Merge origin/main: reconcile the frank-zealot reslice with the dedupe pass

main moved under this campaign — PR #25/#26 resliced the RTX 3090 endpoint.
The frontmatter conflict is resolved in favour of the live shape, confirmed
by re-probe the same day: `--ctx-size 602112 --parallel 3` (3 × 200,704),
`--cache-type-k f16 --cache-type-v q8_0`, `--spec-type draft-mtp`, `--jinja
--reasoning auto`, `--metrics`. The 262,144 figures that remain on the page
are era rows and the checkpoint's trained window, not the live shape.

log.md's 2026-10-19 fleet-state bullet now records both probes and the law
this taught: a docs pass that reports live shapes must re-probe before
writing the number, because main moving mid-campaign makes the first probe
stale.

scripts/deploy-remote.sh

@@ -1459,7 +1459,7 @@ LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-prism-b10
 # image path — a deploy that starts without it silently ships a text-only
 # endpoint. Checked unconditionally, like frank-dragoon's. Q8_0 is MANDATORY,
 # not a preference: the card says the BF16 tower can crash llama-server when
-# several image requests run at once, and this endpoint runs --parallel 2. Its
+# several image requests run at once, and this endpoint runs --parallel 3. Its
 # 868.32 MiB worst-case VRAM (595.29 model + 248.10 compute in the boot ledger)
 # lands AFTER the engine's fit check, so it is not inside the q8_0 budget.
 LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf}"

scripts/frank-zealot.env

@@ -11,35 +11,51 @@ LLAMA_BIN=/home/dank/GitPackages/llama-prism-b10777/llama-server
 # metadata dequantizes wrong, silently.
 MODEL_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf
 # Q8_0 IS MANDATORY: the publisher states the BF16 tower can crash llama-server
-# under concurrent image requests, which is exactly --parallel 2.
+# under concurrent image requests, which is exactly --parallel 3.
 MMPROJ_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf
 # Served id — the harness/family name, not a fact about the payload.
 # Id-keyed consumers: OpenWebUI (model row, access_grant, api_configs), models.yml.
 ALIAS=frank-zealot
 BIND_ADDR=0.0.0.0
 LISTEN_PORT=7771
-# CTX_SIZE is the POOL llama.cpp divides across slots: 524,288 / 2 = 262,144 a
-# conversation, each still at the trained window. MUST stay divisible by
-# PARALLEL (the seam enforces it) and models.yml contextWindow quotes the
-# PER-SLOT number — a longer prompt is a 400, never a truncation. The pool
-# cannot go back to 786,432 under exact f16 KV: 24,576 MiB of cache against the
-# 24,123 MiB the driver leaves addressable, before a weight loads.
-CTX_SIZE=524288
-PARALLEL=2
-BATCH_SIZE=4096
+# CTX_SIZE is the POOL llama.cpp divides across slots: 602,112 / 3 = 200,704 a
+# conversation. MUST stay divisible by PARALLEL (the seam enforces it) and
+# models.yml contextWindow quotes the PER-SLOT number — a longer prompt is a
+# 400, never a truncation. The pool is bought, not granted: K+V at 25,088
+# B/token is 14,406.00 MiB here and the MTP draft context bills its own f16 KV
+# over the WHOLE pool (4,096 B/position ⇒ 2,352.00 MiB), so the old 786,432
+# pool cannot carry a drafter at any KV dtype — 18,816 + 3,072 of cache alone
+# against the 24,123 MiB the driver leaves addressable.
+CTX_SIZE=602112
+PARALLEL=3
+# The logical batch is VRAM- and throughput-neutral at a fixed ubatch (the law
+# on [[frank-zealot]]); 1024×6 keeps it a clean multiple of the ubatch.
+BATCH_SIZE=6144
 # Ubatch is a prefill knob (decode never moves with it) and it sets the
-# compute-buffer size — which is what decides whether a drafter fits.
-# UBATCH_SIZE=1024 is the documented MTP arm.
-UBATCH_SIZE=2048
-# Exact K and V: the retrieval-fidelity ask, paid with one conversation of
-# concurrency. Rate law and the arithmetic: [[frank-zealot]] → Laws.
+# compute-buffer size, which decides whether a drafter fits. 1024 is the rung
+# every measured MTP arm here ran on (213.5 t/s against 109.2 at 2048). Its
+# VRAM credit is SHAPE-specific: the 786,432-pool arm census showed ~1,306 MiB
+# back, this boot measured 2,089.88 MiB of target compute against 2,496.13 at
+# ubatch 2048 — 406 MiB back, with the split moving (CUDA0 +257, CUDA_Host
+# −663). The drafter is funded by CACHE_TYPE_V below, not by this knob.
+UBATCH_SIZE=1024
+# K exact, V in the 8-bit class: 16,384 + 8,704 = 25,088 B/token (8,192
+# elements per token per cache × 2 B for f16, × 1.0625 for q8_0 — there is no
+# true fp8 KV dtype in this build). That 7,680 B/token saved against exact V is
+# what funds BOTH the third conversation and the drafter. Quantized V is
+# illegal without --flash-attn, which the serve script pins. Rate law and the
+# arithmetic: [[frank-zealot]] → Laws.
 CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-# Speculation OFF — measured, not assumed: the draft context bills its own f16
-# KV over the WHOLE pool, and there is no room beside exact KV (the arm census
-# is on the page). SPEC_TYPE=none strips the WHOLE set (--spec-type and every
-# --spec-draft-*); half a set has segfaulted at load.
-SPEC_TYPE=none
+CACHE_TYPE_V=q8_0
+# Speculation ON (Frank, 2026-10-19): the head is in the file
+# (qwen35.nextn_predict_layers = 1, blk.32.nextn.*) and rides the MAIN model's
+# weights, so there is no --spec-draft-model. Its bill is pool × 4,096 B of
+# draft KV plus ~0.45 GiB of buffers and a tripled recurrent state — paid for
+# by CACHE_TYPE_V=q8_0 and UBATCH_SIZE=1024 above. Build gate: quantized V
+# beside MTP needs fork build >= b10776; LLAMA_BIN is 10777.
+# SPEC_TYPE=none is the rollback and strips the WHOLE set (--spec-type and
+# every --spec-draft-*); half a set has segfaulted at load.
+SPEC_TYPE=draft-mtp
 SPEC_DRAFT_N_MAX=2
 SPEC_DRAFT_N_MIN=0
 SPEC_DRAFT_P_MIN=0

