diff --git a/persistent-memory.md b/persistent-memory.md
index 3df2089..663a16e 100644
--- a/persistent-memory.md
+++ b/persistent-memory.md
@@ -124,7 +124,7 @@ _As of 2026-10-05 ~2035 PT. The newest subsection is first; older subsections ca
 - **Scheduled / to verify:** 10-05 0815 + 0900 infra-hermes jobs (sfsrv-ana `pre-pbs4` snapshot delete after its 04:00 backup; drop `pve/root-pre-pve9` on pfi-pve + esh-pve) — outcome not checked in this session, read `scripts/ops-log tail`; esh-nas-pve `nvme/ROOT@pre-pve9` destroy ~10-10 (ours); 10-11 0540 first weekly sudo-io archiver run (check it), 10-11 0900 infra-hermes deletes the two one-off PBS VM vzdumps. Never `zpool upgrade` any pool yet.
 - **Worldtree memory gate 20261004T143011Z FAILED** (one run filed the forbidden `u-negative-ephemeral` fact; an esh-pve reboot overlapped run 1). Whether the 2026-10-05 0730 run repeated it was not checked here; it is a regression check with worldtree-dev, not a gate.
 - **Small clean-ups, ours, untracked:** stale LiteLLM aliases `erp-tune-v2` and `gemma4-26b-a4b-it-base`; ana-docker's Traefik (`readTimeout` 10m) and CrowdSec (`use_wal`, bouncer `updateMaxFailure: 3`) configs live only on the host, not in `stacks/`; TEI weights revision unpinned on esh-ml1 + nh3-ml1; a stray nginx `.bak` on pfi-tacticalrmm.
-- **fv-ml1 KV pins APPLIED 2026-10-05 2131–2139 (Prime's call; `playbooks/fv-ml1-kv-pin-20261005.yaml`, elway all green).** Diagnosis: on GPU 1, `vllm-meromero-rp` sized KV from util 0.52, and vLLM's profile is corrupted by co-booting neighbours (non-torch 8.11 → 1.74 → −0.56 GiB; KV 20.37 → 26.74 → 29.04 GiB). The 0234 Docker-move restart cost GPU 1 ~2.5 GB (Beszel step), so intern-decision's 32k calls were ~2.4 GB short. GPU 0 has no step: it CREEPS for 1–2 days after a boot and plateaued at ~60 MiB free (Beszel 10-03→10-05). The 10-01 "~1.05 GB free" was a just-after-restart read. Changes: meromero KV pinned **22 GiB** (346,436 tokens, 1.32×), util 0.52 → 0.47 (boot check only); coder pinned **1,104,674,816 B** (77,056 tokens, unchanged); gen-small KV **8 → 5.5 GiB** (461,215 tokens, 1.76×) so parakeet-nemo STAYS on GPU 0. **GPU 3 stays clear for ad-hoc work (Prime).** Result: GPU 1 Free 3,981 → **11,801** MiB (~5.4 GB spare at intern-decision's 32k peak); GPU 0 Free 495 → 5,039 right after boot, projected plateau ~2.6 GB, which covers parakeet's 3,840 MiB cap with ~0.9 GB to spare. ⚠ **Verify the GPU 0 plateau ~10-07/08** from Beszel (`stats.g.0.mu` × 1.024). Downtime: char-rp ~2 min, coder ~1 min, gen-small ~4 min (57 s compile miss). .env backups `*.env.bak-20261005-kvpin`. **Park 75 (TTS stack → fv-ml1) DROPPED** by Prime 2026-10-05 2115 (comment 63).
+- **fv-ml1 GPU 0/1 REBALANCED 2026-10-05 2226–2249 (Prime: "accept all that" + "context up to published maximums if at all possible"; `playbooks/fv-ml1-rebalance-20261005.yaml`, elway all green, gateway smoke tests pass).** It follows the 2131 KV pins (meromero 22 GiB, coder pinned, gen-small 5.5 GiB). Why: on a shared card util-sized KV is a co-boot lottery, and GPU 0 creeps to ~60 MiB free after a boot. Rule: KV ≥ 1.25× the seat's max context, rounded up to 0.5 GiB. Two exceptions: meromero and gen-small keep Prime's numbers, and voices gets 1.07× (short prose traffic). Usage basis: 7 days of LiteLLM logs (gen-small 22,396 calls; sec 400; char-rp-fast 55; char-rp 14) plus the engines' own KV logs. **Layout:** GPU 0 = cyberprev, erp-seat, voices, coder, parakeet-nemo (4,036 MiB free right after; ~2.3 GB spare at parakeet's cap; cyberprev may still creep). GPU 1 = gen-small, meromero-rp, intern-decision (10,864 free; ~3.3 GB spare at the 32k peak once gen-small settles). Contexts raised: coder 16,384 → **32,768** (card max), voices 8,192 → **40,960** (native max). YaRN extensions were NOT enabled (gen-small/cyberprev to ~1M, voices to 131k). They don't fit, and Qwen's own cards warn static YaRN hurts short prompts. intern-decision stays at 32,768 (card default 8,192; base config 262k; ~0.21 MiB/token of VRAM). **gen-small default output cap 32,768** (`--override-generation-config`; an explicit max_tokens still wins, verified in vLLM `get_max_tokens`). It answers 9 runaway ~260k-token replies in 7 days (albok-nemi ×6, all-agents-local ×3, all from nh3-dev); albok-dev told 2250. ⚠ **Verify both cards' plateaus ~10-07/08** from Beszel (`stats.g.<n>.mu` × 1.024). .env backups `*.env.bak-20261005-rebal`. Earlier the same night: KV pins 2131–2139 (`playbooks/fv-ml1-kv-pin-20261005.yaml`; diagnosis in commit 269c80f). Park 75 dropped by Prime 2115.
 - **Open, Prime's calls (unchanged from 10-03):** QNAP LCD visual check (`services/qnap-lcd/`); NH3 Mac mini (`Mac-mini`, 00:c5:85:13:e0:92, 10.100.10.121, asleep since 10-03 ~1407) wake fix on site: `sudo pmset -a sleep 0 disksleep 0 displaysleep 10 womp 1 autorestart 1 powernap 0`, ideally Ethernet; Booth unreachable from 10.100.10.166 (Prime's Wi-Fi MacBook; resume only on his word; lead: SSID client isolation / proxy-ARP); Uptime Kuma has nothing on Miranda's chain (svos :8770, hermes-gateway); mask `openipmi.service` on esh-nas-pve; run `playbooks/pve-nag-patch.yaml` on esh-pve-2 when it is plugged back in.
 
