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Author SHA1 Message Date
Frank d4ce76b68b refact(comments): state the mechanism, not the incident
Every comment that invoked a 'law' (50 word-boundary sites across 28
tracked files) now states what is going on and why, in terms that
transfer to any project: gate twins drift until one side greenlights
what the other refuses; a tag re-points while a digest pins; a
restrictive engine behavior belongs to the runtime that imposed it and
must be re-tested, not inherited; a speculative head is tensors in the
file, not a flag; snapshot links dangle where the container resolves
them; exit 0 is a clean stop to systemd, so a self-exiting daemon on
on-failure goes dark reporting success. Event narratives and dates are
gone from these comments; the mechanics carry the argument.

Behavior-identical: bash -n, py_compile, yaml parse, full bats suite
408/408 green. One symbol rename rides along (stack script local
scale_law -> scale_contract, with its log text).
2026-10-14 13:36:40 -07:00
Frank 65bd5ccea7 feat(rank6): node-exporter renders from a template; guard chain is one snippet
- service-map render node-exporter-unit --host H: the MIRROR pair comment
  ('keep this file in step') becomes a template. Per-host title, LAN
  address from the hosts map, port from the node-<host> scrape job. Both
  tracked quadlets are now rendered artifacts; check_drift gates them.
- dankclaw/Caddyfile: the nine verbatim Anubis pre-auth chains
  (reverse_proxy anubis:8923 + X-Real-Ip) collapse into the (guarded)
  named snippet; guarded vhosts are 'import guarded'. Validated with real
  caddy 2.11.7 (import resolution clean; the stock image stops at the
  porkbun module and the git basicauth placeholder, as designed).
- vhost-scoped guard greps (authentik, homepage_caddy, marreta_quadlet)
  now pin 'import guarded' in the vhost block.
- Service Inventory + Authentik docs carry the new laws.
2026-10-13 22:40:50 -07:00
Frank 5976ad0550 refact(docs): compose-era sweeps retire with the last compose file
rank 7 tail. dankserver/compose.yaml (a parallel inventory whose mounts
had diverged from the quadlets) and its .env.example live in
dankserver/.AGENTTRASH/20261013-compose-retire/; the retired ik chat
template joined scripts/.AGENTTRASH/. No target has a compose file now:
- service-map drops the compose selection rule, compose file claim, and
  check_compose (the check list is schema/units/ownership/config/drift);
- deploy-remote's compose fallback is a loud failure, not a WARN-and-
  nothing for dankserver;
- compose_validity.bats goes to tests/.AGENTTRASH (it was sweeping only
  the trash file); env_consistency sheds its two compose sweeps;
- docs_completeness's compose sweep skips .AGENTTRASH so retired
  services cannot resurrect, and a revived compose stays covered;
- Testing Policy drops the Compose validity row.
2026-10-13 22:35:28 -07:00
Frank 5ae6b7b928 refact(deploy-remote): shared root-unit start, config copy, retire helpers
rank 5. The three LLM handlers duplicated the same tail (relink,
daemon-reload, enable, restart, /health gate, MainPID port proof) ->
start_root_unit SERVICE PORT LIMIT; frank-archon's bespoke 900-iteration
loop was exactly wait_for_health at limit 900. copy_config DEST SRC...
replaces five hand-rolled mkdir+cp pairs (loki, alloy, grafana x2);
retire_unit_file PATH TRASH [UNIT] replaces the duplicated compose-era
unit retirements (halogen dragoon quadlet, comfyui.service). The health
grep seam now pins the per-endpoint call (start_root_unit frank-dragoon
7770).
2026-10-13 22:35:12 -07:00
Frank cc0bc06288 fix(pihole): addn-hosts renders no inline comments
dnsmasq strips ONLY whole-line comments in addn-hosts: a trailing
'# service' on a data line becomes a hostname token. The inventory's
Pi-hole renderer now emits pure IP-name lines (attribution lives in the
inventory) and the tracked file is re-rendered to match; pihole.bats
line-validity seams are green on the rendered artifact.
2026-10-13 22:35:12 -07:00
Frank bdead570e2 feat(inventory): one service inventory drives planner, allow-lists, and seams
rank 3. shared/services.yml is the single source of truth for every
deployable service (hosts, unit dirs, units, path claims, tests, scrape/
dns/probe facts, aliases, stacks); scripts/service-map.py is its only
reader (hosts/services/allows/plan/seams/owner/units/stack/get/render/
check). deploy-plan.py becomes a thin CLI wrapper; both --service
allow-lists (deploy.sh, deploy-remote.sh) and the changed-test mapper are
the inventory. Selection semantics: host scoping (a host's tree selects
only its own services), the quadlet netns/network coupling graph resolved
across directories (gluetun's riders live in their own dirs), stacks, and
canonical restart order.

Against the pinned old-planner fixture: 921 raw deltas reduced to 17, all
intentional (anubis now maps; cross-host paths select nothing; the retired
qwen-sharp template plans nothing and the live froggeric template plans
frank-archon; dankserver/romm/romm.container, missed by the old filename
rule, plans the romm trio). The fixture is regenerated as the new pin.

Integrity gates: schema, unit claims, quadlet-file ownership, path-glob
liveness, Pi-hole hosts / Prometheus jobs / DNS / homepage probes drift.
tests/service_inventory.bats pins all of it plus the plan fixture and the
deploy-plan CLI. Allow-list grep seams in hermes_webui/observability_quadlet
become behavioral allows calls.
2026-10-13 22:35:07 -07:00
Frank 156ea71879 fix(fleet): every LLM root unit restarts on a voluntary exit; parity seam gates it
frank-zealot shipped Restart=on-failure while its two siblings shipped
always. exit 0 is a CLEAN stop to systemd: on-failure leaves the endpoint
dark and the unit GREEN until the next boot — and frank-zealot is the
compaction hub for all three endpoints, so its quiet death degrades every
conversation in the fleet.

tests/llm_units.bats gains the fleet parity seam (Restart=always,
RestartSec 1..20, WantedBy=multi-user.target across scripts/frank-*.service);
the per-unit seams drop their weaker Restart greps so the policy lives in
one place. Runbook unit line updated.
2026-10-13 22:04:48 -07:00
Frank ab80c1366d refact(deployer): one MainPID gate for all three LLM endpoints
frank-dragoon's health gate never checked WHO answered :7770 — the
false-green the fleet learned about on 2026-09-26 (a stray probe holding
the port satisfies a bare curl while the unit is stopped). The other two
handlers carried that check as inlined copies; all three now call
assert_unit_owns_port, and dragoon gets the protection it was missing.

The seam follows: the endpoints' text-grep deployer tests are deleted,
because tests/llm_deploy_gates.bats EXECUTES the same handlers end to end
(stub systemctl/podman/sudo/ss/curl) and asserts refusals, restarts, unit
links, the pending marker, and the MainPID hardening. GATE_PREFIX is
exported at each handler for the same reason the serve scripts export it.
2026-10-13 22:02:48 -07:00
Frank c5a816e6a8 refact(deployer): the LLM handlers gate through the shared library
deploy_llm_dragoon/zealot/arkon now call require_image / require_bytes /
require_min_mib / require_file / require_dir_files, so the deployer and the
serve scripts refuse the same missing payload with the same words — the
2026-10-01 crash-loop law, enforced by construction instead of by duplicated
shell. require_exec joins the library for the native-runtime gate (a
compiled tree that lost its +x refuses like a missing one). relink_unit
takes SYSTEMD_SYSTEM_DIR so a handler can be driven end to end in a sandbox.

The library's own refusals now carry their status: a bash function that
ends inside an if returns the CONDITION's status, so a gate whose last
statement is its refusal printed the message and returned SUCCESS — the
new seam caught it, and the gate tests pin it.

New seam tests/llm_deploy_gates.bash + tests/stubs/: deploy-remote.sh's LLM
handlers EXECUTED against stub systemctl/podman/sudo/ss/curl, asserting
exit status, refusal text, no restart, and the pending state marker.
2026-10-13 21:58:13 -07:00
Frank cb25796a6b refact(frank-archon): serve gates run on the shared library; the serve seam is behavioural
The image/.rad/template gates are require_image/require_min_mib/require_file,
and the gates an operator can only reach on the host (GPU nodes, the ttm pages
cap, the run line) are now drivable: FRANK_ARCHON_DEV_KFD, FRANK_ARCHON_DEV_DRI,
FRANK_ARCHON_TTM_SYSFS and FRANK_ARCHON_LOG default to the production paths.
Seven new seam tests EXECUTE the serve script against fixtures (stub podman,
stub nodes, stub sysfs, temp payload) and assert exit status, the refusal
words and the engine argv. The old text-grep gate test is deleted: it pinned
the words of the source, not the behaviour.
2026-10-13 21:44:38 -07:00
Frank f31e7c5ed8 refact(frank-zealot): serve gates run on the shared gate library
The three -e gates (runtime, GGUF, mmproj) are require_file calls: the refusal
now names the artifact class, the exact path and the script that produces it.
The seam asserts that observable triple instead of the old sentence order.
2026-10-13 21:41:18 -07:00
Frank 028afdeb58 refact(frank-dragoon): serve gates run on the shared gate library
The hand-written image/ck/tokenizer gates are require_image, require_bytes and
require_dir_files from scripts/lib/llm-gates.sh. The serve seam is unchanged
and still green (its podman stub now models `podman image exists`, the
primitive the gate uses). Behaviour preserved: every refusal names the
artifact, the endpoint and the fetch script.
2026-10-13 21:40:02 -07:00
Frank acf2a5cee5 feat(scripts): one artifact-gate library for the LLM endpoints
The serve scripts and the deployer each hand-wrote the same missing/truncated
artifact gates; the 2026-10-01 crash-loop was those twins disagreeing
mid-cutover. scripts/lib/llm-gates.sh is the single place the refusal lives:
require_file / require_bytes / require_min_mib / require_dir_files /
require_image, each returning 1 and naming the endpoint, the artifact and the
remedy. New seam tests/llm_gates.bats pins the contract at the arguments-in /
status-and-stderr-out boundary.
2026-10-13 21:38:50 -07:00
Frank c52ba781e3 docs(frank-archon): record the bf16 KV shape, its measured cost, and the probe
Runbook section `2026-10-11 — unquantized KV at 2 x 200,000`: the dtype law
(only bf16|fp8, no K/V split; the QSA block key is dtype-fixed, which is why
bf16 costs 1.89x and not 2x), the pool formula that reproduces both live
boots within 0.1%, the seqs-3-to-2 provenance (the tcclaviger fork's
torch.compile constraint, not radiance's), the boot ledger, and the A/B.

The A/B, fp8 control arm through a transient FRANK_ARCHON_ENV_FILE drop-in:
prefill -29% (4,379 -> 3,126 cold), TTFT at the full window +25% (the 2 x 197k
pair: 110.5 s -> 138.1 s), decode inside the +-3% band on two of three passes,
draft acceptance UP 0.661 -> 0.740. The price is prefill, not decode. Open
call for Frank: keep exact KV, or take the cheap fp8 2 x 200k fit (pool 3,648).

Also corrects two stale index entries (w4dn8 said STAGED, fp8-native said
ACTIVE), adds the worklog entry, and commits the verification tool as
scripts/probe-frank-archon-kv.py — it carries the probe law that cost two
false negatives: radiance answers in reasoning_content, so a chat probe with a
small budget reads as empty content + finish_reason stop on a healthy server.
Tests 368/368.
2026-10-11 01:36:48 -07:00
Frank 0bf26b0741 llm(frank-archon): unquantized bf16 KV at 2 x 200,000
The KV pool at the fp8 shape backed 386,904 tokens — 1.93 sessions of the
served 200,000 window, so a second full-height conversation preempted to the
host/disk prefix tiers. Moving the cache to bf16 (the engine's only
unquantized rung; `--kv-cache-dtype` takes bf16|fp8 and has no per-tensor
K/V split) doubles what a token costs: 7.3125 -> 14.625 KiB per rank
(kv_attn 26.00 -> 52.00 KiB per 4-token page + kv_qsa_bkey 3.25 -> 6.50).

Pool 3543 -> 6912 MiB (437k tokens, >= 2 x 200,000), and the weights slab
pays for all of it: 26071 -> 22208 MiB, the pair pinned to the measured
card ceiling 29,120 MiB (card 31,856 - 1,710 consumed outside both budgets
- 1,024 free). The resident set that leaves VRAM spills into the pinned host
pool, so 40960 -> 44928 MiB, and the prefix host tier doubles with the entry
size (58.50 -> 117 KiB): 4096 -> 8192 MiB. Pinned ledger ~147 GiB, ttm floor
140000 -> 150000 (cap 200 GiB).

--max-num-seqs 3 -> 2: two slots x the window is the capacity contract, and
the "seqs 2 cannot boot" law is the retired tcclaviger fork's torch.compile
query_start_loc constraint, not radiance's (radiance booted seqs 2 in the
fp8-native era; the 2026-10-06 sweep had 2 and 3 tied inside +-3%). Bonus:
the fused all-reduce is now declared over 2 x 3 = 6 rows, under the 25-row
bound at which the wht6 wire is bit-exact.

Cost, paid twice on this engine: idle KV VRAM is also the expert cache's
spillover (lends 2.69 GiB + 740 MiB of arena), so the pool steals weight
residency from the slab AND the lendable cache. Priors: 2.14 GiB of stolen
weights cost 2.5% decode (MAX_MODEL_LEN 262144), the EVC ladder's other
direction cost 8.9%. Prediction -3..-8% vs the fp8 control (136 t/s at 44.5k,
acceptance 0.7246); the deploy boot ledger and live probes are the referee.

Seams: MAX_SEQS/HOST_POOL/KV_DTYPE/PREFIX_HOST literals follow the shape, and
two new invariants guard it — the KV pool must back seqs x max-model-len at
the declared dtype (an engine hard limit: an over-long request is accepted
then refused as too large to ever fit; the formula reproduces the fp8 boot's
386,904 to within 0.1%), and the VRAM pair must stay inside the ceiling.
2026-10-11 01:01:58 -07:00
Frank 394fd8535b docs(log): record the service-rename cutover outcome and the zealot --metrics gap 2026-10-10 17:17:59 -07:00
Frank 55f87fcdce llm: retire the trio service names — fleet services renamed to frank-archon/frank-dragoon/frank-zealot
The 2026-10-09 wire aliases become the service names everywhere:
systemd units, serve scripts, env files and FRANK_* variables,
deploy-plan/deploy-remote service keys, container names, Prometheus
job names + alert rules, Grafana dashboard queries, bats seams,
runbook filenames, homepage/AGENTS lore, and historical prose.
Rollback tags renamed in lockstep. Residue in the tree: zero.
Retired frank-medium/small/npu names are history and stay.

Known casualty: scripts/patches/*.patch context lines were rewritten;
those retired-era vLLM-fork patches no longer apply byte-exact.
2026-10-10 17:03:14 -07:00
Frank 5ced474eb9 docs(log): wire-rename wave — three served ids, OpenWebUI + Hermes re-key, bench drop-in retired 2026-10-09 17:10:25 -07:00
Frank 2992a7ddd6 docs: record the wire rename, the OpenWebUI re-key, and the frank-primary bench drop-in trap
- AGENTS.md Model Config: the Protoss names are now the ids on the wire
  (per-endpoint knob named); verify a rename on /v1/models, never on a chat
  response — radiance echoes the requested name
- OMP Harness.md: harness id == served id; one id per model everywhere
- Homepage.md: the docs-page "api id" annotations and the switchover promise
  are retired
- OpenWebUI.md: the id-keyed trio (model row, access_grant, api_configs
  model_ids) is a foreign-key set — re-key it in the same deploy; plus the
  contenteditable-composer probe note
- frank-secondary/frank-large/frank-primary runbooks: served ids
  frank-zealot/frank-dragoon/frank-archon, and the bench.conf drop-in that
  made every frank-primary deploy since 2026-10-08 04:09 restart the staging
  worktree behind a green health gate
2026-10-09 17:06:44 -07:00
Frank 7c77326c33 llm: complete the Protoss rename on the wire — served ids frank-archon/dragoon/zealot
The 2026-10-08 rename moved the harness model ids and the homepage cards;
the served aliases on the wire stayed frank-primary/frank-large/
frank-secondary. This closes the gap: the alias each endpoint announces is
now the family name, while the services, units, scripts, env files and
runbooks keep the old names (container identity stays stable).

- scripts/frank-secondary.env ALIAS, scripts/frank-large.env
  HALOGEN_MODEL_ID, scripts/frank-primary.env FRANK_PRIMARY_SERVED_NAME
  (+ the two serve-script defaults/gate messages)
- seams re-pinned: frank_secondary/frank_large/frank_primary unit bats
- fleet harnesses retargeted: bench-probe, deep-probe, calib-push,
  fleet-probes-swift15, autoresearch(+measure), bench-threads-batch-http,
  bench-decode
- shared/homepage/docs.html: api-id annotations and the "switchover will
  rename the ids" footnote removed — the page's names are now the ids;
  opencode/Pi/curl examples send frank-zealot
- dankclaw/hermes/config.yaml.example: frank-large -> frank-dragoon and the
  live 262144 context (Hermes routes by served id; see Hermes.md)

Consumers with live state re-keyed out-of-band in the same window:
OpenWebUI (model row, access_grant, openai.api_configs model_ids) and the
Hermes config.yaml.
2026-10-09 16:47:19 -07:00
Frank 65dec6a80e docs(authentik): provision kirby/ry/nic/debo/freya (pk 17-21); OWU pending-role first-login flip law 2026-10-09 11:49:58 -07:00
Frank f99b698d25 docs(LLM): 3090 worked example — archon w4dn8 methodology ports to GGUF-native quants; 24 GiB size law for 35B-A3B 2026-10-08 23:44:13 -07:00
Frank 757a90057f docs(LLM): recipe portability audit — qwen35moe plugin carries the calibration tap; 35B-A3B w4 fits one R9700 resident 2026-10-08 23:42:58 -07:00
Frank 009e8a885d docs(LLM): Quantization Production — 3090 as the unlocked card (runtime menu, Ampere ceilings, Playbook B safetensors ladder) 2026-10-08 23:38:49 -07:00
Frank 6b677139ad docs(LLM): Quantization Production reference — per-card self-quant playbooks, REAP/Heretic/abliteration/K_P prior art 2026-10-08 22:39:18 -07:00
Frank 184a5c665a homepage+docs: frank-archon runs our own GPTQ-w4 build, link our HF publication 2026-10-08 22:15:33 -07:00
Frank 958b10545e homepage+docs: bottom-pinned privacy disclosure chips, live OWU api-keys screenshot, docs steps for 0.6 UI, drop house-DNS/Pi-hole bullet 2026-10-08 18:07:31 -07:00
Frank c4dca68a03 homepage: link Model Information panel to the docs AI section
The panel title carries a right-aligned 'AI guide ->' link to
/docs#models (the running-models section), at the point of use.
Bare mode recolors the link; layout is flex baseline, doctrine-minimal.

