frank-zealot: sweep the live path — serve defaults, unit text, picker docs

- serve script: header + every fallback default re-keyed to the Bonsai-2 trio (vendor LLAMA_BIN, PQ2_0 MODEL_FILE, Q8_0 MMPROJ) and CACHE_TYPE_*:=q8_0 — a defaulted run must land on the shipped shape, never on the retired 9B/f16 pair (the trial window proved a silent default is how a swap goes wrong) - unit Description now names the payload + KV dtype that `systemctl status` will show during the next incident - OpenWebUI decoration-row description re-keyed, with the law that the row is live DB state a swap must follow into the database
docs(AGENTS): fleet topology + llama.cpp laws for the PQ2_0 zealot era
2026-10-17 19:42:13 -07:00 · 2026-10-17 19:41:11 -07:00 · 2026-10-17 19:41:11 -07:00 · 2026-10-17 19:40:56 -07:00 · 2026-10-17 19:40:56 -07:00 · 2026-10-17 19:40:56 -07:00
39 changed files with 1124 additions and 572 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) | 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 |
+| 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 |
 | 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 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 |
+| 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). |

 Retired endpoints (`frank-npu`, and every prior runtime) are in
 the [runbook index](#runbook-index). The full swap history lives in
@@ -429,101 +429,122 @@ 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 on the RTX 3090 (Dankclaw, ACTIVE)
+### frank-zealot — llama.cpp (PrismML fork) on the RTX 3090 (Dankclaw, ACTIVE)

-**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**
+**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**
 (`scripts/frank-zealot.service`, `relink_unit`ed into
-`/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).
+`/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).

-**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.
+**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.

-**The shape (2026-10-07):** `--ctx-size 401408 --parallel 2` = TWO
+**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
 conversations of 200,704 (Frank's cap; the harness `contextWindow` quotes
-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`).
+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.

-**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.
+**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.

-**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
+**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
 carry over: ≥256 px probe images or the model answers "video", and only the
-OpenAI `image_url` content part reaches the model.
+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.

 **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).
+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.

 Runbook:
-`serverAppConfigs-docs/LLM/frank-zealot-llama-qwen35-9b-q6k-2x200704.md`.
-Rollback: revert the swap commit — the Gemma4 payload
+`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
 (`/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), Swift1.5-Qwen3.8-Flash-Next GPTQ w4, TP=2 (Dankserver, ACTIVE)
+### frank-archon — Radiance (StillDeadcode), publisher Qwen3.8-Flash-Next iq4r, TP=2 (Dankserver, ACTIVE)

 The **radiance engine** (StillDeadcode, Apache-2.0; image
 `stilldeadcode/radiance@sha256:4c3f484564…` digest-pinned, **pin 1.0.13**
-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.
+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`).

 **Shape (both R9700s, TP=2)**: `--tp-wire wht6`, `--max-num-seqs 3`,
 `--max-model-len 200000` (the harness contextWindow must quote this),
@@ -575,7 +596,8 @@ 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 (what frank-zealot runs) has NO radiance
+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
 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
@@ -630,8 +652,9 @@ 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-swift15-w4dn8.md`.
-Retired fp8-native era: `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-native-fp8.md`.
+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`.
 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`.
@@ -1019,6 +1042,31 @@ 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**

@@ -1090,8 +1138,8 @@ 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 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` |
+| 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` |
 | Dankclaw kernel posture (`amd_iommu=off`) | `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md` |
 | Deployment flow + incidents | `serverAppConfigs-docs/LLM/deployment.md` |

@@ -1099,6 +1147,8 @@ 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` |
@@ -1,5 +1,16 @@
 # 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 $20 of Deepseek 4.1 Flash and GLM-5.3-Flash
+- Local model: Qwen 3.8 Flash Next
+
+### slop rating of 2 or lower indicates human reading is a worthwhile exercise, and that Frank has read the code and knows the architecture.
+### slop rating of 2 indicates that while this project is human owned, no human contribution process exists and/or release is agentically driven.
+
+
 The single repository for the two homelab servers: the Podman container
 stacks **and** the LLM inference fleet. One repo, one checkout per host,
 one deploy script.
@@ -27,8 +27,7 @@ CALIB=/home/dank/corpora/calib
 OUT=/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad
 LOG=/home/dank/logs/swift15_convert.log
 # gate_up ~37.6 + down ~18.8 + PLE 47.7 + trunk/embeddings/head ~10 GiB (all-w4 expert table;
- # the format assigns ONE encoding per expert table, so a per-tensor block-fp8
- # down tier cannot be served beside a w4 gate_up tier -- see the recipe header).
+# the plugin's one-encoding law dropped the block-fp8 down tier -- see the recipe header).
 MIN_MIB=${FRANK_SWIFT15_RAD_MIN_MIB:-108000}

 # Gate 1: inputs. A missing Gram directory converts UNCALIBRATED with a
@@ -947,7 +947,7 @@ deploy_plex() {
    # accepted and then answered with nothing (curl 52, Empty reply) against a
    # perfectly healthy server. Measured 2026-10-02 — the gate burned its full
    # 600s and failed a plex whose https://127.0.0.1:32400/identity answered
-    # 200 in 44 ms the whole time. The same requirement is why the Caddyfile dials the
+    # 200 in 44 ms the whole time. The same law is why the Caddyfile dials the
    # plex upstream over TLS (tests/caddyfile.bats pins it).
    # -k: PMS presents its own self-signed cert on 32400.
    #
@@ -1207,9 +1207,8 @@ deploy_llm_dragoon() {
    # on the FULL container name, which appears in the argv of a manual
    # `podman run --name frank-dragoon-halogen` / `podman wait` but NOT in
    # this deployer's own command line (`bash deploy-remote.sh
-    # frank-dragoon`) — so the sweep can never match the deployer's own argv
-    # (`pkill -f` kills the invoker when the pattern appears in the invoker's
-    # own command line), and it can never match frank-zealot's llama-server.
+    # frank-dragoon`) — so it cannot shoot itself in the foot (the fleet
+    # pkill law), and it can never match frank-zealot's llama-server.
    run_privileged systemctl stop frank-dragoon.service 2>/dev/null || true
    pkill -f 'frank-dragoon-halogen' 2>/dev/null || true
    podman rm -f frank-dragoon frank-dragoon-halogen >/dev/null 2>&1 || true
@@ -1223,23 +1222,26 @@ deploy_llm_dragoon() {
    wait_for_health frank-dragoon http://127.0.0.1:7770/health 1200
 }

-# 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
+# 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
 # /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="${LLM_ZEALOT_MODEL_FILE:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
-LLM_ZEALOT_RUNTIME="${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="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"
+LLM_ZEALOT_MODEL_FILE="${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}"

 deploy_llm_zealot() {
    # Refuse rather than restart-loop: a unit whose runtime or payload is
@@ -1247,15 +1249,15 @@ 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 $LLM_ZEALOT_RUNTIME" >&2
-        echo "frank-zealot: build it (cmake -B build-cuda -DGGML_CUDA=ON" >&2
-        echo "frank-zealot: -DCMAKE_CUDA_ARCHITECTURES=86 -DCMAKE_CUDA_HOST_COMPILER=/usr/bin/gcc-13" >&2
-        echo "frank-zealot: && cmake --build build-cuda --target llama-server) first." >&2
+        echo "frank-zealot: fetch the PrismML fork release build (build 10754," >&2
+        echo "frank-zealot: commit 2459f68b5) into ~/GitPackages/llama-prism first —" >&2
+        echo "frank-zealot: stock llama.cpp refuses the payload's custom tensor type 142." >&2
        return 1
    fi
    for f in "$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.sh first;" >&2
+            echo "frank-zealot: run scripts/download-frank-zealot-bonsai2.sh first;" >&2
            echo "frank-zealot: refusing to start a unit that cannot load." >&2
            return 1
        fi
@@ -1278,11 +1280,14 @@ deploy_llm_zealot() {
 }

 # deploy_llm_archon — frank-archon is the radiance engine (StillDeadcode,
-# 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
+# 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
 # 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
@@ -1291,7 +1296,7 @@ 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 convert is a guaranteed long-timeout boot), and the unit env
+# a truncated fetch 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.
@@ -1326,13 +1331,13 @@ 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/build-frank-archon-rad.sh" >&2
+        echo "frank-archon: run scripts/download-frank-archon-iq4r.sh --fetch" >&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: rebuild it (scripts/build-frank-archon-rad.sh --force)" >&2
+        echo "frank-archon: re-fetch it (scripts/download-frank-archon-iq4r.sh --fetch; delete the staged file first if its sha256 failed)" >&2
        return 1
    fi

@@ -2,7 +2,7 @@
 """derive-protected-experts.py — rewrite the recipe's protected-expert section
 from a calibration recording. RUNS ON DANKSERVER (venv: numpy).