 ### Parakeet speech seat: unified-en under NeMo, LIVE (2026-10-01)
@@ -152,11 +152,21 @@ _As of 2026-10-05 ~2035 PT. The newest subsection is first; older subsections ca
 - **Legacy archive:** DESTROY it whole by **2026-10-30**, or at retirement-done, or on a subject-erasure request, whichever comes first. The runbook is in the detail file.
 - **TODO:** re-sweep both api logs after real traffic. After the b193 push, remove the retired config keys (list: detail file, "Post-b193 config retirements").
 
-### fv-ml1 GPU layout (as of 2026-10-05)
+### fv-ml1 GPU layout (as of 2026-10-05 2249)
 
-- **GPU 0:** cyberprev (KV 16 GiB pinned), gen-small (KV 5.5 GiB pinned since 2026-10-05), voices (KV 1.5 GiB), parakeet-nemo (rest 2,108 MiB, cap 3,840). Plateau target ~2.6 GB free (verify ~10-07/08).
-- **GPU 1:** vllm-coder, erp-seat, meromero-rp (all KV byte-pinned since 2026-10-05), plus intern-decision (cap 14.4 GiB, 32k tokens, peak 15,220). Free 11,801 MiB at rest → ~5.4 GB spare at its peak.
-- **GPU 2:** `vllm-flash-next` alone (gen / gen-large and 6 other aliases, util 0.96, ~96.4 GB). Live since 2026-09-14; henge park 49 is stale.
+| GPU | seat | max ctx | KV | KV tokens | concurrency |
+|---|---|---|---|---|---|
+| 0 | cyberprev (sec) | 262,144 | 15 GiB | 336,935 | 1.29× |
+| 0 | erp-seat (char-rp-fast) | 262,144 | 5.5 GiB | 346,436 | 1.32× |
+| 0 | voices | 40,960 | 6 GiB (bf16) | 43,680 | 1.07× |
+| 0 | coder (coder-fast) | 32,768 | 1.03 GiB | 77,056 | 2.35× |
+| 0 | parakeet-nemo | audio | rest 2,108 MiB, cap 3,840 | — | — |
+| 1 | gen-small (+summarizer/classifier) | 262,144 | 5.5 GiB | 461,215 | 1.76× (default output cap 32,768) |
+| 1 | meromero-rp (char-rp) | 262,144 | 22 GiB | 346,436 | 1.32× |
+| 1 | intern-decision | 32,768/call | cap 14.4 GiB, peak 15,220 | — | — |
+| 2 | flash-next (gen, gen-large, +6) | 262,144 | — | 344,155 | 1.31× |
+
+Every vLLM seat on a shared card (GPU 0, GPU 1) has byte-pinned KV (`--kv-cache-memory`), so util only gates the boot check and is set just above each footprint. flash-next is alone on GPU 2 and stays util-sized (0.96).
 - **GPU 3:** clear for ad-hoc work (Prime, 2026-10-05); no always-resident tenant goes here. On-demand tenants: Blender, Scriberr (0 idle, ~5.5 GB per job), and MIA auto-rig (one-shot `scripts/mia-run`, peak 3.4 GB, added 2026-10-01 for dread-dev). When a full-size seat claims GPU 3, Scriberr steps aside to **irv-ml1's A6000**, not back to GPU 1.
 