Seam: homepage_config.bats 6/6; headless smoke census + screenshot.
2026-10-08 18:05:50 -07:00
Frank f29dbdf7c7 homepage: rounded corners, aligned title glyphs, greyed closed items, spliced dragoon tagline, inline privacy notes 2026-10-08 17:29:45 -07:00
Frank 98f11a19c1 docs+AGENTS: model ids officially frank-archon/frank-dragoon/frank-zealot (services keep old names) 2026-10-08 17:16:21 -07:00
Frank a30ac9457a merge: swift15 runbook LIVE 2026-10-08 05:02:10 -07:00
Frank 75695c312a swift15: AGENTS.md aligned to deployed shape (fp8 KV, spec 2, seqs 3, PLE fp8 n-gram) 2026-10-08 05:02:10 -07:00
Frank c507f91438 swift15: runbook LIVE + deployed verification + vision probe law 2026-10-08 05:02:10 -07:00
Frank b175f4afd1 swift15: vision probe reads reasoning_content fallback, 256-token budget 2026-10-08 04:57:31 -07:00
Frank 971e23a25c swift15: fix fleet-probes vision heredoc (quoted 'PY' ate $B); probe header 2026-10-08 04:57:10 -07:00
Frank 3ca64e14fc merge: swift15 KLD re-PASS at production shape 2026-10-08 04:50:28 -07:00
Frank f3dfea13ad swift15: KLD re-PASS at production MNBT 2048 (KL 0.0131, top-1 97.92%) 2026-10-08 04:50:23 -07:00
Frank 02fa1e22ae merge: swift15-radiance-w4dn8 — frank-primary GPTQ w4 (Swift1.5)
Conflict resolved: frank-primary row from the branch (w4 chain),
frank-secondary row from main (Qwen3.5-9B swap of 2026-10-07).
2026-10-08 04:46:11 -07:00
Frank 1aef7418ad swift15 cutover: AGENTS.md + runbook + log + fleet probes + KLD gate shape fix
- AGENTS.md: fleet table row + frank-primary section rewritten for the
  GPTQ w4 chain (1.0.13 serve/convert, 1.2.0 calib, int8 KV, vram pair).
- runbook: throughput gate PASS (136.0 t/s median @ 44.5k, 4.5x bar),
  fleet probes PASS, control baselines recorded.
- log.md: 2026-10-08 campaign entry with the four measured engine laws.
- kld-gate: shape matched to the reference recording, then reshaped for
  the w4 MNBT<=2048 file-tier law (pool 40960).
- fleet-probes-swift15.sh: tools/reasoning/response_format/vision walk.
2026-10-08 04:41:07 -07:00
Frank fa5a444b64 homepage: simplified console — flat navy, static down-state, no scanlines/lattice/frames/glows 2026-10-08 04:31:30 -07:00
Frank 90f678582e homepage: navy Protoss console — maximal octagon cornering, Share Tech Mono + Rajdhani, pictograms for CW/RomM/Copyparty/Marreta, dragoon teal 2026-10-08 04:17:33 -07:00
Frank cc0fdd15a1 swift15: env -> candidate payload, RAD floor 110000 (measured 116,416 MiB) 2026-10-08 04:11:02 -07:00
Frank f148ecab4a homepage: HF source links per model; docs reorder (AI last), arr stack out of family docs 2026-10-08 04:00:26 -07:00
Frank c2f3411342 swift15: campaign decode probe (43.6k greedy, timings-based) + runbook gate results 2026-10-08 03:58:17 -07:00
Frank 8c5bde7034 homepage: Protoss theme, brand-color icons, dragoon portrait, GameBoy RomM, OWU white art + search warn 2026-10-08 03:51:50 -07:00
Frank 22a7331100 homepage: icon swaps, clickable tiles, down pulse, header nav, compaction callout
- Icons: Copyparty -> improvised amber folder, Marreta -> crumbling
  wall (bricks + red crack), Calibre-Web -> book, OpenWebUI -> official
  logo.png from openwebui.com, Seerr -> official seerr.dev
  os_logo_filled.svg.
- Tiles with an open link are clickable whole (.panel.clickable: hover
  lift + glow; inner link clicks pass through).
- Any DOWN panel (app tile or model card) gets a red gradient wash and a
  slow pulsing glow (.panel.down, .mi-card:has(.badge.down)).
- docs / admin / account-settings buttons moved from the footer to the
  header (nav.top-links); footer keeps the deployment stamp.
- Zealot compaction advice promoted from the Use paragraph to a bordered
  glowing model.compaction callout (.mi-comp); component seam pinned to
  the new field.
2026-10-08 03:37:13 -07:00
Frank c1e192df00 homepage: app-card art, zealot-first order, common uncensored warning, admin identity gate
- Every app card carries hex-clipped art: 19 amber-tinted brand marks
  from the Simple Icons CDN plus 19 improvised monogram SVGs, wired via
  a per-service "art" field; homepage_config.bats pins art presence for
  all 32 apps.
- Model cards render zealot -> dragoon -> archon (registry order pinned
  in the seam).
- Dragoon and zealot share one common uncensored legal warning (adult
  content, harmful/hateful/illegal descriptions, sensitive offensive
  cybersecurity topics, severe legal risk, "don't ruin this server for
  everybody"), hover label on card and docs.
- Archon gets a bordered red permission callout: ask Frank before use.
- SearXNG obfuscation-not-anonymity note moved to a card-level hover
  warning (.svc-warn) and a docs hover note.
- Gitea: self-service signup flow; no need to ask Frank.
- Footer docs/admin/account-settings become glowing bordered buttons;
  the admin button is shown only to homepage-admins members via a new
  Caddy /whoami endpoint echoing the outpost-injected X-Authentik-*
  headers (spoof-proof; the /admin* 403 stays the real gate). e2e pins
  both sides.
- Docs naming swept: Protoss names primary, bracketed api ids, explicit
  note that a future switchover renames the ids themselves.
2026-10-08 03:21:26 -07:00
Frank 8375567de3 swift15: restore expert_tiered + disk-tier flags dropped in the gate rewrite 2026-10-08 03:18:04 -07:00
Frank 79c2e64c2c swift15: gate MNBT 3072 per Chief (w4 arena scales hard with MNBT; 32k step is absurd here) 2026-10-08 03:17:33 -07:00
Frank f20da6a6ff swift15: gate shape MNBT 16384 (w4 arena at 32768 costs 33 GiB), kv 2048, headroom 512 2026-10-08 03:16:45 -07:00
Frank 058ea6cca8 swift15: gate boots at the production pool (w4 gate_up experts are RAM-resident; disk tier refuses non-serving stored forms) 2026-10-08 03:14:20 -07:00
Frank 3f8531179e swift15: gate flags per engine (--kld-ref takes no corpus; --kld-out JSON parsed) 2026-10-08 03:12:18 -07:00
Frank 3c5d77d1fa e2e: count fused Model Information names in the user homepage spec
The Protoss model cards render as .mi-name inside one full-width panel;
the panel-name census now counts both render styles, keeping services.json
the single source of truth.
2026-10-08 02:51:09 -07:00
Frank 203b0be145 homepage: Protoss rename + fused Model Information component
The model cards become the StarCraft trio: frank-large -> frank-dragoon,
frank-primary -> frank-archon, frank-secondary -> frank-zealot (family
names only; endpoint/API ids unchanged). The three cards fuse into one
Model Information component: per-unit Protoss accent colours and hex-
clipped unit art, 15px type, clickable StarCraft unit-voice quotations
(original .ogg files from the fandom wiki, served from /sfx/), supervision
notes (dragoon/archon safe for autonomous use, zealot tight supervision),
compaction-model recommendation for frank-zealot, and uncensored-model
legal notes rendered as hover tooltips instead of wall text. docs.html
carries the same renames plus api-id mapping.

App-card updates: Seerr, Calibre-Web, RomM, Jellyfin set to WIP: DOWN
with Open links removed (new wip "down" badge state); Copyparty notes it
serves all other media apps content including WIP apps; Gitea and Plex
noted as needing logins separate from SSO; SearXNG noted as obfuscated,
not anonymous (upstream API keys tie to Frank).

Plumbing: Caddy @data allowlist grew /sfx/*; deploy_homepage copies sfx/;
homepage_config.bats pins the new probe names, the component fields,
art/voice-file presence, and the wip-down schema.
2026-10-08 02:40:45 -07:00
Frank 74da746c51 docs(homepage): record the capability equivalence notes 2026-10-08 01:32:35 -07:00
Frank 7066accc25 homepage: capability equivalence on the AI cards
Every fleet model card (and the #models docs section) now states, in
plain family-facing terms, what the model is equivalent to:
frank-large ~ Claude Sonnet 5 / OpenAI-Luna, frank-primary ~ Claude
Opus 4.8 / OpenAI-Terra (both Summer 2026 frontier), frank-secondary ~
last year (2025) frontier. Rendered as a new details.equiv line
(desc-equiv, styled in the head color, bare-mode clean); pinned in
homepage_config.bats.
2026-10-08 01:30:50 -07:00
Frank 76aaa2543b frank-large: raise ctx to 262144 to close the harness 400-zone
The harness clamps max_tokens to min(45056, contextWindow - est - 4096),
its chars/4 est under-counts the rendered prompt by ~3 % (measured:
152,938 -> 157,388 and 158,906 -> 165,301), and compaction fires only at
85 % -- so with window == engine ceiling 200192, every request in the
est ~146k-184k zone was a guaranteed 400. HALOGEN_CTX=262144 (native) +
KV pool 524288; harness window 217088 = ceiling - 45k absorbs the
estimate error (worst-case request ~219k <= 262144). models.yml updated
out-of-repo: contextWindow 217088, maxTokens 45056.
2026-10-08 00:40:12 -07:00
Frank 8220030ba1 swift15: canonical recipe = host copy the convert loaded (all 24 protected experts; committed copy was a partial splice) 2026-10-07 23:45:45 -07:00
Frank 5191c49967 swift15: KLD gate script (candidate vs bf16 ref, KL<=0.03 / top-1>=95%) 2026-10-07 23:43:06 -07:00
Frank f9330fa201 docs(homepage): record the @data allowlist law for new assets 2026-10-07 23:41:58 -07:00
Frank 4b71c014e9 caddy: serve /img/* from the homepage root
The @data path allowlist on the post-auth listener did not include /img/*,
so docs screenshots fell through to the index.html catch-all and the
browser got 200 text/html for every PNG (docs images broken live
2026-10-08). Pinned by the homepage_caddy seam.
2026-10-07 23:38:18 -07:00
Frank cee90eea52 homepage: amber CRT theme, VT323, current-fleet docs + API access guide
- style.css: green phosphor -> amber CRT-AMBIOS palette; docs styles for
  screenshots, code blocks, key warning (full + bare mode)
- index/admin/docs: VT323 from the Google Fonts CDN
- docs.html: rewrite #chat/#models for the live fleet (flash-server v2,
  radiance native FP8, Qwen3.5-9B Q6_K); new #api-access with OpenWebUI
  key walkthrough + Opencode and Pi configs; three OpenWebUI screenshots
- services.json: AI card details match the current fleet
- deploy-remote.sh: ship shared/homepage/img/ to /srv/homepage/
- docs: Homepage.md theme wave + OpenWebUI.md picker access-control law
2026-10-07 23:27:23 -07:00
Frank 73c37f4301 swift15: all experts through GPTQ w4 (plugin one-table-one-encoding law)
rad_arch_declare rejects the split tier (down block-fp8 + gate_up w4): the
qwen4exp_fp8 kernel serves one encoding per expert table (w4nl64a8h) with only
whole bf16 experts beside it. Recipe now sends gate_up AND down through the
GPTQ w4 rule (down calibrated by the Grams, gate_up uncalibrated), drops the
down-fp8 rule, and lowers the size floor 126000->108000 MiB for the ~19 GiB
lighter container. Convert script: checkpoint lives under models/ukisai/, and
the in-container path must keep the subdir (basename stripped it).
2026-10-07 21:31:10 -07:00
Frank 6632d0a2f6 docs(openwebui,authentik): frank-secondary-only picker, API gating, artem account
OpenWebUI model picker narrowed to exactly frank-secondary (connections
frank-large/frank-primary disabled in openai.api_configs, model table rebuilt,
stale frank-small model_id retargeted to the served alias). Documented the
auth-gated API surface (anonymous probes all 401; keys per account).
Authentik roster gains artem (pk 16) in the human-user template.
2026-10-07 18:49:22 -07:00
Frankandomp caf5e1e0ca docs(authentik): record the human-user template and alex's recreation
kassie (pk 14) and alex (pk 15, deleted pk 7 then recreated) now share the
ridley shape: <user>@franksdank.cloud + Non-Admin Users + jellyfin_users +
openwebui_users. Audit before destroy: the old alex row carried no MFA
device, token, entitlement, or proxy session - checked across the MFA
device tables, authentik_core_token, and providers_proxy_proxysession
(the fleet's column names differ from the ORM names: events.user is
denormalized JSON, certificatekeypair has no user_id). Events survive the
delete, so the audit trail keeps its shape.

Co-Authored-By: omp <omp@franksdank.cloud>
2026-10-07 18:20:11 -07:00
Frankandomp 5278f5be26 frank-secondary: record the deployed boot, keep the unit description honest
Deploy verified: nvidia-smi 21,436 MiB used / 2,689 free at ubatch 2048 -
the MiMo-priced projection (~21,430/~2,700) landed within 11 MiB, and the
verbosity-4 ledger confirms the KV law to the MiB (CUDA0 KV buffer
12,544.00 MiB = K(f16) 6,272 + V(f16) 6,272 = 32 KiB/token over the
401,408 pool), compute buffers 1,136 MiB CUDA0 + 848 MiB host, mmproj
879 + 248 MiB. Playwright gate: 33 passed.

Two lessons recorded: the 203/EXEC boot loop my shebang-less rewrite
caused (journal signature + the head -1 check), and that llama.cpp's
"n_ctx_seq < n_ctx_train" line is informational when the context is BELOW
the trained window - the Gemma4 drafter warning was the opposite case.

The unit's Description named the Swift-1.5 era (and said 2x131072/q8_0/
draft-mtp); it now names the Q6_K shape. Cosmetic, so it is NOT deployed
as its own restart: the next frank-secondary deploy relinks it.

Co-Authored-By: omp <omp@franksdank.cloud>
2026-10-07 17:33:21 -07:00
Frankandomp ec6184de9a frank-secondary: restore the shebang my rewrite dropped (unit failed 203/EXEC)
Co-Authored-By: omp <omp@franksdank.cloud>
2026-10-07 14:50:49 -07:00
Frankandomp 1d062f06a3 frank-secondary: swap Gemma4-26B-A4B Q4_K_M -> Qwen3.5-9B-Uncensored Q6_K 2x200,704
Capacity trade: the 9B dense-hybrid (qwen35: 32 layers = 8 full-attention
+ 24 Gated DeltaNet, 4 KV heads x 256 dim, native 262,144, MTP-less,
natively multimodal) costs ~7 GiB of weights where the 26B MoE cost
~16.6 GiB. The freed room buys back the second conversation slot and
exact KV: --ctx-size 401408 --parallel 2 (two 200,704 windows), f16 K +
f16 V, MTP off (the file carries no nextn/mtp tensors - flag-only enable
is impossible), vision via the publisher's BF16 mmproj, ubatch 1024
(the CUDA decode-optimal value), verbosity 4, publisher sampler recipe
(0.6/0.95/20/0) in models.yml.

Hosts with the MiMo-V2.6-Distill Q6_K boots at this geometry: 21,276 MiB
used / 2,849 free at ubatch 1024, 40,960 tokens of fp16 KV at ubatch
2048. Compaction stays routed here; window math is unchanged (maxTokens
16,384 keeps the worst-case harness request inside the slot).

Gemma4 payload (Q4_K_M + mmproj + MTP assistant) stays on disk as the
rollback; its runbook is retired in place, keeping the attention_k_eq_v
pair-billing law.

Co-Authored-By: omp <omp@franksdank.cloud>
2026-10-07 14:47:32 -07:00
Frank b51e078e36 frank-secondary: record the deployed f16-K boot ledger, correct the k_eq_v billing law
Verbosity 4 paid for itself: the engine's own llama_kv_cache lines give the
exact accounting — the cache bills the K+V pair TWICE under attention_k_eq_v
(6.125 B/elem at f16 K + q8_0 V), reproducing 3,001.25 MiB (5 full layers at
n_head_kv 2) + 306.25 MiB (25 SWA rings at n_head_kv 8, window 1024) to the
byte. The earlier "bill K-only" note was wrong; full layers have 2 KV heads,
not 8.

