `frank-archon`, `frank-dragoon` and `frank-zealot` (the 3090 endpoint) here — 200,704 is the
 only window in the fleet that fits a worst-case compaction input (~170k
 tokens). With `--parallel 2` a compaction request no longer serializes behind
-a live generation (the Gemma4 era's `--parallel 1` law). Retrieval through a
-25,960-token prompt was verified exact after the swap.
-
-**Contract law learned at verbosity 4:** a raw `/completion` request prints
-`failed to parse reasoning content (… parse_reasoning=true)` whenever the
-model closes a bare prompt with `` — cosmetic
-(`probe_request.cpp:789`); the `/v1/chat/completions` path parses
-`reasoning_content` correctly, which is the only path consumers use. Do not
-lower `VERBOSITY` to silence it: the KV/buffer ledger is what VRAM forensics
-read.
+a live generation (the Gemma4 era's `--parallel 1` law).

 Runbook:
-`serverAppConfigs-docs/LLM/frank-zealot-llama-prism-bonsai2-pq20.md`.
-Rollback: revert the swap commit — the Qwen3.5-9B Q6_K payload
-(`/home/dank/models/Qwen35-9B-HauhauCS-Q6K/`) with the master CUDA build
-(`~/GitPackages/llama-master/build-cuda/`), the Gemma4 payload
+`serverAppConfigs-docs/LLM/frank-zealot-llama-qwen35-9b-q6k-2x200704.md`.
+Rollback: revert the swap commit — the Gemma4 payload
 (`/home/dank/models/Gemma4-26B-A4B/`), the MiMo Q6_K payload
 (`/home/dank/models/MiMo-Q6K/`), the Swift payload
 (`/home/dank/models/Swift15-UncIQ3XXS/`) and the Ornith Q8_0 payload
 (`/home/dank/models/Ornith-Q8/`) all remain on disk.


-### frank-archon — Radiance (StillDeadcode), publisher Qwen3.8-Flash-Next iq4r, TP=2 (Dankserver, ACTIVE)
+### frank-archon — Radiance (StillDeadcode), Swift1.5-Qwen3.8-Flash-Next GPTQ w4, TP=2 (Dankserver, ACTIVE)

 The **radiance engine** (StillDeadcode, Apache-2.0; image
 `stilldeadcode/radiance@sha256:4c3f484564…` digest-pinned, **pin 1.0.13**
-for serve; `libr4d` gfx1201 kernels, plain `podman run`, root
-systemd unit, container name = unit name) serving the
-**publisher's container of the official Qwen/Qwen3.8-Flash-Next**:
-`StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe` →
-`qwen3.8-next-flash-fp8-iq4r-moe.rad` (116,322 MiB, Hub-LFS sha256
-verified at fetch by `scripts/download-frank-archon-iq4r.sh`; recipe
-`qwen4exp-w4nl64-i8-hc8m`): **routed experts as 4-bit codes into a
-16-level non-uniform codebook** after a 128-point Walsh–Hadamard rotation
-(E4M3 scale per 64 weights; codes by GPTQ on a 10M-token calibration with
-per-expert down-proj Hessians, refined by 3 coordinate-descent sweeps),
-**10 whole bf16-protected experts/layer**, **int8 W8A8 trunk/lm_head**
-(scale per 128 columns searched), **fp8 HC mixtures**, PLE n-gram table at
-fp8 fixed scale (47.7 GiB), **MTP head and bf16 vision tower in the
-container**. Card quality (full-vocab teacher-forced KL vs bf16, ~75K
-positions): mean 0.0789 all-tokens / 0.0239 assistant turns, top-1 92.85 %.
-**MODEL_FILE is the only serving argument that moved** (2026-10-15); every
-number of the 2026-10-13 shape below carries verbatim. The plugin's
-**one-table-one-encoding law** (fleet-measured at rad-convert declare):
-one expert table takes ONE encoding; only whole bf16 experts are legal
-beside it. Rollback: revert the swap commit — the in-house w4dn8 `.rad`
-(KLD-gated Swift1.5 conversion) stays on disk; the fp8-native `.rad` was
-deleted 2026-10-15 (rebuild: `scripts/download-frank-archon.sh` +
-`scripts/build-frank-archon-rad.sh`).
+for serve/convert/KLD; `libr4d` gfx1201 kernels, plain `podman run`, root
+systemd unit, container name = unit name) serving
+**ukisai/Swift1.5-Qwen3.8-Flash-Next (BF16, 335.3 GiB, 131 shards,
+397/397 sha256-verified)** converted by `scripts/convert-swift15-w4dn8.sh`
+with recipe `scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe` to
+`qwen4exp-swift15-w4dn8-i8-hc8m.rad` (~114 GiB): **all 49,152 experts GPTQ
+w4** (act-order, damp 0.05, 10,000,000-token calibration captured on engine
+**1.2.0** via `RADIANCE_CALIB_DIR`/`RADIANCE_CALIB_TOKENS` — the only pin
+with the token knob; the RADGRAM2 grams are format-identical across pins and
+cross the boundary by design), **24 whole experts per layer cast bf16** (the
+PROTECTED set, derived from the calibration grams' energy share),
+**int8 trunk/lm_head**, **fp8 HC mixtures** (`--hc-mix-dtype`), PLE n-gram
+table at fp8 fixed scale (47.7 GiB in the container, from 95.4 GiB bf16).
+The plugin's **one-table-one-encoding law** (measured at rad-convert
+declare): one expert table takes ONE encoding; only whole bf16 experts are
+legal beside it — no w4/fp8 split of the down/gate_up pair (24-value
+`rad_arch_quant_desc` array, one per layer). KLD gate vs the BF16
+reference (recorded on the same 1.0.13 pin) is the precision referee;
+the throughput gate (decode ≥ 30.8 t/s) was passed at 4.5× the bar
+(122–173 t/s at 44.5k depth). Measured decode/prefill in the runbook.
+Rollback: revert the swap commit — the fp8-native `.rad`
+(`qwen4exp-fp8-native.rad`) and every prior payload remain on disk.

 **Shape (both R9700s, TP=2)**: `--tp-wire wht6`, `--max-num-seqs 3`,
 `--max-model-len 200000` (the harness contextWindow must quote this),
@@ -596,8 +582,7 @@ accept 0.7246).

 **The KV dtype law (measured 2026-10-11, applied at 4 slots 2026-10-13)**:
 `--kv-cache-dtype` takes ONLY `bf16|fp8` — one dtype for the whole cache, so
-llama.cpp's exact-K/quantized-V pair (the 9B-era frank-zealot ran it; the
-Bonsai-2 swap runs q8_0/q8_0) has NO radiance
+llama.cpp's exact-K/quantized-V pair (what frank-zealot runs) has NO radiance
 equivalent; the rung under bf16 is fp8 on both halves. Measured per rank from
 the two boot ledgers: `kv_attn` (13 layers, 4-token blocks) pages 26.00 → 52.00
 KiB, while `kv_qsa_bkey` (13 layers) stays 3.25 KiB at BOTH dtypes (the QSA
@@ -652,9 +637,8 @@ chat format — no parser flags; vision native (the 27-layer Qwen-VL tower,
 `--mm-max-patches`); `/metrics` carries vLLM-compatible names +
 `radiance:*` families — the Dankclaw Prometheus scrape is re-added.

-Runbook: `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-iq4r.md`.
-Retired Swift1.5 w4dn8 era (payload on disk = rollback): `serverAppConfigs-docs/LLM/frank-archon-radiance-swift15-w4dn8.md`.
-Retired fp8-native era (payload deleted 2026-10-15, rebuildable): `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-native-fp8.md`.
+Runbook: `serverAppConfigs-docs/LLM/frank-archon-radiance-swift15-w4dn8.md`.
+Retired fp8-native era: `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-native-fp8.md`.
 Retired FreeToken era: `serverAppConfigs-docs/LLM/frank-archon-freetoken-pr587.md`.
 Retired vLLM era: `serverAppConfigs-docs/LLM/dankserver-qwen38-fp8-expert-offload-tuning.md`.
 Retired GLM experiment: `serverAppConfigs-docs/LLM/frank-archon-glm53-flash-w4a16.md`.
@@ -1042,31 +1026,6 @@ linked runbooks.
  `Unexpected reasoning effort high` until `high: xhigh` was added on
  2026-09-16. Halogen accepts the wider set, so the two entries legitimately
  differ.
- **The vision projector is NOT billed in llama.cpp's own fit check.** The
-  engine prints `[mtmd] estimated worst-case memory usage of mmproj is
-  873.10 MiB` and then fits WITHOUT it: frank-zealot's Bonsai-2 boot projected
-  21,439 MiB and settled at 22,664 (2026-10-17). Price a 3090-class shape from
-  settled `nvidia-smi` after a real boot, never from
-  `model + context + compute` — the projector (and any drafter context) lands
-  after `/health` would already have answered. Same failure class as the
-  DSpark drafter OOM.
- **The FIRST request after a boot is a warmup artifact.** Measured on
-  Bonsai-2/3090: 2.6 t/s prefill and 37.7 t/s decode on request #1, then
-  1,258 t/s prefill and 54.7 t/s (per stream, two concurrent) on the next — a
-  3× spread on the same shape. Benchmark the second request or later, or the
-  graph-capture cost reads as a model fault.
- **Thinking tokens count against `max_tokens`, so a short-budget vision probe
-  reads as blindness.** The Bonsai-2/`image_url` probe at `max_tokens: 64`
-  returned `content: ""` with `finish_reason: "length"` and half a thought in
-  `reasoning_content` — the image HAD reached the model (322 prompt tokens vs
-  42 for the text alone). At 512 tokens the same image answers "Red". Budget
-  ≥512 for any thinking model you probe for vision.
- **Quantized KV is not the only dtype law a fork build can hide.** Vendor
-  builds carry their own compile options: frank-zealot's PrismML prebuilt
-  served `--cache-type-v q8_0` under flash attention at the exact 34,816
-  B/token (the `GGML_CUDA_FA_ALL_QUANTS` door), so a build decision must be
-  proven by the KV buffer line in the boot ledger, not by the build flags you
-  remember passing.

 **Ops**

@@ -1138,8 +1097,8 @@ Active:
 | Service | Runbook |
 |---------|---------|
 | frank-dragoon (flash-server 0.16.2, abliterated Swift1.5 v2 .hgn + MTP always-on, 2×262,144, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-dragoon-flash-server-v2-swift15.md` |
-| frank-zealot (llama.cpp PrismML fork, Bonsai-2-27B PQ2_0, 2×200,704 q8_0 KV MTP-off, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-zealot-llama-prism-bonsai2-pq20.md` |
-| frank-archon (radiance StillDeadcode, publisher Qwen3.8-Flash-Next iq4r .rad, 2×R9700 TP=2, Dankserver) | `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-iq4r.md` |
+| frank-zealot (llama.cpp CUDA, Qwen3.5-9B-Uncensored Q6_K, 2×200,704 exact f16 KV MTP-off, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-zealot-llama-qwen35-9b-q6k-2x200704.md` |
+| frank-archon (radiance StillDeadcode, Qwen3.8-Flash-Next-FP8 native, 2×R9700 TP=2, Dankserver) | `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-native-fp8.md` |
 | Dankclaw kernel posture (`amd_iommu=off`) | `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md` |
 | Deployment flow + incidents | `serverAppConfigs-docs/LLM/deployment.md` |

@@ -1147,8 +1106,6 @@ Retired (rollback targets and history):

 | Runtime | Host | Window | Runbook |
 |---------|------|--------|---------|
-| radiance Swift1.5-Qwen3.8-Flash-Next GPTQ w4dn8, 3×200,000 fp8-KV slab 25600 (`frank-archon`) | Dankserver | 2026-10-08 → 10-15 (rollback target — `.rad` on disk; owns the slab-slope ladder, KV dtype law, KLD campaign, and every shape law the iq4r swap carried verbatim) | `frank-archon-radiance-swift15-w4dn8.md` |
-| llama.cpp CUDA (master) Qwen3.5-9B-Uncensored Q6_K, 2×200,704 exact f16 KV MTP-off (`frank-zealot`) | Dankclaw | 2026-10-07 → 10-17 (rollback target — payload + master CUDA build on disk; owns the 32 KiB/token 8-full-layer KV law and the 2→3-slot reslice law) | `frank-zealot-llama-qwen35-9b-q6k-2x200704.md` |
 | llama.cpp CUDA Gemma4-26B-A4B QAT Q4_K_M, 1×200,704 f16-K/q8_0-V MTP-off (`frank-zealot`) | Dankclaw | 2026-10-07 → 10-07 (same-day swap; rollback target — payload on disk; owns the `attention_k_eq_v` pair-billing KV law and the gemma4-assistant drafter-cost boots) | `frank-zealot-llama-gemma4-q4km-200704.md` |
 | ROCmFPX llama.cpp fork Qwen3.8-27B Uncensored Q6_0_ROCMFPX_AGENT + MTP (`frank-dragoon`) | Dankclaw | 2026-10-03 → 10-05 (rollback target, payload + fork build on disk) | `frank-dragoon-rocmfpx-q6agent-uncensored-mtp.md` |
 | tcclaviger vLLM fork Qwen3.8-Flash-Next-Uncensored FP8, TP=2, shape G (`frank-archon`) | Dankserver | 2026-09-29 → 10-05 (rollback target — tag `frank-archon-vllm-shapeG-20261003`; trio + env lore in the tag, image in rootless storage) | `dankserver-qwen38-fp8-expert-offload-tuning.md` |
@@ -1207,7 +1164,7 @@ history.
 | Unstaged local changes | **Commit or discard** — check `git status` before starting work; ask if unsure. |
 | Deploying a committed change | **`scripts/deploy.sh <target>`** — pushes, pulls ff-only, plans, dispatches, health-checks. |
 | Container without a Quadlet unit | **Give it one** — boot-persistent, self-healing `.container` via git. |
-| Benchmarking | **Stop and mask the service first**, bench, unmask, restart, verify health. |
+| Benchmarking | **Not part of a model swap** — swaps verify on the live service. A deliberate bench window: **stop and mask the service first**, bench, unmask, restart, verify health. |
 | Deleting a file | **Move it to trash** — `.AGENTTRASH/` (in-repo) or `~/.AGENTTRASH/YYYYMMDD-topic`. Never `rm`. |
 | Tests exist | **Run them** — verify tests pass after every change. Do not commit failing tests. |
 | Real secrets | **Never commit** — host `.env` files; `.env.example` holds placeholders only. |
@@ -1,16 +1,5 @@
 # Server App Configs

-### AI Disclosures:
-
- Slop rating: 2/5 - Actively using, actively de-slopping, **repository mostly human owned**, lacks formal process.
- Completeness: Unfinished, planning planned, no plan yet
- Datacenter model/spend: Less than $20 of Deepseek 4.1 Flash and GLM-5.3-Flash
- Local model: Qwen 3.8 Flash Next
-
-### slop rating of 2 or lower indicates human reading is a worthwhile exercise, and that Frank has read the code and knows the architecture.
-### slop rating of 2 indicates that while this project is human owned, no human contribution process exists and/or release is agentically driven.
-
-
 The single repository for the two homelab servers: the Podman container
 stacks **and** the LLM inference fleet. One repo, one checkout per host,
 one deploy script.
@@ -1222,26 +1222,23 @@ deploy_llm_dragoon() {
    wait_for_health frank-dragoon http://127.0.0.1:7770/health 1200
 }