- The protection rule (docs/MOE-W4.md "Protected experts", restated in the recipe):
+The law (docs/MOE-W4.md "Protected experts", restated in the recipe):
 an expert whose share of its layer's down-input energy is at least 3% AND
 at least three times its share of the routing is kept bf16; the count must
 be EVEN on each rank's half of the layer (the four-bit GEMM takes the rest
@@ -0,0 +1,83 @@
+#!/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"
@@ -14,7 +14,7 @@
 # Fetch uses the vendored scripts/hfget.sh (StillDeadcode's Apache-2.0
 # listing/resume downloader, curl+jq only): per-file size checks against
 # the Hub listing, `-C -` resume, pickle-format duplicates skipped.
- # Verify (default) enforces the download contract in three parts: every listed file
+# Verify (default) is the AGENTS.md law in three parts: every listed file
 # present with the listed size, the shard count matches the weight-map
 # index, and every shard's sha256 equals the Hub's LFS oid. Verify needs
 # only the public API.
@@ -12,7 +12,7 @@
 # Fetch uses the vendored scripts/hfget.sh (StillDeadcode's Apache-2.0
 # listing/resume downloader, curl+jq only): per-file size checks against
 # the Hub listing, `-C -` resume, pickle-format duplicates skipped.
- # Verify (default) enforces the download contract in three parts: every listed file
+# Verify (default) is the AGENTS.md law in three parts: every listed file
 # present with the listed size, the shard count matches the weight-map
 # index, and every shard's sha256 equals the Hub's LFS oid. Verify needs
 # only the public API.
@@ -4,10 +4,9 @@
 # .hgn, the REQUIRED lookup table and the optional vision tower from
 # peonist-ai/halogen-qwen3.8-flash-next (both at the revisions the model
 # card pins), and the flat tokenizer the two repos share. All public, no
- # token — and a token never rides a command line: argv is readable by every
- # process on the host through /proc, so a key placed there is a key exposed.
+# token — and per the fleet secret law, none would ever touch argv.
 #
- # The fetch discipline, same as every sibling script: curl -f (an access error
+# The fetch law, same as every sibling script: curl -f (an access error
 # must not become a "successful" 153-byte artifact), exact byte count from
 # the Hub tree API, LFS sha256 verification, --verify-only to re-check an
 # existing payload without downloading.
@@ -27,8 +26,7 @@
 #   tokenizer/* @e053f488 — byte-identical to the 27B-era tokenizer
 #     already on disk (tokenizer.json LFS
 #     0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3);
- #     fetched fresh rather than symlinked, so the payload dir is
- #     self-contained — every gate and every mount sees real files inside it.
+#     fetched fresh rather than symlinked, per the no-symlink law.
 set -euo pipefail

 DEST="${FRANK_DRAGOON_MODEL_DIR:-$HOME/models/halogen-flashnext-v2}"
@@ -1,11 +1,10 @@
 #!/usr/bin/env bash
 # download-frank-dragoon-halogen.sh — fetch frank-dragoon's halogen payload:
 # the qwen3.8-27b .hgn checkpoint and the export tokenizer, from the
- # PUBLIC peonist-ai/halogen-qwen3.8-27b repo (no token — and a token never
- # rides a command line: argv is readable by every process on the host
- # through /proc, so a key placed there is a key exposed).
- #
- # The fetch discipline, same as every sibling script: curl -f (an access error
+# PUBLIC peonist-ai/halogen-qwen3.8-27b repo (no token — and per the fleet
+# secret law, none would ever touch argv).
+#
+# The fetch law, same as every sibling script: curl -f (an access error
 # must not become a "successful" 153-byte artifact), exact byte count from
 # the model card, LFS sha256 verification, --verify-only to re-check an
 # existing payload without downloading.
@@ -0,0 +1,93 @@
+#!/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"
@@ -11,8 +11,8 @@ Tensor extents are DERIVED from consecutive GGUF header offsets — no quant
 type-size table (those are easy to get subtly wrong; a wrong per-element size
 silently under-covers each tensor and dumps tail samples into a junk bucket).