scripts/serve-frank-zealot.sh

@@ -5,33 +5,45 @@
 #
 # 2026-10-18 (Frank): Bonsai-2 27B PQ2_0 → the 9B MTP export, then the same
 # evening TWO 262,144-token conversations (--ctx-size 524288 --parallel 2) over
-# an UNQUANTIZED f16 KV cache. The 9B bills 8,192 elements per token per cache
-# (8 full-attention layers instead of the 27B's 16), so exact K and V costs
-# 32,768 B/token — 16,384.00 MiB at the 524,288 pool, which is what a 24,123 MiB
-# addressable card can carry beside the trunk. Verbosity 4 ships so the VRAM-fit
-# forensics (KV layout, buffer sizes, graph capture) land in the journal.
+# an UNQUANTIZED f16 KV cache.
+#
+# 2026-10-19 (Frank): THREE 200,704-token conversations over a 602,112 pool
+# (--ctx-size 602112 --parallel 3), K left at the engine's own default (f16),
+# V dropped to q8_0, batch 1024×6 / ubatch 1024, and the MTP drafter ARMED
+# (--spec-type draft-mtp). The 9B bills 8,192 elements per token per cache (8
+# full-attention layers instead of the 27B's 16), so f16 K is 16,384 B/token and
+# q8_0 V is 8,704: 25,088 B/token = 14,406.00 MiB at the 602,112 pool. That
+# 7,680 B/token against exact V is exactly what funds the third conversation
+# AND a draft context that bills f16 KV over the whole pool. Verbosity 4 ships
+# so the VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in
+# the journal.
 #
 # Architecture (engine ledger, not the marketing page): qwen35 hybrid, 32
 # layers with qwen35.full_attention_interval = 4 ⇒ 8 full-attention + 24 Gated
 # DeltaNet, 4 KV heads × 256 dim, native 262,144. The KV pool scales with the 8
-# full layers (16,384.00 MiB of f16 at the 524,288 pool); the DeltaNet layers
-# cost a fixed recurrent state per SLOT — ~50.25 MiB a cell, so 100.50 MiB for
-# two. The runtime is a hard lock, not a preference: custom GGML type 142 plus
-# prism.hadamard.* metadata, which only the vendor build registers (the b10776
-# gate that moved the prebuilt 10754 → 10777 was MTP beside quantized V, which
-# exact KV now makes moot — the type-142 lock alone keeps the build pinned).
+# full layers (14,406.00 MiB of f16 K + q8_0 V at the 602,112 pool); the
+# DeltaNet layers cost a fixed recurrent state per SLOT — ~50.25 MiB a cell, so
+# 150.75 MiB for three, and an armed depth-2 drafter triples that again. The
+# runtime is a hard lock, not a preference: custom GGML type 142 plus
+# prism.hadamard.* metadata, which only the vendor build registers — and the
+# b10776 gate that moved the prebuilt 10754 → 10777 (MTP beside a quantized V)
+# is LOAD-BEARING again on this shape, not moot as it was under exact KV.
 # Vision comes from the publisher's Q8_0 projector (the BF16 one can crash the
-# server on concurrent images, and this endpoint runs two slots), so --mmproj is
+# server on concurrent images, and this endpoint runs three slots), so --mmproj is
 # what gives this endpoint eyes; MMPROJ_FILE="" is the documented text-only
 # opt-out.
 #
-# Speculative decoding ships OFF, measured: the head loads and accepts well
-# (0.798/0.617 per position, mean length 2.41) but the draft context bills its
-# own f16 KV over the WHOLE pool — 4,096 B/position × 524,288 = 2,048 MiB plus
-# buffers — and the trunk already projects 21,234 MiB with exact KV. Exact KV
-# and MTP cannot share this card; frank-zealot.env carries the q8_0-era arm table
-# and the two doors back to the drafter (one window, or KV back to q8_0 at