-# deploy_llm_zealot — frank-zealot is llama.cpp (PrismML fork build) on the
-# RTX 3090 as a ROOT unit: the runtime is a native binary tree under
-# ~/GitPackages/llama-prism (vendor release build 10754, commit 2459f68b5 —
-# the ONLY loader that registers the payload's custom tensor type 142 and
-# reads its prism.hadamard.* metadata), so there is no container image and no
-# generated unit to avoid. relink_unit points
+# deploy_llm_zealot — frank-zealot is llama.cpp (master build, CUDA sm_86) on
+# the RTX 3090 as a ROOT unit: the runtime is a native binary tree under
+# ~/GitPackages/llama-master/build-cuda, so there is no container image and
+# no generated unit to avoid. relink_unit points
 # /etc/systemd/system/frank-zealot.service at the repo file and boot
 # persistence is that unit's [Install] section.
 #
 # It is a SEPARATE endpoint on port 7771; frank-dragoon keeps 7770. The 3090 is
 # not shared: frank-dragoon's engine runs on the gfx1151 iGPU.
-LLM_ZEALOT_MODEL_FILE="${LLM_ZEALOT_MODEL_FILE:-/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
-LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-prism/llama-server}"
-# The projector IS the vision capability here: the Bonsai-2 text file carries
-# no vision tensors, so the publisher's own mmproj (Qwen3-VL tower, 27 blocks,
-# 768 px, qwen3vl_merger, 629,246,976 B) is the whole image path — a deploy
-# that starts without it silently ships a text-only endpoint. Checked
-# unconditionally, like frank-dragoon's. Its 873.10 MiB worst-case VRAM lands
-# AFTER the engine's fit check, so it is not inside the q8_0 budget.
-LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf}"
+LLM_ZEALOT_MODEL_FILE="${LLM_ZEALOT_MODEL_FILE:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
+LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
+# The projector IS the vision capability here: the model is natively
+# multimodal and the Q6_K file carries no vision tensors — the publisher ships
+# its own BF16 projector in the same repo, so a deploy that starts without
+# this file silently ships a text-only endpoint. Checked unconditionally, like
+# frank-dragoon's.
+LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"

 deploy_llm_zealot() {
    # Refuse rather than restart-loop: a unit whose runtime or payload is
@@ -1249,15 +1246,15 @@ deploy_llm_zealot() {
    # endpoint dark with nothing in the log to say why.
    if [[ ! -x "$LLM_ZEALOT_RUNTIME" ]]; then
        echo "ERROR: llama.cpp runtime absent at $LLM_ZEALOT_RUNTIME" >&2
-        echo "frank-zealot: fetch the PrismML fork release build (build 10754," >&2
-        echo "frank-zealot: commit 2459f68b5) into ~/GitPackages/llama-prism first —" >&2
-        echo "frank-zealot: stock llama.cpp refuses the payload's custom tensor type 142." >&2
+        echo "frank-zealot: build it (cmake -B build-cuda -DGGML_CUDA=ON" >&2
+        echo "frank-zealot: -DCMAKE_CUDA_ARCHITECTURES=86 -DCMAKE_CUDA_HOST_COMPILER=/usr/bin/gcc-13" >&2
+        echo "frank-zealot: && cmake --build build-cuda --target llama-server) first." >&2
        return 1
    fi
    for f in "$LLM_ZEALOT_MODEL_FILE" "$LLM_ZEALOT_MMPROJ"; do
        if [[ ! -f "$f" ]]; then
            echo "ERROR: frank-zealot payload file absent at $f" >&2
-            echo "frank-zealot: run scripts/download-frank-zealot-bonsai2.sh first;" >&2
+            echo "frank-zealot: run scripts/download-frank-zealot.sh first;" >&2
            echo "frank-zealot: refusing to start a unit that cannot load." >&2
            return 1
        fi
@@ -1280,14 +1277,11 @@ deploy_llm_zealot() {
 }

 # deploy_llm_archon — frank-archon is the radiance engine (StillDeadcode,
-# digest-pinned stilldeadcode/radiance image) serving the PUBLISHER's
-# 4-bit-codebook container of the official Qwen/Qwen3.8-Flash-Next
-# (qwen3.8-next-flash-fp8-iq4r-moe.rad, fetched by
-# scripts/download-frank-archon-iq4r.sh) on BOTH R9700s (TP=2) as a
+# digest-pinned stilldeadcode/radiance image) serving the OFFICIAL
+# Qwen/Qwen3.8-Flash-Next-FP8 at native block-FP8 precision from the
+# rad-convert container qwen4exp-fp8-native.rad, on BOTH R9700s (TP=2) as a
 # ROOT unit whose serve script drives `podman run` directly (the engine is
 # the image entrypoint; the image lives in dank's rootless podman storage).
-# 2026-10-15 payload swap from the in-house w4dn8 (payload on disk =
-# rollback).
 # 2026-10-05 cutover from FreeToken (pre-cutover tag
 # frank-archon-freetoken-pr587-20261005); before that, the tcclaviger vLLM
 # fork (tag frank-archon-vllm-shapeG-20261003). Same port and alias; the
@@ -1296,7 +1290,7 @@ deploy_llm_zealot() {
 # Gates: the image must exist under its digest ref in dank's rootless
 # storage (FRANK_ARCHON_IMAGE), the .rad container file must exist at the
 # env's size floor (FRANK_ARCHON_MODEL_FILE >= FRANK_ARCHON_RAD_MIN_MIB —
-# a truncated fetch is a guaranteed long-timeout boot), and the unit env
+# a truncated convert is a guaranteed long-timeout boot), and the unit env
 # must be complete. Per-file sha256 verification is the fetch script's job
 # at download time and rad-convert/rad-info's job at build time, never
 # re-hashed here.
@@ -1331,13 +1325,13 @@ deploy_llm_archon() {
    fi
    if [[ ! -f "$model_dir/$model_file" ]]; then
        echo "ERROR: .rad container missing: $model_dir/$model_file" >&2
-        echo "frank-archon: run scripts/download-frank-archon-iq4r.sh --fetch" >&2
+        echo "frank-archon: run scripts/build-frank-archon-rad.sh" >&2
        return 1
    fi
    mib=$(( $(stat -c %s "$model_dir/$model_file") / 1048576 ))
    if [[ "$mib" -lt "$rad_min" ]]; then
        echo "ERROR: .rad container too small: $model_dir/$model_file is ${mib} MiB, want >= $rad_min" >&2
-        echo "frank-archon: re-fetch it (scripts/download-frank-archon-iq4r.sh --fetch; delete the staged file first if its sha256 failed)" >&2
+        echo "frank-archon: rebuild it (scripts/build-frank-archon-rad.sh --force)" >&2
        return 1
    fi