 ### intern-decision (replaced SemIf on 2026-09-30)
diff --git a/playbooks/fv-ml1-rebalance-20261005.yaml b/playbooks/fv-ml1-rebalance-20261005.yaml
new file mode 100644
index 0000000..99059b6
--- /dev/null
+++ b/playbooks/fv-ml1-rebalance-20261005.yaml
@@ -0,0 +1,223 @@
+# Rebalance fv-ml1 GPUs 0 and 1 (2026-10-05, Prime: "accept all that", plus "all models need
+# context lengths up to their published maximums if at all possible"). GPU 2 (flash-next) and
+# GPU 3 (clear for ad-hoc work) are not touched; meromero-rp and intern-decision are not touched.
+#
+#   seat        before                          after
+#   gen-small   GPU 0, KV 5.5 GiB, ctx 262,144  GPU 1, same KV/ctx, default output cap 32,768
+#   erp-seat    GPU 1, KV 8.49 GiB, util 0.24   GPU 0, KV 5.5 GiB, util 0.25
+#   coder       GPU 1, ctx 16,384, util 0.055   GPU 0, ctx 32,768 (card maximum), util 0.06
+#   voices      GPU 0, ctx 8,192, KV 1.5 GiB    GPU 0, ctx 40,960 (config/card native), KV 6 GiB, util 0.16
+#   cyberprev   GPU 0, KV 16 GiB                GPU 0, KV 15 GiB
+#
+# Order keeps every boot check satisfied and never stacks a seat onto a card without room:
+# stop erp + coder (frees GPU 1) -> gen-small to GPU 1 -> coder to GPU 0 -> voices in place ->
+# erp to GPU 0 -> cyberprev in place. Each seat must come back healthy with the expected KV/ctx
+# line before the next is touched; elway halts on the first failure.
+#   scripts/elway infra-ops@10.251.50.54 --playbook playbooks/fv-ml1-rebalance-20261005.yaml
+# Rollback per seat: restore its .env.bak-20261005-rebal (+ compose.yaml from git), then
+# `docker compose up -d --no-deps <service>` in the stack dir, mind the order above.
+vars:
+  base: /opt/docker/compose
+  gens_dir: /opt/docker/compose/gen-small-seat
+  erp_dir: /opt/docker/compose/erp-seat
+  vllm_dir: /opt/docker/compose/vllm
+  voices_dir: /opt/docker/compose/voices-seat
+  cyber_dir: /opt/docker/compose/cyberprev-seat
+  check: /tmp/rebal-gpucheck.sh
+  wait: /tmp/rebal-wait-healthy.sh
+
+steps:
+  - name: upload helpers
+    upload:
+      src: scripts/oneoff/fv-ml1-gpucheck.sh
+      dest: "{{ check }}"
+      mode: "0755"
+  - name: upload wait helper
+    upload:
+      src: scripts/oneoff/wait-healthy.sh
+      dest: "{{ wait }}"
+      mode: "0755"
+
+  - name: back up the five .env files once
+    sudo: true
+    shell: for d in {{ gens_dir }} {{ erp_dir }} {{ vllm_dir }} {{ voices_dir }} {{ cyber_dir }}; do cp -p $d/.env $d/.env.bak-20261005-rebal; done
+    creates: "{{ cyber_dir }}/.env.bak-20261005-rebal"
+
+  # ---------- 1. free GPU 1: stop erp + coder (both near idle: 55 and 4 gateway calls/7d) ----------
+  - name: stop erp-seat (until it is recreated on GPU 0)
+    shell: docker stop vllm-erp-seat
+    when: "! docker inspect vllm-erp-seat | grep -q 5905580032"
+  - name: stop coder (until it is recreated on GPU 0)
+    shell: docker stop vllm-coder
+    when: "! docker inspect vllm-coder | grep -q '\"32768\"'"
+
+  # ---------- 2. gen-small -> GPU 1, default output cap ----------
+  - name: gen-small .env GPU 0 -> 1
+    sudo: true
+    shell: sed -i 's/^GEN_SMALL_GPU_ID=.*/GEN_SMALL_GPU_ID=1/' {{ gens_dir }}/.env
+    when: "! sudo -n grep -qx 'GEN_SMALL_GPU_ID=1' {{ gens_dir }}/.env"
+  - name: gen-small upload compose (adds --override-generation-config)
+    sudo: true
+    upload:
+      src: stacks/gen-small-seat/compose.yaml
+      dest: "{{ gens_dir }}/compose.yaml"
+      mode: "0644"
+      owner: "root:root"
+  - name: gen-small dry-parse; rendered config carries the cap and GPU 1
+    sudo: true
+    shell: cd {{ gens_dir }} && docker compose config -q && docker compose config | grep -q max_new_tokens && docker compose config | grep -A3 device_ids | grep -q '"1"'
+    changed_when: "false"
+  - name: gen-small boot check on GPU 1 (util 0.33)
+    shell: "{{ check }} 1 0.33"
+    when: "! docker inspect vllm-gen-small | grep -q max_new_tokens"
+    changed_when: "false"
+  - name: gen-small recreate on GPU 1
+    sudo: true
+    shell: cd {{ gens_dir }} && docker compose up -d --no-deps vllm-gen-small
+    when: "! docker inspect vllm-gen-small | grep -q max_new_tokens"
+  - name: gen-small healthy
+    shell: "{{ wait }} vllm-gen-small 1500"
+    changed_when: "false"
+  - name: gen-small KV line and output cap in the log
+    shell: |
+      docker logs vllm-gen-small 2>&1 | grep -E 'GPU KV cache size|max_tokens' | tail -3
+      docker logs vllm-gen-small 2>&1 | grep -q 'reserved 5.5 GiB memory for KV Cache'
+    changed_when: "false"
+
+  # ---------- 3. coder -> GPU 0, context 32,768 ----------
+  - name: coder .env GPU 0, ctx 32768, util 0.06
+    sudo: true
+    shell: sed -i -e 's/^CODER_GPU_ID=.*/CODER_GPU_ID=0/' -e 's/^CODER_MAX_MODEL_LEN=.*/CODER_MAX_MODEL_LEN=32768/' -e 's/^CODER_GPU_MEM_UTIL=.*/CODER_GPU_MEM_UTIL=0.06/' {{ vllm_dir }}/.env
+    when: "! grep -qx 'CODER_MAX_MODEL_LEN=32768' {{ vllm_dir }}/.env"
+  - name: coder dry-parse
+    sudo: true
+    shell: cd {{ vllm_dir }} && docker compose config -q && docker compose config | grep -q '"32768"'
+    changed_when: "false"
+  - name: coder boot check on GPU 0 (util 0.06)
+    shell: "{{ check }} 0 0.06"
+    when: "! docker inspect vllm-coder | grep -q '\"32768\"'"
+    changed_when: "false"
+  - name: coder recreate on GPU 0
+    sudo: true
+    shell: cd {{ vllm_dir }} && docker compose up -d --no-deps vllm-coder
+    when: "! docker inspect vllm-coder | grep -q '\"32768\"'"
+  - name: coder healthy
+    shell: "{{ wait }} vllm-coder 600"
+    changed_when: "false"
+  - name: coder KV line at 32,768
+    shell: |
+      docker logs vllm-coder 2>&1 | grep -E 'GPU KV cache size|Maximum concurrency' | tail -2
+      docker logs vllm-coder 2>&1 | grep -q 'GPU KV cache size: 77,056 tokens'
+    changed_when: "false"
+
+  # ---------- 4. voices in place: context 40,960, KV 6 GiB ----------
+  - name: voices .env ctx 40960, KV 6 GiB, util 0.16
+    sudo: true
+    shell: |
+      f={{ voices_dir }}/.env
+      sed -i -e 's/^VOICES_KV_CACHE_MEMORY=.*/VOICES_KV_CACHE_MEMORY=6442450944/' -e 's/^VOICES_GPU_MEM_UTIL=.*/VOICES_GPU_MEM_UTIL=0.16/' $f
+      grep -q '^VOICES_MAX_MODEL_LEN=' $f || sed -i '$a VOICES_MAX_MODEL_LEN=40960' $f
+    when: "! grep -qx 'VOICES_MAX_MODEL_LEN=40960' {{ voices_dir }}/.env"
+  - name: voices upload compose (defaults follow the .env)
+    sudo: true
+    upload:
+      src: stacks/voices-seat/compose.yaml
+      dest: "{{ voices_dir }}/compose.yaml"
+      mode: "0644"
+      owner: "infra-ops:infra-ops"
+  - name: voices dry-parse
+    sudo: true
+    shell: cd {{ voices_dir }} && docker compose config -q && docker compose config | grep -q '"40960"' && docker compose config | grep -q 6442450944
+    changed_when: "false"
+  - name: voices boot check on GPU 0 (util 0.16, own memory counts)
+    shell: "{{ check }} 0 0.16 vllm-voices"
+    when: "! docker inspect vllm-voices | grep -q 6442450944"
+    changed_when: "false"
+  - name: voices recreate
+    sudo: true
+    shell: cd {{ voices_dir }} && docker compose up -d --no-deps vllm-voices