Deployed boot: 21,868 used / 2,257 free — the f16-K raise (+2,161 MiB KV) is
funded by the ubatch 2048 -> 1024 cut (~616 MiB of compute buffer) plus
variance, so exact K came essentially free. Measured decode 139.9 t/s temp 0;
vision probe returns Red at prompt_tokens 151.
2026-10-07 13:58:30 -07:00
Frank 68a525740d frank-secondary: swap Swift-1.5 RCO-IQ3_XXS -> Gemma4-26B-A4B QAT Q4_K_M
Payload: HauhauCS/Gemma4-26B-A4B-QAT-Uncensored Q4_K_M (16,796,015,520 B)
+ the publisher's BF16 mmproj, /home/dank/models/Gemma4-26B-A4B/.

Shape: ONE 200,704-token slot (--parallel 1; 2x200,704 does not fit the
24 GiB card), f16 K + q8_0 V under flash attention, batch 4096 / ubatch
1024, --log-verbosity 4, MTP OFF (the gemma4-assistant file is on disk,
not loaded: its draft KV is built against the target's full window,
measured +1.9 GiB -> 23,806/319 free, no margin beside the f16-K raise).

Measured boots (nvidia-smi): q8_0 K + q8_0 V / ubatch 2048 / MTP off =
21,890 used / 2,235 free; with the MTP assistant = 23,806 / 319.

Engine facts recorded: gemma4 hybrid attention (25 sliding-window + 5
full-attention layers) so KV scales with 5 layers only, and
attention_k_eq_v is honoured by build 5fc4f3c (pool bills K-only; the
measured q8_0 pool = 2.05 GiB = the K-only figure).

Serve script gained VERBOSITY (+ --log-verbosity in the argv), the
SPEC_DRAFT_FILE drafter path, and defaults/lore retargeted to Gemma4.
deploy-remote.sh payload gates follow the env. The frank-secondary bats
seam is rewritten for the new contract (argv-based) and fixes a
pre-existing vacuity: serve_argv regenerates the test env, so
mutations made before it were silently undone - tests that mutate now
exec through run_stage. frank-secondary is the fleet compaction hub
(200,704 is the only window that fits a worst-case compaction input).
2026-10-07 13:48:54 -07:00
Frank 5b7b3ccb90 frank-secondary: swap to Gemma4-26B-A4B Q4_K_M, 1x200704, q8_0 KV, MTP via separate assistant file
- MODEL_FILE: Swift-1.5-Qwen3.8-27B RCO-IQ3_XXS -> Gemma4-26B-A4B Q4_K_M
- CTX_SIZE: 229376 (2x114,688) -> 200704 (1x200,704)
- PARALLEL: 2 -> 1
- CACHE_TYPE_K/V: q8_0 (unchanged, FP8 class)
- SPEC_TYPE: draft-mtp (unchanged)
- SPEC_DRAFT_FILE: new — separate MTP assistant file (mtp-gemma-4-26B-A4B-it.gguf)
- serve script: add --spec-draft-model support for separate draft files
2026-10-07 12:41:07 -07:00
Frank 2137080d1c docs(index): top-level link for the staged Swift15 runbook (seam 135) 2026-10-07 04:42:36 -07:00
Frank f747cb0dab docs(runbook): staged Swift15 w4dn8 runbook skeleton + index link
Contract facts frozen (payload chain, recipe tiers, shape, gates);
MEASURED@cutover slots for bench/KLD numbers.
2026-10-07 04:40:31 -07:00
Frank db8faa68ff docs(worklog): KLD reference complete (rows 50235), script-swap law third occurrence 2026-10-07 02:49:14 -07:00
Frank cf6c62d44a fix(kld-then-calib): restore S= path clobbered by the SKIP_KLD edit 2026-10-07 02:45:28 -07:00
Frank 0aafad5f2c fix(kld-then-calib): SKIP_KLD resume + rows-50235 receipt gate
The KLD engine exited clean with the record complete (kld.json rows:
50235, 24 GiB, 5 files), but the wrapper died rc=127: a mid-run scp of
the calib-shape edit shifted bash's lazy-read offset — the fleet's own
script-swap law, biting on the same class as the autoresearch collision.
Resume path: SKIP_KLD=1 verifies the receipt (rows + size + files) and
goes straight to calib. Never scp a script a running process owns.
2026-10-07 02:44:48 -07:00
Frank a3f45ce028 docs(campaign): interim work log for the Swift1.5 w4dn8 campaign
Execution facts, blocker trail (plugin-tap probe law, weights-slab
formula, KLD_MOUNT), engine verdict, and the post-chain order. Linked
from the docs index per the completeness seam; the cutover runbook
replaces it.
2026-10-06 23:42:32 -07:00
Frank 45de2fd47f perf(run-swift15-bf16): calib at the vendor big-step shape
MNBT 65536 / seqs 8: MOE-W4.md:244 measures 640 tok/s at a 32k step
vs 930 at 55k — the KLD record's own rate confirmed step size drives
disk-tier prefill. 131k resident tokens fits the 3072 pool (~237k
tokens/rank at fp8). Cuts the 10M-token calibration from ~4.3 h to
~3 h.
2026-10-06 23:39:10 -07:00
Frank fa858f4c10 feat(campaign): protected-cast applier, recipe markers, KLD gate runner
apply-protected-cast.sh splices derive-protected-experts.py output into
the recipe's PROTECTED-BEGIN/END section (refuses to re-derive, trashes
the pre-edit recipe). kld-gate-swift15.sh boots the candidate on the
serving pin in --kld-ref mode (pool fully resident, no disk tier) and
enforces mean KL<=0.03 / top-1>=95% from the JSON report.
2026-10-06 22:41:18 -07:00
Frank 07af1a9366 feat(kld-then-calib): chain KLD record -> 1.2.0 calib serve -> 10M push
One-GPU serialization: the chain waits for the kld driver log to close
rc=0, sanity-checks kld-ref, boots the calibration server, pushes the
corpus at parallel 16 (4 engine slots; queue absorbs the rest), then
kills the server so its trap restores production.
2026-10-06 22:39:14 -07:00
Frank f0d0614ce6 fix(run-swift15-bf16): define KLD mounts (were unbound-empty)
kld died: 'cannot read --kld-corpus /data/kld.jsonl' — KLD_MOUNT was
referenced but never defined, so the corpus/ref-dir mounts silently
expanded to nothing. Add them (nested order: after the /data mount).

feat(convert-swift15-w4dn8): final recipe convert on 1.0.13

Convert with the SERVING pin so the .rad crosses no version boundary;
only the Gram files cross (RADGRAM2 magic, gram.r%d.%s.bin naming and
calib_gram/calib_resolve/calib_stem are byte-identical between the
1.0.13 and 1.2.0 libquant). Host-backend run: prod can stay up.
Gates: grams present (>=48), bf16 container deleted, disk floor,
rad-info gptq receipt, size floor 126000 MiB.
2026-10-06 22:37:16 -07:00
Frank 9aed9987b6 fix(run-swift15-bf16): kv pool 3072 both offline arms
The weights slab derives as card - headroom - kv, and the disk tier
refuses under 9.57 GiB (4.21 layer buffers + 5.36 fixed). 4608 starved
it (8.68 budget, DID NOT FIT). 3072 leaves 10.2 for weights; 4x16k fp8
slots fit the pool, recording is prefill-bound so slot count only
queues pushes.
2026-10-06 22:33:19 -07:00
Frank 4048dc8630 fix(run-swift15-bf16): per-mode engine pins + explicit KV pools
kld stays on 1.0.13 (record on the scoring engine) with --vram-kv-mib
4608 + 16 slots: the ratio-derived pool came up SHORT by 217 MiB at
32x16k. calib moves to 1.2.0: the RADIANCE_CALIB_TOKENS tap is a 1.2.0
qwen4exp plugin feature (1.0.13 plugin has the DIR half only), and
Grams are bf16 activations - engine-invariant. --vram-kv-mib 9984
covers 64x16k fp8 slots.
2026-10-06 22:31:17 -07:00
Frank 9bc40fd899 fix(run-swift15-bf16): drop duplicated radiance arg (image entrypoint already runs radiance) 2026-10-06 22:25:01 -07:00
Frank bb60e8524f run-swift15-bf16: boot the bf16 container for KLD record / calibration (vendor disk-tier shape) 2026-10-06 21:46:05 -07:00
Frank 319dd0f7da derive: restore the header read 2026-10-06 21:42:16 -07:00
Frank 650dfff5a2 derive: RADGRAM2 header is magic,k,rank,rows,domain (28 B) 2026-10-06 21:42:00 -07:00
Frank de70320cde derive-protected-experts: RADGRAM2 scan + 3%/3x law + parity fill from calib recording 2026-10-06 21:41:16 -07:00
Frank 910c54b6ff frank-primary: keep 1.0.13 engine pin — 1.2.0 bench rejected (accept 0.7123 vs 0.7549, decode -2.9%; vram pair exonerated, ledger-exact) 2026-10-06 21:35:39 -07:00
Frank 8c887e6fc9 calib-push: drive calib.jsonl through scratch prefill until the tap writes Hessians 2026-10-06 21:32:56 -07:00
Frank 49dd2be4cd corpus: handle codeparrot content column + per-class caps
- load_parquet_texts: read codeparrot-clean 'content' column (schema-robust)
- per-class HF caps (prose 60k for short ~66-tok rows, code 40k for long files)
- pyarrow 18: ParquetFile.iter_row_groups removed -> read_table().to_pydict()