@@ -1,83 +0,0 @@
-#!/usr/bin/env bash
-# download-frank-archon-iq4r.sh — payload fetch/verify for the frank-archon
-# swap to the PUBLISHER's 4-bit-codebook container:
-# StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe — the official
-# Qwen/Qwen3.8-Flash-Next bf16 checkpoint rad-converted by the engine's own
-# author into ONE .rad: routed experts as 4-bit codes into a 16-level
-# non-uniform codebook (Walsh–Hadamard rotation, GPTQ + coordinate-descent,
-# 10M-token calibration), ten bf16-protected experts per layer, int8 trunk +
-# lm_head, fp8 HC mixtures, the PLE n-gram table at fp8 fixed scale, the MTP
-# head, and the bf16 vision tower. File:
-# qwen3.8-next-flash-fp8-iq4r-moe.rad — 121,969,901,568 B (113.6 GiB,
-# 116,322 MiB), card KL 0.0789 all-tokens / top-1 92.85 % vs bf16.
-# Repo is UNGATED — no token needed (never put one on the command line).
-#
-#   bash scripts/download-frank-archon-iq4r.sh --fetch         resume/complete
-#   bash scripts/download-frank-archon-iq4r.sh                 verify only
-#
-# Fetch uses the vendored scripts/hfget.sh (curl+jq only): per-file size
-# checks against the Hub listing, `-C -` resume, disk-fit gate. The side
-# files (LICENSE, README, the w4nl recipe) stay in the staging dir as
-# provenance; the serve gate mounts ONLY /home/dank/models/rad, so the
-# verified .rad alone moves into it.
-#
-# Verify (default) is the AGENTS.md law in two parts: the file lands at the
-# final path with the Hub's EXACT byte count, and its sha256 equals the
-# Hub's LFS oid. A truncated transfer is a guaranteed long-timeout boot
-# without this gate.
-set -euo pipefail
-
-REPO="StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe"
-RAD_NAME="qwen3.8-next-flash-fp8-iq4r-moe.rad"
-STAGE="/home/dank/models/StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe"
-DEST="/home/dank/models/rad/$RAD_NAME"
-SIZE=121969901568
-SHA256="0af5e96244e80c21ac8edca1719dae49b8a201b94a2f3994c3e24026ceaa4d20"
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-
-mode="verify"
-[[ "${1:-}" == "--fetch" ]] && mode="fetch"
-
-if [[ "$mode" == "fetch" ]]; then
-    # HFGET_JOBS=4 is hfget's default (a few streams saturate the link).
-    bash "$SCRIPT_DIR/hfget.sh" "$REPO" "$STAGE" main
-
-    staged="$STAGE/$RAD_NAME"
-    if [[ ! -f "$staged" ]]; then
-        echo "FETCH FAILED: $staged absent after hfget" >&2
-        exit 1
-    fi
-    got=$(stat -c %s "$staged")
-    if [[ "$got" != "$SIZE" ]]; then
-        echo "FETCH FAILED: staged .rad is $got B, want $SIZE B" >&2
-        exit 1
-    fi
-    echo "staged .rad byte-exact ($SIZE B); hashing (one full read, minutes)"
-    got_sha=$(sha256sum "$staged" | cut -d' ' -f1)
-    if [[ "$got_sha" != "$SHA256" ]]; then
-        echo "FETCH FAILED: sha256 $got_sha, want $SHA256 — DELETE the staged" \
-             "file before re-fetching (curl -C - cannot repair a corrupt body)" >&2
-        exit 1
-    fi
-    mkdir -p "$(dirname "$DEST")"
-    mv "$staged" "$DEST"
-    echo "payload placed: $DEST"
-fi
-
-echo "verifying deployed payload: $DEST"
-if [[ ! -f "$DEST" ]]; then
-    echo "  BAD  payload absent: $DEST" >&2
-    exit 1
-fi
-got=$(stat -c %s "$DEST")
-if [[ "$got" != "$SIZE" ]]; then
-    echo "  BAD  payload is $got B, want $SIZE B" >&2
-    exit 1
-fi
-echo "byte-exact ($SIZE B); hashing (one full read, minutes)"
-got_sha=$(sha256sum "$DEST" | cut -d' ' -f1)
-if [[ "$got_sha" != "$SHA256" ]]; then
-    echo "  BAD  sha256 $got_sha, want $SHA256" >&2
-    exit 1
-fi
-echo "payload verified: $RAD_NAME, size and sha256 match the Hub LFS oid"
@@ -1,93 +0,0 @@
-#!/usr/bin/env bash
-# Fetch candidate payload for frank-zealot: prism-ml/Ternary-Bonsai-2-27B-gguf
-# at **PQ2_0** (the ternary g128 pack stored 2 bits/trit + fp16 scale per 128)
-# plus the publisher's Q8_0 vision projector. Public repo — no auth header,
-# and never a token on the command line (world-readable in /proc/<pid>/cmdline).
-#
-# Why PQ2_0 and not PTQ1_0: measured on the same silicon family (community
-# 3090 Ti report, PrismML-Eng/Bonsai-demo) PTQ1_0 is ~17 % slower decode and
-# ~48 % slower prefill than PQ2_0 on Ampere; the model card says the same
-# (PTQ1_0 wins only on Ada/L4). The pack is consumed packed — 6.71 GiB
-# resident, never expanded to f16.
-#
-# Header facts (HTTP range parse, not the card): arch qwen35, 64 blocks,
-# full_attention_interval 4 => 16 full-attention + 48 Gated DeltaNet layers,
-# 4 KV heads x 256 dim, native 262,144, vocab 248,320, and NO nextn/mtp
-# tensors (block_count is 64 real layers) — so in-file MTP is impossible and
-# SPEC_TYPE=none is forced by the payload. 402 tensors carry the custom type
-# id 142 (GGML_TYPE_PQ2_0, group 128): STOCK llama.cpp refuses this file, and
-# loads the repo's F16 file silently with garbage output — only the
-# PrismML-Eng/llama.cpp fork applies the prism.hadamard.* activation
-# transform declared in this file's metadata.
-#
-# These ARE LFS files (unlike the HauhauCS payload): the Hub publishes the
-# oid, and both shas below are the Hub's LFS sha256. The mmproj sha has also
-# been recomputed locally against the copy in /home/dank/models/Bonsai2-CRACK/.
-#
-# NOT pinned by this script: /home/dank/models/Bonsai2-CRACK/
-# Bonsai-2-27B-PQ2_0-CRACK.gguf (7,206,168,928 B, sha256 5b24ea3eebc3e0bc...,
-# fetched 2026-10-06 by an undocumented ad-hoc path). Same size as the
-# official file, different bytes — a dealign/CRACK (uncensored) variant of the
-# same ternary pack. Provenance unverified; it is a candidate arm, not this
-# script's payload.
-#
-# Usage:
-#   scripts/download-frank-zealot-bonsai2.sh [DEST_DIR] [--verify-only]
-set -euo pipefail
-
-DEST=""
-VERIFY_ONLY=0
-for arg in "$@"; do
-    case "$arg" in
-        --verify-only) VERIFY_ONLY=1 ;;
-        *) DEST="$arg" ;;
-    esac
-done
-DEST="${DEST:-/home/dank/models/Bonsai2-PQ2_0}"
-
-# repo | hub-name | dest-name | bytes | sha256 (Hub LFS oid)
-FILES=(
-  "prism-ml/Ternary-Bonsai-2-27B-gguf|Ternary-Bonsai-2-27B-PQ2_0.gguf|Ternary-Bonsai-2-27B-PQ2_0.gguf|7206168928|3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1"
-  "prism-ml/Ternary-Bonsai-2-27B-gguf|Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf|Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf|629246976|6807ede61d570bb86ba34b756a0fa109edc33668604de867c6ea6d8f1d631903"
-)
-
-mkdir -p "$DEST"
-status=0
-for entry in "${FILES[@]}"; do
-  IFS='|' read -r repo hubname destname size sha <<<"$entry"
-  url="https://huggingface.co/${repo}/resolve/main/${hubname}"
-  f="$DEST/$destname"
-  if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]] \
-     && sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
-    echo "OK        $destname"
-    continue
-  fi
-  if (( VERIFY_ONLY )); then
-    echo "MISSING   $destname"
-    status=1
-    continue
-  fi
-  echo "FETCHING  $destname (from $repo)"
-  tmp="$f.part"
-  # No resume: `curl -C -` once produced an oversized file on a 31 GiB
-  # payload. -f/--fail-with-body so an HTTP 401/403 body is never a success.
-  curl -fsSL --fail-with-body --retry 3 --retry-delay 5 -o "$tmp" "$url"
-  mv "$tmp" "$f"
-  if [[ "$(stat -c%s "$f")" != "$size" ]]; then
-    echo "SIZE FAIL $destname ($(stat -c%s "$f") != $size)"
-    status=1
-    continue
-  fi
-  if ! sha256sum -c --quiet <(printf '%s  %s\n' "$sha" "$f"); then
-    echo "SHA FAIL  $destname"
-    status=1
-    continue
-  fi
-  echo "VERIFIED  $destname"
-done
-if (( status == 0 )); then
-  echo "DOWNLOAD_DONE $DEST"
-else
-  echo "DOWNLOAD_FAILED $DEST" >&2
-fi
-exit "$status"
@@ -1,15 +1,7 @@
-# frank-archon.env — radiance (StillDeadcode, Apache-2.0) serving the
-# PUBLISHER's 4-bit-codebook container of the official Qwen/Qwen3.8-Flash-Next
-# (MODEL_FILE below, fetched by scripts/download-frank-archon-iq4r.sh) on
-# BOTH R9700s (TP=2), dankserver :7770.
-# 2026-10-15 PAYLOAD SWAP: the model moved from the in-house w4dn8 conversion
-# of the Swift1.5 finetune to the engine author's published container
-# qwen3.8-next-flash-fp8-iq4r-moe.rad (116,322 MiB, sha256-verified at fetch —
-# the w4dn8 measured 116,416 MiB, so this shape carries over with 94 MiB to
-# spare). NO argument changed: every number below is the 2026-10-13 shape,
-# kept verbatim. The swap commit is the rollback (the w4dn8 payload stays on
-# disk).
-
+# frank-archon.env — radiance (StillDeadcode, Apache-2.0) serving
+# ukisai/Swift1.5-Qwen3.8-Flash-Next converted to GPTQ w4 (MODEL_FILE below,
+# built by scripts/convert-swift15-w4dn8.sh) on BOTH R9700s (TP=2),
+# dankserver :7770.
 #
 # SHAPE (2026-10-13): THREE decode slots x 200,000 tokens, fp8 (quantized) KV,
 # with the per-card budget spent on resident experts: 25,600 MiB of slab +
@@ -21,11 +13,9 @@
 # +25 % at the full window) while KV beyond the contract buys nothing.
 # Consequence, deliberate: a FOURTH full-height conversation does not fit this
 # pair, and the engine refuses it — it never truncates. See the KV block for the
-# arithmetic and the measured dtype law. The w4dn8 payload is the swap
-# rollback and keeps its trio under the w4dn8 runbook; the fp8-native payload
-# that came before it was DELETED from disk 2026-10-15 (Frank's call, to free
-# the volume for this download — rebuildable via the fetch + build scripts
-# named in the fp8-native runbook).
+# arithmetic and the measured dtype law. The fp8-native payload this file was
+# written for is the rollback target and keeps its own trio under the
+# fp8-native runbook.
 #
 # 2026-10-05 cutover from FreeToken (PR #587 ROCm, one card, experts in
 # pinned host RAM; git tag frank-archon-freetoken-pr587-20261005 is the
@@ -40,30 +30,20 @@
 # (`X.weight_scale_inv` is the scale plane — checkpoint.h). The PLE n-gram
 # table (51B params, 47.7 GiB) is served from pinned host RAM via io_uring
 # reads — Frank's call: "Native FP8. Experts from ram. Pin the PLE to ram."
-# THE 4-bit-codebook publisher shape is the DEPLOYED payload since
-# 2026-10-15. The card's own run line (--host-pool-mib 12288,
-# --expert-vs-cache-ratio 0.82, seqs 8, spec 3) is the publisher's
-# suggestion on 32 GB cards; this file's shape is the fleet's measured one.
+# The 4-bit-codebook publisher shape (qwen3.8-next-flash-fp8-iq4r-moe.rad,
+# --host-pool-mib 12288) remains the documented fallback if the native
+# container proves unbootable.
 #
-# PAYLOAD: /home/dank/models/rad/qwen3.8-next-flash-fp8-iq4r-moe.rad — the
-# official Qwen3.8-Flash-Next bf16 checkpoint rad-converted by the engine's
-# own author (recipe qwen4exp-w4nl64-i8-hc8m: experts as 4-bit codes into a
-# 16-level non-uniform codebook after a 128-point Walsh–Hadamard rotation,
-# GPTQ + 3 coordinate-descent sweeps on a 10M-token calibration, ten
-# bf16-protected experts per layer, int8 W8A8 trunk + lm_head, fp8 HC
-# mixtures, PLE n-gram fp8 fixed-scale, MTP head, bf16 vision tower; card KL
-# 0.0789 all-tokens / top-1 92.85 % vs bf16). Fetched byte-exact + sha256 by
-# scripts/download-frank-archon-iq4r.sh; the recipe/LICENSE stay in the
-# staging dir beside it as provenance. ROLLBACK: revert the swap commit — the
-# in-house qwen4exp-swift15-w4dn8-i8-hc8m.rad (scripts/convert-swift15-w4dn8.sh,
-# KLD-gated) stays on disk. Behind it, the fp8-native
-# qwen4exp-fp8-native.rad was DELETED from disk 2026-10-15 (Frank's call,
-# one-time rm, to free the volume for this payload); rebuild =
-# scripts/download-frank-archon.sh + scripts/build-frank-archon-rad.sh — a
-# NO-RECIPE rad-convert copy of the official 131-shard checkpoint under the
-# descriptor law (no shipped plugin claims (qwen4exp, "fp8"), so the staging
-# config.json drops quantization_config; per-weight encodings are data, not
-# the descriptor).
+# PAYLOAD: /home/dank/models/rad/qwen4exp-fp8-native.rad — a rad-convert
+# NO-RECIPE pure copy of the official 131-shard checkpoint (every weight
+# keeps its block-FP8 encoding; ~161 GiB). The convert runs against a
+# staging dir whose config.json drops `quantization_config`: the descriptor
+# string is only the plugin SELECTION key (spec §2.4 — exact match, no
+# fallback), and no shipped plugin claims (qwen4exp, "fp8"); the shipped
+# qwen4exp plugin claims (qwen4exp, "") which is what recipe-built
+# containers carry. Per-weight encodings are data, not the descriptor —
+# removing the key changes nothing about what the weights hold. Built by
+# scripts/build-frank-archon-rad.sh (staging + convert + rad-info).
 #
 # SERVING FACTS (docs/GUIDE.md, docs/DOCKER.md, compose/flashnext.yaml):
 # - The HTTP listener binds AFTER the full load (main.cpp: engine.start()
@@ -79,12 +59,12 @@
 #   enable_thinking, preserve_thinking (core/server/oai.cpp:194-205) —
 #   models.yml's extraBody set is fully inside it. Unknown params are
 #   refused (400), which is why nothing unverified rides the wire.
-# - MTP: the .rad carries the model's mtp.* head (the publisher's recipe
-#   names the mtp.fc_hidden/fc_embedding/draft_head rules; card default
-#   depth 3). Served at the depth named by FRANK_ARCHON_SPEC_TOKENS below —
-#   the depth this shape's decode ladder was measured at.
+# - MTP: the official checkpoint carries the mtp.* head (3,101 tensors,
+#   mtp_num_hidden_layers=1) and the plugin probes draft depth 3 — the
+#   publisher's throughput peak for this model. Stated explicitly with
+#   --num-speculative-tokens 3.
 # - The fused TP all-reduce is declared over max-num-seqs x
-#   (1 + --num-speculative-tokens) rows; 3 x (1+2) = 9 rows, under the 25-row
+#   (1 + --num-speculative-tokens) rows; 2 x 3 = 6 rows, under the 25-row
 #   exactness bound of the wht6 wire.
 # Engine pin: Codeberg tag v1.0.13 (commit 53282fa), Docker Hub tag 1.0.13,
 # index digest below. REJECTED UPGRADE: 1.2.0 (sha256:665775ed1d90de6dbb
@@ -108,7 +88,7 @@ FRANK_ARCHON_IMAGE=stilldeadcode/radiance@sha256:4c3f484564bb2872784e46b0a59cbd7
 # .rad files; the raw HF download and its staging dir live beside it and
 # are never mounted.
 FRANK_ARCHON_MODEL_DIR=/home/dank/models/rad
-FRANK_ARCHON_MODEL_FILE=qwen3.8-next-flash-fp8-iq4r-moe.rad
+FRANK_ARCHON_MODEL_FILE=qwen4exp-swift15-w4dn8-i8-hc8m.rad
 FRANK_ARCHON_STATE_DIR=/home/dank/radiance-state
 # The state dir's tune/ subdirectory holds rad-tune's kernel-selection
 # cache (the engine's selector reads $RADIANCE_HOME/tune/<machine>.tune
@@ -262,10 +242,9 @@ FRANK_ARCHON_VRAM_KV_MIB=5120
 # ledgers' `kv tier transfer` lines), so the host tier below parks twice as
 # many conversations as it did at bf16 — no re-size needed to park three slots.
 FRANK_ARCHON_KV_DTYPE=fp8
-# Spec decode: the checkpoint's own MTP head, served at depth 2 — the
-# publisher's card ships depth 3 as its peak; this fleet's ladder was
-# measured at 2 and the swap keeps every argument, so 2 stays (rows
-# 3 x (1+2) = 9, inside the wht6 25-row exactness bound).
+# Spec decode: the checkpoint's own MTP head at the publisher's depth-3
+# operating point (probe() returns 3 when mtp_num_hidden_layers > 0; the
+# flag states it so the ledger records the intent).
 FRANK_ARCHON_SPEC_TOKENS=2
 FRANK_ARCHON_MAX_BATCHED_TOKENS=2048
 # Prefix cache tiers (publisher pattern). The host tier is sized in ENTRIES,
@@ -299,8 +278,9 @@ FRANK_ARCHON_TTM_TARGET_MIB=204800
 # multi-flag values as one string; the serve script expands it unquoted on
 # purpose.
 FRANK_ARCHON_EXTRA_ARGS=
-# The .rad's minimum size in MiB (deployer gate; a truncated fetch is a
-# guaranteed long-timeout boot instead of a fast failure). The deployed
-# publisher container measures 116,322 MiB (121,969,901,568 B); the
-# in-house w4dn8 rollback measured 116,416 MiB. Floor sits just under both.
+# The .rad's minimum size in MiB (deployer gate; a truncated convert is a
+# guaranteed long-timeout boot instead of a fast failure). The converted
+# container measured 177,109 MiB (1,857,127,997,440 B = 173.0 GiB; the
+# plan-only estimate 172.76 GiB covers the data planes but not the metadata
+# tail) - floor sits just under the payload.
 FRANK_ARCHON_RAD_MIN_MIB=110000
@@ -1,9 +1,9 @@
 # frank-archon.service — radiance (StillDeadcode, Apache-2.0) endpoint
-# (the publisher's 4-bit-codebook container of the official
-# Qwen/Qwen3.8-Flash-Next, qwen3.8-next-flash-fp8-iq4r-moe.rad, fetched by
-# scripts/download-frank-archon-iq4r.sh) on BOTH R9700s (TP=2, wht6 wire),
-# dankserver :7770. 2026-10-15 payload swap from the in-house w4dn8 (the
-# swap commit is the revert; its .rad stays on disk).
+# (OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 at NATIVE block-FP8 precision, the
+# rad-convert container qwen4exp-fp8-native.rad) on BOTH R9700s (TP=2,
+# wht6 wire), dankserver :7770. 2026-10-05 cutover from FreeToken (git tag
+# frank-archon-freetoken-pr587-20261005 is the pre-cutover state; the
+# retired unit/env/serve trio and Dockerfile are in that tag).
 #
 # Same port, same served alias, same container identity as the unit name;
 # the harness models.yml id is unchanged. The serve script drives
@@ -19,7 +19,7 @@
 # unit grants LimitMEMLOCK=infinity to the dank process via PID1; the
 # engine still runs out of dank's rootless podman storage.
 [Unit]
-Description=frank-archon — radiance Qwen3.8-Flash-Next (publisher iq4r) on 2x R9700 TP=2
+Description=frank-archon — radiance Qwen3.8-Flash-Next-FP8 (native) on 2x R9700 TP=2
 After=network-online.target
 Wants=network-online.target
 # Never let the start-rate limiter give up after a crash loop (a failed LLM
@@ -1,69 +1,59 @@
-# frank-zealot — llama.cpp (PrismML fork build, CUDA) serving
-# prism-ml/Ternary-Bonsai-2-27B-gguf at PQ2_0 on the RTX 3090, :7771.
+# frank-zealot — llama.cpp (master, CUDA sm_86) serving
+# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at Q6_K on the RTX 3090,
+# :7771.
 #
-# 2026-10-17 (Frank): swap from Qwen3.5-9B-Uncensored Q6_K to the Bonsai-2-27B
-# ternary checkpoint at the SAME shape Frank asked for — TWO 200,704-token
-# conversations — with q8_0 K + q8_0 V (f16 is arithmetically impossible here,
-# see the KV law), MTP off (the file carries no nextn/mtp tensors), verbosity 4.
+# 2026-10-07 (Frank): swap from Gemma4-26B-A4B QAT Q4_K_M (one 200,704 slot)
+# to Qwen3.5-9B Q6_K at TWO 200,704-token conversations, EXACT (f16) KV,
+# MTP disabled (SPEC_TYPE=none), log verbosity 4.
 #
-# THE RUNTIME IS A LOCK, NOT A PREFERENCE. The file is general.file_type 141
-# with 402 tensors of the CUSTOM GGML type 142 (pq2_0) plus prism.hadamard.*
-# metadata (normalized-Sylvester-Walsh transform, block 1024, 401 named
-# weights, inverse on token_embd, gdn_v_grouped). Stock llama.cpp refuses type
-# 142 at load; only the PrismML fork registers the type AND reads the Hadamard
-# metadata. The vendor prebuilt build 10754 (commit 2459f68b5) is what every
-# number in this file was measured on; sha256 12ae5baba033d8cd…
-LLAMA_BIN=/home/dank/GitPackages/llama-prism/llama-server
-MODEL_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf
-MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf
-# The CRACK re-export (dealignai/Bonsai-2-27B-Ternary-CRACK-GGUF, uncensored,
-# already on disk at /home/dank/models/Bonsai2-CRACK/) is a ONE-LINE swap: the
-# header census proves byte-identical geometry (851 tensors, same
-# {pq2_0:402, f32:353, bf16:96} histogram, 64 blocks, vocab 248,320, same
-# 8,952-char chat template) and the official file's sha256 is the Hub LFS oid.
-# Bonsai-2 is the BASE (censored) Qwen3.8 family; if a compaction or subagent
-# request ever comes back with a refusal, point MODEL_FILE at the CRACK file
-# and restart — the VRAM ledger below does not move.
+# Architecture — read from the GGUF's own header (HTTP range read, not the
+# model card): arch qwen35, 32 layers, dense 9B, full_attention_interval 4
+# ⇒ 8 full-attention layers (3,7,11,...,31) + 24 Gated DeltaNet linear layers,
+# 16 attention heads / 4 KV heads × 256 dim, ssm conv_kernel 4 / state_size
+# 128 / group_count 16 / time_step_rank 32 / inner_size 4096, native 262,144,
+# vocab 248,320, file_type 18 (Q6_K). Tensor-type histogram: Q6_K×250 +
+# F32×177 — standard types only, so the stock master build loads it (no
+# custom-quant lock-in like the ROCmFPX era). NO nextn/mtp tensors exist, so
+# in-file MTP is impossible here; SPEC_TYPE=none is forced by the payload.
 #
-# Served model id — the harness/family name. The SERVICE, unit, scripts and
-# this env file keep the frank-zealot name; only the alias on the wire is the
-# model id. Consumers that key on the served id: OpenWebUI (model row,
-# access_grant, api_configs model_ids) and the harness models.yml.
+# KV rate law: 8 full layers × 4 KV heads × 256 dim = 8,192 elements per
+# token per cache. f16 K + f16 V = 32,768 B/token = 32 KiB/token, so the
+# 401,408-token pool is 12.25 GiB. The 24 DeltaNet layers cost a fixed
+# recurrent state per SLOT (not per token) — that is why two 200k slots fit
+# where the 26B MoE fit only one.
+#
+# Feasibility comes from the predecessor's MEASURED boots, not a formula:
+# MiMo-V2.6-Distill-Qwen-9B (identical qwen35 geometry, 7,793,710,624 B) at
+# 2×200,704 f16 K + f16 V measured 21,276 used / 2,849 free at ubatch 1024
+# and 21,846 / 2,279 at ubatch 2048. This file is 415 MiB lighter in weights,
+# its BF16 mmproj is 3 MiB heavier ⇒ projected ~21,430 used / ~2,700 free.
+# The verbosity-4 boot ledger is the referee.
+#
+# Ubatch 2048 is the measured CUDA optimum (measured on the MiMo predecessor
+# at this exact arch + shape: +4.6 % prefill at 8.9k depth, decode flat, cost
+# 616 MiB). 1024 is the fallback rung if the boot lands under the 2 GiB floor.
+LLAMA_BIN=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server
+MODEL_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf
+MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf
+# Served model id — the harness/family name (Protoss rename completed to the
+# wire 2026-10-09: harness ids + homepage cards 2026-10-08, /v1/models aliases
+# this day). The SERVICE, unit, scripts and this env file keep the
+# frank-zealot name; only the alias on the wire changed. Consumers that
+# key on the served id: OpenWebUI (model row, access_grant, api_configs
+# model_ids) and the harness models.yml.
 ALIAS=frank-zealot
 BIND_ADDR=0.0.0.0
 LISTEN_PORT=7771
 # CTX_SIZE is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
 # per conversation. MUST stay divisible by PARALLEL (the seam enforces it) and
 # the harness contextWindow quotes the PER-SLOT number — a longer prompt is
-# answered with a 400, never truncated. The model's native window is 262,144;
-# 2 × 262,144 at q8_0 projects 25,758 MiB and does NOT fit this card (measured
-# f16 analogue: 41,118). One 262,144 slot fits with 5,995 MiB free but
-# serializes compaction, so the pair stays.
+# answered with a 400, never truncated.
 CTX_SIZE=401408
 PARALLEL=2
 BATCH_SIZE=4096
 UBATCH_SIZE=2048
-# KV law (from the GGUF header, then confirmed by the boot ledger): 16
-# full-attention layers (full_attention_interval 4 over 64 blocks) × 4 KV heads
-# × 256 dim = 16,384 elements per token per cache. q8_0 bills 17,408 B per
-# cache ⇒ 34,816 B/token = 34 KiB, so the 401,408 pool is 13,328.00 MiB — the
-# ledger said exactly that. f16 would bill 25,088 MiB and the boot DIES:
-# `cudaMalloc failed: out of memory` on the 25,088.00 MiB request, engine fit
-# projection 33,198 vs 23,558 free. The 48 DeltaNet layers bill a fixed
-# recurrent state per SLOT — ~150 MiB each (context 13,627 − KV 13,328 = 299
-# for two slots), which is why pool arithmetic alone under-prices the shape.
-CACHE_TYPE_K=q8_0
-CACHE_TYPE_V=q8_0
-# Boot ledger (2026-10-17, this exact shape, nvidia-smi settled):
-#   22,664 MiB used / 1,461 MiB free of 24,123
-#   fit projection 21,439 = 6,539 model + 13,627 context + 1,272 compute
-#   the mtmd projector's 873.10 MiB worst-case is NOT inside that projection —
-#   it lands after the fit check, which is the whole difference between
-#   "2.6 GiB free on paper" and 1.4 GiB free in reality. Watch it.
-# Fallback rung if the margin is ever eaten (desktop, co-tenant): q4_0 KV
-# measured 16,392 used / 7,733 free at the same 2 × 200,704.
-# 1024 is the ubatch fallback (−616 MiB, measured on the 9B predecessor at
-# this card/arch; 2048 was the measured CUDA optimum, +4.6 % prefill).
+CACHE_TYPE_K=f16
+CACHE_TYPE_V=f16
 SPEC_TYPE=none
 NGL=99
 # Log verbosity threshold (llama.cpp -lv). 4 = debug: KV layout, buffer sizes
@@ -1,5 +1,5 @@
 [Unit]
-Description=llama.cpp (PrismML build 10754) Ternary-Bonsai-2-27B PQ2_0 GGUF (qwen35 hybrid, 2x200704 slots, q8_0 K+V, MTP off, mmproj vision) on the RTX 3090 (dankclaw, frank-zealot)
+Description=llama.cpp Qwen3.5-9B-Uncensored-HauhauCS-Aggressive Q6_K GGUF (qwen35 hybrid, 2x200704 slots, f16 K+V, MTP off, mmproj vision) on the RTX 3090 (dankclaw, frank-zealot)
 After=network-online.target
 Wants=network-online.target