- What this instrument shows (75 s window, 4 mixed streams, 2.7M
- expert-tensor samples): per-BLOCK read volume is FLAT
+Fleet law this instrument established (2026-09-26, 75 s window, 4 mixed
+streams, 2.7M expert-tensor samples): per-BLOCK read volume is FLAT
 (0.93x-1.08x of mean across all 40 CPU-resident blocks) because MoE top-k
 routing fires every block every token — there are no "most active layers" at
 `-ot` granularity. The real skew is per-EXPERT (top 10% of (block,expert)
@@ -1,7 +1,15 @@
-# 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.
+# 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).
+
 #
 # 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 +
@@ -13,9 +21,11 @@
 # +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 per-dtype cost. The fp8-native payload this file was
-# written for is the rollback target and keeps its own trio under the
-# fp8-native runbook.
+# 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).
 #
 # 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
@@ -30,20 +40,30 @@
 # (`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 (qwen3.8-next-flash-fp8-iq4r-moe.rad,
-# --host-pool-mib 12288) remains the documented fallback if the native
-# container proves unbootable.
+# 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.
 #
-# 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).
+# 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).
 #
 # SERVING FACTS (docs/GUIDE.md, docs/DOCKER.md, compose/flashnext.yaml):
 # - The HTTP listener binds AFTER the full load (main.cpp: engine.start()
@@ -59,12 +79,12 @@
 #   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 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.
+# - 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.
 # - The fused TP all-reduce is declared over max-num-seqs x
-#   (1 + --num-speculative-tokens) rows; 2 x 3 = 6 rows, under the 25-row
+#   (1 + --num-speculative-tokens) rows; 3 x (1+2) = 9 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
@@ -88,7 +108,7 @@ 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=qwen4exp-swift15-w4dn8-i8-hc8m.rad
+FRANK_ARCHON_MODEL_FILE=qwen3.8-next-flash-fp8-iq4r-moe.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
@@ -124,12 +144,13 @@ FRANK_ARCHON_TP=2
 FRANK_ARCHON_TP_WIRE=wht6
 # Decode slots: THREE, so the served window is a CAPACITY CONTRACT — three
 # concurrent conversations of --max-model-len fit the KV pool (see the KV
- # block below). A runtime that compiles its kernels specialized to the exact
- # batch shape can refuse a slot count it has never compiled for; a
- # shape-agnostic engine accepts any count that fits memory. Radiance is the
- # latter: seqs 2 boots, and measured decode at seqs 2 and 3 is statistically
- # tied (30.9-33.1 t/s, inside the +-3% noise floor) — slot count buys
- # concurrency, not speed, so a slot costs KV, never decode.
+# block below). The "seqs 2 cannot boot" law is NOT radiance's: it was the
+# tcclaviger vLLM fork's torch.compile shape specialization on
+# query_start_loc (ConstraintViolationError, measured 2026-10-02, retired
+# with that runtime). Radiance booted seqs 2 at the fp8-native first boot,
+# and the 2026-10-06 decode sweep measured seqs 2 and 3 statistically tied
+# (30.9-33.1 t/s, inside the +-3% noise floor) — slot count buys concurrency,
+# not speed, so a slot costs KV, never decode.
 # Cost of each extra slot: 110 MiB of per-slot recurrent state inside the KV
 # pool, and the fused TP all-reduce is declared over seqs x (1 + spec) rows —
 # 3 x 3 = 9 here, under the 25-row bound at which the wht6 wire stays EXACT
@@ -241,9 +262,10 @@ 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 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).
+# 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).
 FRANK_ARCHON_SPEC_TOKENS=2
 FRANK_ARCHON_MAX_BATCHED_TOKENS=2048
 # Prefix cache tiers (publisher pattern). The host tier is sized in ENTRIES,
@@ -254,10 +276,9 @@ FRANK_ARCHON_MAX_BATCHED_TOKENS=2048
 # available with the service loaded).
 FRANK_ARCHON_PREFIX_HOST_MIB=8192
 FRANK_ARCHON_PREFIX_DISK_MIB=65536
- # The PLE n-gram table (47.7 GiB) serves from pinned host RAM the cards
- # read directly, so it cannot be evicted or page-faulted mid-token. `ram`
- # placement REFUSES the start if the memlock limit is too small, and the
- # unit's LimitMEMLOCK=infinity is the matching half of that pairing.
+# Frank's pin law: the PLE n-gram table (47.7 GiB) serves from pinned host
+# RAM the cards read. `ram` REFUSES the start if the memlock limit is too
+# small — the unit's LimitMEMLOCK=infinity is the other half of this law.
 FRANK_ARCHON_NGRAM_PLACEMENT=ram
 # TTM preflight: the pinned ledger (2 x 44 GiB pools + 47.7 GiB PLE + 8 GiB
 # prefix host = ~147 GiB) rides TTM's shared pages, capped by ttm's
@@ -278,9 +299,8 @@ 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 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.
+# 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.
 FRANK_ARCHON_RAD_MIN_MIB=110000
@@ -1,9 +1,9 @@
 # frank-archon.service — radiance (StillDeadcode, Apache-2.0) endpoint
-# (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).
+# (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).
 #
 # 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-FP8 (native) on 2x R9700 TP=2
+Description=frank-archon — radiance Qwen3.8-Flash-Next (publisher iq4r) 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
@@ -42,10 +42,10 @@
 #   form of the engine's default, so the seam test can pin the product.
 #   KV costs ~28 KiB/position (FLAGS.md) => 524,288 x 28 KiB = 14.0 GiB.
 #   HALOGEN_KV_SLOTS=2 restores the w4b-era shape on this box: the MTP
- #   drafter is NOT slot-locked on this engine: some engines silently
- #   disable drafting the moment a second slot is enabled, this one does not
- #   (the card's own quickstart ships 2 slots WITH the head), so the second
- #   slot is concurrent capacity, not a speculation tax.
+#   drafter is NOT slot-locked on this engine (batching and speculation
+#   coexist — DFlash-era slots>1 law does NOT carry over; the card's own
+#   quickstart ships 2 slots WITH the head), so the second slot is
+#   concurrent capacity, not a speculation tax.
 #   Memory ledger against the box's 121.2 GiB unified (the n-gram table is
 #   mmap'd page cache beside the checkpoint, not a pinned charge — the
 #   card's own quickstart arithmetic does not bill it):
@@ -88,9 +88,8 @@
 #     before. Kernel needs CONFIG_HSA_AMD_SVM (CachyOS ships it) and
 #     amdgpu.noretry=0 (check at deploy).

- # Image: digest-pinned (a tag is a mutable pointer — the same tag can
- # silently deliver different bits — so the digest pins exactly the bits
- # that were qualified). 0.16.2 = the version the model card names as its
+# Image: digest-pinned (fetch law: tag pulls silently re-point; the digest
+# is what was qualified). 0.16.2 = the version the model card names as its
 # quickstart pin; RepoDigest captured at pull on 2026-10-06.
 FRANK_DRAGOON_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
 # Container identity: kept from the 27B era (unit ExecStop names it).
@@ -1,59 +1,69 @@
-# frank-zealot — llama.cpp (master, CUDA sm_86) serving
-# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at Q6_K on the RTX 3090,
-# :7771.
+# frank-zealot — llama.cpp (PrismML fork build, CUDA) serving
+# prism-ml/Ternary-Bonsai-2-27B-gguf at PQ2_0 on the RTX 3090, :7771.
 #
-# 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.
+# 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.
 #
-# 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.
+# 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.
 #
- # KV rate arithmetic: 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.
+# 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.
 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.
+# 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.
 CTX_SIZE=401408
 PARALLEL=2
 BATCH_SIZE=4096
 UBATCH_SIZE=2048
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
+# 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).
 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 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)
+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)
 After=network-online.target
 Wants=network-online.target

@@ -29,8 +29,7 @@
 #     its base SupportsEagleBase (has_own_lm_head, has_own_embed_tokens) -- and
 #     getattr_static()s each one off the instance, breaking on the first miss.
 #     So BOTH wrappers need all three attributes.
- #   * Method-resolution order forbids the obvious inheritance: adding
- #     SupportsEagle3 as a base dies at class creation with
+#   * MRO law: INHERITING SupportsEagle3 as a base dies at class creation with
 #     "Cannot create a consistent method resolution order (MRO) for bases ..."
 #     (GLM's wrappers already carry four/five Protocol-derived bases).  The
 #     attribute route avoids the MRO entirely.  Also proven by simulation:
@@ -9,8 +9,7 @@ No scratch container, no mask: the service under test is the service.
 Four probes, in increasing cost:
  A  decode at depth — one ~51k-token chat completion, 512 tokens, greedy.
     Reports the engine's own `timings` (prefill, decode, draft acceptance).
-     Measurement discipline: generate at least 128 tokens (a short run
-     measures first-token noise, not the server), greedy, real text.
+     The bench law applies: >=128 generated tokens, greedy, real text.
  B  the capacity contract — as many CONCURRENT chats of ~197k prompt tokens as
     the deployed `FRANK_ARCHON_MAX_SEQS` (read from the repo env file on this
     host), each carrying a unique marker at its head. All must answer their own
@@ -1,9 +1,9 @@
 # qwen4exp-swift15-w4dn8-i8-hc8m.recipe -- the Swift 1.5 finetune of Qwen3.8-Flash-Next
 # (ukisai/Swift1.5-Qwen3.8-Flash-Next, BF16 source, 335.3 GiB, key set identical to the official
 # base) as a radiance container for frank-archon: EVERY routed expert -- gate_up AND down --
- # through GPTQ into the w4nl64a8h table. The format assigns exactly ONE encoding per table
+# through GPTQ into the w4nl64a8h table. The plugin's one-table-one-encoding law
 # ("one table of experts takes one encoding, and only a whole expert kept plain bf16 is served
- # beside it", qwen4exp_fp8 rad_arch_declare — so the original split tier (down block-fp8 +
+# beside it", qwen4exp_fp8 rad_arch_declare) forbids the original split tier (down block-fp8 +
 # gate_up w4): the served kernel is w4nl64a8h for the whole expert set, bf16 experts beside it.
 # The rest is qwen4exp-w5dn64-i8-hc8m.recipe verbatim: int8 trunk linears, block-fp8 hc mixers
 # and MTP fc, the fixed-scale n-gram table, the 2-bit draft head.
@@ -26,8 +26,8 @@
 # The protected experts, cast to bf16 ahead of both expert rules. THE NAMES BELOW ARE THE BASE
 # CHECKPOINT'S (from its 1M-token recording, qwen4exp-w5dn64-i8-hc8m.recipe) -- a warm start only.
 # The Swift 1.5 finetune's routing distribution is not assumed equal: the derivation step rewrites
- # this section from Swift's OWN calibration recording before this recipe is ever run, by the
- # protection rule -- an expert whose share of its layer's down-input energy is at least 3% and at least three
+# this section from Swift's OWN calibration recording before this recipe is ever run, by the base's
+# law -- an expert whose share of its layer's down-input energy is at least 3% and at least three
 # times its share of the routing, an even count on each rank's half of the layer (the four-bit GEMM
 # takes the rest as two equal tables by parity) by adding that half's next most energetic expert.
 # PROTECTED-BEGIN (rewritten from Swift's OWN grams by derive-protected-experts.py)
@@ -1,11 +1,13 @@
 #!/usr/bin/env bash
 # serve-frank-archon.sh — frank-archon endpoint: radiance (StillDeadcode,
-# 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).
+# 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).
 #
 # 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
@@ -70,9 +70,7 @@ fi