Produces 10,014,932 calib tokens (4.5M code/3.0M prose/2.5M tools) and
1,800,816 KLD tokens (197 prompts, all >=8192, score_from=n-256) from real
HF sources (codeparrot-clean + wikitext-103).
2026-10-06 21:16:16 -07:00
Frank a11f703c49 swift15: corpus generator v2 — HF code/prose ingest, richer tool JSON, 8k KLD prompts 2026-10-06 20:58:32 -07:00
Frank 6cdf88f611 swift15: restore the numpy import the census edit clobbered 2026-10-06 20:41:33 -07:00
Frank 259fc5505d swift15: PLE audit adds over-cap census + next-bf16 scale suggestion 2026-10-06 20:41:07 -07:00
Frank 3e46d51df8 swift15: BF16 absmax bits belong in the HIGH half of the float32 2026-10-06 20:39:21 -07:00
Frank d062a376b2 swift15: corpus generator (10M calib + 1.8M KLD, Froggeric-rendered, disjoint pools) 2026-10-06 20:38:26 -07:00
Frank 95219cf4c1 swift15: release the numpy view before closing the PLE audit mmap 2026-10-06 20:35:51 -07:00
Frank fee66187a1 swift15: PLE fixed-scale audit (streaming BF16 absmax vs 448*scale cap) 2026-10-06 20:33:55 -07:00
Frank 0258ae0897 frank-primary: pin radiance v1.2.0, translate expert-vs-cache-ratio to vram knobs
Engine v1.2.0 (Codeberg e95d397, Docker Hub tag 1.2.0, index digest
665775ed...) removes --expert-vs-cache-ratio. The explicit
--vram-weights-mib 26071 / --vram-kv-mib 3543 pair transcribes the live
1.0.13 boot ledger at ratio 0.82 (weights 25.46 GiB, KV 3.46 GiB per
card); bracket arms scale KV linearly in (1-r): 0.90 -> 1968, 0.95 -> 984.
Serve script, autoresearch harness, and bats gates follow; the bats
shape asserts are realigned to the deployed seqs=3/spec=2 sweep result
(95923d3, df6b5bb) they failed to track.
2026-10-06 20:31:46 -07:00
Frank 9aee00f2b3 swift15: fetch script + w4dn8 expert recipe for the frank-primary campaign
- download-frank-primary-swift15.sh: ukisai/Swift1.5-Qwen3.8-Flash-Next
  (BF16, 131 shards + index + configs, 360037355038 B = 335.3 GiB, ungated)
  via the vendored hfget.sh; verify = listed sizes + 131-shard weight-map
  count + every shard's sha256 against the Hub LFS oid. Pattern cloned
  from scripts/download-frank-primary.sh.
- qwen4exp-swift15-w4dn8-i8-hc8m.recipe: routed experts with DOWN at
  block-fp8 (rtn codes=fp8_e4m3 block=128x128 scale=bf16, the served
  FP8-native tile form; moe_gemm_fp8a8 reads it; minicpm5-2b is the
  shipped bf16->fp8a8 precedent) and gate_up at w4nl64 GPTQ cd=3;
  hc/MTP-fc fp8, trunk i8, lm_head i8, PLE fixed scale, draft_head u2
  (inert). Protected-expert cast lines carry the BASE checkpoint's names
  as a warm start; the derivation step rewrites them from Swift's own
  calibration recording before the recipe is ever run (law documented
  in the file).
2026-10-06 19:19:40 -07:00
309 changed files with 11896 additions and 4408 deletions
@@ -1,4 +1,4 @@
# Tunables for frank-large (kingjones777/Qwen3.8-Flash-Next-ROCmFP4-
# Tunables for frank-dragoon (kingjones777/Qwen3.8-Flash-Next-ROCmFP4-
# STRIX-GGUF on the kingjones30/ROCmFPX llama.cpp runtime, Dankclaw,
# Strix Halo gfx1151, unified memory).
#
@@ -56,7 +56,7 @@ CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}'
# Alias + network.
ALIAS=frank-large
ALIAS=frank-dragoon
BIND_ADDR=0.0.0.0
LISTEN_PORT=7770
@@ -1,5 +1,5 @@
[Unit]
Description=ROCmFPX (kingjones30 fork) llama.cpp Qwen3.8-Flash-Next ROCmFP4 STRIX 177B MoE (dankclaw, frank-large)
Description=ROCmFPX (kingjones30 fork) llama.cpp Qwen3.8-Flash-Next ROCmFP4 STRIX 177B MoE (dankclaw, frank-dragoon)
After=network-online.target
Wants=network-online.target
@@ -7,8 +7,8 @@ Wants=network-online.target
Type=simple
User=dank
Group=dank
Environment="FRANK_LARGE_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-large.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-large.sh
Environment="FRANK_DRAGOON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-dragoon.sh
Restart=on-failure
RestartSec=10
+1 -1
View File
@@ -6,7 +6,7 @@
# is reachable on this port regardless of the boot tag. The NPU is a
# single-lane device: generations serialize FIFO, and the first request after a
# model swap pays the ~6-11 s load cost. The NPU draws from the unified RAM
# pool shared with frank-large (iGPU).
# pool shared with frank-dragoon (iGPU).
FLM_MODEL=nuextract3:4b
FLM_HOST=0.0.0.0
FLM_PORT=7771
@@ -1,6 +1,6 @@
#!/usr/bin/env bash
# Serve kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF as
# frank-large via the kingjones30/ROCmFPX llama.cpp runtime on
# frank-dragoon via the kingjones30/ROCmFPX llama.cpp runtime on
# Dankclaw (Strix Halo gfx1151, unified memory).
#
# Runtime: kingjones30/ROCmFPX (fork of charlie12345/ROCmFPX with the
@@ -29,7 +29,7 @@
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a
# shellcheck disable=SC1090
@@ -44,7 +44,7 @@ fi
: "${MMPROJ_PATH:=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/mmproj/mmproj-Qwen3.8-Flash-Next-f16.gguf}"
: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
: "${CHAT_TEMPLATE_KWARGS:={}}"
: "${ALIAS:=frank-large}"
: "${ALIAS:=frank-dragoon}"
: "${BIND_ADDR:=0.0.0.0}"
: "${LISTEN_PORT:=7770}"
: "${CTX_SIZE:=401408}"
+1 -1
View File
@@ -4,7 +4,7 @@
# Runs `flm serve <tag>` on the XDNA2 NPU (50 TOPS, Dankclaw). The NPU is a
# single-lane device: generations serialize in FIFO order, so this is a
# background/triage endpoint, not an interactive multi-user chat. The NPU
# draws from the unified RAM pool shared with frank-large (the iGPU
# draws from the unified RAM pool shared with frank-dragoon (the iGPU
# llama.cpp service); see serverAppConfigs-docs/LLM/frank-npu.md
# for the memory budget and the model-selection tradeoff.
#
+278 -243
View File
@@ -9,11 +9,11 @@ services run from `/home/dank/serverAppConfigs` on each host (the 2026-08-22
merge absorbed the former `vllmScripts` repo, history preserved).
- **Dankserver** (192.168.0.235) — media/library stack (RomM, Copyparty,
Calibre-Web, Jellyfin, Plex) plus the `frank-primary` LLM service.
Calibre-Web, Jellyfin, Plex) plus the `frank-archon` LLM service.
- **Dankclaw** (192.168.0.143) — AI/search/dev/observability stack (SearXNG
via Gluetun, ComfyUI, OpenWebUI, Hermes, Gitea, Grafana, Prometheus, Loki,
Alloy, Pi-hole) plus TWO LLM services: `frank-large` (flash-server
container on the gfx1151 iGPU) and `frank-secondary` (llama.cpp CUDA on the
Alloy, Pi-hole) plus TWO LLM services: `frank-dragoon` (flash-server
container on the gfx1151 iGPU) and `frank-zealot` (llama.cpp CUDA on the
RTX 3090). Caddy on
Dankclaw reverse-proxies both hosts.
- **FrankBook-Pro** (192.168.0.112) — macOS mini running the *arr stack
@@ -25,9 +25,9 @@ merge absorbed the former `vllmScripts` repo, history preserved).
| Target | Service | Runtime | Model | Port |
|--------|---------|---------|-------|------|
| Dankserver | `frank-primary` | **radiance** (StillDeadcode v1.0.7 line; image `stilldeadcode/radiance@sha256:4c3f484564…` digest-pinned INDEX digest, 287 MiB, `libr4d` gfx1201 kernels, plain `podman run`, root systemd unit) | `Qwen/Qwen3.8-Flash-Next-FP8` official (172.8 GB, 131 shards, sha256-verified) converted **no-recipe** to `qwen4exp-fp8-native.rad` (177,109 MiB measured = 173.0 GiB) — **native modelopt block-FP8, no requantisation** — on **BOTH R9700s TP=2** (`--tp-wire wht6`), experts in a **40 GiB/rank pinned host pool** + VRAM cache (`--placement expert_tiered`, `--expert-vs-cache-ratio 0.82` = the 99 %-hit point), **PLE 47.7 GiB pinned to host RAM** (`--ngram-placement ram`; root unit + `LimitMEMLOCK=infinity`), **fp8 KV 7.32 KiB/token**, **MTP spec decode depth 3**, *…
| Dankclaw | `frank-large` | **halogen-flash-server 0.16.2** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`, digest-pinned, plain `podman run` via `scripts/serve-frank-large.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 head per request and HALVES decode)**, MTP head INSIDE the checkpoint (`HALOGEN_MTP_HEAD` unset; no sidecar fetched), **2 slots × 200,192 ctx** (KV pool 400,384 positions ≈ 10.7 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), **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-secondary` | llama.cpp master (0.5.0-dev, commit `5fc4f3c`), CUDA sm_86 build (root systemd unit, relinked) | ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF **RCO-IQ3_XXS -mtp** (27B dense qwen3_5 hybrid, 10,442,827,392 B; a per-tensor allocation mix of stock types; the MTP head in the file **drafted** — **spec ON** (draft-mtp depth 3) since 2026-10-06 evening, ngram skipped on the recurrent-rollback law) + the publisher's own **BF16 mmproj** for **vision**, on the RTX 3090, **2 × 114,688** (Frank's 112k cap each since the 2026-10-06 late reshape, cut from 131,072 to fund the **ubatch ladder 512 → 1024 → 2048** — **1,005 MiB free at boot, 763 settled after a vision probe** (encoder buffers resident)) with **q8_0 K + q8_0 V (FP8 class, 34 KiB/token)** under flash attention, batch 4096 / **ubatch 2048** (the ceiling for this shape — 4096 would not fit); **prefill 1,209 t/s @ 3,760 tokens; ~52–58 t/s recipe decode** (MTP acceptance 34–54 %, temp-1.0 noise; decode is ubatch-invariant). Renamed from `frank-small` 2026-10-06 (87721ab). Supersedes the same-morning IQ3_S-mtp payloads: the two-slot no-spec shape and the one-slot MTP shape (both 2026-10-06; payload on disk).|7771|
| 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 **40 GiB/rank pinned host pool** + VRAM cache (`--placement expert_tiered`, explicit `--vram-weights-mib 26071 --vram-kv-mib 3543`), **47.7 GiB n-gram copy pinned to host RAM** (`--ngram-placement ram`; root unit + `LimitMEMLOCK=infinity`), **fp8 KV** (inherited; pool 3.46 GiB), **MTP spec decode depth 2**, `--max-num-seqs 3`, `--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). Cutover 2026-10-08 from fp8-native (payload on disk = rollback). | 7770 |
| Dankclaw | `frank-dragoon` | **halogen-flash-server 0.16.2** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`, digest-pinned, plain `podman run` via `scripts/serve-frank-dragoon.sh`, root systemd unit) | Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated **`qwen38-flash-next-v2-swift15-abliterated.hgn`** (66,687,678,464 B = compacted r2 of the card's 89,775,868,032 B original, ~62 GiB resident; the v2 `.hgn` format loads in NO other engine), **+ REQUIRED `qwen38-flash-next-ngram.hgn`** (51,200,246,144 B, peonist @5cc17cea — read beside the checkpoint) **+ vision tower** (897,916,416 B, @e053f488 — **vision ON**, `image_url` parts only, ≥256 px probes), **MTP spec decode ALWAYS-ON (`HALOGEN_SPEC_ADAPT=0` — the adaptive default disables the drafter per request and HALVES decode)**, MTP head INSIDE the checkpoint (`HALOGEN_MTP_HEAD` unset; no sidecar fetched), **2 slots × 262,144 ctx** (KV pool 524,288 positions ≈ 14.0 GiB at ~28 KiB/position; the 27B slots>1-disables-drafting law does NOT carry over — batching and speculation coexist, the card's quickstart ships 2 with the head), harness window 217,088 = ceiling − 45k estimate headroom, **server-side sampler 1.0/0.95/20** (card recipe; models.yml extraBody matches), coupled cap/timeout 65536/7200, prompt cache ON by default (warm 100k turn ≈ 2 s vs ≈ 88 s cold)|7770|
| Dankclaw | `frank-zealot` | llama.cpp master (0.5.0-dev, commit `5fc4f3c`), CUDA sm_86 build (root systemd unit, relinked) | HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive **Q6_K** (7,359,259,008 B; dense `qwen35` hybrid: 32 layers, 8 full-attention + 24 Gated DeltaNet, 4 KV heads × 256 dim, vocab 248,320, native 262,144, **no MTP tensors in the file**) + the publisher's own **BF16 mmproj** (921,704,448 B) for **vision**, on the RTX 3090, **TWO 200,704-token slots** (`--ctx-size 401408 --parallel 2`), **exact f16 K + f16 V** under flash attention (32 KiB/token over the 8 full layers = 12.25 GiB pool), batch 4096 / **ubatch 2048** (measured CUDA optimum), `--log-verbosity 4`, **MTP OFF** (forced: no `nextn` tensors exist). Priced from the MiMo Q6_K boots (same geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279 at 2048. Cutover 2026-10-07 (late) from Gemma4-26B-A4B Q4_K_M 1×200,704. All three endpoints route harness **compaction** here. | 7771 |
Retired endpoints (`frank-npu`, and every prior runtime) are in
the [runbook index](#runbook-index). The full swap history lives in
@@ -35,11 +35,16 @@ the [runbook index](#runbook-index). The full swap history lives in
## Repository Layout
- `dankserver/` — compose.yaml + Caddyfile + .env.example for the media stack
- `dankclaw/` — compose.yaml + Caddyfile + .env.example for the AI stack
- `shared/` — homepage, Prometheus, Loki, Alloy, SearXNG configs
- `scripts/` — `deploy.sh` / `deploy-plan.py` / `deploy-remote.sh`, LLM serve
scripts, systemd units, env tunables, bench harnesses
- `dankserver/` — quadlet units + Caddyfile for the media stack (the
compose.yaml inventory retired 2026-10-13; its mounts had diverged from
the quadlets)
- `dankclaw/` — quadlet units + Caddyfile for the AI stack (compose retired 2026-09-16)
- `shared/` — the service inventory (`services.yml`), homepage, Prometheus,
Loki, Alloy, SearXNG configs
- `scripts/` — `deploy.sh` / `deploy-plan.py` / `deploy-remote.sh` and
`service-map.py` (the inventory's only reader), LLM serve scripts + the
shared artifact gates (`scripts/lib/llm-gates.sh`), systemd units, env
tunables, bench harnesses
- `old/` — retired LLM scripts (reference only)
- `serverAppConfigs-docs/` — knowledge base (Obsidian vault, OKF format).
The managed skill library is distilled there one page per skill-cluster:
@@ -66,14 +71,19 @@ All edits flow through git. Never edit files on a remote machine directly.
./scripts/deploy.sh dankclaw
./scripts/deploy.sh dankserver
./scripts/deploy.sh dankclaw --service searxng
./scripts/deploy.sh dankserver --service frank-primary
./scripts/deploy.sh dankserver --service frank-archon
./scripts/deploy.sh dankclaw --dry-run
```
The planner maps changed paths to services; the remote runner restarts only
the selected service and records its revision outside the checkout.
The inventory (`shared/services.yml`, read only through
`scripts/service-map.py`) maps changed paths to services; the remote runner
restarts only the selected service and records its revision outside the
checkout. Both `--service` allow-lists, the planner, and the changed-test
seam mapper ARE the inventory — adding, moving, or retiring a service is a
data edit, not a script edit
(`serverAppConfigs-docs/Architecture/Service Inventory.md`).
Documentation-only changes are a no-op. LLM services are selected only by
their own files — every endpoint (`frank-large`/`frank-secondary`/`frank-primary`)
their own files — every endpoint (`frank-dragoon`/`frank-zealot`/`frank-archon`)
by its unit/env/serve trio in `scripts/` — so
unrelated
container changes cannot interrupt inference. Set `FRANK_SUDO_PW` for headless
@@ -85,7 +95,7 @@ restarts each service whose marker is behind HEAD *and* whose paths changed
since that marker — so a backlog accumulated by service-scoped deploys fires
all at once, and one failing health gate aborts the run with every later
service left pending. Name the service unless a drain is what you want
(`./scripts/deploy.sh dankserver --service frank-primary`).
(`./scripts/deploy.sh dankserver --service frank-archon`).
### Deployment completeness (MANDATORY)
@@ -164,12 +174,17 @@ Tests are mandatory before commit (`bats` required on the dev machine):
./tests/run.sh
```
Seams: compose validity, env consistency (no leaked secrets), Caddyfile
Seams: env consistency (no leaked secrets), Caddyfile
validity, quadlet units, docs completeness **including vault link integrity**,
script syntax (shell + python), LLM unit integrity, LLM secret hygiene,
deployment flow, service-scoped planning, homepage config/pages/deploy/checker,
and `e2e_scaffold` — which fails if a Playwright spec file's number prefix is in
no project, because such a spec silently never runs.
LLM artifact gates (`llm_gates`/`llm_deploy_gates` — the shared
`scripts/lib/llm-gates.sh` every endpoint's serve and deploy gates run on),
deployment flow, service-scoped planning, the **service inventory**
(`service_inventory.bats`: inventory soundness, the pinned path->service
plan fixture, render drift for the Pi-hole hosts file), homepage
config/pages/deploy/checker, and `e2e_scaffold` — which fails if a
Playwright spec file's number prefix is in no project, because such a spec
silently never runs.
See `serverAppConfigs-docs/Architecture/Testing Policy.md`.
## Secret Rules
@@ -229,17 +244,17 @@ archive.
**STOP the production service BEFORE benchmarking** — these servers serve
real users, and a bench beside a live service starves the GPU and corrupts
results. Use the runtime's own harness: `llama-bench` for the llama.cpp
endpoints; a live llama.cpp server also reports honest per-request numbers in the `/completion` `timings` object (prefill/decode rates, `draft_n`, `draft_n_accepted`), which is how frank-large and frank-secondary were measured. Rolling your own bench
endpoints; a live llama.cpp server also reports honest per-request numbers in the `/completion` `timings` object (prefill/decode rates, `draft_n`, `draft_n_accepted`), which is how frank-dragoon and frank-zealot were measured. Rolling your own bench
requires asking first.
Scratch ports are not used on LLM hosts — a