@@ -1,13 +1,11 @@
 #!/usr/bin/env bash
 # serve-frank-archon.sh — frank-archon endpoint: radiance (StillDeadcode,
-# Apache-2.0) serving the PUBLISHER's 4-bit-codebook container of the
-# official Qwen/Qwen3.8-Flash-Next (the engine author's own rad-convert of
-# the bf16 checkpoint: qwen3.8-next-flash-fp8-iq4r-moe.rad, fetched by
-# scripts/download-frank-archon-iq4r.sh) on BOTH R9700s (TP=2, wht6 wire),
-# dankserver :7770. 2026-10-15 payload swap from the in-house w4dn8 of the
-# Swift1.5 finetune (payload on disk = rollback; the swap commit is the
-# revert); 2026-10-05 radiance cutover from FreeToken (git tag
-# frank-archon-freetoken-pr587-20261005 is the pre-radiance state).
+# Apache-2.0) serving the OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint at
+# NATIVE block-FP8 precision from a rad-convert container
+# (/home/dank/models/rad/qwen4exp-fp8-native.rad), on BOTH R9700s (TP=2,
+# wht6 wire), dankserver :7770. 2026-10-05 cutover from FreeToken (PR #587,
+# one card; git tag frank-archon-freetoken-pr587-20261005 is the
+# pre-cutover state).
 #
 # The run line below IS the engine argv: the image's entrypoint is the
 # engine and its tools sit beside it on PATH. Unlike every predecessor
@@ -1,30 +1,28 @@
 #!/usr/bin/env bash
-# Serve prism-ml/Ternary-Bonsai-2-27B (PQ2_0 ternary quant) as frank-zealot on
-# Dankclaw's RTX 3090 via llama.cpp (PrismML vendor build 10754, CUDA sm_86).
+# Serve HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive (Q6_K) as
+# frank-zealot on Dankclaw's RTX 3090 via llama.cpp (master build, CUDA sm_86).
 #
-# 2026-10-17 (Frank): Bonsai-2 PQ2_0 swap at TWO 200,704-token conversations
-# (--ctx-size 401408 --parallel 2) with q8_0 K + q8_0 V — f16 KV does not fit
-# this geometry: the engine's own fit projected 33,198 MiB against 23,558 free
-# and cudaMalloc failed on the 25,088 MiB pool. MTP stays off: this GGUF
-# carries no MTP tensors (verified from its tensor-name list). Verbosity 4
-# ships so the VRAM-fit forensics (KV layout, buffer sizes, graph capture)
-# land in the journal.
+# 2026-10-07 (Frank): Qwen3.5-9B swap at TWO 200,704-token conversations
+# (--ctx-size 401408 --parallel 2) with EXACT f16 KV — the 9B rung frees the
+# room the 26B MoE Gemma4 shape lacked, so quantized V retires. MTP stays off:
+# this GGUF carries no MTP tensors at all (verified from its tensor-name
+# list), so there is no in-file head to draft with. Verbosity 4 ships so the
+# VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in the journal.
 #
-# Architecture: qwen35 — 27B, 64 blocks with full_attention_interval 4 (16
-# full-attention layers + 48 Gated DeltaNet linear layers), 24 heads / 4 KV
-# heads × 256 dim, native 262,144, vocab 248,320. The KV pool scales with the
-# 16 full layers: 34 KiB/token at q8_0 K + q8_0 V (13,328 MiB at the 401,408
-# pool); the DeltaNet layers cost a fixed recurrent state per SLOT (~150 MiB —
-# boot-ledger context minus KV). Boot ledger: 22,664 used / 1,461 free, with
-# the Q8_0 projector's 873 MiB landing AFTER the engine's fit projection.
-# The runtime is a hard lock, not a preference: the file carries 402 tensors
-# of custom GGML type 142 plus prism.hadamard.* metadata, which only the
-# vendor build registers — stock llama.cpp refuses it at load.
-# Vision comes from the publisher's Q8_0 projector, so --mmproj is what gives
-# this endpoint eyes; MMPROJ_FILE="" is the documented text-only opt-out.
+# Architecture: qwen35 — dense 9B, 32 layers with full_attention_interval 4
+# (8 full-attention layers at 3,7,...,31 + 24 Gated DeltaNet linear layers),
+# 16 heads / 4 KV heads × 256 dim, native 262,144, vocab 248,320. The KV pool
+# scales with the 8 full layers: 32 KiB/token at f16 K + f16 V (12.25 GiB at
+# the 401,408 pool); the DeltaNet layers cost a fixed recurrent state per
+# slot. Feasibility is priced from the MiMo-V2.6-Distill-Qwen-9B boots (same
+# geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279
+# at ubatch 2048 — the boot ledger, not arithmetic, is the referee.
+# Vision comes from the publisher's own BF16 projector (the model is natively
+# multimodal), so --mmproj is what gives this endpoint eyes; MMPROJ_FILE="" is
+# the documented text-only opt-out.
 #
-# Sampling: llama.cpp takes it per request (the fleet harness sends the file's
-# own template defaults from models.yml: thinking temp 1.0 / top_p 0.95 / top_k 20).
+# Sampling: llama.cpp takes it per request (the fleet harness sends the
+# publisher recipe from models.yml: thinking temp 0.6 / top_p 0.95 / top_k 20).
 #
 # Tunables come from frank-zealot.env unless FRANK_ZEALOT_ENV_FILE overrides.
 set -euo pipefail
@@ -39,8 +37,8 @@ if [[ -f "$ENV_FILE" ]]; then
 fi

 # --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/llama-prism/llama-server}"
-: "${MODEL_FILE:=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
+: "${LLAMA_BIN:=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
+: "${MODEL_FILE:=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
 : "${ALIAS:=frank-zealot}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7771}"
@@ -56,20 +54,19 @@ fi
 # throughput-neutral at a fixed ubatch.
 : "${BATCH_SIZE:=4096}"
 : "${UBATCH_SIZE:=2048}"
-# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 2 × 200,704 on this
-# card. 34 KiB/token at this geometry (16 full-attention layers × 4 KV heads ×
-# 256 dim); 13,328 MiB at the 401,408 pool. f16 measured OOM; q4_0 is the
-# fallback rung (16,392 used / 7,733 free). Explicit either way so the contract
-# is visible in the argv, and --flash-attn stays required for quantized V
-# (no true fp8 KV dtype exists in this build).
-: "${CACHE_TYPE_K:=q8_0}"
-: "${CACHE_TYPE_V:=q8_0}"
-# Speculative decoding is OFF: this PQ2_0 file carries NO nextn/mtp tensors, so
+# Exact (unquantized) KV: f16 K + f16 V, restoring the MiMo-era contract that
+# the 26B Gemma4 shape could not afford. 32 KiB/token at this geometry
+# (8 full-attention layers × 4 KV heads × 256 dim); 12.25 GiB at the 401,408
+# pool. Explicit either way so the contract is visible in the argv, and
+# --flash-attn stays required for any quantized-V fallback (q8_0 = llama.cpp's
+# FP8 class; no true fp8 KV dtype exists in this build).
+: "${CACHE_TYPE_K:=f16}"
+: "${CACHE_TYPE_V:=f16}"
+# Speculative decoding is OFF: this Q6_K file carries NO nextn/mtp tensors, so
 # there is no in-file head (the law: MTP is a property of the file, not of the
 # flags). SPEC_TYPE=none strips BOTH speculative flags (flags move as a set);
-# an MTP-bearing CRACK re-export exists upstream (ManniX-ITA, +451 MB) if
-# decode ever needs it — that is a new payload with its own VRAM bill, never a
-# flag flip on this file.
+# naming a drafter requires SPEC_DRAFT_FILE alongside SPEC_TYPE — the Gemma4
+# assistant on disk is arch gemma4-assistant and cannot drafter-match qwen35.
 : "${SPEC_TYPE:=none}"
 : "${SPEC_DRAFT_N_MAX:=3}"
 : "${SPEC_DRAFT_FILE:=}"
@@ -80,7 +77,7 @@ fi
 : "${VERBOSITY:=3}"
 # Vision projector. No colon on purpose: an explicitly empty value means
 # "text-only, on purpose" and must NOT be replaced by the default path.
-: "${MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf}"
+: "${MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"

 # Fail loudly rather than half-loading: a missing file is a download that
 # has not finished, and Restart=always would turn it into a crash loop that
@@ -43,10 +43,8 @@ As of 2026-10-07 the picker exposes **exactly one model: `frank-zealot`**.
 | 2 | `http://host.containers.internal:7771/v1` | yes | `frank-zealot` | llama.cpp CUDA (RTX 3090, 2×200,704) | Dankclaw |

 The `model` table carries exactly one decoration row, `frank-zealot`
-(context length 200,704 = the per-slot window; description since 2026-10-17:
-Ternary-Bonsai-2-27B PQ2_0 + Q8_0 vision mmproj — the row's `description` is
-live DB state, so a payload swap must re-key it in the database too, not only
-in the repo).
+(context length 200,704 = the per-slot window; description: Qwen3.5-9B
+Q6_K + BF16 vision mmproj).

 A third gate sits *after* the table, and it is the one that bites family
 accounts (2026-10-07): a model row is only visible to a non-admin user when
@@ -452,8 +452,7 @@ access is decided entirely by GROUP MEMBERSHIP consumed downstream —
 - `Non-Admin Users` = the plain-user marker group (precedents: qa-e2e, and
  every human account).
 - **The human-user template** (ridley, kassie, alex, artem, kirby, ry, nic,
-  debo, freya, mitch, eric — mitch (pk 22) and eric (pk 23) created
-  2026-10-15, kirby/ry/nic/debo/freya (pk 17–21) created 2026-10-09, kassie
+  debo, freya — kirby/ry/nic/debo/freya (pk 17–21) created 2026-10-09, kassie
  and alex created 2026-10-08, artem (pk 16) created 2026-10-07): `username` +
  `<user>@franksdank.cloud` + display name +
  `is_active=True` + the password set via `set_password`, membership in
@@ -3,7 +3,7 @@ type: reference
 title: Model Swap and Rollback
 description: The full model-swap discipline for the LLM fleet — fit preflight, fetch and payload verification, runtime build/flag checks, git-only config, live validation, systemd handoff, close-out, the three-pin revert law, and research-verification discipline.
 tags: [models, swap, gguf, huggingface, rollback, deployment, verification]
-timestamp: 2026-10-05T00:00:00-07:00
+timestamp: 2026-10-15T00:00:00-07:00
 ---

 # Model Swap and Rollback
@@ -12,6 +12,15 @@ Applies to every endpoint swap on the fleet (frank-zealot / frank-dragoon /
 frank-archon). Repo law: all config flows through git; the live models are
 host state under `/home/dank/models/<name>/`.