 # Size-exact gates on all three payload files: a truncated curl exits 0 on
 # some failures and a partial .hgn loads far enough to look alive, so the
- # byte counts from the Hub tree API are the contract: curl exits 0 on an
- # HTTP error and writes the error body as the file, so a truncated download
- # is caught by size here and never boots.
+# byte counts from the Hub tree API are the contract (fleet fetch law).
 ck() {
    # ck <env-name> <path> <expected-bytes>
    if [ ! -f "$2" ]; then
@@ -1,28 +1,30 @@
 #!/usr/bin/env bash
-# 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).
+# 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).
 #
-# 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.
+# 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.
 #
-# 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.
+# 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.
 #
-# 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).
+# 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).
 #
 # Tunables come from frank-zealot.env unless FRANK_ZEALOT_ENV_FILE overrides.
 set -euo pipefail
@@ -37,8 +39,8 @@ if [[ -f "$ENV_FILE" ]]; then
 fi

 # --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
-: "${MODEL_FILE:=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf}"
+: "${LLAMA_BIN:=/home/dank/GitPackages/llama-prism/llama-server}"
+: "${MODEL_FILE:=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
 : "${ALIAS:=frank-zealot}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7771}"
@@ -54,20 +56,20 @@ fi
 # throughput-neutral at a fixed ubatch.
 : "${BATCH_SIZE:=4096}"
 : "${UBATCH_SIZE:=2048}"
-# Exact (unquantized) KV: f16 K + f16 V, restoring the MiMo-era contract that
-# the 26B Gemma4 shape could not afford. 32 KiB/token at this geometry
-# (8 full-attention layers × 4 KV heads × 256 dim); 12.25 GiB at the 401,408
-# pool. Explicit either way so the contract is visible in the argv, and
-# --flash-attn stays required for any quantized-V fallback (q8_0 = llama.cpp's
-# FP8 class; no true fp8 KV dtype exists in this build).
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-# Speculative decoding is OFF: this Q6_K file carries NO nextn/mtp tensors, so
- # there is no in-file head — this kind of drafter exists only as tensors
- # inside the checkpoint file, and no flag can supply one the file lacks.
- # SPEC_TYPE=none strips BOTH speculative flags (they move as a set);
-# naming a drafter requires SPEC_DRAFT_FILE alongside SPEC_TYPE — the Gemma4
-# assistant on disk is arch gemma4-assistant and cannot drafter-match qwen35.
+# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 2 × 200,704 on this
+# card. 34 KiB/token at this geometry (16 full-attention layers × 4 KV heads ×
+# 256 dim); 13,328 MiB at the 401,408 pool. f16 measured OOM; q4_0 is the
+# fallback rung (16,392 used / 7,733 free). Explicit either way so the contract
+# is visible in the argv, and --flash-attn stays required for quantized V
+# (no true fp8 KV dtype exists in this build).
+: "${CACHE_TYPE_K:=q8_0}"
+: "${CACHE_TYPE_V:=q8_0}"
+# Speculative decoding is OFF: this PQ2_0 file carries NO nextn/mtp tensors, so
+# there is no in-file head (the law: MTP is a property of the file, not of the
+# flags). SPEC_TYPE=none strips BOTH speculative flags (flags move as a set);
+# an MTP-bearing CRACK re-export exists upstream (ManniX-ITA, +451 MB) if
+# decode ever needs it — that is a new payload with its own VRAM bill, never a
+# flag flip on this file.
 : "${SPEC_TYPE:=none}"
 : "${SPEC_DRAFT_N_MAX:=3}"
 : "${SPEC_DRAFT_FILE:=}"
@@ -78,7 +80,7 @@ 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/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"
+: "${MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.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
@@ -298,7 +298,7 @@ def main():
                 and list(dssh) == [(dsh[0] + 127) // 128, (dsh[1] + 127) // 128])
    if not scale_law:
        log(f"ERROR: unexpected expert shapes: gate {gdt}{gsh} scale {gsd}{gssh} "
-            f"down {ddt}{dsh} scale {dsd}{dssh} (128x128 block scales)")
+            f"down {ddt}{dsh} scale {dsd}{dssh} (scale law 128x128)")
        return 2
    shapes = {"ffn2_h": (gsh[0] * 2, gsh[1]), "ffn": (dsh[1],),
              "gs": tuple(gssh), "ds": tuple(dssh)}
@@ -43,8 +43,10 @@ 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: Qwen3.5-9B
-Q6_K + BF16 vision mmproj).
+(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).

 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
@@ -452,7 +452,8 @@ 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 — kirby/ry/nic/debo/freya (pk 17–21) created 2026-10-09, kassie
+  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
  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
@@ -0,0 +1,144 @@
+# 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
@@ -0,0 +1,174 @@
+---
+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
@@ -3,25 +3,30 @@
 **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):
-`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
+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
 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 tags frank-archon-freetoken-pr587-20261005
-and frank-archon-vllm-shapeG-20261003),
+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),
 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 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)**.
+**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)**.

 > 2026-08-22: the former `vllmScripts` repository is merged into the
 > serverAppConfigs repository. This knowledge base moved from the old repo's
@@ -37,10 +42,10 @@ graph LR
 gfx1201, 32 GiB each]
        B2[radiance StillDeadcode, digest-pinned image
 podman run, frank-archon, port 7770]
-        C[Swift1.5-Qwen3.8-Flash-Next GPTQ w4 .rad
+        C[Publisher qwen3.8-next-flash-fp8-iq4r-moe .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,
-4 x 200000, froggeric v22.5]
+3 x 200000, froggeric v22.5]
    end

    subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
@@ -103,13 +108,25 @@ 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-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-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-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-
@@ -153,7 +170,22 @@ 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-swift15-w4dn8]] — **ACTIVE since 2026-10-08**:
+- [[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)**:
  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
@@ -1,199 +0,0 @@
---
-type: reference
-title: LLM Usage Attribution
-description: Research catalog of every viable way to answer "who is using the fleet LLMs" — engine-native identity, gateways, auth proxies, tracing platforms, network/host attribution — with the measured fleet baseline (2026-10-13) and a phased adoption plan.
-tags: [llm, observability, auth, gateway, litellm, tracking, identity]
-timestamp: 2026-10-14T00:00:00-07:00
---
-
-# LLM Usage Attribution
-
-Deep-research catalog (2026-10-13/14): solutions for tracking WHO uses the
-fleet endpoints (`frank-archon`, `frank-dragoon`, `frank-zealot`). Full web
-citations; live-fleet measurements marked **(measured)**.
-
-## Baseline: what the fleet answers today
-
- All three endpoints are `auth: none`, plain HTTP, LAN-only
-  (`models.yml` providers; no vhost on 7770/7771).
- **(measured)** Live `/metrics` label census: `frank-archon` exports
-  `vllm:*`+`radiance:*` with labels only `{model_name, engine, le,
-  finished_reason, position, class}` — zero identity labels.
-  `frank-dragoon` exports `halogen:*`+`llamacpp:*`.
-  `frank-zealot` answers **501** — `serve-frank-zealot.sh` never passes
-  `--metrics`, so the Prometheus job is structurally never-green
-  (`LlmEndpointDown` fires). Fix: add `--metrics` to the ARGS array.
- **(measured)** frank-zealot verbosity-4 journal lines carry slot/task/timing
-  only — no client IP, no user. Alloy ships journal + podman ctr.log to Loki,
-  so what lands there has no identity either.
- Caddy has no `log` directive anywhere → no per-request access logs on the
-  OpenWebUI vhost.
- Net: fleet-level token telemetry exists per ENDPOINT; per-CONSUMER
-  identity exists nowhere.
-
-## The identity layers (pick the layer, get its resolution)
-
-| # | Layer | Identity | Answers |
-|---|---|---|---|
-| L0 | DHCP/ARP | MAC, hostname, lease | which device was on the LAN |
-| L1 | DNS (Pi-hole v6) | device → queries | which device resolved/used a name |
-| L2 | L3/L4 (nftables/conntrack, JA3/JA4) | IP, TLS client lib | bytes per client, client software |
-| L3 | Transport (API keys, mTLS, SPIFFE, Tailscale) | key/cert/node | which credential connected |
-| L4 | App gateway (virtual keys → user/team/end_user) | named consumer | tokens/spend/cost per who |
-| L5 | Trace/content (Langfuse, Helicone, halogen records) | user_id, session, prompt text | what they asked, per session |
-| L6 | Client host (auditd, eBPF, netdata) | pid/uid/comm per connect | which process on which host |
-
-Keys/headers/`user` fields are CLIENT-DECLARED — they group traffic, they
-prove nothing about a human (halogen's own docs warn this verbatim:
-"they group requests, and they prove nothing about who sent them").
-
-## Catalog
-
-### A. Engine-native (per-consumer identity inside the inference server)
-
-| Engine | AuthN | Identity in logs | Per-identity metrics | OTel | Notes |
-|---|---|---|---|---|---|
-| llama.cpp | `--api-key` (multi, comma) / `--api-key-file` **(measured in the deployed build's `--help`)** | request `user` field drives slot assignment/eviction; `--log-requests` dumps bodies | `--metrics` exports `llamacpp:*`, NO key/user label | none upstream | [server README](https://github.com/ggml-org/llama.cpp/blob/master/tools/server/README.md) |
-| vLLM | `--api-key` (multi) | request log; no user persistence | `vllm:*`; NO `api_key` label (cardinality, issue #53926) | native (`--otlp-traces-endpoint`) | [metrics design](https://github.com/vllm-project/vllm/blob/main/docs/design/metrics.md) |
-| radiance | no public auth docs **[unverified]** | — | **(measured)** no identity labels on live /metrics | none found | closed deployment surface; treat authN as absent until probed |
-| halogen-flash-server | `HALOGEN_API_KEY` / `HALOGEN_API_KEY_FILE` (multi, comma) | **`HALOGEN_RECORD_DIR` request records**: `turns/*.jsonl` per request — `client_family` (User-Agent), tokens, timings, finish, tool calls, plus HASHES of `user` / `prompt_cache_key` / `safety_identifier` / `metadata.user_id` (`.salt`-keyed); `units/` content-addressed text; caps `HALOGEN_RECORD_GIB`=2, `HALOGEN_RECORD_DAYS`=90; `HALOGEN_RECORD_TEXT=none` for metadata-only; `stats`/`prune` tools in-container | `halogen:*`+`llamacpp:*`, no per-key label | none | [configuration.md](https://github.com/peonist-ai/halogen-flash-server/blob/main/docs/configuration.md) — verbatim-verified 2026-10-13. Best native ledger of the fleet. |
-| SGLang | `--api-key` (single) | `--log-requests` | `sglang:*`, no key label | native (`--enable-trace`) | for any future swap |
-| Ollama | single key | request log | `ollama:` no key label | none | not in fleet |
-
-Wire fields usable from clients today (all client-declared): OpenAI
-`user`, `safety_identifier`, `prompt_cache_key`, Messages
-`metadata.user_id`; LiteLLM `end_user_id`; gateway header conventions
-(`X-Forwarded-User`, `Helicone-User-Id`, `cf-aig-metadata`).
-
-### B. LLM gateways (front door with virtual keys — the only layer with
-per-consumer TOKEN counts)
-
-| Solution | Identity | Usage lands | License | Footprint |
-|---|---|---|---|---|
-| **LiteLLM Proxy** | virtual keys → `user_id`/`team_id`/`end_user`; budgets, rate limits | Postgres spend ledger; `/metrics` labels `api_key_alias,user,team,end_user,model,client_ip,user_agent` (`litellm_*_tokens_metric`, spend, budget gauges); OTel/Langfuse callbacks | MIT core (SSO/RBAC/audit-log enterprise) | ~150–300 MiB + Postgres |
-| Kong AI Gateway | Consumer + key-auth/JWT/OIDC/mTLS; AI consumer groups | Postgres; `kong_*` per-consumer; file-log/zipkin/otel | OSS core; token-aware AI plugins enterprise | 0.5–1 GiB |
-| Apache APISIX | Consumer + key-auth/JWT | `apisix_llm_prompt_tokens`/`completion_tokens` with `consumer` label; http-logger/kafka | Apache-2.0 | 200–400 MiB |
-| Bifrost (maximhq) | virtual keys `sk-bf-*`/`x-bf-vk`, budgets | Prometheus/OTel, config store (SQLite/Postgres) | Apache-2.0, Go | ~150–300 MiB |
-| Portkey OSS gateway | virtual keys | logs/OTel | MIT | 200–400 MiB |
-| Higress AI GW | keys (+OIDC ent) | `higress_*`, ai-logging | Apache-2.0 CE | Istio-based, 0.5 GiB+ |
-| Envoy AI GW / Gateway API Inference Extension / LLM Gatekeeper | delegated auth | Envoy metrics/access logs | Apache-2.0 | K8s-native |
-| Gloo / KrakenD / Gravitee AI gateways | keys, OIDC | metrics/logs | OSS core, AI features enterprise | heavy |
-| Cloudflare AI Gateway | Access JWT `cf.user_id`, `cf-aig-metadata` | Cloudflare-managed analytics/logs | SaaS (exotic for LAN; Tunnel possible) | edge |
-
-([LiteLLM virtual keys](https://docs.litellm.ai/docs/proxy/virtual_keys),
-[prometheus](https://docs.litellm.ai/docs/proxy/prometheus),
-[APISIX ai-proxy](https://apisix.apache.org/docs/apisix/plugins/ai-proxy/),
-[Bifrost](https://github.com/maximhq/bifrost),
-[Kong AI](https://developer.konghq.com/index/ai-gateway/))
-
-### C. Auth proxies / identity infrastructure (identity without token counts)
-
- **Ory Oathkeeper** (MIT, ~50–100 MiB): per-consumer api-key/JWT/
-  client-credentials → header mutation (`X-User: {{ .Subject }}`) +
-  decision logs.
- **oauth2-proxy** (Apache-2.0): OIDC (Authentik) incl. client_credentials,
-  `--pass-user-headers` → `X-Forwarded-User`; ~100 MiB.
- **Authentik itself**: proxy-provider custom headers (already injects
-  `X-Authentik-Username`/`-Groups`, spoof-stripped — the /whoami seam proves
-  the pattern on this host); event log + webhook forwarding.
- **Caddy `tls client_auth`** (mTLS per client cert) + access-log fields —
-  Caddy already fronts both hosts.
- **Smallstep step-ca**: short-lived per-device certs, ACME-style.
- **SPIFFE/SPIRE**: per-workload SVIDs (k8s-flavored; heavy for quadlets).
- **Tailscale / NetBird**: per-node identity, ACL + network-flow logs,
-  headscale for self-hosted control. Best for off-LAN laptops.
- **ApiAuth** (nginx auth_request): the minimal per-consumer apikey sidecar.
-
-### D. LLM observability / tracing (prompt-level per-user audit)
-
-| Platform | Identity | Content | Self-host | Shape |
-|---|---|---|---|---|
-| **Langfuse** | `user_id`,`session_id`, tags | full input/output, masking hook | ✅ ClickHouse, Apache-2.0 | fed via LiteLLM callback / OTLP / SDK |
-| **Helicone** | api-key→user, `Helicone-User-Id` | full, tiered redaction | ✅ compose (ClickHouse+PG+Redis+Jawn), Apache-2.0 | PROXY — can be the front door itself |
-| Arize Phoenix | `user.id`,`session.id` | opt-in `gen_ai.*` | ✅, Apache-2.0 | OTLP collector |
-| OpenLIT | `user.id`,`session.id` | 3-tier capture | ✅, Apache-2.0 | OTLP+ClickHouse |
-| SigNoz LLM | OTel attrs | opt-in | ✅, Apache-2.0 | OTLP |
-| OpenLLMetry/Traceloop | assoc props | opt-in | ✅ Helm | OTel |
-| Lunary / W&B Weave / LangSmith | user/session | full | enterprise-gated | — |
-
-OTel GenAI semconv (Development-stability): `gen_ai.operation.name`,
-`gen_ai.provider.name`, `gen_ai.request.model`, `gen_ai.usage.input_tokens`/
-`output_tokens`, `gen_ai.conversation.id`, content attrs opt-in; `user.id`
-from the registry. vLLM and SGLang emit OTLP natively; llama.cpp only via
-external SDK — **the fleet's engines are OTel-silent at request level**,
-which is why the gateway callback (LiteLLM→Langfuse) is the practical feed.
-
-### E. Network/host passive attribution (no client cooperation)
-
- **Pi-hole v6** (already on Dankclaw): query log API per device,
-  `pihole6_exporter` + query-logger→Loki (GPLv3 exporter).
- **Caddy access logs**: add a `log` directive (JSON) → Alloy→Loki; with the
-  auth chain it carries `X-Authentik-Username` for browser users.
- **OpenWebUI admin**: per-user daily token stats, events/logs, analytics API
-  (`/api/v1/analytics/*`) — per-USER identity exists here already (MIT).
- **auditd** connect-syscall rules (uid/pid/comm per connect to 7770/7771),
-  ship via audisp→Loki.
- **eBPF**: Tetragon (process+socket events, policies), Coroot, DeepFlow,
-  bpftrace `tracepoint:syscalls:sys_enter_connect` one-liners. K8s-shaped
-  for single hosts, but agents.plugin-style tools work.
- **nftables named counters** per consumer IP (bytes; reload resets).
- **netdata apps.plugin**: per-process network bytes, auto-discovered.
- **JA3/JA4 TLS fingerprinting**: client library only, TLS-only; the LAN is
-  plaintext HTTP today → use the HTTP **User-Agent census** instead (free
-  from any access log).
- **DHCP/ARP census** (leases + `ip neigh`): device roster.
-
-## Phased plan for this fleet
-
-**Phase 0 — repo-only, no new services**
-1. frank-zealot: add `--metrics` (fixes the measured 501 + the
-   structurally-red Prometheus job + the firing `LlmEndpointDown`).
-2. frank-dragoon: set `HALOGEN_API_KEY_FILE` (multi-key per consumer) +
-   mount `HALOGEN_RECORD_DIR` (start `HALOGEN_RECORD_TEXT=none`; flip to
-   `all` if prompt audit is wanted) + Alloy ship of `turns/`.
-3. frank-zealot: `--api-key-file` (multi-key, verified in the deployed
-   build); radiance: probe for `--api-key` support (contract facts are
-   silent — add to `fleet-probes`).
-4. models.yml: per-consumer bearer keys (`auth: none` → key) — the provider
-   schema supports apiKey (pi-era conversion note).
-5. Caddy: `log` on `ai.franksdank.cloud` (OpenWebUI browser census, JSON →
-   Loki).
-   Limits: keys gate access, and only the engines' request records (halogen)
-   see them per-request; llama.cpp/radiance/vLLM metrics stay identity-blind.
-
-**Phase 1 — LiteLLM Proxy quadlet on Dankclaw = the front door.**
-One virtual key per consumer (omp-<workstation> ×N, openwebui, hermes,
-agents, bench). Per-key/user/team Prometheus labels into the existing
-Grafana+Alertmanager; Postgres spend ledger; budgets + rate limits per
-key. This is the ONLY layer that yields tokens-per-who without engine
-cooperation. (Bifrost is the lighter Apache-2.0 Go alternative; Helicone
-the proxy-native-observability alternative.)
-
-**Phase 2 — prompt-level audit.** Langfuse self-hosted fed by the LiteLLM
-callback: per-user traces, sessions, cost; masking + retention knobs.
-
-**Phase 3 — ambitious identity infra.** step-ca + Caddy mTLS per device;
-Tailscale (+flow logs) for off-LAN; auditd/eBPF process attribution on the
-agent hosts; Pi-hole query logger; nft counters per consumer IP. Browser
-users stay owned by OpenWebUI analytics + its per-user API keys; a pipeline
-can forward `X-Forwarded-User` so the gateway sees them too.
-
-## Cautions
-
- Client-declared identity (keys, `user`, headers) groups traffic; it does
-  not authenticate humans. Authenticated identity = Authentik (browser) /
-  mTLS (device) / Tailscale (node).
- Plain-HTTP LAN = bearer keys sniffable by any tenant; treat keys as
-  identity labels on the LAN, not secrets, until TLS/mTLS at the door.
- Prompt-content logging stores a plaintext copy of everything — set
-  retention caps (halogen GIB/days; Langfuse masking; Loki retention) and
-  gitignore the record dirs.
- Household-scale cardinality is safe for per-key Prometheus labels;
-  the engines' refusal of key labels is a multi-tenant concern, not ours.
-
-## Related
- [[Fleet Audit and Posture]] — monitoring gaps census
- [Observability](../Infrastructure/Observability.md) — the Loki/Prometheus
-  pipes every sink above uses
- [LLM index](../LLM/index.md) — endpoint runbooks (env trios the Phase-0
-  edits touch)
@@ -23,9 +23,6 @@ Procedures for operating the fleet. The LLM-specific pages live under
  posture, whole-fleet audit, bulk redaction, stash audits
 - [[SSH and Remote Access]] — passwordless bootstrap without sshpass, fish
  login shells, GUI-hang diagnosis over ssh
- [[LLM Usage Attribution]] — who-is-using-the-fleet-LLMs research catalog:
-  engine-native identity, gateways, tracing, network/host attribution, and
-  the phased plan