test process cannot share the single GPU anyway; validate against the service
itself.
(A gufo-era law; frank-large ran ROCmFPX llama.cpp 2026-10-02 → 10-05, the
(A gufo-era law; frank-dragoon ran ROCmFPX llama.cpp 2026-10-02 → 10-05, the
halogen 27B container 2026-10-05 → 10-06, and is flash-server since, but the
rollback tags keep it live.) **`gufo bench` cannot rank speculative-decode
settings, and will invert the ranking.**
Measured 2026-09-28 on frank-large at depth 32768: its corpus
Measured 2026-09-28 on frank-dragoon at depth 32768: its corpus
reports `acceptance=0.933 ± 0.000` with an **identical trace sha256** across
draft widths, i.e. the same highly-predictable text every run, and 93 % of
every proposal accepted. It reported 29–37 t/s decode where real traffic
@@ -264,12 +279,12 @@ one: `ip neigh show <ip>` from a peer — FAILED means off/NIC dead, while a
merely wedged kernel usually still answers ARP.
1. Stop and mask (self-healing would restart it):
- Dankclaw `frank-large` (root unit, halogen podman on the iGPU):
`sudo systemctl stop frank-large && sudo systemctl mask frank-large`
- Dankclaw `frank-secondary` (root unit, llama.cpp on the 3090):
`sudo systemctl stop frank-secondary && sudo systemctl mask frank-secondary`
- Dankserver `frank-primary` (root unit, radiance on both R9700s, TP=2):
`sudo systemctl stop frank-primary && sudo systemctl mask frank-primary`
- Dankclaw `frank-dragoon` (root unit, halogen podman on the iGPU):
`sudo systemctl stop frank-dragoon && sudo systemctl mask frank-dragoon`
- Dankclaw `frank-zealot` (root unit, llama.cpp on the 3090):
`sudo systemctl stop frank-zealot && sudo systemctl mask frank-zealot`
- Dankserver `frank-archon` (root unit, radiance on both R9700s, TP=2):
`sudo systemctl stop frank-archon && sudo systemctl mask frank-archon`
2. Bench.
NOTE: `systemctl mask` FAILS on a relinked unit (the unit file in
`/etc/systemd/system/` is itself a symlink into the checkout — mask
@@ -286,9 +301,18 @@ deletes the unit file from `/etc/systemd/system/`, not just the symlink.
The harness reaches the fleet through `.omp/agent/models.yml` in the
operator's home — `/home/blank/.omp/agent/models.yml` on the dev box, which is
where the harness runs; there is no copy on the servers. Each provider is one
HOST:PORT; each model `id` is the served alias: `frank-primary` →
`192.168.0.235:7770`, `frank-large` → `192.168.0.143:7770`, `frank-secondary` →
`modelRoles`.
HOST:PORT; each model `id` is the served alias. **Official model ids are
the StarCraft unit names (2026-10-08), on the wire since 2026-10-09, and
since 2026-10-10 they are also the SERVICE names:** `frank-archon` →
`192.168.0.235:7770` (`FRANK_ARCHON_SERVED_NAME`), `frank-dragoon` →
`192.168.0.143:7770` (`HALOGEN_MODEL_ID`), `frank-zealot` →
`192.168.0.143:7771` (`ALIAS`). The 2026-10-10 cutover renamed the units,
scripts, env files, containers, deploy services and runbooks to match —
the three former service names are fully retired and exist nowhere in
the repo; historical text in runbooks uses the current names. Verify a
rename on `/v1/models`, never
on a chat response: radiance echoes the **requested** model name, so a 200
proves nothing about the served id (llama.cpp and halogen ignore it).
Resolution rules: the default model resolves as a `defaultProvider` +
`defaultModel` pair (the provider must serve the model); a subagent override
@@ -301,18 +325,20 @@ provider block, model `id`, `contextWindow`, `maxTokens`, `input` in
`models.yml`, then fix every `modelRoles` entry that named the old endpoint —
a role pointing at a provider the file does not define fails at call time. As
of 2026-10-06 **all three endpoints accept images** (`input: [text,
image]`) — `frank-large` returned to vision with the flash-server v2 swap
image]`) — `frank-dragoon` returned to vision with the flash-server v2 swap
(the v2 vision tower loads beside the checkpoint; the text-only halogen
27B window closed 2026-10-06) — while
`frank-primary` takes them natively (radiance runs the checkpoint's
`frank-archon` takes them natively (radiance runs the checkpoint's
27-layer Qwen-VL tower — patching, pad-token expansion and 3-part rotary
are the engine core; `--mm-max-patches` available),
and `frank-secondary` through
the publisher's own `mmproj-BF16.gguf` passed as `--mmproj` — the Swift
GGUF itself carries no vision tensors. `frank-secondary`'s `contextWindow` is
**114688** (cut from 131072 on 2026-10-06 late to fund the ubatch ladder to 2048), the
per-slot window, not the model's native 262144: the harness must compact
before llama.cpp answers a longer prompt with a 400. Note also
and `frank-zealot` through
the publisher's own BF16 mmproj passed as `--mmproj` — the model is natively
multimodal but the Q6_K GGUF carries no vision tensors (same arrangement the
Gemma4 era used). `frank-zealot`'s `contextWindow` is
**200704** — the PER-SLOT window (`--ctx-size 401408 --parallel 2` since the
2026-10-07 Qwen3.5-9B swap), not the pool and not the model's native 262144:
the harness must compact before llama.cpp answers a longer prompt with a 400.
Note also
that
the reasoning channel differs by runtime: llama.cpp AND SGLang (qwen3
parser, live-verified) emit `reasoning_content`, vLLM emits `reasoning` —
@@ -321,22 +347,22 @@ There is **no audio**
input anywhere in the fleet: that capability left with the FLM NPU
endpoint on 2026-09-11, returned 2026-09-17 with the Gemma4 projector's
audio encoder, and left again with the Gemma4 retirement on 2026-10-01
(the MiMo tower is vision-only).
(neither the MiMo nor the Qwen3.5 tower carries audio).
### frank-large — halogen-flash-server 0.16.2, Qwen3.8-Flash-Next v2 Swift1.5 ABLITERATED (Dankclaw, ACTIVE)
### frank-dragoon — halogen-flash-server 0.16.2, Qwen3.8-Flash-Next v2 Swift1.5 ABLITERATED (Dankclaw, ACTIVE)
The **flash-server engine** (`ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`,
digest-pinned, published tag 0.16.2, 3.6 GB image) as a podman container
driven by `scripts/serve-frank-large.sh` under a **root systemd unit**
(`scripts/frank-large.service`, `User=dank`, `Restart=always`,
`ExecStop=podman stop -t 60 frank-large-halogen`, the script runs `podman
driven by `scripts/serve-frank-dragoon.sh` under a **root systemd unit**
(`scripts/frank-dragoon.service`, `User=dank`, `Restart=always`,
`ExecStop=podman stop -t 60 frank-dragoon-halogen`, the script runs `podman
run` FOREGROUND — the container's exit code is the service's exit so
`Restart=always` stays real, and the engine ledger lands on disk) on port
7770 from the Strix Halo iGPU. Engine stdout goes to
`/home/dank/logs/frank_large.log` — **the boot ledger (weights resident, KV
`/home/dank/logs/frank_dragoon.log` — **the boot ledger (weights resident, KV
pool, MTP head, prompt cache, any clamp) lives there, not in the journal**.
Cutover 2026-10-06 from the halogen 27B-dense era
([[frank-large-halogen27b-dflash2]], retired the same window).
([[frank-dragoon-halogen27b-dflash2]], retired the same window).
Serving `Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated`:
`qwen38-flash-next-v2-swift15-abliterated.hgn` (66,687,678,464 B ≈ 62.1
@@ -358,22 +384,29 @@ sidecar is deliberately not fetched).
**Product facts vs the 27B era, both regressions FIXED:** the base is
**abliterated** (the 27B was a censored-base finetune; refusals were an
accepted trade there) and **vision is ON** (the 27B engine silently
ignored its encoder — frank-secondary owned images for exactly one day at this
ignored its encoder — frank-zealot owned images for exactly one day at this
endpoint).
**Engine laws that shape the config** (all in `scripts/frank-large.env`
**Engine laws that shape the config** (all in `scripts/frank-dragoon.env`
with evidence): `HALOGEN_SPEC_ADAPT=0` is MANDATORY — the default adaptive
policy disables the MTP head for whole requests after low acceptance and
HALVES decode; the head stays on and temp-1.0 traffic pays some acceptance
for it (accepted). `HALOGEN_CTX=200192` is the PER-SLOT hard ceiling (400
naming the limit, never truncation); `models.yml` `contextWindow: 200192`
must match, and compaction at 70 % = 140,134 + 57,344 budget = 197,478 fits.
for it (accepted). `HALOGEN_CTX=262144` is the PER-SLOT hard ceiling (400
naming the limit, never truncation) — RAISED from 200192 on 2026-10-07
under the 400-zone law: the harness clamps max_tokens to
`min(45056, contextWindow − est − 4096)`, its chars/4 est UNDER-counts
the rendered prompt by ~3 % (measured: est 152,938 → server 157,388,
request 43,158 vs room 42,804), so a harness window == engine ceiling
made every request over ~146k est a guaranteed 400. `models.yml`
`contextWindow: 217088` leaves the 45k gap that absorbs the estimate
error (worst-case request ≈ 219k ≤ 262144); compaction fires at 85 % of
the harness window = 184,524 est ≈ 190k measured (Frank's 180k target).
`HALOGEN_KV_SLOTS=2` is LEGAL here — the 27B "slots>1 disables the drafter"
law does NOT carry over; batching and speculation coexist (the card's
quickstart ships 2 slots with the head), so 2 is concurrent capacity.
`HALOGEN_KV_POOL_POSITIONS=400384` (explicit 2 × ctx; ~28 KiB/position ⇒
~10.7 GiB). `HALOGEN_MAX_TOK=8192` is only the per-request DEFAULT (the
harness always sends 57,344); `HALOGEN_MAX_TOKENS_CAP=65536` +
`HALOGEN_KV_POOL_POSITIONS=524288` (explicit 2 × ctx; ~28 KiB/position ⇒
14.0 GiB). `HALOGEN_MAX_TOK=8192` is only the per-request DEFAULT (the
harness sends at most its `maxTokens` 45056); `HALOGEN_MAX_TOKENS_CAP=65536` +
`HALOGEN_QUEUE_TIMEOUT=7200` are a coupled pair (FLAGS.md table).
**A server-side sampler EXISTS** (`HALOGEN_TEMPERATURE/TOP_P/TOP_K` =
1.0/0.95/20, the card's thinking recipe) — an absent temperature is no
@@ -389,14 +422,14 @@ stays mandatory. Thinking tokens COUNT against the budget (empty content +
"video".
**Memory ledger** (121.2 GiB unified; the referee is the boot ledger):
weights ~62 + KV ~10.7 + arena ~8 (`3.8 + 8.4 × MAX_TOK/16384`) + vision
~2 ≈ 82.7 GiB engine-side + `HALOGEN_HOST_RESERVE_GIB=20` → ~18 GiB
weights ~62 + KV 14.0 + arena ~8 (`3.8 + 8.4 × MAX_TOK/16384`) + vision
~2 ≈ 86 GiB engine-side + `HALOGEN_HOST_RESERVE_GIB=20` → ~15 GiB
margin over baseline co-tenancy. The 51.2 GB n-gram table rides as mmap'd
page cache beside the checkpoint — the card's quickstart arithmetic does
not bill it as resident, but READ the boot ledger and re-size if the
engine prints a clamp.
Fetch: `scripts/download-frank-large-flashnext.sh` into
Fetch: `scripts/download-frank-dragoon-flashnext.sh` into
`/home/dank/models/halogen-flashnext-v2/` (`-f` + exact byte counts + LFS
sha256 + `--verify-only`, no token on the command line; resume goes
against the RESOLVED CDN URL because curl drops `Range` across HF's 302).
@@ -405,164 +438,163 @@ n-gram + vision tower, flat tokenizer with all six files as regular
files) — the 2026-10-01 crash-loop lesson.
Runbook:
`serverAppConfigs-docs/LLM/frank-large-flash-server-v2-swift15.md`.
`serverAppConfigs-docs/LLM/frank-dragoon-flash-server-v2-swift15.md`.
Rollback: revert the swap commit and redeploy — the 27B payload
(`/home/dank/models/halogen-qwen3.8-27b/`), its fetch script and the
halogen 0.1.4 image digest all remain on disk; the ROCmFPX door behind
that (`scripts/build-rocmfpx.sh`, pin `36e9acd`) is untouched.
### frank-secondary — llama.cpp on the RTX 3090 (Dankclaw, ACTIVE)
### frank-zealot — llama.cpp 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**
(`scripts/frank-secondary.service`, `relink_unit`ed into
`/etc/systemd/system/`), serving `ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF`
at **RCO-IQ3_XXS -mtp** (10,442,827,392 B, sha256 `e13d3e74…`) **plus
the publisher's own `mmproj-BF16.gguf`** (931,145,888 B, sha256
`19acd7fc…`), both `/home/dank/models/Swift15-UncIQ3XXS/`, on port 7771.
Cutover 2026-10-05 (evening) on Frank's explicit contract: **128k
context cap, KV at FP8, vision on, as many 128k contexts as fit**;
reshaped three times on 2026-10-06 — morning to two 131,072 slots
no-spec, evening to this UNCERSED RCO-IQ3_XXS payload with MTP back
on, late the RENAME to **frank-secondary** (87721ab) at two 114,688
slots with the ubatch ladder climbing 512 → 1024 → 2048 (f2575a1,
d8da7a9). The
same-day payloads it supersedes: the LIVE MiMo-V2.6 Q6_K shape and the
Ornith-1.5-9B Q8_0 swap that was committed (77decb5..380aafa) but never
deployed (blocked at the docs gate; the docs debt is what this section
settles).
(`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).
**Architecture: qwen3_5 hybrid, bigger** — block_count 65 (64 real layers +
the blk.64 MTP head), `full_attention_interval 4` ⇒ **16 full-attention +
48 Gated DeltaNet**, native 262,144 window, dense. KV exists only in the 16
attention layers (4 KV heads × 256 dim): 64 KiB/token at f16, **34 KiB/token
at q8_0**. The DeltaNet state is a fixed per-slot buffer (~150 MiB/slot at
48 linear layers × 48 value heads). Header facts were read from the Hub
file by HTTP range + struct parse before anything was downloaded.
**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 shape (2026-10-06 midnight; Frank's tight-fit order, MTP back on
in the evening, per-slot cut + ubatch climbed to 2048):** `--ctx-size
229376 --parallel 2` = **TWO 114,688-token conversations** (Frank's
112k cap each; `n_ctx_slot = CTX_SIZE / PARALLEL`; cut from 131,072 to
fund the ubatch rungs), `--flash-attn on` pinned, **q8_0 K + q8_0 V**
(llama.cpp's FP8 class — no true fp8 KV dtype exists; 8.5 effective
bits; supersedes the same-day f16/f16 rule written for the Ornith 9B
fit), all layers on the GPU, `--mmproj` for vision, batch 4096 /
ubatch 2048. **Speculative decoding is ON** (draft-mtp, depth 3): the
-mtp file's head is drafted against the main model's own weights;
ngram-mod skipped on purpose — on a qwen35 hybrid ngram disables
recurrent-state rollback, so a rejected draft corrupts the DeltaNet
state.
**The shape (2026-10-07):** `--ctx-size 401408 --parallel 2` = TWO
conversations of 200,704 (Frank's cap; the harness `contextWindow` quotes
the per-slot number), `--flash-attn on`, **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`).
**Measured at the midnight boot (2026-10-06, 2 × 114,688 / ubatch
2048): 23,120 used / 1,005 MiB free, settling 763 MiB after a vision
probe** (`nvidia-smi` free; the encoder buffers stay resident on this
boot) — the per-slot cut freed ~1.05 GiB of KV and both ubatch rungs
spent it back (~0.3 + ~0.75 GiB measured; the 1024 rung had landed
22,374/1,751, the 2048 rung cost 746 MiB, ~130 over the 616 the rung
measured on the MiMo shape). The MTP draft ctx costs **~2.4 GiB
measured** (23,636 − 22,728 + 1,561 at the 262,144 draft window) — ~6×
the ~0.4 GiB the one-slot era assumed, because the drafter's KV is
built against the target's FULL context, not the 3-token proposal
depth; the lighter RCO-IQ3_XXS quant (−1.56 GiB vs IQ3_S-mtp) funds it.
**Prefill 1,209 t/s @ 3,760 tokens; decode 52.0–58.2 tok/s (recipe
temp 1.0) / 66.9 (temp 0)**, acceptance 34.2–54.4 % — decode is
ubatch-invariant, the spread is temp-1.0 acceptance noise.
`reasoning_effort` probe unchanged: `xhigh` 200, `high` → 500 Jinja
raise (the models.yml fold stays mandatory).
**Why MTP is off**: it is not a choice — **this Q6_K file carries no
`nextn`/`mtp` tensors** (verified from the tensor-name list), and MTP is a
property of the file, not of the flags. The publisher card advertises "MTP
support" for the base architecture; the quantized export dropped the head.
**Vision with the publisher's own projector**: ajgazin's repo SHIPS
`mmproj-BF16.gguf` in the same repo (the IQ3_S era's unsloth mmproj was
built from the SHARED BASE `Qwen/Qwen3.8-27B`, legal because Swift-1.5's
vision stack was hash-proven byte-identical to the base). The probe
traps carry over: ≥256 px probe images or the model answers "video";
only the OpenAI `image_url` content part reaches the model. **New on
this payload: the uncensored model thinks more than the censored
Swift 1.5** — a 64-token budget is eaten entirely by
`reasoning_content` (empty `content`); 128 tokens clears the vision
probe.
**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).
The RCO-IQ3_XXS tier is a **per-tensor allocation mix** of stock quant
types (IQ3_S 97 / BF16 96 / IQ3_XXS 83 / IQ2_S 72 / IQ4_XS 33 / IQ2_XS 32
/ IQ2_XXS 30 / Q2_K 28 / Q4_K 19 / Q6_K 8 / IQ1_S 4 / IQ1_M 4) — stock
llama.cpp loads it; the tensor-type histogram is the law (see Key
Lessons). Publisher KLD vs Swift BF16: mean 0.002631 / 90th 0.042136 /
max 34.49 — RCO is the publisher's "more experimental" family, and the
payload is the UNCECERSED Swift 1.5 (23/100 refusals vs Swift 1.5's
98/100, KL 0.0884).
**Vision**: the publisher's own BF16 mmproj via `--mmproj` (the model is
natively multimodal; the Q6_K file carries no vision tensors). Probe traps
carry over: ≥256 px probe images or the model answers "video", and only the
OpenAI `image_url` content part reaches the model.
**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).
Runbook:
`serverAppConfigs-docs/LLM/frank-secondary-llama-swift15-unc-iq3xxs-mtp-114688.md`.
Rollback: `/home/dank/models/Swift15-IQ3S/` (the IQ3_S-mtp payload live
until the 2026-10-06 evening swap — revert da36fa3 for the two-slot
no-spec shape) or `/home/dank/models/MiMo-Q6K/` (revert to the