+    when: "! docker inspect vllm-voices | grep -q 6442450944"
+  - name: voices healthy
+    shell: "{{ wait }} vllm-voices 1200"
+    changed_when: "false"
+  - name: voices KV line at 40,960
+    shell: |
+      docker logs vllm-voices 2>&1 | grep -E 'GPU KV cache size' | tail -1
+      docker logs vllm-voices 2>&1 | grep -q 'reserved 6.0 GiB memory for KV Cache'
+    changed_when: "false"
+
+  # ---------- 5. erp-seat -> GPU 0, KV 5.5 GiB ----------
+  - name: erp .env GPU 0, KV 5.5 GiB, util 0.25
+    sudo: true
+    shell: sed -i -e 's/^ERP_GPU_ID=.*/ERP_GPU_ID=0/' -e 's/^ERP_KV_CACHE_MEMORY=.*/ERP_KV_CACHE_MEMORY=5905580032/' -e 's/^ERP_GPU_MEM_UTIL=.*/ERP_GPU_MEM_UTIL=0.25/' {{ erp_dir }}/.env
+    when: "! grep -qx 'ERP_KV_CACHE_MEMORY=5905580032' {{ erp_dir }}/.env"
+  - name: erp upload compose (label says GPU0)
+    sudo: true
+    upload:
+      src: stacks/erp-seat/compose.yaml
+      dest: "{{ erp_dir }}/compose.yaml"
+      mode: "0644"
+      owner: "lkraven:lkraven"
+  - name: erp dry-parse
+    sudo: true
+    shell: cd {{ erp_dir }} && docker compose config -q && docker compose config | grep -q 5905580032
+    changed_when: "false"
+  - name: erp boot check on GPU 0 (util 0.25)
+    shell: "{{ check }} 0 0.25"
+    when: "! docker inspect vllm-erp-seat | grep -q 5905580032"
+    changed_when: "false"
+  - name: erp recreate on GPU 0
+    sudo: true
+    shell: cd {{ erp_dir }} && docker compose up -d --no-deps vllm-erp-seat
+    when: "! docker inspect vllm-erp-seat | grep -q 5905580032"
+  - name: erp healthy
+    shell: "{{ wait }} vllm-erp-seat 1200"
+    changed_when: "false"
+  - name: erp KV line
+    shell: |
+      docker logs vllm-erp-seat 2>&1 | grep -E 'GPU KV cache size' | tail -1
+      docker logs vllm-erp-seat 2>&1 | grep -q 'reserved 5.5 GiB memory for KV Cache'
+    changed_when: "false"
+
+  # ---------- 6. cyberprev in place: KV 16 -> 15 GiB ----------
+  - name: cyberprev .env KV 15 GiB
+    sudo: true
+    shell: sed -i 's/^CYBER_KV_CACHE_MEMORY=.*/CYBER_KV_CACHE_MEMORY=16106127360/' {{ cyber_dir }}/.env
+    when: "! sudo -n grep -qx 'CYBER_KV_CACHE_MEMORY=16106127360' {{ cyber_dir }}/.env"
+  - name: cyberprev dry-parse
+    sudo: true
+    shell: cd {{ cyber_dir }} && docker compose config -q && docker compose config | grep -q 16106127360
+    changed_when: "false"
+  - name: cyberprev boot check on GPU 0 (util 0.40, own memory counts)
+    shell: "{{ check }} 0 0.40 vllm-cyberprev"
+    when: "! docker inspect vllm-cyberprev | grep -q 16106127360"
+    changed_when: "false"
+  - name: cyberprev recreate
+    sudo: true
+    shell: cd {{ cyber_dir }} && docker compose up -d --no-deps vllm-cyberprev
+    when: "! docker inspect vllm-cyberprev | grep -q 16106127360"
+  - name: cyberprev healthy
+    shell: "{{ wait }} vllm-cyberprev 1800"
+    changed_when: "false"
+  - name: cyberprev KV line
+    shell: |
+      docker logs vllm-cyberprev 2>&1 | grep -E 'GPU KV cache size' | tail -1
+      docker logs vllm-cyberprev 2>&1 | grep -q 'reserved 15.0 GiB memory for KV Cache'
+    changed_when: "false"
+
+verify:
+  - name: per-GPU free memory
+    shell: nvidia-smi --query-gpu=index,memory.used,memory.free --format=csv,noheader
+    changed_when: "false"
+  - name: every fv-ml1 GPU seat healthy
+    shell: for c in vllm-cyberprev vllm-gen-small vllm-voices parakeet-nemo intern-decision vllm-meromero-rp vllm-erp-seat vllm-coder vllm-flash-next; do docker ps -q --filter name=^$c$ --filter health=healthy | grep -q . || { echo "NOT healthy $c"; exit 1; }; done
+    changed_when: "false"
+  - name: .env owners and modes unchanged
+    sudo: true
+    shell: |
+      test "$(stat -c '%U %a' {{ gens_dir }}/.env)" = "root 600" &&
+      test "$(stat -c '%U %a' {{ cyber_dir }}/.env)" = "root 600" &&
+      test "$(stat -c '%U %a' {{ erp_dir }}/.env)" = "lkraven 644" &&
+      test "$(stat -c '%U %a' {{ vllm_dir }}/.env)" = "lkraven 644" &&
+      test "$(stat -c '%U %a' {{ voices_dir }}/.env)" = "infra-ops 664"
+    changed_when: "false"
diff --git a/scripts/oneoff/fv-ml1-gpucheck.sh b/scripts/oneoff/fv-ml1-gpucheck.sh
new file mode 100755
index 0000000..6e86b24
--- /dev/null
+++ b/scripts/oneoff/fv-ml1-gpucheck.sh
@@ -0,0 +1,25 @@
+#!/bin/bash
+# fv-ml1-gpucheck.sh — the vLLM boot-check arithmetic, run before (re)creating a seat.
+#
+#   fv-ml1-gpucheck.sh <gpu-index> <util> [container]
+#
+# vLLM refuses to start unless the card's free memory >= util x total (97,249 MiB on these
+# cards). Passes when nvidia-smi Free on <gpu-index>, plus <container>'s own memory ON THAT
+# CARD (it is freed when the container is recreated), clears util x 97,249 + 512 MiB.
+# A container that is moving here from another card counts nothing, so leave it off.
+# Uploaded and run by playbooks/fv-ml1-rebalance-20261005.yaml.
+set -u
+gpu=$1 util=$2 own_c=${3:-}
+free=$(nvidia-smi -i "$gpu" --query-gpu=memory.free --format=csv,noheader,nounits)
+own=0
+if [ -n "$own_c" ]; then
+  uuid=$(nvidia-smi -i "$gpu" --query-gpu=uuid --format=csv,noheader)
+  apps=$(nvidia-smi --query-compute-apps=pid,gpu_uuid,used_memory --format=csv,noheader,nounits)
+  for p in $(docker top "$own_c" -eo pid 2>/dev/null | tail -n +2); do
+    m=$(printf '%s\n' "$apps" | awk -F', ' -v p="$p" -v u="$uuid" '$1==p && $2==u {print $3}')
+    own=$((own + ${m:-0}))
+  done
+fi
+need=$(awk -v u="$util" 'BEGIN{printf "%d", u*97249+512}')
+echo "GPU$gpu free=$free own=$own need=$need"
+[ $((free + own)) -ge "$need" ]
diff --git a/scripts/oneoff/wait-healthy.sh b/scripts/oneoff/wait-healthy.sh
new file mode 100755
index 0000000..e34ab2b
--- /dev/null
+++ b/scripts/oneoff/wait-healthy.sh
@@ -0,0 +1,16 @@
+#!/bin/bash
+# wait-healthy.sh <container> <max-seconds> — poll docker health every 10 s until it reads
+# healthy; exit 1 at the deadline, or at once if the container exits or starts restarting.
+# "(unhealthy)" alone does not fail it: a seat whose boot outlasts its healthcheck
+# start_period reads unhealthy and then recovers. Prints the elapsed time either way.
+set -u
+c=$1 max=$2 t=0
+while [ "$t" -lt "$max" ]; do
+  st=$(docker ps -a --filter "name=^${c}$" --format '{{.Status}}')
+  case "$st" in
+    *"(healthy)"*) echo "$c healthy after ${t}s"; exit 0 ;;
+    Exited*|Restarting*|Dead*) echo "$c FAILED after ${t}s: $st"; exit 1 ;;
+  esac
+  sleep 10; t=$((t + 10))
+done
+echo "$c NOT healthy after ${max}s: $st"; exit 1
diff --git a/stacks/cyberprev-seat/.env.example b/stacks/cyberprev-seat/.env.example
index 03cfb46..b4435ea 100644
--- a/stacks/cyberprev-seat/.env.example
+++ b/stacks/cyberprev-seat/.env.example
@@ -31,13 +31,14 @@ CYBER_SERVED_NAME_THINK=cyberprev-27b-thinking
 # 0.40 of the card, sharing GPU 0 with mog-sec. KV pinned in bytes (8 GiB) so the
 # figure is reproducible regardless of what else is resident at start time.
 CYBER_GPU_MEM_UTIL=0.40
-CYBER_KV_CACHE_MEMORY=8589934592
+# 2026-10-05 rebalance: 15 GiB (~337k tokens, 1.29x at 262,144). Live max use seen: 57% of 16 GiB.
+CYBER_KV_CACHE_MEMORY=16106127360
 