 ## Related
 - [Observability Provisioning](../Infrastructure/Observability%20Provisioning.md)
@@ -134,9 +134,6 @@ skill-cluster. See [log.md](log.md) for the wave plan and results.
  posture, whole-fleet audit, bulk redaction
 - [[SSH and Remote Access]] — passwordless bootstrap, fish login shells,
  GUI-hang diagnosis over ssh
- [[LLM Usage Attribution]] — who-is-using-the-fleet-LLMs research catalog:
-  engine-native identity, gateways, tracing, network/host attribution,
-  phased plan

 **Architecture:**

@@ -185,12 +182,20 @@ 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-swift15-w4dn8]] — STAGED frank-archon runbook:
+- [[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:
  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 ACTIVE frank-archon
+- [[frank-archon-radiance-qwen38-native-fp8]] — the RETIRED 2026-10-05 → 10-08 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
@@ -383,8 +388,15 @@ 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-qwen35-9b-q6k-2x200704]] — the **ACTIVE** frank-zealot
-  runbook since 2026-10-07 (late): llama.cpp master (CUDA sm_86) serving
+- [[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
  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
@@ -1745,3 +1745,110 @@ 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 — 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.
@@ -90,14 +90,14 @@

  <h2>frank-zealot — the fast utility model</h2>
  <ul>
-    <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>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>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; 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>
+    <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>
  </ul>