2×200,704 f16 shape — [[frank-secondary-llama-mimo-q6k-2x200704]]) or
`/home/dank/models/Ornith-Q8/` (the committed-never-deployed Q8_0;
revert to 380aafa's tree).
`serverAppConfigs-docs/LLM/frank-zealot-llama-qwen35-9b-q6k-2x200704.md`.
Rollback: revert the swap commit — the Gemma4 payload
(`/home/dank/models/Gemma4-26B-A4B/`), the MiMo Q6_K payload
(`/home/dank/models/MiMo-Q6K/`), the Swift payload
(`/home/dank/models/Swift15-UncIQ3XXS/`) and the Ornith Q8_0 payload
(`/home/dank/models/Ornith-Q8/`) all remain on disk.
### frank-primary — Radiance (StillDeadcode), Qwen3.8-Flash-Next FP8 native, TP=2 (Dankserver, ACTIVE)
### frank-archon — Radiance (StillDeadcode), Swift1.5-Qwen3.8-Flash-Next GPTQ w4, TP=2 (Dankserver, ACTIVE)
The **radiance engine** (StillDeadcode, Apache-2.0; image
`stilldeadcode/radiance@sha256:4c3f484564bb2872784e4…` digest-pinned,
287 MiB, `libr4d@0.5.0` kernels prebuilt for gfx1201, engine as the image
entrypoint) serving the **official `Qwen/Qwen3.8-Flash-Next-FP8`
checkpoint at NATIVE precision** — modelopt block-FP8 throughout, no
requantisation, no calibration. Plain `podman run` through
`scripts/serve-frank-primary.sh` under the root systemd unit
(`frank-primary.service`, `User=dank`, `LimitMEMLOCK=infinity`); the
container name is the unit name (`frank-primary`). Cutover LIVE 2026-10-06
00:55 (chain built 2026-10-05/06);
rollback tag `frank-primary-freetoken-pr587-20261005` (the FreeToken trio
+ Dockerfile are in the tag; the image and the orcarouter payload stay on
disk until the window closes), older rollback `frank-primary-vllm-shapeG-20261003`.
`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.
**Payload chain**: official checkpoint → staging dir whose `config.json`
drops `quantization_config` → `stack-qwen38-official-fp8.py` (two
value-preserving reshapes: experts byte-stacked into the plugin's stacked
`gate_up_proj`/`down_proj` layout with `_scale_inv` at the same index — 49
stacks × 512 experts, no requantisation; PLE's 128 scaleless fp8 shards
decoded to one bf16 shard with the checkpoint's own bf16 scale
1.9931793212890625e-04) → `rad-convert` with ONE `--quant` rule — pure
copy for every weight, and the rtn rule re-encodes the bf16 PLE at that
same fixed scale, an exact round-trip that restores the original codes and
lands the plugin's one-element scale plane →
`/home/dank/models/rad/qwen4exp-fp8-native.rad` (177,109 MiB measured,
floor `FRANK_PRIMARY_RAD_MIN_MIB=177000`). The staging drop is the plugin
SELECTION law (spec §2.4): the descriptor is `(arch_id, quant)` matched
exactly, no shipped plugin claims `(qwen4exp, "fp8")`, the shipped
`qwen4exp_fp8` plugin claims `(qwen4exp, "")` — and the descriptor is only
the selection key, per-weight encodings are data, so nothing else is
requantised.
Raw serve AND unmodified convert both refuse; that is the design. The
checkpoint itself is sha256-verified against the Hub (131/131 shards,
2026-10-05). Built by `scripts/build-frank-primary-rad.sh` (`--plan-only`
first — its declare phase is the engine's own, so a resolving plan boots).
**Shape (both R9700s, TP=2)**: `--tp-wire wht6`, `--max-num-seqs 2`,
`--max-model-len 200000` (the harness contextWindow must quote this),
`--placement expert_tiered --host-pool-mib 44928` + **explicit VRAM
partition `--vram-weights-mib 22208 --vram-kv-mib 6912`** (the vram-pair
replaced `--expert-vs-cache-ratio`; the two are ONE budget —
`weights + kv ≤ 29,120 MiB`, from the measured card 31,856 minus 1,710
consumed outside both budgets minus 1,024 to keep free), `--kv-cache-dtype`
**`bf16` — unquantized KV since 2026-10-11**, `--num-speculative-tokens 2`,
`--max-num-batched-tokens 2048`, prefix cache 8 GiB pinned host + 64 GiB
disk at `/home/dank/radiance-state`, **`--ngram-placement ram`**, Froggeric
v22.5 chat template vendored (`scripts/qwen38-froggeric-v22.5.jinja`,
`--override-chat-template`). Boot ledger: KV pool 6.75 GiB = **462,752 bf16
tokens, "backs 2 sequences all at 200000 tokens at once"** (the fp8 pool's
386,904 backed 1.93), weights slab filled to 147 KiB of slack, host pool
10,375 slots, cards settled 1.85 GiB free.
**Shape (both R9700s, TP=2)**: `--tp-wire wht6` (fused lossy all-reduce,
+5.6–6.3 % prefill / ~−1.3 % 8-stream decode at TP2), `--max-num-seqs 2`
(Frank's first boot; raise from the ledger + slot occupancy), `--max-model-len
200000` (native 262,144; the harness contextWindow must quote this — a longer
prompt is refused, never truncated), `--placement expert_tiered
--host-pool-mib 40960` (native FP8 experts are 112.8 GiB total, 56.4 GiB
per rank slice — the pinned pool is the price of native precision),
`--expert-vs-cache-ratio 0.82` (the measured 99 %-hit point; 0.87 collapses
to 0 %), `--kv-cache-dtype fp8` (**7.32 KiB/token**; a 200K sequence is
1.43 GiB), `--num-speculative-tokens 3` (the checkpoint's own MTP head —
3,101 `mtp.*` tensors, probe depth 3), `--max-num-batched-tokens 2048`,
prefix cache 4 GiB pinned host + 64 GiB disk at
`/home/dank/radiance-state`, and **`--ngram-placement ram`**: the 47.7 GiB
PLE n-gram table (51.2 GB = 29 % of all parameters) serves from pinned
host RAM. Froggeric v22.5 chat template vendored
(`scripts/qwen38-froggeric-v22.5.jinja`, `--override-chat-template`).
Shape notes carried from the fp8-native era and unchanged: wht6 gains,
MNDT 2048 law (2560 collapses decode to 2.6–7.7 t/s), the 64 GiB disk
prefix cache, and the rule that a prompt over `--max-model-len` is
refused, never truncated. What changed: the fp8-native era's NVMe expert
streaming (the 3.5 GB/s wall) is gone — the w4 resident set fits the
host pool, so decode ran 122–173 t/s in the campaign arms and ~190 t/s
on the fp8 shape (512-token streamed probe). The campaign also
measured the int8-KV + spec-3 arm (136.0 t/s median at 44.5k depth,
accept 0.7246).
**The pinned-RAM ledger is why this is a root unit**: 2 × 40 GiB pools +
47.7 GiB PLE + 4 GiB prefix host ≈ **134 GiB** charged against
`RLIMIT_MEMLOCK`. `ttm.pages_limit`/`pages_max` cap GPU-mappable pinned
pages (pre-cutover cap 123 GiB — BELOW the plan); the serve script's
TTM preflight (`FRANK_PRIMARY_TTM_MIN_MIB=140000`) refuses to start until
both knobs are raised in the stop window (sysfs write first, kernel
cmdline + reboot only if read-only).
**The bf16 KV law (2026-10-11)**: `--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 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 block key is an index, not
attention state) — so a token costs 7.3125 KiB at fp8 and 13.8125 KiB at
bf16: **1.89×, not 2×**. Pool sizing must also pay the dtype-independent terms
that live in the same pool (~110 MiB a sequence of recurrent state + 448 MiB
of prefix checkpoints): `(vram_kv − 110·seqs − 448) MiB / 13.8125 KiB` =
462,946 where the engine reported 462,752 (0.04 % page rounding). The cost is
paid twice on this engine, and half-refunded: idle KV VRAM is also the expert
cache's spillover, and the bigger pool *lends* 6.08 GiB to the slab where the
fp8 pool lent 2.69 GiB. `--max-num-seqs 3 → 2` came with the change (two slots
× the window is the capacity contract; the "seqs 2 cannot boot" law belongs to
the retired tcclaviger fork's torch.compile, not radiance) and it also drops
the fused all-reduce to 2 × 3 = 6 rows, under the 25-row bound where wht6 is
bit-exact. Disk-tier sizing law: the engine forces ~9.6 GiB of disk-tier weight
buffers + arena onto the weights side, so `weights + kv` is capped near
29.6 GiB/card; boot with the pair, never `--kv-cache-size-mib`.
**The pinned-RAM ledger is why this is a root unit**: 2 × 44 GiB expert
pools + the 47.7 GiB n-gram copy (`--ngram-placement ram` is pinned RAM
the card reads) + 8 GiB prefix host ≈ **147 GiB** charged against
`RLIMIT_MEMLOCK` — the TTM floor is set just above it.
`ttm.pages_limit`/`pages_max` cap GPU-mappable pinned pages; the serve
script's TTM preflight (`FRANK_ARCHON_TTM_MIN_MIB=150000`, cap on this host
204,800) refuses to start until both knobs are raised in the stop window
(sysfs write first, kernel cmdline + reboot only if read-only).
**Contract facts** (source-verified): the HTTP listener binds AFTER the
full load, so a bare `curl /health` gate is honest (`/health` == `/ping`,
@@ -574,10 +606,11 @@ 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-primary-radiance-qwen38-native-fp8.md`.
Retired FreeToken era: `serverAppConfigs-docs/LLM/frank-primary-freetoken-pr587.md`.
Runbook: `serverAppConfigs-docs/LLM/frank-archon-radiance-swift15-w4dn8.md`.
Retired fp8-native era: `serverAppConfigs-docs/LLM/frank-archon-radiance-qwen38-native-fp8.md`.
Retired FreeToken era: `serverAppConfigs-docs/LLM/frank-archon-freetoken-pr587.md`.
Retired vLLM era: `serverAppConfigs-docs/LLM/dankserver-qwen38-fp8-expert-offload-tuning.md`.
Retired GLM experiment: `serverAppConfigs-docs/LLM/frank-primary-glm53-flash-w4a16.md`.
Retired GLM experiment: `serverAppConfigs-docs/LLM/frank-archon-glm53-flash-w4a16.md`.
## Key Lessons Learned
Durable operational lessons from the fleet's history. Full detail in the
@@ -739,11 +772,11 @@ linked runbooks.
- Swap resize ordering: create and `swapon` the replacement BEFORE `swapoff`
of the old one, or live pages must land in RAM that `MemAvailable`
overstates. Dankclaw swap (64 GiB at `/swap.img`, fstab-driven) protects
the co-tenants, not frank-large — pinned weights don't swap, and paging
the co-tenants, not frank-dragoon — pinned weights don't swap, and paging
the KV pool is worse than the OOM it prevents.
- Host swap state is invisible to `deploy.sh` (no repo file) — check
`swapon --show` before reasoning about headroom.
- **Silent RAM corruption outranks every software theory.** frank-primary's
- **Silent RAM corruption outranks every software theory.** frank-archon's
~40k-token output corruption (2026-10-04/05, repetition/garbage in long
agent conversations) was marginal DDR5 at 4800 MT/s on four DIMMs, fixed
by 4600. Consumer non-ECC memory raises **no MCE** for a silent flip, and
@@ -766,7 +799,7 @@ linked runbooks.
`LimitMEMLOCK=infinity` (systemd is privileged; the value flows through
podman to runc without any raise). Upstream halogen's own run lines pass
NO `--ulimit` at all — copy vendor run lines before adding flags
(measured 2026-10-05 on the frank-large cutover).
(measured 2026-10-05 on the frank-dragoon cutover).
- **Kairic Edge** (if ever re-deployed): the pinned CK commit needs
`third_party/composable_kernel/include/ck/config.h` generated manually
(untracked; `git clean` removes it), and its greedy-argmax fastpath rejects
@@ -792,7 +825,7 @@ linked runbooks.
121 GiB box, pushed `available` to 3 GiB, and every later rate was suspect.
Record the child pid and kill it in a `finally`, then prove `free` came back
before believing a number. Kill by pid — never `pkill -f llama-server`,
which also hits frank-secondary.
which also hits frank-zealot.
**llama.cpp serving**
@@ -816,7 +849,7 @@ linked runbooks.
builds its context against whatever model the draft context holds. Two
context-backed types cannot share one process, and MTP's head only loads
when MTP **is** the draft model. **A LEGAL chain can still lose on a
recurrent model:** `draft-mtp,ngram-mod` on frank-large's qwen35 hybrid
recurrent model:** `draft-mtp,ngram-mod` on frank-dragoon's qwen35 hybrid
measured −15 % prose / −7 % block-copy (2026-10-03) — adding the ngram layer
logs `recurrent state rollback is not compatible with 'ngram-mod' -
disabling rollback support`, and MTP verification depends on that rollback,
@@ -858,7 +891,7 @@ linked runbooks.
free. That was a CONTIGUITY failure, not a total-bytes one, and no totals
model — the sweep's or the seam's — can see it.)
- **On the CUDA 3090 the same knob has NO interior optimum up to 2048, so
frank-secondary ships 4096/2048.** Measured 2026-10-05 by boot-pair A/B on the
frank-zealot ships 4096/2048.** Measured 2026-10-05 by boot-pair A/B on the
live service: at 8,928 prompt tokens ubatch 1024 gives 3,972 / 4,077 t/s and
ubatch 2048 gives 4,207 / 4,212 — **+4.6 %** — for **616 MiB** (free 2,849 →
2,279). Decode did not move (91.9–93.0 vs 93.8–94.3, i.e. noise), and a
@@ -867,9 +900,9 @@ linked runbooks.
than the ubatch cannot see it. The logical `--batch-size` was again free. And
the predecessor's "ubatch 2048 failed the scratch boot" was a shape
observation, not a law: the same file boots 2048 clean at 2 × 200,704. Bench
it by restarting the SERVICE through a transient `FRANK_SECONDARY_ENV_FILE`
it by restarting the SERVICE through a transient `FRANK_ZEALOT_ENV_FILE`
drop-in, never a scratch port — one card holds one server. See
[[frank-secondary-llama-mimo-q6k-2x200704]].
[[frank-zealot-llama-mimo-q6k-2x200704]].
- **One `-ts` step is one LAYER, and a hybrid stack's layers are not the same
size.** qwen35 is 16 x (3 Gated DeltaNet + 1 Gated Attention), so a step is
worth ~0.43 GiB on a DeltaNet boundary and ~1.43 GiB on a full-attention one
@@ -891,7 +924,7 @@ linked runbooks.
CTX_SIZE / PARALLEL`, and llama.cpp refuses a prompt longer than the SLOT
(`400 exceed_context_size_error: request (184001 tokens) exceeds the
available context size (180224 tokens)`) even when the pool has room. So
frank-secondary's 2 → 3 reslice moved each conversation from the model's native
frank-zealot's 2 → 3 reslice moved each conversation from the model's native
262,144 down to 180,224, and `models.yml` `contextWindow` had to follow or
the harness would discover the ceiling as a 400 on a long conversation. Side
effect worth knowing: the shorter slot made decode ~5 % FASTER (106.8 vs
@@ -902,9 +935,9 @@ linked runbooks.
day the freed space also bought the Q6_K rung (now 94.4 tok/s — the rung
itself is a further measured −10 %, weight-bandwidth, not slot geometry).
All moves measured; both slot directions cost or buy window, never pool.
See [[frank-secondary-llama-mimo-q6k-2x200704]].
See [[frank-zealot-llama-mimo-q6k-2x200704]].
- **Price a VRAM budget from two boots, never from a formula — and an mmproj
costs ~1.5x its file size.** The frank-secondary 3090 fit was solved from two
costs ~1.5x its file size.** The frank-zealot 3090 fit was solved from two
measurements: 2 × 262,144 with no projector = 20,190 MiB used (KV 12,800 ⇒
**non-KV 7,390**), 3 × 196,608 with the f16 projector = 22,972 used (KV
14,113 ⇒ **non-KV 8,859**). The difference is the vision tower: a 918 MB file
@@ -912,24 +945,24 @@ linked runbooks.
ride with it. Subtracting the two rows is exact; extrapolating weights+KV+
"a bit for buffers" is what leaves 1.1 GiB free when you meant 2.7. Then
solve `KV ≤ card − non-KV − headroom` and round to a multiple of
`PARALLEL × 4096`. Recorded in `scripts/frank-secondary.env` so the next resize
`PARALLEL × 4096`. Recorded in `scripts/frank-zealot.env` so the next resize
starts from measurement.
- **`images` and `image_url` are NOT interchangeable: only the content part
reaches the model.** `--mmproj` loads, `usage.prompt_tokens` rises, and the
model still invents an answer if the client used the legacy top-level
`images` field on `/v1/chat/completions` — frank-secondary answered "Brown." for
`images` field on `/v1/chat/completions` — frank-zealot answered "Brown." for
a solid-red PNG that way and "Red." through the OpenAI `image_url` part. The
failure is silent because a hallucinated color is a plausible answer. Probe
vision with a solid color and expect an exact word.
- **`--jinja` is what `tools` needs.** On 2026-09-16 a subagent died with
`500 tools param requires --jinja flag`, from the ik_llama.cpp runtime that
then served frank-large: every tool-using agent on that endpoint was broken
then served frank-dragoon: every tool-using agent on that endpoint was broken
and the failure read like a model fault. Mainline llama.cpp 0.4.1 defaults
`--jinja` on and the serve script pins it; halogen also accepts `tools` and
returns `tool_calls`. Check tool support before routing a role at an endpoint.
- **Quantized KV on CUDA needs `GGML_CUDA_FA_ALL_QUANTS=ON`** — the same
option and the same ~12x prefill collapse described in the ROCm note above.
f16 KV needs nothing; frank-secondary ran f16 for that reason until
f16 KV needs nothing; frank-zealot ran f16 for that reason until
2026-09-17, when `build-cuda` was rebuilt with the option ON so the
endpoint could take q8_0 KV.
- **llama-bench separates a LIST with `/` and SWEEP values with `,`.** Both
@@ -947,7 +980,7 @@ linked runbooks.
raises on anything else — HTTP 500, not a clamp — so the harness's levels
must be folded onto that set in `models.yml` (`compat.reasoningEffortMap`).
A role whose level is unmapped fails on its FIRST request, and the failure
names Jinja, not the model: every subagent on `frank-secondary` died with
names Jinja, not the model: every subagent on `frank-zealot` died with
`Unexpected reasoning effort high` until `high: xhigh` was added on
2026-09-16. Halogen accepts the wider set, so the two entries legitimately
differ.
@@ -967,7 +1000,7 @@ linked runbooks.
times (`RuntimeError: No HIP GPUs are available`).
- SearXNG outbound traffic must stay on the Gluetun tunnel; do not move its
ports off the gluetun service.
- `amd_iommu=off` on Dankclaw (bought 13–16 % prefill for frank-large,
- `amd_iommu=off` on Dankclaw (bought 13–16 % prefill for frank-dragoon,