 # ⚠ 163840, NOT native 262144. Inherited from mog-sec, which crashed five times
 # learning that the KV pool's capacity and the card's processing depth are different
 # numbers. Raising this requires a deep-prefill probe with a NON-REPEATING prompt on
 # THIS checkpoint — a repeated prompt hashes to cached blocks and never prefills deep.
-CYBER_MAX_MODEL_LEN=163840
+CYBER_MAX_MODEL_LEN=262144
 CYBER_MAX_NUM_SEQS=16
 CYBER_MAX_NUM_BATCHED_TOKENS=4096
 CYBER_KV_CACHE_DTYPE=fp8
diff --git a/stacks/erp-seat/.env.example b/stacks/erp-seat/.env.example
index 759ea03..e240230 100644
--- a/stacks/erp-seat/.env.example
+++ b/stacks/erp-seat/.env.example
@@ -4,12 +4,13 @@ ERP_MODEL=/tank/aimodels/G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16
 ERP_SERVED_NAME=G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16
 ERP_CHAT_TEMPLATE=/tank/aimodels/G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16/chat_template.jinja
 ERP_PORT=8021
-ERP_GPU_ID=1
+# 2026-10-05 rebalance: GPU 0, KV pinned 5.5 GiB (~346k tokens, 1.32x); util = boot check only.
+ERP_GPU_ID=0
 # 0.35 x 97.9 GiB = 34 GiB. GPU1 had ~47 GiB free on 2026-09-08 (scriberr/embed/rerank/coder/reward resident).
-ERP_GPU_MEM_UTIL=0.30
+ERP_GPU_MEM_UTIL=0.25
 ERP_MAX_MODEL_LEN=262144
 ERP_MAX_NUM_SEQS=32
 API_KEY=
 # 8.49 GiB -> 534,649 KV tokens -> 2.04x a 262,144 context (operator's KV = 2x rule).
-ERP_KV_CACHE_MEMORY=9114000000
+ERP_KV_CACHE_MEMORY=5905580032
 ERP_MOE_BACKEND=auto
diff --git a/stacks/erp-seat/README.md b/stacks/erp-seat/README.md
index a1d94fb..1df578c 100644
--- a/stacks/erp-seat/README.md
+++ b/stacks/erp-seat/README.md
@@ -1,4 +1,4 @@
-# erp-seat — ERP-tune seat on ana-ml2 (GPU1, `:8021`)
+# erp-seat — ERP-tune seat on fv-ml1 (ex ana-ml2; GPU0 since 2026-10-05, `:8021`)
 