  <h2>frank-dragoon — deep reasoning</h2>
@@ -295,13 +295,13 @@
    "model": {
      "unit": "zealot",
      "role": "Frank's utility model",
-      "hf": "https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive",
+      "hf": "https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf",
      "tagline": "HONOR GUIDE ME!",
      "sfx": [
        "zealot-honor.ogg"
      ],
      "equiv": "Equivalent to last year's frontier level (2025).",
-      "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.",
+      "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.",
      "inputs": [
        "text",
        "image"
@@ -314,7 +314,7 @@
        ]
      },
      "supervision": "Requires tight human supervision.",
-      "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.",
+      "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.",
      "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/frank8465/Swift-1.5-Qwen3.8-Flash-Next-GPTQ-W4A8-Radiance-AMD-R9700",
+      "hf": "https://huggingface.co/StillDeadcode/qwen3.8-next-flash-fp8-iq4r-moe",
      "tagline": "...Power Overwhelming...",
      "sfx": [
        "archon-power.ogg"
      ],
      "equiv": "Equivalent to Claude Opus 4.8 / OpenAI-Terra (Summer 2026 frontier intelligence).",
-      "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.",
+      "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.",
      "inputs": [
        "text",
        "image"
@@ -3,8 +3,10 @@
 #
 # This file asserts the RADIANCE shape (StillDeadcode engine, digest-pinned
 # stilldeadcode/radiance image, BOTH R9700s TP=2 on the wht6 wire, serving
-# the Swift1.5 Qwen3.8-Flash-Next GPTQ-w4 .rad built by
-# scripts/convert-swift15-w4dn8.sh). It replaces the FreeToken seam of
+# 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
 # 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
@@ -14,7 +16,7 @@
 # half of RAM), the served window is what models.yml must
 # quote, the host-networking contract (no --publish), the image gate on a
 # name@sha256 ref, the .rad payload gate with its size floor, the
- # chat-template override mount, the self-healing requirement (the run returns before
+# chat-template override mount, the self-healing law (the run returns before
 # the engine is up, so the serve script must wait on the container for
 # Restart=always to mean anything), the deployer's false-green MainPID check,
 # the vendored hfget fetch path (no token for this ungated repo), and the
@@ -28,7 +30,7 @@ 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="$REPO_ROOT/scripts/download-frank-archon-swift15.sh"
+DOWNLOAD="$REPO_ROOT/scripts/download-frank-archon-iq4r.sh"
 BUILD="$REPO_ROOT/scripts/convert-swift15-w4dn8.sh"
 HFGET="$REPO_ROOT/scripts/hfget.sh"
 TEMPLATE="$REPO_ROOT/scripts/qwen38-froggeric-v22.5.jinja"
@@ -136,11 +138,10 @@ nosudo_bin() {
    # Concurrency: 3 slots x the served window is the capacity contract, and
    # the fused TP all-reduce is declared over seqs x (1 + spec) = 9 rows,
    # under the 25-row bound at which the wht6 wire stays bit-exact. The
-    # "seqs 2 cannot boot" is the failure mode of a runtime that compiles
-    # kernels specialized to the batch shape — it refuses a slot count it has
-    # never compiled for. This engine is shape-agnostic: seqs 2 boots, and
-    # measured decode ties seqs 2 and 3 inside the +-3% noise floor — slots
-    # buy concurrency, not speed.
+    # "seqs 2 cannot boot" law belongs to the retired tcclaviger vLLM fork
+    # (torch.compile query_start_loc constraint, 2026-10-02); radiance booted
+    # seqs 2 in the fp8-native era and the 2026-10-06 sweep had seqs 2 and 3
+    # tied inside the +-3% noise floor — slots buy concurrency, not speed.
    grep -q '^FRANK_ARCHON_MAX_SEQS=3$' "$ENV_FILE"
    grep -q '^FRANK_ARCHON_TP=2$' "$ENV_FILE"
    grep -q '^FRANK_ARCHON_TP_WIRE=wht6$' "$ENV_FILE"
@@ -148,8 +149,8 @@ nosudo_bin() {
    # expert_tiered placement: vram_weights + the pinned host pool serve the
    # per-rank resident set TOGETHER, so cutting the VRAM slab to pay for the
    # KV pool moves the pool with it. KV is QUANTIZED fp8 (the engine takes
-    # only bf16|fp8 — no per-tensor K/V split), and the PLE n-gram table is
-    # pinned in host RAM so the cards read it without page-faulting mid-token.
+    # only bf16|fp8 — no per-tensor K/V split), the PLE n-gram table is pinned
+    # in host RAM per Frank's law.
    grep -q '^FRANK_ARCHON_PLACEMENT=expert_tiered$' "$ENV_FILE"
    grep -q '^FRANK_ARCHON_HOST_POOL_MIB=44928$' "$ENV_FILE"
    grep -q '^FRANK_ARCHON_VRAM_WEIGHTS_MIB=[1-9]' "$ENV_FILE"
@@ -382,18 +383,23 @@ nosudo_bin() {
    grep -q 'exec podman wait "$FRANK_ARCHON_CONTAINER"' "$SERVE"
 }

-@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.)
+@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).
    grep -q '^FRANK_ARCHON_MODEL_DIR=/home/dank/models/rad$' "$ENV_FILE"
-    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 '^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' "$DOWNLOAD"
    grep -q 'hfget.sh' "$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" {
@@ -11,9 +11,8 @@
 # vision file names AND byte counts inside the /models mount, and the
 # tokenizer's flat-file shape (a HF cache snapshot's symlinks dangle inside
 # the container). A serve gate and a deployer gate that disagree is the
- # crash-loop class this file exists to kill: both sides are pinned here,
- # plus the one engine rule the card is emphatic about: HALOGEN_SPEC_ADAPT=0 —
- # the default
+# 2026-10-01 crash-loop; both sides are pinned here, plus the one engine
+# law the card is emphatic about: HALOGEN_SPEC_ADAPT=0 — the default
 # adaptive policy silently disables the MTP head per request and HALVES
 # decode.
 #
@@ -112,10 +111,9 @@ good_env() {
@test "the head stays on: adaptive spec must stay 0 and the window shape pinned" {
    # The card is emphatic: the default adaptive policy turns the MTP head
    # off for whole requests after low acceptance and HALVES decode. The
-    # two-slot coupling of the 27B engine — which disabled drafting whenever a
-    # second slot existed — does NOT carry over: on this line batching and
-    # speculation coexist (the card's quickstart ships 2 slots WITH the head),
-    # so 2 is concurrent capacity, not a tax.
+    # two-slot law does NOT carry over from the 27B engine — on this line
+    # batching and speculation coexist (the card's quickstart ships 2
+    # slots WITH the head), so 2 is concurrent capacity, not a tax.
    grep -qE '^HALOGEN_SPEC_ADAPT=0$' "$ENV_FILE"
    grep -qE '^HALOGEN_KV_SLOTS=2$' "$ENV_FILE"
    # The cap/timeout pair is coupled (FLAGS.md table): a request at the
@@ -180,9 +178,8 @@ good_env() {
 }

@test "the serve script refuses a checkpoint of the wrong byte count" {
-    # A truncated curl exit-0 artifact must not boot: curl exits 0 on an HTTP
-    # error and writes the error body as the file, so the Hub's declared byte
-    # count is the contract that catches it.
+    # A truncated curl exit-0 artifact must not boot; the Hub's byte
+    # count is the contract (fleet fetch law).
    podman_stub
    good_env
    run env PATH="$TEST_TMP/bin:$PATH" "${GOOD_ENV[@]}" \
@@ -283,7 +280,7 @@ $(cat "$TEST_TMP/serve.log")"
    ! grep -q 'PODMAN wait' "$TEST_TMP/serve.log"
 }

- @test "the shipped env keeps the harness fit budget inside the engine ceiling" {
+@test "the shipped env keeps the harness fit law inside the ceiling" {
    # 262144 (the checkpoint's native window) is the per-slot hard ceiling
    # (a longer prompt is a 400 naming the limit, never a silent
    # truncation). The harness clamps max_tokens = min(45056, 217088 − est
@@ -1,13 +1,14 @@
 # Seam: the frank-zealot llama.cpp root unit on dankclaw.
-# 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.
+# 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.
 # 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.