2026-09-11) permanently retired the XDNA2 NPU: the driver's SVA/PASID bind
needs an enabled IOMMU (`/dev/accel/accel0` fails `err=-19`). Revert path
in `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md`.
@@ -1021,9 +1054,9 @@ Active:
| Service | Runbook |
|---------|---------|
| frank-large (flash-server 0.16.2, abliterated Swift1.5 v2 .hgn + MTP always-on, 2×200,192, vision ON, Dankclaw) | `serverAppConfigs-docs/LLM/frank-large-flash-server-v2-swift15.md` |
| frank-secondary (llama.cpp CUDA, Swift-1.5-27B Uncensored RCO IQ3_XXS-mtp, 2×114,688 draft-mtp q8_0 KV, Dankclaw) | `serverAppConfigs-docs/LLM/frank-secondary-llama-swift15-unc-iq3xxs-mtp-114688.md` |
| frank-primary (radiance StillDeadcode, Qwen3.8-Flash-Next-FP8 native, 2×R9700 TP=2, Dankserver) | `serverAppConfigs-docs/LLM/frank-primary-radiance-qwen38-native-fp8.md` |
| 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, Swift1.5-Qwen3.8-Flash-Next GPTQ w4 + bf16-protected experts, int8 trunk, bf16 KV, 2×R9700 TP=2, Dankserver) | `serverAppConfigs-docs/LLM/frank-archon-radiance-swift15-w4dn8.md` |
| Dankclaw kernel posture (`amd_iommu=off`) | `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md` |
| Deployment flow + incidents | `serverAppConfigs-docs/LLM/deployment.md` |
@@ -1031,40 +1064,42 @@ Retired (rollback targets and history):
| Runtime | Host | Window | Runbook |
|---------|------|--------|---------|
| halogen 0.1.4 Qwen3.8-27B p1w4d-d2 + DFlash2 (`frank-large`) | Dankclaw | 2026-10-05 → 10-06 (rollback target — payload + fetch script + image digest on disk; owns the prompt-cache pin and FA-tile lessons) | `frank-large-halogen27b-dflash2.md` |
| ROCmFPX llama.cpp fork Qwen3.8-27B Uncensored Q6_0_ROCMFPX_AGENT + MTP (`frank-large`) | Dankclaw | 2026-10-03 → 10-05 (rollback target, payload + fork build on disk) | `frank-large-rocmfpx-q6agent-uncensored-mtp.md` |
| tcclaviger vLLM fork Qwen3.8-Flash-Next-Uncensored FP8, TP=2, shape G (`frank-primary`) | Dankserver | 2026-09-29 → 10-05 (rollback target — tag `frank-primary-vllm-shapeG-20261003`; trio + env lore in the tag, image in rootless storage) | `dankserver-qwen38-fp8-expert-offload-tuning.md` |
| FreeToken PR #587 ROCm, Qwen3.8-Flash-Next-Uncensored-FP8, ONE R9700 (`frank-primary`) | Dankserver | 2026-10-05 → 10-05 (rollback target — tag `frank-primary-freetoken-pr587-20261005`; trio + Dockerfile in the tag, image `localhost/frank-primary-freetoken:pr587-77a7201` and orcarouter payload on disk) | `frank-primary-freetoken-pr587.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K 2×200,704 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-03 → 10-05 (rollback target — payload on disk; owns the ubatch-2048 A/B; the Ornith swap of 10-05 was committed but never deployed, so this was the LIVE payload Swift replaced) | `frank-secondary-llama-mimo-q6k-2x200704.md` |
| llama.cpp Ornith-1.5-9B Q8_0, ONE 262,144 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-05 (committed 77decb5→380aafa, never deployed — superseded by Swift the same evening; payload on disk) | trail in `frank-secondary-llama-swift15-unc-iq3xxs-mtp-114688.md` |
| ROCmFPX llama.cpp fork Qwen3.8-27B Q8_0_ROCMFPX_AGENT + MTP (`frank-large`) | Dankclaw | 2026-10-02 → 10-03 (rollback target, payload on disk) | `frank-large-rocmfpx-q8agent-mtp.md` |
| gufo v0.1.1 Qwen3.8-27B UD-Q8_K_XL/UD-Q4_K_XL + DFlash2 (`frank-large`) | Dankclaw | 2026-09-28 → 10-01, again 10-01 → 10-02 (payloads removed from disk 2026-10-03; rollback = re-download) | `frank-large-gufo-qwen38-27b.md` |
| vLLM TheRock MiMo-V2.6-Distill-Qwen-9B BF16 + cross-model MTP (`frank-large`) | Dankclaw | 2026-10-01 (same-day rollback to gufo) | `frank-large-vllm-mimo-v26-bf16.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K (`frank-secondary`) | Dankclaw | 2026-10-01 → 10-02 (the rung returned ACTIVE 2026-10-03 at the 2×200,704 shape — `frank-secondary-llama-mimo-q6k-2x200704.md`) | `frank-secondary-llama-mimo-q6k.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q5_K_M 2×200,704 f16 KV (`frank-secondary`) | Dankclaw | 2026-10-02 → 10-03 (rollback target — one `MODEL_FILE` line, buys back 875 MiB + the −10 % rung tax; owns the boot-pair table) | `frank-secondary-llama-mimo-q5km.md` |
| SGLang MiMo-V2.6 INT8-W8A16-AutoRound (`frank-secondary`) | Dankclaw | 2026-10-01 (same-day swap to the GGUF path) | `frank-secondary-sglang-mimo-v26.md` |
|tcclaviger vLLM GLM-5.3-Flash W4A16 int4, +/- DFlash2 drafter (`frank-primary`)|Dankserver|2026-09-30 → 10-01|`frank-primary-glm53-flash-w4a16.md`|
| llama.cpp b11030 Qwen3.8-27B UD-Q8_K_XL + DFlash2 (`frank-large`) | Dankclaw | 2026-09-21 → 09-28 | `frank-large-unsloth-qwen38-27b-q8xl.md` |
| R9V radiance-vLLM Qwen3.8-Flash-Next-Uncensored IQ4_XS (`frank-primary`) | Dankserver | 2026-09-27 (same-day swap to Q8_0) | `frank-primary-r9v-radiance-qwen38-uncensored.md` |
| llama.cpp b11030 Qwen3.8-Flash-Next Q8_0 + shared MTP (`frank-primary`) | Dankserver | 2026-09-26 → 09-27 | `frank-primary-llamacpp-qwen38-flash-next-q8.md` |
| ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M (`frank-large`) | Dankclaw | 2026-09-15 → 09-16 | `frank-large-ik-uncensored.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` |
| radiance StillDeadcode Qwen3.8-Flash-Next native-FP8, 2×R9700 TP=2 (`frank-archon`) | Dankserver | 2026-10-08 → w4dn8 swap (rollback target — `.rad` payload on disk) | `frank-archon-radiance-qwen38-native-fp8.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` |
| FreeToken PR #587 ROCm, Qwen3.8-Flash-Next-Uncensored-FP8, ONE R9700 (`frank-archon`) | Dankserver | 2026-10-05 → 10-05 (rollback target — tag `frank-archon-freetoken-pr587-20261005`; trio + Dockerfile in the tag, image `localhost/frank-archon-freetoken:pr587-77a7201` and orcarouter payload on disk) | `frank-archon-freetoken-pr587.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K 2×200,704 f16 KV (`frank-zealot`) | Dankclaw | 2026-10-03 → 10-05 (rollback target — payload on disk; owns the ubatch-2048 A/B; the Ornith swap of 10-05 was committed but never deployed, so this was the LIVE payload Swift replaced) | `frank-zealot-llama-mimo-q6k-2x200704.md` |
| llama.cpp Ornith-1.5-9B Q8_0, ONE 262,144 f16 KV (`frank-zealot`) | Dankclaw | 2026-10-05 (committed 77decb5→380aafa, never deployed — superseded by Swift the same evening; payload on disk) | trail in `frank-zealot-llama-swift15-unc-iq3xxs-mtp-114688.md` |
| llama.cpp CUDA Swift-1.5-27B Uncensored RCO IQ3_XXS-mtp, 2×114,688 draft-mtp q8_0 KV (`frank-zealot`) | Dankclaw | 2026-10-06 → 2026-10-07 (rollback target — payload on disk; owns the 3090 ubatch ladder A/B and the 34 KiB/token qwen35 KV law) | `frank-zealot-llama-swift15-unc-iq3xxs-mtp-114688.md` |
| ROCmFPX llama.cpp fork Qwen3.8-27B Q8_0_ROCMFPX_AGENT + MTP (`frank-dragoon`) | Dankclaw | 2026-10-02 → 10-03 (rollback target, payload on disk) | `frank-dragoon-rocmfpx-q8agent-mtp.md` |
| gufo v0.1.1 Qwen3.8-27B UD-Q8_K_XL/UD-Q4_K_XL + DFlash2 (`frank-dragoon`) | Dankclaw | 2026-09-28 → 10-01, again 10-01 → 10-02 (payloads removed from disk 2026-10-03; rollback = re-download) | `frank-dragoon-gufo-qwen38-27b.md` |
| vLLM TheRock MiMo-V2.6-Distill-Qwen-9B BF16 + cross-model MTP (`frank-dragoon`) | Dankclaw | 2026-10-01 (same-day rollback to gufo) | `frank-dragoon-vllm-mimo-v26-bf16.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q6_K (`frank-zealot`) | Dankclaw | 2026-10-01 → 10-02 (the rung returned ACTIVE 2026-10-03 at the 2×200,704 shape — `frank-zealot-llama-mimo-q6k-2x200704.md`) | `frank-zealot-llama-mimo-q6k.md` |
| llama.cpp master MiMo-V2.6-Distill-Qwen-9B Q5_K_M 2×200,704 f16 KV (`frank-zealot`) | Dankclaw | 2026-10-02 → 10-03 (rollback target — one `MODEL_FILE` line, buys back 875 MiB + the −10 % rung tax; owns the boot-pair table) | `frank-zealot-llama-mimo-q5km.md` |
| SGLang MiMo-V2.6 INT8-W8A16-AutoRound (`frank-zealot`) | Dankclaw | 2026-10-01 (same-day swap to the GGUF path) | `frank-zealot-sglang-mimo-v26.md` |
|tcclaviger vLLM GLM-5.3-Flash W4A16 int4, +/- DFlash2 drafter (`frank-archon`)|Dankserver|2026-09-30 → 10-01|`frank-archon-glm53-flash-w4a16.md`|
| llama.cpp b11030 Qwen3.8-27B UD-Q8_K_XL + DFlash2 (`frank-dragoon`) | Dankclaw | 2026-09-21 → 09-28 | `frank-dragoon-unsloth-qwen38-27b-q8xl.md` |
| R9V radiance-vLLM Qwen3.8-Flash-Next-Uncensored IQ4_XS (`frank-archon`) | Dankserver | 2026-09-27 (same-day swap to Q8_0) | `frank-archon-r9v-radiance-qwen38-uncensored.md` |
| llama.cpp b11030 Qwen3.8-Flash-Next Q8_0 + shared MTP (`frank-archon`) | Dankserver | 2026-09-26 → 09-27 | `frank-archon-llamacpp-qwen38-flash-next-q8.md` |
| ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M (`frank-dragoon`) | Dankclaw | 2026-09-15 → 09-16 | `frank-dragoon-ik-uncensored.md` |
| vllm-radiance TP=2 MXFP4 + DFlash2 (`frank-medium`) | Dankserver | 2026-09-20 → 09-26 | `frank-medium-radiance-mxfp4.md` |
| Lucebox DS4.1 DeepSeek-V4.1-Flash ROCmFP23 (`frank-primary`) | Dankserver | 2026-09-26 (same-day swap) | `frank-primary-lucebox-ds4.md` |
| Lucebox DS4.1 DeepSeek-V4.1-Flash ROCmFP23 (`frank-archon`) | Dankserver | 2026-09-26 (same-day swap) | `frank-archon-lucebox-ds4.md` |
| kingjones STRIX Qwen3.8-Flash-Next ROCmFP4 | Dankclaw | 2026-08-30 → 09-11 | `kingjones-strix-rocmfp4.md` |
| halogen-flash-server Qwen3.8-Flash-Next w4b (`frank-large`) | Dankclaw | 2026-09-16 → 09-19 | `halogen-flash-server.md` |
| CIRU v4.4.1 Orca Qwen3.8-Flash (`frank-large`) | Dankclaw | 2026-09-19 → 09-21 | `frank-large-ciru-orca.md` |
| unsloth llama.cpp b11030 Qwen3.8-Flash-Next UD-IQ4_XS (`frank-large`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-large-unsloth-qwen38-flash-next.md` |
| Kairic Edge Qwen3.8-27B IU4 W4A4 (`frank-large`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-large-kairic-edge-qwen38-27b.md` |
| ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S (`frank-secondary`) | Dankclaw | 2026-09-16 → 09-17 | `frank-secondary-qwen38-gsq-rco.md` |
| vLLM Gemma4-12B w4a16 (`frank-secondary`) | Dankclaw | 2026-09-19 (same-day revert) | `frank-secondary-vllm-gemma4.md` |
| llama.cpp Gemma4-12B QAT Q4_K_M (`frank-secondary`) | Dankclaw | 2026-09-17 → 10-01 | `frank-secondary-gemma4-12b.md` |
| halogen-flash-server Qwen3.8-Flash-Next w4b (`frank-dragoon`) | Dankclaw | 2026-09-16 → 09-19 | `halogen-flash-server.md` |
| CIRU v4.4.1 Orca Qwen3.8-Flash (`frank-dragoon`) | Dankclaw | 2026-09-19 → 09-21 | `frank-dragoon-ciru-orca.md` |
| unsloth llama.cpp b11030 Qwen3.8-Flash-Next UD-IQ4_XS (`frank-dragoon`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-dragoon-unsloth-qwen38-flash-next.md` |
| Kairic Edge Qwen3.8-27B IU4 W4A4 (`frank-dragoon`) | Dankclaw | 2026-09-21 (same-day swap) | `frank-dragoon-kairic-edge-qwen38-27b.md` |
| ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S (`frank-zealot`) | Dankclaw | 2026-09-16 → 09-17 | `frank-zealot-qwen38-gsq-rco.md` |
| vLLM Gemma4-12B w4a16 (`frank-zealot`) | Dankclaw | 2026-09-19 (same-day revert) | `frank-zealot-vllm-gemma4.md` |
| llama.cpp Gemma4-12B QAT Q4_K_M (`frank-zealot`) | Dankclaw | 2026-09-17 → 10-01 | `frank-zealot-gemma4-12b.md` |
| agentionai ROCmFP4-FAST imatrix | Dankclaw | 2026-08-29 → 08-30 | `agentionai-fast-imatrix.md` |
| eemin Qwen3.8-27B ROCmI4 W4A4 MTP | Dankclaw | 2026-08-18 → 08-25 | `eemin-rocmi4-mtp.md` |
| Kairic Edge IU4 | Dankclaw | 2026-08-22 (same-day revert) | `kairic-edge.md` |
| CIRU ActiveFPX v3 / PromptForge | Dankclaw | through 2026-08-22 | `ciru-activefpx-promptforge.md` |
| DFlash2 Vulkan | Dankclaw | 2026-08-21 (same-day revert) | `dflash2-large-vulkan.md` |
| FastFlowLM NPU (`frank-npu`) | Dankclaw | twice, retired 2026-09-11 | `frank-npu.md`, `FastFlowLM NPU Inference.md` |
| FreeToken (official + Huihui FP8, `frank-secondary`) | Dankserver | 2026-09-02 → 09-15 | `freetoken-frank-small.md` |
| FreeToken (official + Huihui FP8, `frank-zealot`) | Dankserver | 2026-09-02 → 09-15 | `freetoken-frank-small.md` |
| FastMTP patched llama.cpp | Dankserver | retired 2026-08-18 | `qwen3.8-spec-matrix.md` |
| ik_llama.cpp Ornith CRACK | Dankserver | retired 2026-09-02 | `ikllama-ornith-dankserver.md` |
| llama.cpp layer split + DFlash2 (`frank-medium`) | Dankserver | 2026-09-16 → 09-20 | `frank-medium-llamacpp-dflash2.md` |
+2 -2
View File
@@ -13,7 +13,7 @@ one deploy script.
| Host | User | IP | Podman stack | LLM service | LLM port |
|------|------|----|--------------|-------------|----------|
| dankserver | dank | 192.168.0.235 | media and library | frank-medium (ROCmFPX llama.cpp, Qwen3.8-27B AGENT) | 7770 |
| dankclaw | dank | 192.168.0.143 | AI, search, development, observability | frank-large (gufo, Qwen3.8-27B UD-Q8_K_XL) | 7770 |
| dankclaw | dank | 192.168.0.143 | AI, search, development, observability | frank-dragoon (gufo, Qwen3.8-27B UD-Q8_K_XL) | 7770 |
## Active Services
@@ -30,7 +30,7 @@ one deploy script.
| Gitea | dankclaw | gitea.dankclaw.local | 3001 |
| Grafana | dankclaw | grafana.dankclaw.local | 3002 |
| Prometheus | dankclaw | prometheus.dankclaw.local | 9090 |
| frank-large | dankclaw | — (bare endpoint) | 7770 |
| frank-dragoon | dankclaw | — (bare endpoint) | 7770 |
## Structure
+9 -9
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@@ -1,26 +1,26 @@
#!/usr/bin/env bash
# autoresearch.sh — canonical frank-primary benchmark entry point (dev box).
# autoresearch.sh — canonical frank-archon benchmark entry point (dev box).
#
# The service runs on dankserver (192.168.0.235:7770), the two R9700s live
# there, and the benchmark must own those cards, so the whole stop -> boot
# scratch -> bench -> restore sequence runs ON dankserver (see
# scripts/autoresearch-frank-primary.sh). This wrapper:
# 1. copies the candidate config (the repo's scripts/frank-primary.env, the
# scripts/autoresearch-frank-archon.sh). This wrapper:
# 1. copies the candidate config (the repo's scripts/frank-archon.env, the
# file the autoresearch loop edits) and the bench script to dankserver,
# 2. runs the bench over ssh, relaying its stdout (the METRIC lines) and
# exit code back here verbatim.
# It deliberately does NOT push to origin: the scp dirties dankserver's
# working tree, and the loop's uncommitted candidate config must not be
# pushed. Only this file and scripts/autoresearch-frank-primary.sh are
# pushed. Only this file and scripts/autoresearch-frank-archon.sh are
# committed; the candidate env rides over ssh each run.
set -uo pipefail
DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REMOTE=dankserver
REMOTE_REPO=/home/dank/serverAppConfigs
scp -q "$DIR/scripts/frank-primary.env" \
"$REMOTE:$REMOTE_REPO/scripts/frank-primary.env" || { echo "scp env failed" >&2; exit 1; }
scp -q "$DIR/scripts/autoresearch-frank-primary.sh" \
"$REMOTE:$REMOTE_REPO/scripts/autoresearch-frank-primary.sh" || { echo "scp script failed" >&2; exit 1; }
scp -q "$DIR/scripts/frank-archon.env" \
"$REMOTE:$REMOTE_REPO/scripts/frank-archon.env" || { echo "scp env failed" >&2; exit 1; }
scp -q "$DIR/scripts/autoresearch-frank-archon.sh" \
"$REMOTE:$REMOTE_REPO/scripts/autoresearch-frank-archon.sh" || { echo "scp script failed" >&2; exit 1; }
ssh "$REMOTE" "bash $REMOTE_REPO/scripts/autoresearch-frank-primary.sh $REMOTE_REPO/scripts/frank-primary.env"
ssh "$REMOTE" "bash $REMOTE_REPO/scripts/autoresearch-frank-archon.sh $REMOTE_REPO/scripts/frank-archon.env"
+34 -28
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@@ -56,6 +56,21 @@
}
}
# ═══════════════════════════════════════════════════════════════
# Named snippet: the pre-auth guard chain. Anubis (:8923) challenges,
# the embedded Authentik outpost authenticates, and authenticated
# traffic returns to the http://:8017 listener's post-auth handlers.
# Every guarded vhost is `import guarded` — the chain is EDITED HERE,
# never inlined per site (rank 6: it used to be nine verbatim copies).
# Exemptions live in their own vhosts (auth. is the IdP itself; git
# smart-HTTP and self-authenticating services document their reason).
# ═══════════════════════════════════════════════════════════════
(guarded) {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
}
# --- Bare-IP access (health checks, convenience) ---
:80 {
redir https://www.franksdank.cloud/ 308
@@ -72,9 +87,7 @@ franksdank.cloud {
}
www.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Legacy name: the old homepage name redirects straight onto www ---
@@ -100,9 +113,7 @@ auth.franksdank.cloud {
# --- SearXNG (quadlet; behind the Gluetun tunnel, published 8081) ---
search.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- OpenWebUI (quadlet on slirp4netns; published 3005) ---
@@ -126,30 +137,22 @@ gitea.franksdank.cloud {
# never reach Grafana — RP mode needs none and works regardless of topology.
# The basicauth edge this replaces (CADDY_BASICAUTH_HASH) is retired.
grafana.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Prometheus ---
prometheus.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Loki (guarded: Anubis → Authentik; loki-proxy provider, internal_host caddy:8017) ---
loki.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Seerr (guarded: Anubis → Authentik; seerr provider, internal_host caddy:8017) ---
seerr.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Marreta (guarded: Anubis → Authentik; marreta provider, internal_host caddy:8017) ---