-# --ubatch-size 1024 for 213.5 t/s).
+# Speculative decoding ships ON (Frank, 2026-10-19). The head is IN the file and
+# accepts well (0.798/0.617 per position, mean length 2.41, measured 2026-10-18);
+# what made it lose that evening was the bill, not the drafts — the draft context
+# is built against the target's WHOLE pool, so blk.32 adds 4,096 B/position
+# (2,352.00 MiB at 602,112) plus 480.97 MiB of its own compute buffers on the
+# card, and it triples the recurrent state per slot (452.25 MiB for three cells
+# against 50.25 a cell with the drafter off). CACHE_TYPE_V=q8_0 is what pays
+# that: 7,680 B/token cheaper than exact V, 4,410 MiB at this pool. The ubatch
+# drop to 1024 contributes ~406 MiB here, NOT the ~1,306 the 786,432-pool census
+# showed — that figure does not transfer between shapes. SPEC_TYPE=none is
+# the rollback and strips the whole flag set.
 #
 # Sampling: the checkpoint carries the publisher's thinking recipe as GGUF
 # metadata (general.sampling.* = temp 1.0 / top_p 0.95 / top_k 20 / min_p 0 /
@@ -58,49 +70,46 @@ fi
 : "${ALIAS:=frank-zealot}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7771}"
-# ctx-size is the POOL llama.cpp divides across slots: 524,288 / 2 = 262,144
-# per conversation — every slot still at the model's trained window. The harness
-# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
-# with a 400, never truncated. Under exact KV the pool cannot stay at 786,432:
-# 32,768 B/token × 786,432 = 24,576 MiB, more than the card's whole addressable
-# 24,123 MiB before a single weight loads.
-: "${CTX_SIZE:=524288}"
-: "${PARALLEL:=2}"
+# ctx-size is the POOL llama.cpp divides across slots: 602,112 / 3 = 200,704 a
+# conversation. The harness contextWindow MUST quote the PER-SLOT number — a
+# longer prompt is answered with a 400, never truncated. The pool is priced by
+# the KV bill, not by the trained window: at 25,088 B/token (f16 K + q8_0 V) the
+# 602,112 pool costs 14,406.00 MiB and the armed drafter adds its own f16 KV over
+# the whole pool (2,352.00 MiB). Exact V at this pool (18,816 MiB) or the old
+# 786,432 pool at any dtype cannot boot inside the 24,123 MiB the driver leaves
+# addressable.
+: "${CTX_SIZE:=602112}"
+: "${PARALLEL:=3}"
 # Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
-# 2048 is the measured CUDA optimum (MiMo era, same arch/shape: +4.6 % prefill
-# at 8.9k depth, decode flat, 616 MiB). The logical batch is VRAM- and
-# throughput-neutral at a fixed ubatch. It ALSO sets the compute-buffer size,
-# which is the term that decides whether an MTP draft context fits beside a KV
-# pool: 1024 hands back 1,306 MiB and was the arm that ran the drafter at three
-# q8_0 windows (frank-zealot.env carries the table).
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=2048}"
-# Exact KV: f16 K + f16 V — no quantization error anywhere in the attention
-# state. 32 KiB/token at this geometry (8 full-attention layers × 4 KV heads ×
-# 256 dim × 2 B × 2 caches); 16,384.00 MiB at the 524,288 pool. That is the whole
-# reason the slot count is 2: the same dtype at the old 786,432 pool is 24,576
-# MiB and dies at cudaMalloc. q8_0 K + q8_0 V (17,408 B/token, 13,056.00 MiB at
-# 786,432) is the documented fallback rung and funds three windows; CACHE_TYPE_V
-# alone is the halfway door. Explicit either way so the contract is visible in