 Serves the latest gated ERP LoRA merge as an **NVFP4A16** (weight-only) compressed-tensors
 checkpoint so the GX10 is free to train the next run.
@@ -38,7 +38,7 @@ flip plus `docker compose up -d`.*
   json_schema` (guided decoding) 18/18 on this seat** — that is the deterministic path for a
   forced call; `tool_choice: auto` works normally. A parser plugin that re-enables guided JSON
   would also need JSON extraction in the engine-parser path; not attempted.
-- **GPU1 is shared** — check real usage (`nvidia-smi --query-compute-apps=pid,used_memory`) before
+- **GPU0 is shared** (since 2026-10-05: cyberprev, voices, coder, parakeet-nemo; KV pinned 5.5 GiB = 346,436 tokens, 1.32×) — check real usage (`nvidia-smi --query-compute-apps=pid,used_memory`) before
   raising `ERP_GPU_MEM_UTIL`; the flag sizes KV, not CUDA context.
 - **Rollback / next run:** point `ERP_MODEL` + `ERP_SERVED_NAME` at the next quant dir, keep the
   previous on disk. Deploy with `scripts/deploy-stack.sh ana-ml2 erp-seat`.
diff --git a/stacks/erp-seat/compose.yaml b/stacks/erp-seat/compose.yaml
index 94752b5..1b4f43f 100644
--- a/stacks/erp-seat/compose.yaml
+++ b/stacks/erp-seat/compose.yaml
@@ -151,7 +151,7 @@ services:
       - homepage.group=AI - Inference
       - homepage.name=char-rp-fast (MeroMero 26B-A4B, NVFP4A16 MoE)
       - homepage.icon=mdi-fire
-      - homepage.description=MeroMero A4B abliterated RP seat, NVFP4A16 weight-only, vision intact (fv-ml1 GPU1)
+      - homepage.description=MeroMero A4B abliterated RP seat, NVFP4A16 weight-only, vision intact (fv-ml1 GPU0)
       - homepage.href=http://10.251.50.54:${ERP_PORT:-8021}/docs
 