+**No bench step (law, 2026-10-15).** A model swap NEVER schedules a bench
+window. Performance evidence comes from the deployed service itself: the
+engine's boot ledger, per-request timings (`/completion` `timings`,
+`Server-Timing`), and one real request per harness role (§6, §8). A
+deliberate standalone bench (flag A/B, shape sweep) is OUT OF PROCEDURE —
+a separate operation that follows the AGENTS.md Benchmarking Policy
+(stop & mask). The env-file hook (§5) stays so those out-of-procedure
+arms remain possible.
+
 ## 1. Fit preflight — never deploy a swap without confirming it FITS

 1. Get the checkpoint's on-disk/weight size AND precision from the HF card
@@ -144,7 +153,8 @@ recoverable, drift is not.
 ## 8. Close-out (mandatory)

 1. Docs: active runbook updated (build recipe, profile, validation numbers
-   incl. real-workload prefill/decode); superseded runbook gets a RETIRED
+   incl. real-workload prefill/decode measured on the LIVE service — no
+   bench window); superseded runbook gets a RETIRED
   banner and stays as the rollback record; `LLM/index.md` mermaid + active
   list; AGENTS.md fleet table + runtime section + history chain; work-log
   entry in `serverAppConfigs-docs/log.md`.
@@ -277,5 +287,6 @@ predecessor "stopped" (the port race above).
 - [[GGUF Compatibility]] — which runtime can load a payload at all
 - [[Llama Cpp Serving Sizing]] — pricing the shape once it loads
 - [[RDNA4 MoE Expert Offload VRAM Budget]] — vLLM-side fit arithmetic
- [[LLM Bench Windows and Measurement]] — measuring the new deployment
+- [[LLM Bench Windows and Measurement]] — out-of-procedure bench windows
+  only; a new deployment is measured by §6 live validation, not by a bench
 - [[dankserver-qwen38-fp8-expert-offload-tuning]] — the current endpoint
@@ -1,144 +0,0 @@
-# frank-archon — Radiance (StillDeadcode), publisher Qwen3.8-Flash-Next iq4r, 2× R9700 TP=2
-
-**Status: LIVE — deployed 2026-10-15.** · **Host:** Dankserver (192.168.0.235) · **Port:** 7770 · **GPU:** 2× Radeon AI PRO R9700 (gfx1201), TP=2
-
-The in-house w4dn8 conversion of the Swift1.5 finetune
-([[frank-archon-radiance-swift15-w4dn8]]) is replaced by the **engine
-author's published container**:
-[`StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe`](https://huggingface.co/StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe)
-— the official `Qwen/Qwen3.8-Flash-Next` bf16 checkpoint rad-converted by
-StillDeadcode. Same port, alias, container name, systemd unit, digest-pinned
-engine pin **1.0.13** (`stilldeadcode/radiance@sha256:4c3f484564…`), and
-**every serving argument carried verbatim** from the 2026-10-13 shape.
-Rollback: revert the swap commit — the w4dn8 `.rad` stays on disk.
-
-## The payload
-
-`qwen3.8-next-flash-fp8-iq4r-moe.rad` — **121,969,901,568 B = 116,322 MiB**,
-sha256 `0af5e96244e80c21ac8edca1719dae49b8a201b94a2f3994c3e24026ceaa4d20`
-(Hub LFS oid), fetched byte-exact by `scripts/download-frank-archon-iq4r.sh`
-(hfget resume + size + sha256; staging dir
-`/home/dank/models/StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe/` keeps the
-card, LICENSE, and recipe `qwen4exp-w4nl64-i8-hc8m` as provenance).
-
-| Plane | Encoding (publisher recipe `qwen4exp-w4nl64-i8-hc8m`) |
-| --- | --- |
-| Routed experts | 4-bit codes into a 16-level **non-uniform** codebook after a 128-point Walsh–Hadamard rotation, one E4M3 scale per 64 weights; codes by GPTQ (10M-token calibration, per-expert down-proj Hessians) + 3 coordinate-descent sweeps |
-| Protected experts | **ten** per layer, whole-expert bf16 (down-projection energy) |
-| Trunk + lm_head | int8 W8A8, scale per 128 columns searched; HC mixtures E4M3 |
-| PLE n-gram | fp8 fixed-scale, in-container (served `--ngram-placement ram`, same 47.7 GiB pin law) |
-| Speculator | the model's own MTP head (card default depth 3; served at 2) |
-| Vision | bf16 vision tower, in-container |
-
-**Base model: the OFFICIAL (censored) Qwen3.8-Flash-Next** — the fleet's
-only frontier model at base alignment; the abliterated family lives on
-frank-dragoon. Card quality: full-vocab teacher-forced KL vs bf16 over
-~75K positions — mean 0.0789 all-tokens / 0.0239 assistant turns, top-1
-agreement 92.85 %.
-
-## Why this swap
-
- **Publisher-graded precision**: the w4nl codebook + coordinate-descent
-  refinement is the engine author's own quality ceiling for this
-  checkpoint; the card's KL ladder (p99 1.65, p99.9 5.33) is published and
-  reproducible, where our w4dn8 gate measured against our own reference.
- **Formal parity**: the served file is the one the engine author supports
-  — decode/prefill behavior on 1.0.13 is their tested path (the card's run
-  line speaks the 1.0.13-era flags; the `--vram-weights-mib`/`--vram-kv-mib`
-  pair we ship is accepted by pin 1.0.13 per the 2026-10-06 A/B, so the
-  shape needed no translation).
- **Cost**: the Swift1.5 finetune's refusal-bending behavior leaves this
-  endpoint (it returns to the official base alignment); the 4-slot/200k
-  economics and all shape laws carry over unchanged.
-
-## Shape (unchanged from 2026-10-13)
-
-All of it, verbatim — the payload moved 116,416 → 116,322 MiB, inside the
-same budget:
-
- `--tp 2 --tp-wire wht6`, `--max-num-seqs 3`, `--max-model-len 200000`
-  (capacity contract 3 × 200,000), `--kv-cache-dtype fp8`
- `--placement expert_tiered --host-pool-mib 44928` + explicit
-  `--vram-weights-mib 25600 --vram-kv-mib 5120` (30,720 of the engine's
-  30,969 MiB ceiling; pool = contract + 1.3 %)
- `--num-speculative-tokens 2`, `--max-num-batched-tokens 2048`
-  (MNBT 2048 law), prefix cache 8 GiB host + 64 GiB disk,
-  `--ngram-placement ram`, froggeric v22.5 `--override-chat-template`
- TTM preflight floor 150,000 / target 204,800 MiB; pinned ledger
-  2 × 44 GiB pool + 47.7 GiB PLE + 8 GiB prefix ≈ 147 GiB (see
-  [[frank-archon-radiance-swift15-w4dn8]] for the ledger arithmetic and
-  the KV dtype law — both are engine properties, payload-independent)
-
-The publisher's card run line (`--host-pool-mib 12288`,
-`--expert-vs-cache-ratio 0.82`, seqs 8, spec 3, ~32 GB host RAM) is their
-shape on stock 32 GB cards; the fleet ships its own measured shape against
-the same file.
-
-## Cutover record — 2026-10-15
-
-1. `rm` (Frank's one-time authorization): the raw
-   `ukisai/Swift1.5-Qwen3.8-Flash-Next` BF16 checkpoint (336 GiB, spent
-   conversion source) and `qwen4exp-fp8-native.rad` (173 GiB, two eras
-   back) left `/home/dank/models` — 150 GB free → 658 GB free. The fp8-native
-   payload is **no longer on disk**: rebuild =
-   `scripts/download-frank-archon.sh` + `scripts/build-frank-archon-rad.sh`.
-2. Fetch: `scripts/download-frank-archon-iq4r.sh --fetch` as transient unit
-   `iq4r-fetch` (detached-job protocol; log
-   `/home/dank/logs/iq4r-fetch.log`, rc sentinel `…rc`).
-3. Deploy: `scripts/deploy.sh dankserver --service frank-archon` — launched
-   detached (the swap restarts the very endpoint the operator session runs
-   on; the harness timeout catches the session on return).
-4. **Boot ledger (2026-10-15, first boot, pin 1.0.13 — the w4nl codebook
-   loaded, no pin bump)**: `kv_attn` fp8 page **26.00 KiB** at **607,740
-   tokens** (151,935 blocks = 3.77 GiB) — byte-identical to the w4dn8 boot,
-   the sizing law carries; `kv_qsa_bkey` 3.25 KiB at the same token count;
-   `kv_gdn_state` 54 MiB × 6 slots, `kv_gdn_conv` 1.76 MiB × 3,
-   `kv_qsa_tail` 19.5 KiB × 6; pool **5.00 GiB**, prefix checkpoints 8 ×
-   56 MiB; the sizing line reads `kv cache 5.00 GiB … backs 3 sequences all
-   at 200000 tokens at once, which is the worst case`; samplers print **9
-   rows** per rank (3 × (1+2), inside the wht6 25-row bound);
-   `speculation: 'mtp' drafts 2 token(s) a step in 2 serial pass(es)` +
-   prompt-lookup fallback; slab **17,610 (rank0) / 17,658 (rank1) slots**
-   (64 shadow) — above the w4dn8 record of 17,548 (ten bf16-protected
-   experts per layer replace twenty-four, so more of the 4-bit table
-   resides), pinned pool 7,532/7,484 slots; KV lending **4.22 GiB**
-   (3,571/3,568 mover slots); arenas 896.02/988.17 MiB charged before the
-   pair split; prefix cache RECOVERED 900,176 blocks + 126 checkpoint slots
-   from the 64 GiB disk tier (same arch + tokenizer as w4dn8 — the tier
-   survived the payload swap); froggeric template 28,234 B; vision encoder
-   live (≤ 4,194,304 px, 16,384 patches/pass). Health gate passed in ~100 s
-   (radiance binds the port after the full load).
-5. **Vision probe (2026-10-15)**: 300 px solid-red PNG via `image_url` —
-   reasoning stream: "a solid fill of a deep, saturated red hue". Content
-   came back EMPTY at `max_tokens 64`: the thinking budget consumed all 64
-   (`reasoning_tokens: 64`, finish `length`) — fleet law, probe thinking
-   models with ≥ a few hundred tokens.
-6. **e2e gate**: deploy exited DEPLOY INCOMPLETE — 30/33 Playwright green,
-   3 red (`12-crawl`, `13-sso` search SSO, `16-marreta`) on DANKCLAW
-   surfaces (vhosts intermittently returned `ERR_CONNECTION_RESET` from the
-   workstation); frank-archon's own health gate passed. The swap touched no
-   dankclaw runtime file (only homepage services.json text). Census of the
-   Caddy/auth stack pending; see `log.md`.
-7. **Post-boot measurements (pending)**: decode ladder (99.0 t/s single
-   @ 43.5k, 93.3 @ 197k, 3-way 113.9/43.3/10.9 = 18.4 t/s aggregate —
-   these are the **w4dn8** numbers, the record to beat, not this file's),
-   slab-limited prefill (22208/3,397 → 25600/3,584 t/s A-cold 43.5k), draft
-   acceptance, and `scripts/probe-frank-archon-kv.py` leg D.
-
-## Rollback
-
-Revert the swap commit (`scripts/frank-archon.env` MODEL_FILE line) +
-redeploy: `/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad`
-(116,416 MiB) stays on disk, KLD-gated, same shape. The fp8-native era is
-rebuild-only (see the cutover record). The w4dn8 runbook keeps every shape
-law, the KV dtype table, the slab ladder, and the tuning levers:
-[[frank-archon-radiance-swift15-w4dn8]].
-
-## Related
-
- [[frank-archon-radiance-swift15-w4dn8]] — the replaced payload and the
-  full shape-law library (slab slope, KV dtype arithmetic, TTM law)
- [[frank-archon-radiance-qwen38-native-fp8]] — the fp8-native era
-  (rebuild-only now; owns the descriptor-selection law)
- [[Dual-R9700-Cooperation]] — the board swap that made TP=2 legal here
- [[deployment]] — the service-scoped deploy this cutover rides
@@ -1,174 +0,0 @@
---
-type: reference
-title: "frank-zealot on Dankclaw — llama.cpp (PrismML fork), Bonsai-2-27B PQ2_0, 2 x 200704, q8_0 KV (ACTIVE)"
-description: "The ACTIVE frank-zealot runbook (since 2026-10-17) — the PrismML fork build of llama.cpp serving prism-ml/Ternary-Bonsai-2-27B-gguf at PQ2_0 on the RTX 3090: two conversations of 200,704 tokens with q8_0 K + q8_0 V (f16 KV does not fit this card at this window), vision through the publisher's Q8_0 Qwen3-VL projector, MTP impossible (no tensors in the file), and the measured four-arm VRAM census that priced the shape."
-tags:
-  - llm
-  - frank-zealot
-  - dankclaw
-  - llama-cpp
-  - gguf
-  - rtx3090
-timestamp: 2026-10-17
---
-
-# frank-zealot — llama.cpp (PrismML) Bonsai-2-27B PQ2_0, 2 × 200,704, q8_0 KV
-
-Live since 2026-10-17, replacing the
-[[frank-zealot-llama-qwen35-9b-q6k-2x200704]] era (Qwen3.5-9B Q6_K, exact f16
-KV, same 2 × 200,704 shape). The trade: the ternary 27B costs ~3.4× the weights
-of the 9B and buys a 3× larger, stronger base at the SAME window contract —
-paid for by quantizing KV (f16 KV is arithmetically impossible for this
-payload on this card, measured below).
-
-## Identity
-
-| | |
-|---|---|
-| Host / device | Dankclaw (192.168.0.143), RTX 3090, 24,576 MiB (24,123 MiB visible to the engine) |
-| Endpoint | `http://192.168.0.143:7771` — served model id **`frank-zealot`** (`ALIAS`), `/v1` OpenAI surface |
-| Runtime | **PrismML fork build** `/home/dank/GitPackages/llama-prism/llama-server` — vendor release, `--version` = `0.2.0-dev (build 10754, commit 2459f68b5)`, sha256 `12ae5baba033d8cd…`. NOT a preference: see *Why the fork* |
-| Unit | root systemd `frank-zealot.service` ([`scripts/frank-zealot.service`](../../scripts/frank-zealot.service)), `User=dank`, `Restart=on-failure`, `LimitMEMLOCK=infinity` |
-| Serve script | [`scripts/serve-frank-zealot.sh`](../../scripts/serve-frank-zealot.sh), tunables [`scripts/frank-zealot.env`](../../scripts/frank-zealot.env) |
-| Weights | `/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf` — 7,206,168,928 B, sha256 `3907dc1658db1f78a9826bf8d5bcb8dc65db0d466388937af57f2294fae62ec1` |
-| Projector | `Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf` — 629,246,976 B (full sha256 pinned in the fetch script), Qwen3-VL tower; **873.10 MiB worst-case VRAM, loaded AFTER the engine's fit check** |
-| Fetch | [`scripts/download-frank-zealot-bonsai2.sh`](../../scripts/download-frank-zealot-bonsai2.sh) — `-f`, byte-count + sha256 verified, idempotent, `--verify-only`, no token on the command line |
-| Seam | `tests/frank_zealot_unit.bats` (argv assertions against a stub engine) |
-
-## Why the fork — the format is the lock
-
-Read from the file's own metadata, not the model card:
-
-|Key|Value|
-|---|---|
-|`general.architecture`|`qwen35` (hybrid: Gated DeltaNet + softmax attention)|
-|`qwen35.block_count`|64, `full_attention_interval` 4 ⇒ **16 full-attention + 48 DeltaNet layers**|
-|Attention|24 heads / **4 KV heads** × key 256 / value 256; `rope.dimension_sections` [11,11,10,0], `freq_base` 1e7, partial rope `dimension_count` 64|
-|Widths|embedding 5,120, feed-forward 17,408|
-|`qwen35.ssm.*`|conv_kernel 4, state_size 128, group_count 16, **time_step_rank 48**, **inner_size 6,144**|
-|Window / vocab|`context_length` 262,144; vocab 248,320 (gpt2 BPE, pre `qwen35`), eos 248046|
-|`general.file_type`|**141 = PQ2_0 — 2.13 bpw (group 128)**|
-|Tensor histogram|851 tensors: **`pq2_0` ×402** (custom GGML type **142**), f32 ×353, bf16 ×96|
-|`prism.hadamard.*`|transform `normalized-sylvester-walsh-hadamard`, block_size 1024, axis `input-last-dimension`, sign_mode explicit, **401 named weights**, sign widths [5120, 6144, 17408], 28,672 sign values, inverse applied on `token_embd.weight`, `gdn_v_grouped` true|
-|Sampler metadata|`general.sampling.temp` 1.0 / `top_p` 0.95 / `top_k` 20|
-|Chat template|8,952 chars; reads `enable_thinking`, **`reasoning_effort` ∈ {`xhigh` (default), `medium`, `low` — anything else is `raise_exception`**, `preserve_thinking`, `tools`/`tool_call`, image + video content parts|
-
-Stock llama.cpp cannot load this file: type 142 is not in its enum (`gguf-py`'s
-stock `GGMLQuantizationType` raises `ValueError: 142 is not a valid…` on the
-same read), and even a loader that parsed it would ignore the
-`prism.hadamard.*` dequant transform the weights depend on. Same class of lock
-as the ROCmFPX custom-type era. The vendor build 10754 already carries the
-September upstream fixes (AVX-512 load segfault, and a `GGML_CUDA_FA_ALL_QUANTS`
-capable CUDA backend — proven by q8_0 V serving under flash attention at the
-correct 34,816 B/token, below).
-
-## VRAM census (2026-10-17, four arms, production stopped)
-
-The engine's own `common_memory_breakdown_print` ledger + settled `nvidia-smi`,
-all arms `--n-gpu-layers 99 --flash-attn on --batch-size 4096 --ubatch-size 2048`,
-mmproj attached:
-
-|Shape|KV|projected `model + context + compute`|settled used / free|verdict|
-|---|---|---|---|---|
-|**2 × 200,704 (pool 401,408)**|**q8_0 / q8_0**|21,439 = 6,539 + 13,627 + 1,272|**22,664 / 1,461**|**DEPLOYED**|
-|2 × 200,704|f16 / f16|33,198 = 6,539 + 25,387 + 1,272|—|`cudaMalloc failed: out of memory` on the **25,088.00 MiB** KV request|
-|1 × 262,144|q8_0 / q8_0|16,905 = 6,539 + 8,853 + 1,512|18,130 / 5,995|fits, but one slot serializes compaction|
-|2 × 262,144|q8_0 / q8_0|≈25,758 (arithmetic, same terms)|—|does not fit (f16 analogue measured 41,118)|
-|2 × 200,704|q4_0 / q4_0|15,167 = 6,539 + 7,355 + 1,272|16,392 / 7,733|the roomy fallback rung|
-
-**KV rate law (confirmed to the MiB):** 16 full layers × 4 KV heads × 256 dim =
-16,384 elements/token/cache; q8_0 bills 17,408 B per cache ⇒ **34,816 B/token**,
-so the 401,408 pool = **13,328.00 MiB** — the ledger printed exactly that
-(`CUDA0 KV buffer size = 13328.00 MiB`). f16 doubles it to 25,088 MiB, which is
-the wall. The 48 DeltaNet layers bill a fixed recurrent state per **slot**:
-context 13,627 − KV 13,328 = **299 MiB for two slots (~150 MiB each)** — pool
-arithmetic alone under-prices the shape by that much.
-
-**The projector is outside the fit check.** `[mtmd] estimated worst-case memory
-usage of mmproj is 873.10 MiB` is printed before fitting but not billed in it:
-settled used (22,664) − projection (21,439) ≈ 1.2 GiB is that projector plus the
-CUDA context. This is the difference between "2.6 GiB free on paper" and the
-real **1.4 GiB** — the same late-allocation failure class that killed the
-DSpark drafter boot in the llama.cpp eras. Any resize must re-read the settled
-`nvidia-smi`, never the projection.
-
-## Measured rates (greedy, `Server-Timing`-free `/completion` `timings`)
-
-|Probe|Result|
-|---|---|
-|Short, warm, single stream (128 tok)|**76.6 t/s** decode (the 9B Q6_K predecessor ran 94.4 — the ternary 27B is ~19 % slower, weight bandwidth + Hadamard dequant)|
-|First request after boot|2.6 t/s prefill / 37.7 t/s decode — **warmup artifact; never report the first request** (measured twice on this payload)|
-|Prefill at ~35k depth|**1,258.4 t/s** (27.8 s)|
-|Prefill at 166,027-token depth|**691.7 t/s** (240.0 s), zero errors, slot intact|
-|Two concurrent streams, 256 tok each|**54.7 + 54.7 = 109.4 t/s aggregate** — `--parallel 2` really batches|
-|Long-context retrieval (25,960-token prompt, needle at position 180 of 300 passages)|exact: *"Frank keeps the fleet in git, only through it."*|
-
-## Behavior contract (probes, not assumptions)
-
- **Reasoning** lands in `reasoning_content` (`--reasoning-format deepseek`) ✓.
- **Tool calls**: a `get_weather` request returns `finish_reason: tool_calls`
-  with `arguments: {"city":"Seattle"}` — valid JSON, no loop, no HTTP 500. The
-  fork's `KNOWN_ISSUES.md` warning about malformed/looping tool calls did not
-  reproduce on build 10754 at this shape.
- **Vision**: a 512 px solid-red PNG answers **"Red"** — but ONLY with a
-  thinking budget ≥ ~512 tokens. At `max_tokens: 64` the request returns
-  `finish_reason: "length"` with EMPTY `content` and half a thought in
-  `reasoning_content`: thinking tokens count against the budget, so a
-  short-budget vision probe reads as "the model is blind". Images do reach the
-  model (a 512 px image bills ~280 prompt tokens: 322 total vs 42 for the text
-  alone). Keep the ≥256 px probe rule from the earlier eras.
- **Log noise law**: `/completion` (text context) at `VERBOSITY=4` prints
-  `failed to parse reasoning content (response_format json_schema is currently
-  only supported with parse_reasoning=true), content will be stored in
-  'content' field` (`probe_request.cpp:789`) whenever the model closes a raw
-  prompt with ``. It is **cosmetic** — the full chain of thought
-  is in `content`. The OpenAI `/v1/chat/completions` path parses it into
-  `reasoning_content` correctly, which is the path the harness and every
-  consumer uses. Do not diagnose this as a fault, and do not drop verbosity
-  below 4 — the KV/buffer ledger in the journal is what VRAM forensics read.
- **Long raw-prompt completions can come back empty**: at ~26k+ tokens a bare
-  `/completion` request generated 0–1 tokens with no error (the model emits an
-  end-of-turn marker immediately, and a text context has no role frame to keep
-  it talking). Chat traffic is unaffected; nothing in the harness posts raw
-  `/completion` at depth.
-
-## Ops notes
-
- **Trial-window law (cost one boot window on 2026-10-17):** a scratch env file
-  must use the serve script's OWN variable names — `CACHE_TYPE_K`/`CACHE_TYPE_V`,
-  `BIND_ADDR`, `NGL`. An invented `KV_CACHE_TYPE` is silently swallowed by the
-  script's `: "${CACHE_TYPE_K:=f16}"` default and the arm boots **f16**, which
-  for this payload is an OOM that looks like a model problem.
- **Base alignment:** Bonsai-2 is the BASE (censored) Qwen3.8-27B lineage, so a
-  refusal is possible on a compaction or subagent request. The CRACK re-export
-  (`dealignai/Bonsai-2-27B-Ternary-CRACK-GGUF`, already on disk at
-  `/home/dank/models/Bonsai2-CRACK/Bonsai-2-27B-PQ2_0-CRACK.gguf`, sha256
-  `5b24ea3e…`) is a **one-line `MODEL_FILE` swap**: the header census proves
-  byte-identical geometry — 851 tensors, the same `{142:402, f32:353, bf16:96}`
-  histogram, 64 blocks, vocab 248,320, the same 8,952-char template. The VRAM
-  ledger does not move. If a refusal ever surfaces, that is the fix; there is
-  also an MTP-bearing CRACK re-export upstream
-  (`ManniX-ITA/…-CRACK-MTP-GGUF`, 7,657,489,920 B, +451 MB head) if decode ever
-  needs the drafter — untested here.
- **Compaction hub unchanged:** all three endpoints still route
-  `compactionModel` here; 200,704 per slot is the fleet's only window that fits
-  a worst-case compaction input, and `--parallel 2` keeps compaction off the
-  critical path of a live generation.
- **Harness side** (`~/.omp/agent/models.yml`): `contextWindow: 200704` and
-  `maxTokens: 16384` unchanged; `extraBody` now quotes the payload's own
-  1.0 / 0.95 / 20 with `preserve_thinking: true`. The `reasoningEffortMap` fold
-  became **load-bearing** (the template raises on any level outside
-  `xhigh|medium|low`) — an unmapped level is a hard 500 on the role's first
-  request, naming Jinja rather than the model.
- **Rollback:** revert the swap commit. The Qwen3.5-9B Q6_K payload, its mmproj
-  and the master CUDA build all remain on disk
-  (`/home/dank/models/Qwen35-9B-HauhauCS-Q6K/`,
-  `~/GitPackages/llama-master/build-cuda/`), and the retired era keeps its own
-  page: [[frank-zealot-llama-qwen35-9b-q6k-2x200704]].
-
-## Related
-
- [[frank-zealot-llama-qwen35-9b-q6k-2x200704]] — the replaced era (rollback target)
- [[frank-dragoon-flash-server-v2-swift15]] — the abliterated sibling on the iGPU
- [[frank-archon-radiance-qwen38-iq4r]] — the censored-base flagship this payload shares base alignment with
- [[deployment]] — deploy flow and incidents
@@ -3,30 +3,25 @@
 **Dankserver runs the radiance engine (StillDeadcode) on frank-archon**
 (digest-pinned `stilldeadcode/radiance` image, engine as entrypoint,
 driving `podman run` directly, root systemd unit, :7770):
-the **publisher's** 4-bit-codebook container of the official
-`Qwen/Qwen3.8-Flash-Next` (`qwen3.8-next-flash-fp8-iq4r-moe.rad`, 116,322 MiB,
-sha256-verified at fetch — w4nl codebook experts + int8 trunk, PLE n-gram,
-MTP head and vision tower in-container), on BOTH R9700s
+`ukisai/Swift1.5-Qwen3.8-Flash-Next` converted to **GPTQ w4**
+(`qwen4exp-swift15-w4dn8-i8-hc8m.rad`, 116,416 MiB, KLD-gated), on BOTH R9700s
 TP=2 (`--tp-wire wht6`), experts in a 44 GiB/rank pinned host pool + VRAM cache
 (explicit `--vram-weights-mib 25600 --vram-kv-mib 5120` = 30,720 of the
 30,969 MiB the engine's own budget table makes claimable), the 47.7 GiB PLE
 table pinned to host RAM, **fp8 KV at 3 × 200,000**, MTP spec decode depth 2,
-froggeric v22.5 template. Rollback: the in-house Swift1.5 w4dn8 `.rad` (on
-disk); tags frank-archon-freetoken-pr587-20261005 and
-frank-archon-vllm-shapeG-20261003),
+froggeric v22.5 template. Rollback tags frank-archon-freetoken-pr587-20261005
+and frank-archon-vllm-shapeG-20261003),
 and Dankclaw runs two endpoints — **halogen-flash-server 0.16.2
 (frank-dragoon, port 7770: ghcr.io/peonist-ai/halogen-flash-server @ pinned
 digest serving the Quat3rnion ABLITERATED Swift1.5 finetune of
 Qwen3.8-Flash-Next v2, a ~62 GiB v2 .hgn that loads in no other engine,
 MTP spec decode always-on (HALOGEN_SPEC_ADAPT=0), TWO slots at 200,192
 ctx, vision ON)** and
-**llama.cpp on the PrismML fork (frank-zealot, port 7771: prism-ml
-Ternary-Bonsai-2-27B at **PQ2_0** — 27B qwen35 hybrid (16 full-attention + 48
-Gated DeltaNet layers), TWO 200,704-token conversations, MTP disabled,
-q8_0 K + q8_0 V (f16 KV does not fit the RTX 3090 at this window), vision via
-the publisher's own Q8_0 Qwen3-VL mmproj, on the RTX 3090 — and the custom
-tensor type 142 + `prism.hadamard.*` metadata mean no other loader can open the
-file)**.
+**llama.cpp CUDA (frank-zealot, port 7771: HauhauCS Gemma4-26B-A4B QAT
+Uncensored Q4_K_M GGUF — 26B MoE hybrid (25 sliding-window + 5 full-attention
+layers), ONE 200,704-token conversation, MTP disabled,
+q8_0 K + q8_0 V (FP8 class), vision via the publisher's own BF16
+mmproj, on the RTX 3090)**.