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

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

-@test "the KV contract is exact f16 K + f16 V, flash-attn on" {
+@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")"
    serve_argv
    [ "$status" -eq 0 ]
-    # Frank, 2026-10-07: the 9B rung funds unquantized KV (the 26B MoE era
-    # shipped q8_0 V because the card was full). qwen35 bills the pool on the
-    # 8 full-attention layers only (8 × 4 KV heads × 256 dim = 8,192
-    # elements/token ⇒ 32 KiB/token at f16/f16, 12.25 GiB at the 401,408
-    # pool); the 24 DeltaNet layers cost a fixed recurrent state per slot.
-    # The boot ledger, not this file, is the referee. flash-attn stays pinned:
-    # any quantized-V fallback (q8_0 = this build's FP8 class) requires it, and
-    # the build carries GGML_CUDA_FA_ALL_QUANTS=ON.
-    [ "$(argv_value --cache-type-k)" = "f16" ]
-    [ "$(argv_value --cache-type-v)" = "f16" ]
+    [ "$(argv_value --cache-type-k)" = "$env_k" ]
+    [ "$(argv_value --cache-type-v)" = "$env_v" ]
    [ "$(argv_value --flash-attn)" = "on" ]
 }

@@ -105,8 +105,10 @@ 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 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()
+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"
 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
Author	SHA1	Message	Date
Frank	f48b45c1fa	frank-zealot: sweep the live path — serve defaults, unit text, picker docs - serve script: header + every fallback default re-keyed to the Bonsai-2 trio (vendor LLAMA_BIN, PQ2_0 MODEL_FILE, Q8_0 MMPROJ) and CACHE_TYPE_*:=q8_0 — a defaulted run must land on the shipped shape, never on the retired 9B/f16 pair (the trial window proved a silent default is how a swap goes wrong) - unit Description now names the payload + KV dtype that `systemctl status` will show during the next incident - OpenWebUI decoration-row description re-keyed, with the law that the row is live DB state a swap must follow into the database	2026-10-17 19:42:13 -07:00
Frank	322ebb1658	docs(AGENTS): fleet topology + llama.cpp laws for the PQ2_0 zealot era - topology row + zealot section: PrismML vendor build, Bonsai-2 PQ2_0, q8_0 KV, measured ledger; runbook index active/retired rows - new durable laws: custom-tensor-type runtime door (vendor build is forced), mmproj outside the engine fit projection, first-request warmup artifact, thinking-budget probe traps + load-bearing reasoning_effort fold	2026-10-17 19:41:11 -07:00
Frank	7706e06775	docs(frank-zealot): Prism Bonsai-2 PQ2_0 runbook; indexes and log re-keyed - new runbook: runtime lock (build 10754 / type 142 door), geometry census, four-arm VRAM table (f16 wall, q8_0 deployed, q4_0 rung, 2x262,144), measured rate ladder, behavior contract, ops notes - LLM/index.md + vault root index: new ACTIVE entry, 9B era retired in place - log.md: the trial+cutover wave record, incl. the env-var-name law	2026-10-17 19:41:11 -07:00
Frank	f383038437	homepage: zealot card -> Ternary-Bonsai-2 PQ2_0 (censored base) - card/docs: prism-ml payload link, PQ2_0 spec, ~77 t/s (measured single stream, replacing the 9B's ~95) - warning re-keyed: zealot is no longer an uncensored endpoint, so the card carries the base-alignment notice and points uncensored work at dragoon; the test's "common uncensored text" equality (zealot==dragoon) is retired with the payload it described — dragoon alone carries the legal warning	2026-10-17 19:40:56 -07:00
Frank	64185d63b9	frank-zealot: cutover to Ternary-Bonsai-2 PQ2_0 with q8_0 KV - env: Bonsai2 payload pair, CACHE_TYPE_K/V=q8_0 (f16 OOMs at 2x200,704: 34 KiB vs 64 KiB/token over the 16 full-attention layers), measured boot ledger 22,664 used / 1,461 free incl. the 873 MiB mmproj that lands AFTER the engine fit check, q4_0 fallback rung, CRACK one-line MODEL_FILE swap - deployer: runtime/model/mmproj gates re-keyed to the PrismML vendor build (the only loader for GGML tensor type 142 + prism.hadamard.* metadata) - seam: payload trio pinned; KV argv assertions now derived from CACHE_TYPE_* in the env file — the wrong-var-name f16 fallback that produced the first failed trial window can no longer pass silently	2026-10-17 19:40:56 -07:00
Frank	430c42ab18	frank-zealot: Bonsai2 PQ2_0 candidate fetch script (official LFS shas; CRACK variant documented, unpinned)	2026-10-17 19:40:56 -07:00
dank	3ccc1e554f	Update README.md	2026-10-15 18:22:22 -07:00
dank	7a69c31128	Update README.md	2026-10-15 18:14:53 -07:00
Frank	f96898d4c5	docs(authentik): pk 22-23 provisioned — mitch + eric in the human-user template	2026-10-15 15:20:15 -07:00
Frank	3e140cd077	docs(log): iq4r swap cutover record — e2e 33/33 after gluetun boot-race repair	2026-10-15 05:53:42 -07:00
Frank	c5ac0725f7	docs(frank-archon): iq4r first-boot ledger — pin 1.0.13 loads w4nl, geometry verbatim kv_attn 26.00 KiB fp8 pages at 607,740 tokens (identical to the w4dn8 boot), slab 17,610/17,658 slots per rank (above w4dn8's 17,548 — ten bf16-protected experts per layer pack more of the 4-bit table), sampler 9 rows, MTP 2/step, KV lending 4.22 GiB, prefix tier recovered 900,176 blocks across the payload swap. Vision probe green (reasoning read the solid-red PNG; empty content at 64 tokens = the thinking-budget law). e2e gate RED on three dankclaw specs: Marreta was down since the 01:41 dankclaw reboot (marreta-browser dependency-failed at boot beside gluetun, not re-armed); pair restarted manually, redeploy rerunning the gate.	2026-10-15 05:44:09 -07:00
Frank	f44c39812f	docs(frank-archon): iq4r era runbook + index/AGENTS re-key New runbook frank-archon-radiance-qwen38-iq4r.md (publisher container, payload chain, shape-verbatim cutover record with the boot-ledger and measurement slots left open for the first boot, rollback). LLM index, root vault index, and AGENTS.md (fleet table row, section, runbook index: iq4r ACTIVE, w4dn8 RETIRED/on-disk, fp8-native deleted). Full suite green.	2026-10-15 04:16:28 -07:00
Frank	6dcf4a5913	llm(frank-archon): swap payload to the publisher's iq4r .rad, shape verbatim Model swap on the radiance endpoint: MODEL_FILE moves from the in-house qwen4exp-swift15-w4dn8-i8-hc8m.rad (116,416 MiB) to the engine author's published qwen3.8-next-flash-fp8-iq4r-moe.rad (116,322 MiB, official Qwen3.8-Flash-Next bf16 -> 4-bit non-uniform codebook experts + int8 trunk, card KL 0.0789 / top-1 92.85 % vs bf16). NO argument changed: 25600/5120 vram pair, 44928 host pool, fp8 KV, 3 x 200000, MTP depth 2, wht6, MNBT 2048, froggeric v22.5 — the 2026-10-13 shape carries verbatim. New fetch script scripts/download-frank-archon-iq4r.sh (hfget + exact byte count 121,969,901,568 + LFS sha256, --verify-only default, ungated, no token on the command line). Unit/serve/deployer lore re-keyed; the seam pins the new payload id + sha256 and keeps the w4dn8 rollback provenance. Homepage card points at the publisher repo. Rollback: revert this commit (w4dn8 .rad stays on disk). The fp8-native rad was deleted from dankserver 2026-10-15 (Frank's one-time rm, volume for this payload); rebuild path documented.	2026-10-15 04:10:50 -07:00