 networks:
diff --git a/stacks/gen-small-seat/.env.example b/stacks/gen-small-seat/.env.example
index cfcd26f..d48149f 100644
--- a/stacks/gen-small-seat/.env.example
+++ b/stacks/gen-small-seat/.env.example
@@ -1,12 +1,13 @@
-# gen-small-seat — Qwen3.6-35B-A3B Heretic (llmfan46), fv-ml1 GPU 0, :8026.
+# gen-small-seat — Qwen3.6-35B-A3B Heretic (llmfan46), fv-ml1 GPU 1 (since 2026-10-05), :8026.
 # Copy to .env on the host at /opt/docker/compose/gen-small-seat/.env.
 
 GEN_SMALL_IMAGE=vllm/vllm-openai:nightly-e9d1398d9edfd90fcc1cf783805240e3effec013
 API_KEY=
 
-# ── Placement ── shares GPU 0 with cyberprev (sec). KV pinned in bytes so the two
+# ── Placement ── shares its card with other seats. KV pinned in bytes so the two
 # co-resident seats don't fight over a util fraction.
-GEN_SMALL_GPU_ID=0
+# 2026-10-05 rebalance: moved to GPU 1 (with meromero-rp and intern-decision).
+GEN_SMALL_GPU_ID=1
 GEN_SMALL_PORT=8026
 GEN_SMALL_CONTAINER_NAME=vllm-gen-small
 
diff --git a/stacks/gen-small-seat/compose.yaml b/stacks/gen-small-seat/compose.yaml
index 0c6cdfc..7a3bb98 100644
--- a/stacks/gen-small-seat/compose.yaml
+++ b/stacks/gen-small-seat/compose.yaml
@@ -1,5 +1,5 @@
 # gen-small-seat — a fast, cheap "gen-small" seat: Qwen3.6-35B-A3B (3B active MoE),
-# Heretic-abliterated, on fv-ml1 GPU 0, :8026.
+# Heretic-abliterated, on fv-ml1 GPU 1, :8026.
 #
 # WHY: a tiny-active (A3B = ~3B active of 35B total) gen tier for high-volume / low-latency
 # work, complementing the big gen seat (flash-next :8022). Operator-directed 2026-09-14.
@@ -59,6 +59,13 @@ services:
       # attention footprint make this cheap; tuned to a sane concurrency band, not max.
       - --kv-cache-memory
       - "${GEN_SMALL_KV_CACHE_MEMORY:-5905580032}"
+      # Default output cap (2026-10-05, Prime). A request that OMITS max_tokens stops at 32,768
+      # instead of max_model_len - prompt; an explicit max_tokens still wins (vLLM get_max_tokens:
+      # request value first, generation-config max_new_tokens only as the fallback). Reason: 9
+      # runaway replies in 7 days, each ~260k tokens over 20+ min (albok-nemi, all-agents-local),
+      # while the longest normal reply was 6,357 tokens.
+      - --override-generation-config
+      - '{"max_new_tokens": 32768}'
       - --max-model-len
       - "${GEN_SMALL_MAX_MODEL_LEN:-262144}"
       - --max-num-seqs
diff --git a/stacks/intern-decision/README.md b/stacks/intern-decision/README.md
index 0cd7fea..1f0ad71 100644
--- a/stacks/intern-decision/README.md
+++ b/stacks/intern-decision/README.md
@@ -92,6 +92,9 @@ service. This container may therefore use its rest (8,812 MiB) plus GPU 1's nvid
 > 3,981 MiB, about 2.4 GB short of a 32k call. Fixed 2131–2135 the same night: meromero and coder now pin KV in
 > bytes (`playbooks/fv-ml1-kv-pin-20261005.yaml`), and `Free` reads **11,801 MiB**, a 20,613 MiB budget, so
 > ~5.4 GB is spare at the 15,220 peak. The static seats can no longer drift across restarts.
+> **Later that night (2226–2249), the GPU 0/1 rebalance** (`playbooks/fv-ml1-rebalance-20261005.yaml`) left this
+> card with gen-small, meromero-rp and this service only. `Free` read 10,864 MiB right after, and should settle
+> near ~9.7 GB once gen-small's post-boot growth levels off. That is a ~18.5 GB budget, so ~3.3 GB spare at the 32k peak.
 