 > 2026-08-22: the former `vllmScripts` repository is merged into the
 > serverAppConfigs repository. This knowledge base moved from the old repo's
@@ -42,10 +37,10 @@ graph LR
 gfx1201, 32 GiB each]
        B2[radiance StillDeadcode, digest-pinned image
 podman run, frank-archon, port 7770]
-        C[Publisher qwen3.8-next-flash-fp8-iq4r-moe .rad
+        C[Swift1.5-Qwen3.8-Flash-Next GPTQ w4 .rad
 2x R9700 TP=2 wht6, experts 44 GiB/rank pinned pool + VRAM,
 PLE 47.7 GiB pinned RAM, fp8 KV 7.32 KiB/tok, MTP depth 2,
-3 x 200000, froggeric v22.5]
+4 x 200000, froggeric v22.5]
    end

    subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
@@ -108,25 +103,13 @@ frank-zealot, port 7771]
  (`slow`/`advisor` → frank-archon) carried forward. Superseded by the
  MODEL swap: the abliterated v2 .hgn loads only in flash-server, so the
  engine moved with the model
- [[frank-zealot-llama-prism-bonsai2-pq20]] — **ACTIVE since 2026-10-17**
-  (root systemd unit, port 7771): the **PrismML fork** build of llama.cpp
-  (vendor 10754, commit `2459f68b5` — the only loader for the payload's custom
-  tensor type 142 + `prism.hadamard.*` transform) serving
-  prism-ml/Ternary-Bonsai-2-27B-gguf **PQ2_0** (2.13 bpw) on the RTX 3090 —
-  TWO 200,704-token conversations (`--ctx-size 401408 --parallel 2`), **q8_0 K
-  + q8_0 V** (34 KiB/token over the 16 full layers = 13,328 MiB; the f16 pair
-  needs 25,088 MiB and dies), settled 22,664 used / 1,461 free, vision via the
-  publisher's Q8_0 mmproj (+873 MiB, charged AFTER the engine's fit check), MTP
-  OFF (no MTP tensors). 76.6 t/s single-stream decode, 691.7 t/s prefill at
-  166k, 109.4 t/s aggregate at two streams. Supersedes the Qwen3.5-9B era below.
- [[frank-zealot-llama-qwen35-9b-q6k-2x200704]] — **RETIRED 2026-10-07 →
-  10-17** (payload + master CUDA build on disk as rollback): llama.cpp master
-  (CUDA sm_86) serving HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
-  **Q6_K** on the RTX 3090 — TWO 200,704-token conversations
-  (`--ctx-size 401408 --parallel 2`), exact f16 K + f16 V, vision via the
-  publisher's BF16 mmproj. MTP is OFF because the file has no MTP tensors at
-  all. Priced from the MiMo Q6_K boots (same qwen35 geometry, same card, same
-  shape). Supersedes the Gemma4 era (below).
+- [[frank-zealot-llama-qwen35-9b-q6k-2x200704]] — **ACTIVE since 2026-10-07**
+  (root systemd unit, port 7771): llama.cpp master (CUDA sm_86) serving
+  HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive **Q6_K** on the RTX 3090
+  — TWO 200,704-token conversations (`--ctx-size 401408 --parallel 2`), exact
+  f16 K + f16 V, vision via the publisher's BF16 mmproj. MTP is OFF because
+  the file has no MTP tensors at all. Priced from the MiMo Q6_K boots (same
+  qwen35 geometry, same card, same shape). Supersedes the Gemma4 era (below).
 - [[frank-zealot-llama-gemma4-q4km-200704]] — **RETIRED 2026-10-07** (same
  day; superseded by qwen35-9b-q6k; payload on disk as rollback): llama.cpp
  master (CUDA sm_86) serving HauhauCS/Gemma4-26B-A4B-QAT-Uncensored-
@@ -170,22 +153,7 @@ frank-zealot, port 7771]
  target; payload on disk; owns the measured boot-pair table)**: the same
  runtime and the same 2 x 200,704 + f16 KV shape one quant rung lower —
  104.8 tok/s, 3,571 MiB true free
- [[frank-archon-radiance-qwen38-iq4r]] — **ACTIVE since 2026-10-15**:
-  the engine author's published container of the OFFICIAL (base-alignment)
-  Qwen3.8-Flash-Next — `qwen3.8-next-flash-fp8-iq4r-moe.rad`, 116,322 MiB,
-  Hub-sha256-verified at fetch: 4-bit codes into a 16-level non-uniform
-  codebook after a Walsh–Hadamard rotation (GPTQ + 3 coordinate-descent
-  sweeps, 10M-token calibration), ten bf16-protected experts per layer,
-  int8 trunk/lm_head, fp8 HC + PLE, MTP head, bf16 vision tower; card KL
-  0.0789 all-tokens / top-1 92.85 % vs bf16. **MODEL_FILE is the only line
-  that moved** — the 2026-10-13 shape (25600/5120 pair, 44928 pool, fp8 KV
-  3 × 200,000, MTP 2, wht6, MNBT 2048, froggeric v22.5) carries verbatim.
-  Rollback: revert the swap commit (w4dn8 `.rad` stays on disk). The
-  fp8-native `.rad` and the raw Swift1.5 BF16 source were DELETED from
-  dankserver 2026-10-15 (Frank's one-time rm, volume for this payload;
-  rebuild via the fetch + build scripts named in the fp8-native runbook)
- [[frank-archon-radiance-swift15-w4dn8]] — **RETIRED 2026-10-08 → 10-15
-  (superseded by the publisher iq4r swap; payload on disk as the rollback)**:
+- [[frank-archon-radiance-swift15-w4dn8]] — **ACTIVE since 2026-10-08**:
  Swift1.5 Qwen3.8-Flash-Next BF16 → GPTQ-calibrated W4Dn8 `.rad` on radiance
  1.0.13 (recipe + 10M-token calibration + KLD gate vs the BF16 container);
  the FP8-native payload remains the rollback. **2026-10-13: fp8 KV, and the
@@ -182,20 +182,12 @@ The LLM inference fleet on the two hosts. Full index:
 ### Deployment and Topology