-# the argv, and --flash-attn stays pinned because quantized V — the fallback —
-# is illegal without it (no true fp8 KV dtype exists in this build).
+# The logical batch is VRAM- and throughput-neutral at a fixed ubatch, so 6144
+# (1024×6) is free; the ubatch is what sets the compute-buffer size, and 1024 is
+# the rung every measured MTP arm here ran on (213.5 t/s at 1024 against 109.2
+# at 2048) — worth ~406 MiB at THIS shape, not the ~1,306 the old pool showed.
+: "${BATCH_SIZE:=6144}"
+: "${UBATCH_SIZE:=1024}"
+# Asymmetric KV: f16 K (the engine's own default, spelled out so the contract is
+# visible in argv) + q8_0 V. 8,192 elements per token per cache (8 full-attention
+# layers × 4 KV heads × 256 dim) ⇒ 16,384 B/token for K and 8,704 for V (q8_0 is
+# 1.0625 B/element — llama.cpp has no true fp8 KV dtype), 25,088 B/token and
+# 14,406.00 MiB at the 602,112 pool. That is the halfway door between exact KV
+# (32,768 B/token, which costs the third conversation and the drafter both) and
+# the fully quantized pair (17,408 B/token, which costs retrieval fidelity in the
+# keys); --flash-attn stays pinned because quantized V is illegal without it.
 : "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-# Speculative decoding defaults OFF, measured on this card and shape: the head
-# IS in the checkpoint (qwen35.nextn_predict_layers = 1 — MTP is a property of
-# the FILE, so the plain PQ2_0 sibling could not run it at any flag value), it
-# loads, and it accepts well (mean accepted length 2.41) — but the draft context
-# bills its own f16 KV over the WHOLE pool (4,096 B/position, 2,048 MiB at the
-# 524,288 pool) and at ubatch 2048 that squeeze halves decode: 167.2 → 109.2 t/s
-# on the q8_0 3-slot shape. The draft cache dtype IS a knob (--spec-draft-type-k
-# / --spec-draft-type-v, both default f16 — verified in this build's --help), so
-# an armed drafter can halve its own bill; there is no --spec-draft-model because
-# the draft rides the main model's weights. Card gate: quantized V alongside MTP
-# needs fork build >= prism-b10776, which is why LLAMA_BIN moved to the 10777
-# prebuilt; exact KV removes that gate but NOT the type-142 loader lock.
-# SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024 is the documented MTP arm (213.5 t/s);
-# SPEC_TYPE=none strips the whole set (flags move together).
-: "${SPEC_TYPE:=none}"
+: "${CACHE_TYPE_V:=q8_0}"
+# Speculative decoding defaults ON: the head IS in the checkpoint
+# (qwen35.nextn_predict_layers = 1 — MTP is a property of the FILE, so the plain
+# PQ2_0 sibling could not run it at any flag value) and the draft context rides
+# the MAIN model's weights, so there is no --spec-draft-model. Its bill is the
+# target's whole pool at 4,096 B/position plus ~0.45 GiB of buffers at this
+# ubatch and a tripled recurrent state; CACHE_TYPE_V=q8_0 and UBATCH_SIZE=1024
+# above are what pay for it. The draft cache dtype IS a further knob
+# (--spec-draft-type-k / --spec-draft-type-v, both default f16 — verified in this
+# build's --help) and stays at its default here. Card gate: quantized V alongside
+# MTP needs fork build >= prism-b10776, which is why LLAMA_BIN is the 10777
+# prebuilt; the type-142 loader lock keeps it pinned regardless.
+# SPEC_TYPE=none is the rollback and strips the whole set (flags move together).
+: "${SPEC_TYPE:=draft-mtp}"
 : "${SPEC_DRAFT_N_MAX:=2}"
 : "${SPEC_DRAFT_N_MIN:=0}"
 : "${SPEC_DRAFT_P_MIN:=0}"