 Measured on the live service (per-process nvidia-smi every 0.1 s; single `noul` question unless noted; n=3, deterministic):
 
diff --git a/stacks/vllm/.env.example b/stacks/vllm/.env.example
index c184c28..0dcab46 100644
--- a/stacks/vllm/.env.example
+++ b/stacks/vllm/.env.example
@@ -83,12 +83,13 @@ HF_TOKEN=
 # and the keyless zed-fim-proxy (stacks/zed-fim-proxy). util 0.06 (~5.7 GB) holds
 # the 1.5B fp16 + fp8 KV; 8192 ctx is ample for FIM (KV = 13.75x concurrency).
 CODER_PORT=8020
-CODER_GPU_ID=1
+# 2026-10-05 rebalance: GPU 0; context raised to the card-published maximum (32,768).
+CODER_GPU_ID=0
 CODER_MODEL=Qwen/Qwen2.5-Coder-1.5B
 CODER_SERVED_NAME=qwen2.5-coder-1.5b
-CODER_MAX_MODEL_LEN=8192
+CODER_MAX_MODEL_LEN=32768
 CODER_KV_CACHE_DTYPE=fp8
-CODER_GPU_MEM_UTIL=0.055
+CODER_GPU_MEM_UTIL=0.06
 # KV pinned 2026-10-05 (77,056 tokens; see compose.yaml). Util now only gates the boot check.
 CODER_KV_CACHE_MEMORY=1104674816
 CODER_MAX_NUM_SEQS=32
diff --git a/stacks/vllm/README.md b/stacks/vllm/README.md
index 534b3ae..87cdc01 100644
--- a/stacks/vllm/README.md
+++ b/stacks/vllm/README.md
@@ -16,7 +16,7 @@ model on the box, currently three services:
 
 **Server:** ana-ml2
 **Ports:** `8001` (embed), `8002` (rerank), `8003` (reward) — all configurable via `.env`
-**GPU:** all three services share GPU 1 by default (configurable)
+**GPU:** only `vllm-coder` is live in this stack; since 2026-10-05 it runs on GPU 0 (`CODER_GPU_ID`) at the card-published maximum context of 32,768 (KV pinned 77,056 tokens, 2.35×). The embed/rerank/reward services here are retired
 
 ## Why one process per service
 
diff --git a/stacks/voices-seat/README.md b/stacks/voices-seat/README.md
index 45ebf19..1819866 100644
--- a/stacks/voices-seat/README.md
+++ b/stacks/voices-seat/README.md
@@ -69,7 +69,13 @@ separately.
 
 ## Placement warnings
 
-⚠ **GPU 0 is now at 96.0 of 97.9 GB.** This seat's 10.7 GB went into the last real gap on
+> **2026-10-05 rebalance:** context raised 8,192 → **40,960** (Qwen3-4B's native maximum: the card's 32,768
+> plus its 8,192 prompt reserve; 131,072 would need YaRN, which the card says hurts short prompts). KV pinned
+> 6 GiB bf16 = 43,680 tokens (1.07×), util 0.16, resident ~15.4 GB. Still GPU 0, now beside cyberprev,
+> erp-seat, coder and parakeet-nemo. The LoRA voices were trained on short prose; long-context behaviour
+> with an adapter is unmeasured.
+
+⚠ *(historical, pre-2026-10-05)* **GPU 0 is now at 96.0 of 97.9 GB.** This seat's 10.7 GB went into the last real gap on
 fv-ml1: GPU 1 has ~5.7 GB, GPU 2 has ~2.4 GB, and GPU 3 is a held reserve for a future
 full-card seat (`flash-next` alone needs 93 of 96 GiB). **There is no room for another seat
 here without a placement decision.**
diff --git a/stacks/voices-seat/compose.yaml b/stacks/voices-seat/compose.yaml
index 3173f70..79e84c9 100644
--- a/stacks/voices-seat/compose.yaml
+++ b/stacks/voices-seat/compose.yaml
@@ -87,11 +87,11 @@ services:
       - --port
       - "8000"
       - --gpu-memory-utilization
-      - "${VOICES_GPU_MEM_UTIL:-0.12}"
+      - "${VOICES_GPU_MEM_UTIL:-0.16}"
       - --kv-cache-memory
-      - "${VOICES_KV_CACHE_MEMORY:-2147483648}"
+      - "${VOICES_KV_CACHE_MEMORY:-6442450944}"
       - --max-model-len
-      - "${VOICES_MAX_MODEL_LEN:-8192}"
+      - "${VOICES_MAX_MODEL_LEN:-40960}"
       - --max-num-seqs
       - "${VOICES_MAX_NUM_SEQS:-8}"
       - --dtype