 - [[deployment]] — unified deploy and update process for both servers
- [[frank-archon-radiance-qwen38-iq4r]] — **ACTIVE frank-archon runbook
-  (2026-10-15)**: the PUBLISHER's container of the official
-  Qwen3.8-Flash-Next (`qwen3.8-next-flash-fp8-iq4r-moe.rad`, 116,322 MiB,
-  w4nl 4-bit-codebook experts + int8 trunk, Hub-sha256-verified at fetch)
-  swapped in as a MODEL_FILE-only change — the 2026-10-13 shape (slab
-  25600 / fp8-KV 5120, 3 × 200,000, host pool 44,928, MTP depth 2) carries
-  verbatim; rollback = revert the swap commit (the w4dn8 `.rad` stays on
-  disk; the fp8-native `.rad` was deleted 2026-10-15, rebuildable)
- [[frank-archon-radiance-swift15-w4dn8]] — RETIRED 2026-10-08 → 10-15 frank-archon runbook:
+- [[frank-archon-radiance-swift15-w4dn8]] — STAGED frank-archon runbook:
  Swift1.5 Qwen3.8-Flash-Next BF16 → GPTQ-calibrated W4Dn8 `.rad` (radiance
  1.0.13), gated on KLD ≤ 0.03 vs the BF16 container and decode ≥ 30.8 t/s;
  activates by flipping `MODEL_FILE` in `scripts/frank-archon.env`, rollback
  = revert that line (the FP8-native `.rad` stays on disk)
- [[frank-archon-radiance-qwen38-native-fp8]] — the RETIRED 2026-10-05 → 10-08 frank-archon
+- [[frank-archon-radiance-qwen38-native-fp8]] — the ACTIVE frank-archon
  runbook (2026-10-05): the StillDeadcode radiance engine (digest-pinned
  287 MiB image, libr4d gfx1201 kernels) serving the OFFICIAL
  `Qwen/Qwen3.8-Flash-Next-FP8` at native block-FP8 (no-recipe convert
@@ -388,15 +380,8 @@ The LLM inference fleet on the two hosts. Full index:
 - [[ciru-activefpx-promptforge]] — the RETIRED v3 CIRU PromptForge runtime on Dankclaw (superseded 2026-08-24)
 - [[kingjones-strix-mtp]] — the kingjones Qwen3.8-27B ROCmFP4 STRIX MTP model on Dankclaw (active)
 - [[dealign-ornith-crack]] — the retired Ornith-1.5-35B-A3B CRACK model on Dankserver (retired 2026-09-02)
- [[frank-zealot-llama-prism-bonsai2-pq20]] — the **ACTIVE** frank-zealot
-  runbook since 2026-10-17: the PrismML vendor llama.cpp build 10754 (the only
-  loader for GGML type 142 / `prism.hadamard.*`) serving
-  prism-ml/Ternary-Bonsai-2-27B-gguf **PQ2_0** on the RTX 3090 — TWO
-  200,704-token conversations, q8_0 K + q8_0 V (f16 OOMs at 2×200,704: 34 KiB
-  vs 64 KiB per token over 16 full-attention layers), MTP **off** (no head in
-  the file), vision through the Q8_0 mmproj; boot 22,664 used / 1,461 free
- [[frank-zealot-llama-qwen35-9b-q6k-2x200704]] — RETIRED 2026-10-17 (rollback
-  target, payload on disk): llama.cpp master (CUDA sm_86) serving
+- [[frank-zealot-llama-qwen35-9b-q6k-2x200704]] — the **ACTIVE** frank-zealot
+  runbook since 2026-10-07 (late): llama.cpp master (CUDA sm_86) serving
  HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive **Q6_K** on the RTX 3090 —
  TWO 200,704-token conversations, exact f16 K + f16 V, MTP **impossible**
  (the file carries no `nextn`/`mtp` tensors), vision through the publisher's
@@ -1745,110 +1745,22 @@ every restart since the cutover.
  [[frank-archon-radiance-swift15-w4dn8]], and the LLM index entry corrected
  (the w4dn8 entry said STAGED, the fp8-native one said ACTIVE).

-## 2026-10-15 — frank-archon: publisher iq4r payload swap (MODEL_FILE-only)

- Ask: replace the served model with
-  `StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe` — the engine author's
-  published rad-convert of the OFFICIAL Qwen3.8-Flash-Next (w4nl codebook
-  experts, ten bf16-protected/layer, int8 trunk, PLE/MTP/vision in-container,
-  card KL 0.0789 / top-1 92.85 %) — **no other argument changes**, mindful
-  the operator session runs on the endpoint being swapped.
- Disk: Frank authorized one `rm` — the spent Swift1.5 BF16 source (336 GiB)
-  and the two-era-old `qwen4exp-fp8-native.rad` (173 GiB) left
-  `/home/dank/models`; 150 GB → 658 GB free. fp8-native is now rebuild-only
-  (fetch + build scripts); rollback for THIS swap is the w4dn8 `.rad`
-  (on disk) by reverting the commit.
- Fetch: new `scripts/download-frank-archon-iq4r.sh` (hfget, exact bytes
-  121,969,901,568 + Hub LFS sha256, `--verify-only` default) as transient
-  unit `iq4r-fetch`; verified, staged sidecar files kept as provenance.
- Shape carried VERBATIM (25600/5120 pair, 44928 pool, fp8 KV 3 × 200,000,
-  MTP 2, wht6, MNBT 2048, froggeric v22.5). Tests re-keyed
-  (`frank_archon_unit.bats` pins the new payload id + sha256, keeps the
-  w4dn8 rollback provenance), homepage card + trio lore + both indexes
-  updated; new runbook [[frank-archon-radiance-qwen38-iq4r]]. Commits
-  `6dcf4a5` (swap) + `f44c398` + `c5ac072` (docs), full bats green.
- Cutover self-severed by design (detached `deploy.sh` survived the session
-  death when frank-archon restarted); engine healthy in ~100 s. First-boot
-  ledger: w4nl loads on pin 1.0.13 (no pin bump); kv_attn 26.00 KiB fp8 @
-  607,740 tokens (identical geometry); slab 17,610/17,658 slots per rank
-  (> w4dn8's 17,548 — fewer bf16-protected experts pack more 4-bit table);
-  sampler 9 rows; MTP 2/step; prefix tier RECOVERED 900,176 blocks across
-  the swap (arch+tokenizer unchanged). Vision probe green (reasoning read
-  the solid-red PNG; the 64-token budget went all to thinking — fleet law).
- e2e gate went red on three dankclaw specs — NOT the swap: dankclaw rebooted
-  01:41 and the gluetun boot-race dependency-failed `searxng`, `marreta`,
-  and `marreta-browser` (jobs consumed while gluetun's start job retried;
-  `Restart=always` never armed because the services never ran). Cascade
-  restarted; skill codified (`gluetun-dependent-boot-race-recovery`).
-  Gate rerunning against the repaired fleet; frank-archon's own health gate
-  passed every deploy. Open: decode/prefill ladders vs the w4dn8 record,
-  probe leg D — scheduled probe window.
+## 2026-10-15 — governance: bench removed from the model-change procedure

-## 2026-10-15 — authentik: two more human accounts (Dankclaw)
- **Live — mitch (pk 22) and eric (pk 23) provisioned via `ak shell` ORM, no
-  repo objects.** Each `<user>@franksdank.cloud` in the human-user template
-  shape (`is_active=True`, display name, password via `set_password` on stdin
-  only — never argv, so nothing lands in `ps`), groups `Non-Admin Users` +
-  `jellyfin_users` + `openwebui_users`; no admin group granted. Verified
-  through the exact PasswordStage code path (`authenticate()` accepted each
-  password and rejected a wrong one), `app_entitlements(open-webui)` →
-  `Open WebUI Users` for both (identical to the ridley precedent), and
-  `is_superuser=False` / `path=users`. Zero `proxysession` rows for either —
-  groups were set before any login, so no claim purge was due. Downstream:
-  Jellyfin visibility rides the LDAP outpost cache (expect lag); OpenWebUI
-  mints their accounts as role `pending` on first login.
- `/serverAppConfigs-docs/Infrastructure/Authentik.md` — human-user template
-  census extended with pk 22–23.
-
-## 2026-10-17 — frank-zealot: Bonsai-2-27B PQ2_0 trial + cutover (2 × 200,704, q8_0 KV)
-
- Ask: evaluate `prism-ml/Ternary-Bonsai-2-27B-gguf` (PQ2_0) as frank-zealot's
-  payload, and specifically measure **2 × 200,704 with q8_0 K + q8_0 V** on the
-  RTX 3090. Fetch script `scripts/download-frank-zealot-bonsai2.sh` (exact
-  bytes + sha256, `--verify-only`) landed first; payload verified at
-  `/home/dank/models/Bonsai2-PQ2_0/` (7,206,168,928 B + 629,246,976 B mmproj).
- Runtime door: the file is `file_type 141` with 402 tensors of custom GGML
-  type **142** plus `prism.hadamard.*` metadata — stock llama.cpp refuses it,
-  so the PrismML vendor build 10754 (`2459f68b5`) is forced, not chosen. A
-  source build with `GGML_CUDA_FA_ALL_QUANTS=ON` was started and then
-  cancelled as unnecessary: the vendor build already serves q8_0 V under flash
-  attention at the exact 34,816 B/token (ledger-confirmed).
- Trial-window law cost one boot: the scratch env invented `KV_CACHE_TYPE`
-  where the serve script reads `CACHE_TYPE_K`/`CACHE_TYPE_V`, so the script's
-  `:=f16` default silently won and every arm booted f16. That failed window is
-  now the measured f16 wall: `cudaMalloc` OOM on a 25,088.00 MiB KV request,
-  engine fit 33,198 vs 23,558 free.
- Four-arm census (production stopped, trap-guarded restore, `bg_12`):
-  **2 × 200,704 q8_0 = 22,664 used / 1,461 free (DEPLOYED)**; 1 × 262,144
-  q8_0 = 18,130 / 5,995 (fits, but serializes compaction); 2 × 262,144 q8_0
-  ≈ 25,758 projected (no fit); 2 × 200,704 q4_0 = 16,392 / 7,733 (fallback
-  rung). Recurrent DeltaNet state bills ~150 MiB per SLOT (context 13,627 −
-  KV 13,328 for two slots), which pool arithmetic alone misses.
- Behavior probes green: exact-instruction chat, `reasoning_content` present,
-  `tool_calls` with valid JSON arguments (no fork `KNOWN_ISSUES` loop/500),
-  512 px solid-red PNG answered **"Red"**, needle retrieval exact through a
-  25,960-token prompt, 166,027-token prefill clean in 240.0 s. Rates: 76.6 t/s
-  single-stream (9B ran 94.4), 1,258 t/s at 35k, 691.7 t/s at 166k,
-  **109.4 t/s aggregate** at two concurrent streams.
- New fleet laws recorded (AGENTS.md + runbook): the mmproj's 873.10 MiB
-  worst-case is NOT inside the engine's fit projection; the first request after
-  a boot is a warmup artifact (2.6 / 37.7 t/s measured); a 64-token thinking
-  budget makes a thinking model look blind; the Bonsai-2 template reads
-  `reasoning_effort` (xhigh/medium/low, raises otherwise) so the harness fold
-  became load-bearing on this endpoint, and it reads `preserve_thinking`.
- Cutover: `scripts/frank-zealot.env` (payload + `CACHE_TYPE_*`=q8_0 + ledger
-  lore), `scripts/deploy-remote.sh` (runtime/model/mmproj gates re-keyed, fork
-  hint), `tests/frank_zealot_unit.bats` (payload pair pinned; KV assertions now
-  env-derived instead of an f16 literal), harness `models.yml` (extraBody 1.0
-  /0.95/20 + `preserve_thinking`, effort-map comment corrected —
-  `contextWindow` 200704 and `maxTokens` 16384 unchanged), new runbook
-  [[frank-zealot-llama-prism-bonsai2-pq20]], indexes re-keyed, 9B era retired
-  in place. Full bats green (371).
- Base alignment: **Frank chose the OFFICIAL censored payload** — publisher
-  provenance over refusal-freedom. The 9B it replaces was uncensored, so the
-  homepage card and its warning contract were re-keyed with it: zealot's card
-  now carries the base-alignment notice, the shared legal warning belongs to
-  dragoon alone, and the `homepage_config.bats` equality
-  (`zealot.warn == dragoon.warn`) retired with the payload it described.
-  The CRACK re-export (byte-identical geometry per header census) stays on
-  disk as the one-line `MODEL_FILE` fallback if refusals bite.
+- Frank's call: a model swap never carries a bench window. Codified as law:
+  - `AGENTS.md` Benchmarking Policy opens with "Benchmarking is NOT part of
+    the model-swap procedure"; swap verification is the live service (boot
+    ledger, `timings`/`Server-Timing`, one real request per harness role).
+    The stop-and-mask rule stays for DELIBERATE bench windows (flag A/Bs,
+    shape sweeps) — it is host protection (2026-09-16 hard-down precedent),
+    not a swap step. Summary-table row updated to match.
+  - [[Model Swap and Rollback]]: "No bench step (law, 2026-10-15)" up top;
+    §8 close-out numbers must be measured on the live service; the Related
+    link to [[LLM Bench Windows and Measurement]] rescoped to
+    out-of-procedure windows only.
+- Untouched on purpose: the `FRANK_*_ENV_FILE` hook (staged/out-of-procedure
+  arms), the Fleet Ops Playbook bench-window mechanics (deliberate windows
+  still need the procedure), `deployment.md` (already says bench work is a
+  SEPARATE procedure). Managed skill `llamacpp-endpoint-model-swap` verifies
+  on the live engine — it never had a bench step.
@@ -90,14 +90,14 @@

  <h2>frank-zealot — the fast utility model</h2>
  <ul>
-    <li><strong>Model:</strong> <a href="https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf" target="_blank" rel="noopener">Ternary-Bonsai-2-27B</a> (PQ2_0 ternary weights) on the RTX&nbsp;3090 — roughly 77 tokens per second.</li>
+    <li><strong>Model:</strong> <a href="https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive" target="_blank" rel="noopener">Qwen3.5-9B-Uncensored</a> (Q6_K) on the RTX&nbsp;3090 — roughly 95 tokens per second.</li>
    <li><strong>Equivalent:</strong> last year's frontier level (2025).</li>
    <li><strong>Capacity:</strong> 200k-token context, two submissions at a time; sees images.</li>
    <li><strong>Inputs:</strong> text, image.</li>
    <li><strong>Best for:</strong> code editor autocomplete, agentic search, RAG, research subagents, translation, roleplay, and summarization — any small task that doesn't need much intelligence, and anything with a picture. This is the model Open&nbsp;WebUI offers to family accounts.</li>
    <li><strong>Compaction:</strong> if your agent harness supports setting a compaction model, set this one. A compaction job severely slows the bigger models for far longer than it slows this one.</li>
    <li><strong>Supervision:</strong> requires tight human supervision.</li>
-    <li><strong>Warning:</strong> <details class="key-warn"><summary>&#9888; censored base model</summary><div class="warn-body">Base-alignment (censored) model: refusals are possible on sensitive topics, and any model can still be steered into risky output. Uncensored work belongs on frank-dragoon. Take this warning seriously &mdash; don&rsquo;t ruin this server for everybody.</div></details></li>
+    <li><strong>Warning:</strong> <details class="key-warn"><summary>&#9888; uncensored model</summary><div class="warn-body">Uncensored model: output can include adult content, content that describes harmful, hateful, or illegal acts, content concerning &ldquo;sensitive offensive cybersecurity topics&rdquo;, and other output that may carry severe legal risk. Take this warning seriously &mdash; don&rsquo;t ruin this server for everybody.</div></details></li>
  </ul>

  <h2>frank-dragoon — deep reasoning</h2>
@@ -295,13 +295,13 @@
    "model": {
      "unit": "zealot",
      "role": "Frank's utility model",
-      "hf": "https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf",
+      "hf": "https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive",
      "tagline": "HONOR GUIDE ME!",
      "sfx": [
        "zealot-honor.ogg"
      ],
      "equiv": "Equivalent to last year's frontier level (2025).",
-      "spec": "Ternary-Bonsai-2-27B (PQ2_0 ternary weights) on an NVIDIA RTX 3090 — ~77 tokens/s; 200k-token context, two submissions at a time; sees images.",
+      "spec": "Qwen3.5-9B-Uncensored (Q6_K) on an NVIDIA RTX 3090 — ~95 tokens/s; 200k-token context, two submissions at a time; sees images.",
      "inputs": [
        "text",
        "image"
@@ -314,7 +314,7 @@
        ]
      },
      "supervision": "Requires tight human supervision.",
-      "warn": "Base-alignment (censored) model: refusals are possible on sensitive topics, and any model can still be steered into risky output. Take this warning seriously — don’t ruin this server for everybody.",
+      "warn": "Uncensored model: output can include adult content, content that describes harmful, hateful, or illegal acts, content concerning “sensitive offensive cybersecurity topics”, and other output that may carry severe legal risk. Take this warning seriously — don’t ruin this server for everybody.",
      "compaction": "If your agent harness lets you set a compaction model, set this one: a compaction job on the bigger models blocks them for far longer."
    },
    "url": "",
@@ -366,13 +366,13 @@
    "model": {
      "unit": "archon",
      "role": "Frank's strongest and fastest model runtime",
-      "hf": "https://huggingface.co/StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe",
+      "hf": "https://huggingface.co/frank8465/Swift-1.5-Qwen3.8-Flash-Next-GPTQ-W4A8-Radiance-AMD-R9700",
      "tagline": "...Power Overwhelming...",
      "sfx": [
        "archon-power.ogg"
      ],
      "equiv": "Equivalent to Claude Opus 4.8 / OpenAI-Terra (Summer 2026 frontier intelligence).",
-      "spec": "The engine author's published quant: 4-bit codebook experts + int8 trunk of Qwen3.8-Flash-Next (radiance, ~114 GiB) on twin AMD R9700s with more than 200 GB of system RAM — 200k-token context, three submissions at a time; sees images.",
+      "spec": "Our own build: a GPTQ-w4 quant of Swift1.5-Qwen3.8-Flash-Next, quantized and tuned in-house (radiance, ~114 GiB) on twin AMD R9700s with more than 200 GB of system RAM — 200k-token context, three submissions at a time; sees images.",
      "inputs": [
        "text",
        "image"
@@ -3,10 +3,8 @@
 #
 # This file asserts the RADIANCE shape (StillDeadcode engine, digest-pinned
 # stilldeadcode/radiance image, BOTH R9700s TP=2 on the wht6 wire, serving
-# the publisher's 4-bit-codebook .rad of the official Qwen3.8-Flash-Next
-# (fetched by scripts/download-frank-archon-iq4r.sh; the in-house
-# Swift1.5 w4dn8 .rad of scripts/convert-swift15-w4dn8.sh is the on-disk
-# rollback). It replaces the FreeToken seam of
+# the Swift1.5 Qwen3.8-Flash-Next GPTQ-w4 .rad built by
+# scripts/convert-swift15-w4dn8.sh). It replaces the FreeToken seam of
 # 2026-10-05 (git tag frank-archon-freetoken-pr587-20261005) and pins what
 # flags alone do not say: the served window clears the harness worst case,
 # the KV pool backs seqs x max-model-len at the declared cache dtype (an
@@ -30,7 +28,7 @@ SERVE="$REPO_ROOT/scripts/serve-frank-archon.sh"
 TTM_LIB="$REPO_ROOT/scripts/ttm-preflight.sh"
 ENV_FILE="$REPO_ROOT/scripts/frank-archon.env"
 REMOTE_DEPLOY="$REPO_ROOT/scripts/deploy-remote.sh"
-DOWNLOAD="$REPO_ROOT/scripts/download-frank-archon-iq4r.sh"
+DOWNLOAD="$REPO_ROOT/scripts/download-frank-archon-swift15.sh"
 BUILD="$REPO_ROOT/scripts/convert-swift15-w4dn8.sh"
 HFGET="$REPO_ROOT/scripts/hfget.sh"
 TEMPLATE="$REPO_ROOT/scripts/qwen38-froggeric-v22.5.jinja"
@@ -383,23 +381,18 @@ nosudo_bin() {
    grep -q 'exec podman wait "$FRANK_ARCHON_CONTAINER"' "$SERVE"
 }

-@test "the model id matches the payload's fetch script (and the rollback's build script)" {
-    # The deployed payload is the PUBLISHER's .rad: the fetch script names
-    # the repo, the file, and the Hub's LFS sha256; nothing is converted on
-    # the host for it. The in-house w4dn8 rollback keeps its own trio
-    # (convert-swift15-w4dn8.sh + download-frank-archon-swift15.sh, and the
-    # fp8-native era keeps build-frank-archon-rad.sh +
-    # download-frank-archon.sh).
+@test "the model id matches the payload's build and fetch scripts" {
+    # The payload dir/file are the convert script's output layout; the fetch
+    # script must name the repo the convert stages from. (FP8-native era,
+    # the rollback payload, keeps its own trio: build-frank-archon-rad.sh +
+    # download-frank-archon.sh.)
    grep -q '^FRANK_ARCHON_MODEL_DIR=/home/dank/models/rad$' "$ENV_FILE"
-    grep -q '^FRANK_ARCHON_MODEL_FILE=qwen3.8-next-flash-fp8-iq4r-moe.rad$' "$ENV_FILE"
-    grep -q 'StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe' "$DOWNLOAD"
-    grep -q 'qwen3.8-next-flash-fp8-iq4r-moe.rad' "$DOWNLOAD"
-    grep -q '0af5e96244e80c21ac8edca1719dae49b8a201b94a2f3994c3e24026ceaa4d20' "$DOWNLOAD"
+    grep -q '^FRANK_ARCHON_MODEL_FILE=qwen4exp-swift15-w4dn8-i8-hc8m.rad$' "$ENV_FILE"
+    grep -q 'qwen4exp-swift15-w4dn8-i8-hc8m.rad' "$BUILD"
+    grep -q 'ukisai/Swift1.5-Qwen3.8-Flash-Next' "$DOWNLOAD"
    grep -q 'hfget.sh' "$DOWNLOAD"
    # The repo is UNGATED — no token may be required on the fetch path.
    ! grep -q 'HF_TOKEN' "$DOWNLOAD"
-    # Rollback provenance: the w4dn8 build script names its payload.
-    grep -q 'qwen4exp-swift15-w4dn8-i8-hc8m.rad' "$BUILD"
 }

@test "no bare HIP-reserved env var is defined" {
@@ -1,14 +1,13 @@
 # Seam: the frank-zealot llama.cpp root unit on dankclaw.
-# frank-zealot is the RTX 3090 endpoint; since 2026-10-17 it serves
-# prism-ml/Ternary-Bonsai-2-27B-gguf at PQ2_0 — the ternary Bonsai-2-27B, a
-# qwen35 hybrid with 64 blocks (16 full-attention + 48 Gated DeltaNet, no
-# nextn/mtp tensors in the file) — via the PrismML fork build of llama.cpp
-# (vendor build 10754), the ONLY loader that registers the payload's custom
-# tensor type 142 and honours its prism.hadamard.* metadata: TWO 200,704-token
-# conversations (--ctx-size 401408 --parallel 2), q8_0 K + q8_0 V under flash
-# attention (f16 KV does not fit this card at this pool — the boot dies on a
-# 25,088 MiB cudaMalloc), the publisher's own Q8_0 vision projector, and MTP
-# off. Log verbosity 4 ships so the VRAM-fit forensics land in the journal.
+# frank-zealot is the RTX 3090 endpoint; since 2026-10-07 it serves
+# HauhauCS's Qwen3.5-9B-Uncensored-HauhauCS-Aggressive (Q6_K, qwen35 hybrid:
+# 32 layers, 8 full-attention + 24 Gated DeltaNet, no MTP tensors in the file)
+# via the CUDA (sm_86) build of llama.cpp master: TWO 200,704-token
+# conversations (--ctx-size 401408 --parallel 2), exact f16 K + f16 V under
+# flash attention, the publisher's own BF16 vision projector, and MTP off —
+# the file carries no nextn/mtp tensors, so there is no in-file head to draft
+# with. Log verbosity 4 ships so the VRAM-fit forensics (KV layout, buffer
+# sizes, graph capture) land in the journal.
 # This seam runs the serve script against a stub engine and asserts on the
 # argv it actually execs, so what is pinned is the command the operator gets.

@@ -96,15 +95,10 @@ run_stage() {
    grep -q 'FRANK_ZEALOT_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-zealot.env' "$UNIT"
 }

-@test "the shipped env points at the fork runtime and the Bonsai-2 PQ2_0 pair" {
-    # The payload path IS the endpoint's identity, and the runtime is part of
-    # it here: the file's custom tensor type 142 + prism.hadamard.* metadata
-    # make the PrismML build the only loader, so a retarget that moves the
-    # model but leaves the master build behind ships an endpoint that cannot
-    # load at all.
-    grep -qE '^LLAMA_BIN=/home/dank/GitPackages/llama-prism/llama-server$' "$ENV_FILE"
-    grep -qE '^MODEL_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0\.gguf$' "$ENV_FILE"
-    grep -qE '^MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0\.gguf$' "$ENV_FILE"
+@test "the shipped env points at the llama.cpp runtime and the Qwen3.5-9B Q6_K GGUF" {
+    # The payload path IS the endpoint's identity.
+    grep -qE '^LLAMA_BIN=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server$' "$ENV_FILE"
+    grep -qE '^MODEL_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3\.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K\.gguf$' "$ENV_FILE"
 }

@test "the deployer gates on exactly the payload paths the env file ships" {
@@ -141,23 +135,19 @@ run_stage() {
    [ $((pool / slots)) -eq 200704 ]
 }

-@test "the KV dtype pair follows the env file and flash-attn stays pinned on" {
-    # Asserted against the env rather than a literal so a retune moves one
-    # file, not two. The shipped pair is q8_0/q8_0: this payload bills
-    # 16 full-attention layers × 4 KV heads × 256 dim = 16,384 elements per
-    # token per cache, so f16/f16 would need 25,088 MiB of the 24,123 MiB card
-    # (measured: cudaMalloc OOM, engine fit 33,198 vs 23,558 free) while q8_0
-    # bills 34,816 B/token = 13,328.00 MiB at the 401,408 pool. The boot
-    # ledger, not this file, is the referee. flash-attn is not decoration:
-    # quantized V is only legal with it, and it must stay explicit so a
-    # future quant swap cannot silently fall back.
-    local env_k env_v
-    env_k="$(sed -nE 's/^CACHE_TYPE_K=(.+)$/\1/p' "$ENV_FILE")"
-    env_v="$(sed -nE 's/^CACHE_TYPE_V=(.+)$/\1/p' "$ENV_FILE")"
+@test "the KV contract is exact f16 K + f16 V, flash-attn on" {
    serve_argv
    [ "$status" -eq 0 ]
-    [ "$(argv_value --cache-type-k)" = "$env_k" ]
-    [ "$(argv_value --cache-type-v)" = "$env_v" ]
+    # Frank, 2026-10-07: the 9B rung funds unquantized KV (the 26B MoE era
+    # shipped q8_0 V because the card was full). qwen35 bills the pool on the
+    # 8 full-attention layers only (8 × 4 KV heads × 256 dim = 8,192
+    # elements/token ⇒ 32 KiB/token at f16/f16, 12.25 GiB at the 401,408
+    # pool); the 24 DeltaNet layers cost a fixed recurrent state per slot.
+    # The boot ledger, not this file, is the referee. flash-attn stays pinned:
+    # any quantized-V fallback (q8_0 = this build's FP8 class) requires it, and
+    # the build carries GGML_CUDA_FA_ALL_QUANTS=ON.
+    [ "$(argv_value --cache-type-k)" = "f16" ]
+    [ "$(argv_value --cache-type-v)" = "f16" ]
    [ "$(argv_value --flash-attn)" = "on" ]
 }

@@ -105,10 +105,8 @@ for s in fleet:
 assert [s["name"] for s in fleet] == ["frank-zealot", "frank-dragoon", "frank-archon"], \
    "card render order must be zealot, dragoon, archon: " + str([s["name"] for s in fleet])
 w = {s["name"]: s["model"].get("warn", "") for s in fleet}
-assert "legal risk" in w["frank-dragoon"].lower() and "everybody" in w["frank-dragoon"].lower(), \
-    "the abliterated endpoint must carry the common legal warning"
-assert "censored" in w["frank-zealot"].lower() and "uncensored" not in w["frank-zealot"].lower(), \
-    "zealot ships the censored base since 2026-10-17: its card warning must not claim uncensored output"
+assert w["frank-zealot"] == w["frank-dragoon"] != "", "the legal warnings must be the common uncensored text"
+assert "legal risk" in w["frank-zealot"].lower() and "everybody" in w["frank-zealot"].lower()
 archon = next(s for s in fleet if s["name"] == "frank-archon")
 assert "permission" in archon["model"], "archon card needs the ask-Frank permission callout"
 PY