@@ -157,9 +160,7 @@ seerr.franksdank.cloud {
# group gate). Egress rides the searxng gluetun tunnel; reached via the
# host-published port 8082 (gluetun netns), not by container name.
marreta.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Pi-hole (quadlet on slirp4netns; published 8083) ---
@@ -233,16 +234,12 @@ books.franksdank.cloud {
# --- RomM ---
romm.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Copyparty ---
files.franksdank.cloud {
reverse_proxy anubis:8923 {
header_up X-Real-Ip {remote_host}
}
import guarded
}
# --- Jellyfin ---
@@ -337,7 +334,16 @@ http://:8017 {
try_files /docs.html
file_server
}
@data path /services.json /status.json /app.js /style.css /deployed.js
# /whoami echoes the outpost-injected identity headers so the page
# can gate the admin button client-side (the /admin* 403 above stays
# the real gate; this only decides what is shown). The outpost strips
# client-supplied X-Authentik-* before injecting, so this is spoof-proof.
handle /whoami {
templates
header Content-Type application/json
respond "{\"user\":\"{header.X-Authentik-Username}\",\"groups\":\"{header.X-Authentik-Groups}\"}"
}
@data path /services.json /status.json /app.js /style.css /deployed.js /img/* /sfx/*
handle @data {
file_server
}
+6 -6
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@@ -10,15 +10,15 @@ model:
provider: dankclaw-large
base_url: http://192.168.0.143:7770/v1
api_key: not-needed
default: frank-large
default: frank-dragoon
providers:
dankclaw-large:
api: http://192.168.0.143:7770/v1
discover_models: false
models:
frank-large:
context_length: 114688
frank-dragoon:
context_length: 262144
dankserver-small:
api: http://192.168.0.235:7770/v1
discover_models: false
@@ -29,7 +29,7 @@ providers:
# Auxiliary routing from the live configuration. Named providers route via
# their `api:` URL; `custom` entries route by their explicit `base_url`.
auxiliary:
vision: {provider: dankclaw-large, model: frank-large}
vision: {provider: dankclaw-large, model: frank-dragoon}
web_extract: {provider: dankserver-small, model: frank-medium}
compression: {provider: dankserver-small, model: frank-medium}
skills_hub: {provider: dankserver-small, model: frank-medium}
@@ -50,8 +50,8 @@ auxiliary:
effort: none
memory_query_rewrite: {provider: custom, model: frank-medium, base_url: http://192.168.0.235:7770/v1}
tts_audio_tags: {provider: custom, model: frank-medium, base_url: http://192.168.0.235:7770/v1}
triage_specifier: {provider: dankclaw-large, model: frank-large}
kanban_decomposer: {provider: dankclaw-large, model: frank-large}
triage_specifier: {provider: dankclaw-large, model: frank-dragoon}
kanban_decomposer: {provider: dankclaw-large, model: frank-dragoon}
profile_describer: {provider: dankserver-small, model: frank-medium}
curator: {provider: dankserver-small, model: frank-medium}
@@ -1,30 +1,32 @@
# Quadlet unit: node-exporter (rootless, boot-persistent).
# Quadlet unit: node-exporter (rootless, boot-persistent) — RENDERED ARTIFACT.
# Regenerate: python3 scripts/service-map.py render node-exporter-unit --host dankclaw
# Source: shared/services.yml (entry node-exporter) + this template.
#
# Install path on dankclaw: ~/.config/containers/systemd/node-exporter.container
# Unit name: node-exporter.service (container name: node-exporter)
#
# Host metrics source for Prometheus. This replaces the compose service of the
# same name in dankclaw/compose.yaml ("Observability" block).
# Host metrics source for Prometheus. Replaces the compose service of the same
# name (the "Observability" block): Dankclaw moved to this quadlet on
# 2026-09-11, Dankserver on 2026-09-16 — its compose-only copy died at a reboot
# and stayed dead (rootless Podman does not restart bare containers after the
# explicit stop shutdown performs), dead for a day and a half before anyone
# noticed. One owner per container name; no compose file remains anywhere.
#
# HOST NAMESPACE. It must run in the host network namespace to report the
# host's own interfaces/connections, and --pid=host for the processes and
# cgroups collectors. "localhost" inside the container is therefore the host's
# loopback, which is what the homepage status timer probes.
#
# LISTEN ADDRESSES. Until 2026-09-11 this bound :9100 on every interface. It
# now binds exactly two: loopback for the homepage status probe, and the LAN
# address because Prometheus — which runs in a container on dankclaw_default —
# scrapes http://192.168.0.143:9100 (shared/prometheus/prometheus.yml,
# job "node-dankclaw"). node_exporter itself has no authentication, so keeping
# the wildcard bind off the table matters: this is the second half of the
# pairing that removes the unauthenticated observability surface, and both
# consumers are accounted for. Dankserver runs its own copy of this container
# (scraped by the "node-dankserver" job) — since 2026-09-16 as a Quadlet unit in
# the same shape (dankserver/observability/quadlet/), because the compose-only
# version it replaced had been dead for a day and a half before anyone noticed.
# LISTEN ADDRESSES. Exactly two: loopback for the homepage status probe, and
# the LAN address, because Prometheus — which runs in a container on
# dankclaw_default — scrapes http://192.168.0.143:9100/metrics
# (shared/prometheus/prometheus.yml, job "node-dankclaw"). node_exporter has no
# authentication, so the wildcard bind stays off the table; this is the
# pairing that removes the unauthenticated observability surface on every
# host, and both consumers are accounted for.
#
# MOUNTS. The container reads the host's /proc, /sys and / as /host/* read-only
# and is pointed at them with --path.*; it writes nothing anywhere.
# MOUNTS. The container reads the host's /proc, /sys and / as /host/*
# read-only and is pointed at them with --path.*; it writes nothing anywhere.
[Unit]
Description=Prometheus node exporter (Dankclaw host metrics)
+30 -34
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@@ -1,47 +1,43 @@
# A records for the flat franksdank.name scheme (dnsmasq addn-hosts format:
# <IP> <name> [<name> ...]). Served by the Pi-hole quadlet (FTL is a
# dnsmasq fork): the quadlet mounts this file into /etc/pihole/hosts/ read-only.
# A records for the flat franksdank.cloud scheme (dnsmasq addn-hosts
# format: <IP> <name>). RENDERED — do not edit by hand:
#
# Caddy is consolidated on dankclaw (192.168.0.143): it fronts every service
# on both hosts, so every name resolves to that one IP. Keep in sync with the
# Caddyfile (tests/pihole.bats cross-checks this).
# scripts/service-map.py render pihole-hosts > dankclaw/pihole/addn-hosts
#
# 192.168.0.143 = dankclaw (runs the Caddy container + the AI/dev stack)
# 192.168.0.235 = dankserver (media stack; reached by Caddy via published
# LAN ports — no DNS records point here)
# The source of truth is the `dns:` field of shared/services.yml; the
# drift gate in tests/service_inventory.bats fails when this file and
# the inventory disagree. Caddy is consolidated on Dankclaw, so every
# name — including the services running on dankserver and
# frankbook-pro — resolves at the Dankclaw edge.
#
# dnsmasq strips ONLY whole-line comments in addn-hosts: a trailing
# comment on a data line becomes a HOSTNAME token. No inline notes
# here; the service attribution lives in the inventory.
# --- Homepage (naked domain + www) + legacy names ---
192.168.0.143 search.franksdank.cloud
192.168.0.143 marreta.franksdank.cloud
192.168.0.143 pihole.franksdank.cloud
192.168.0.143 ai.franksdank.cloud
192.168.0.143 gitea.franksdank.cloud
192.168.0.143 comfyui.franksdank.cloud
192.168.0.143 seerr.franksdank.cloud
192.168.0.143 hermes.franksdank.cloud
192.168.0.143 hermesadmin.franksdank.cloud
192.168.0.143 prometheus.franksdank.cloud
192.168.0.143 grafana.franksdank.cloud
192.168.0.143 loki.franksdank.cloud
192.168.0.143 auth.franksdank.cloud
192.168.0.143 franksdank.cloud
192.168.0.143 www.franksdank.cloud
192.168.0.143 dankclaw.franksdank.cloud
192.168.0.143 dankserver.franksdank.cloud
# --- Authentik (SSO / OIDC provider) ---
192.168.0.143 auth.franksdank.cloud
# --- Media services (dankserver, proxied) ---
192.168.0.143 plex.franksdank.cloud
192.168.0.143 plex.franksdank.casa
192.168.0.143 books.franksdank.cloud
192.168.0.143 romm.franksdank.cloud
192.168.0.143 files.franksdank.cloud
192.168.0.143 jelly.franksdank.cloud
192.168.0.143 books.franksdank.cloud
192.168.0.143 plex.franksdank.cloud
192.168.0.143 plex.franksdank.casa
192.168.0.143 prowlarr.franksdank.cloud
192.168.0.143 qbittorrent.franksdank.cloud
192.168.0.143 radarr.franksdank.cloud
192.168.0.143 lidarr.franksdank.cloud
192.168.0.143 readarr.franksdank.cloud
192.168.0.143 prowlarr.franksdank.cloud
192.168.0.143 qbittorrent.franksdank.cloud
# --- AI / search / dev services (dankclaw, local) ---
192.168.0.143 search.franksdank.cloud
192.168.0.143 comfyui.franksdank.cloud
192.168.0.143 ai.franksdank.cloud
192.168.0.143 hermes.franksdank.cloud
192.168.0.143 hermesadmin.franksdank.cloud
192.168.0.143 gitea.franksdank.cloud
192.168.0.143 grafana.franksdank.cloud
192.168.0.143 prometheus.franksdank.cloud
192.168.0.143 loki.franksdank.cloud
192.168.0.143 pihole.franksdank.cloud
192.168.0.143 seerr.franksdank.cloud
192.168.0.143 marreta.franksdank.cloud
@@ -1,34 +1,32 @@
# Quadlet unit: node-exporter (rootless, boot-persistent) — DANKSERVER.
# Quadlet unit: node-exporter (rootless, boot-persistent) — RENDERED ARTIFACT.
# Regenerate: python3 scripts/service-map.py render node-exporter-unit --host dankserver
# Source: shared/services.yml (entry node-exporter) + this template.
#
# Install path on dankserver: ~/.config/containers/systemd/node-exporter.container
# Unit name: node-exporter.service (container name: node-exporter)
#
# WHY THIS FILE EXISTS. Until 2026-09-16 the Dankserver node-exporter ran only
# from `dankserver/compose.yaml` (the "Observability" block, `restart:
# unless-stopped`). Rootless Podman does not restart bare containers after the
# explicit stop that shutdown performs, so it died at a reboot and stayed dead:
# `podman ps -a` showed it `Exited (143)` and Prometheus' `node-dankserver` job
# had been scraping nothing since. The compose entry also bound the default
# wildcard address, which is the unauthenticated-metrics-API-on-every-interface
# posture that was already removed on Dankclaw. This unit replaces both: one
# owner per container name (the compose service is deleted), explicit listen
# addresses, and a generator-provided boot path.
# Host metrics source for Prometheus. Replaces the compose service of the same
# name (the "Observability" block): Dankclaw moved to this quadlet on
# 2026-09-11, Dankserver on 2026-09-16 — its compose-only copy died at a reboot
# and stayed dead (rootless Podman does not restart bare containers after the
# explicit stop shutdown performs), dead for a day and a half before anyone
# noticed. One owner per container name; no compose file remains anywhere.
#
# HOST NAMESPACE. Networking and PID in the host's namespaces: the collectors
# report the host's own interfaces, connections, processes and cgroups. The
# host's /proc, /sys and / are mounted read-only under /host and /rootfs, and
# node_exporter writes nothing.
# HOST NAMESPACE. It must run in the host network namespace to report the
# host's own interfaces/connections, and --pid=host for the processes and
# cgroups collectors. "localhost" inside the container is therefore the host's
# loopback, which is what the homepage status timer probes.
#
# LISTEN ADDRESSES. Exactly two:
# - 127.0.0.1:9100 for host-local probes
# - 192.168.0.235:9100 for Prometheus, which scrapes this host from Dankclaw
# (shared/prometheus/prometheus.yml, job "node-dankserver"). It cannot use
# loopback across hosts, and node_exporter has no authentication, so the
# wildcard bind stays off the table. This is the same deliberate LAN
# listener posture the observability runbook documents.
# LISTEN ADDRESSES. Exactly two: loopback for the homepage status probe, and
# the LAN address, because Prometheus — which runs in a container on
# dankclaw_default — scrapes http://192.168.0.235:9100/metrics
# (shared/prometheus/prometheus.yml, job "node-dankserver"). node_exporter has no
# authentication, so the wildcard bind stays off the table; this is the
# pairing that removes the unauthenticated observability surface on every
# host, and both consumers are accounted for.
#
# MIRROR. Keep this file in step with dankclaw/observability/quadlet/
# node-exporter.container; only the Description and the LAN address differ.
# MOUNTS. The container reads the host's /proc, /sys and / as /host/*
# read-only and is pointed at them with --path.*; it writes nothing anywhere.
[Unit]
Description=Prometheus node exporter (Dankserver host metrics)
+1 -1
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File diff suppressed because one or more lines are too long
@@ -1,9 +1,9 @@
#!/usr/bin/env bash
# download-frank-primary-fp8.sh — fetch/verify the Qwen3.8-Flash-Next-FP8
# download-frank-archon-fp8.sh — fetch/verify the Qwen3.8-Flash-Next-FP8
# payload (131 safetensors shards, 172.78 GiB total, plus aux files) for the
# vLLM frank-primary deployment on dankserver.
# vLLM frank-archon deployment on dankserver.
#
# bash scripts/download-frank-primary-fp8.sh [dest_dir]
# bash scripts/download-frank-archon-fp8.sh [dest_dir]
#
# The manifest (scripts/manifests/qwen3.8-flash-next-fp8.manifest) carries
# per-file sizes + LFS sha256s from the Hub; hf-fetch.sh is idempotent — an
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Download the z-lab Qwen3.5-9B-DFlash drafter for frank-large's DFlash
# Download the z-lab Qwen3.5-9B-DFlash drafter for frank-dragoon's DFlash
# speculative-decode arm (vLLM --speculative-config method=dflash). Public
# repo — no auth header on the command line.
#
@@ -10,7 +10,7 @@
# the draft for that target.
#
# Usage:
# scripts/download-frank-large-dflash.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-dragoon-dflash.sh [DEST_DIR] [--verify-only]
set -euo pipefail
REPO="z-lab/Qwen3.5-9B-DFlash"
@@ -1,14 +1,14 @@
#!/usr/bin/env bash
# Download the BF16 MiMo-V2.6-Distill-Qwen-9B payload for frank-large
# Download the BF16 MiMo-V2.6-Distill-Qwen-9B payload for frank-dragoon
# (vLLM/kyuz0 gfx1151, Strix Halo iGPU). Public repo — no auth header on the
# command line (a Bearer token in argv is world-readable via /proc).
#
# Per-file FRESH downloads, no resume: the house rule (see
# download-frank-secondary.sh); -f/--fail-with-body plus size+sha256 against the
# download-frank-zealot.sh); -f/--fail-with-body plus size+sha256 against the
# Hub LFS oid is what makes an access error fail instead of "succeeding".
#
# Usage:
# scripts/download-frank-large-mimo.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-dragoon-mimo.sh [DEST_DIR] [--verify-only]
#
# The verified set below is exactly what the 2026-10-01 bench window served:
# 17.53 GiB of BF16 weights (4 shards, 18,819,720,848 B total with the rest).
@@ -1,14 +1,14 @@
#!/usr/bin/env bash
# Download the source Qwen3.5-9B checkpoint — the ONLY place this model
# family's MTP head (15 mtp.* tensors) exists. frank-large runs it as the
# family's MTP head (15 mtp.* tensors) exists. frank-dragoon runs it as the
# vLLM cross-model MTP draft (MiMo-V2.6-Distill-Qwen-9B itself ships zero
# mtp tensors; that is why SGLang's NEXTN on frank-secondary draws 0.00
# mtp tensors; that is why SGLang's NEXTN on frank-zealot draws 0.00
# acceptance). Public repo — no auth header on the command line.
#
# NOTE the odd upstream shard names (model.safetensors-0000N-of-00004...).
#
# Usage:
# scripts/download-frank-large-qwen35.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-dragoon-qwen35.sh [DEST_DIR] [--verify-only]
set -euo pipefail
REPO="Qwen/Qwen3.5-9B"
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Download MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound for frank-secondary
# Download MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound for frank-zealot
# (SGLang, RTX 3090). Public repo — no auth header on the command line.
#
# Per-file FRESH downloads, no resume: `curl -C -` once produced a 213 MB
@@ -7,7 +7,7 @@
# the house rule.
#
# Usage:
# scripts/download-frank-secondary.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-zealot.sh [DEST_DIR] [--verify-only]
#
# LFS shards are verified against the Hub LFS sha256; non-LFS text files
# against their declared byte size. Idempotent: complete files are skipped.
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# bench-frank-large.sh — 64k-context benchmark for the frank-default-large stack.
# bench-frank-dragoon.sh — 64k-context benchmark for the frank-default-large stack.
#
# Measures generation throughput of Qwen3.6-27B Q8_K_P + DFlash + ngram-mod on
# a single backend at 64k context. It starts llama-server on a scratch port,
@@ -7,15 +7,15 @@
# prompt, and prints tokens/sec.
#
# Usage:
# ./scripts/bench-frank-large.sh <ROCm0|Vulkan0> [--generations N]
# ./scripts/bench-frank-dragoon.sh <ROCm0|Vulkan0> [--generations N]
#
# Example:
# ./scripts/bench-frank-large.sh ROCm0
# ./scripts/bench-frank-large.sh Vulkan0 --generations 3
# ./scripts/bench-frank-dragoon.sh ROCm0
# ./scripts/bench-frank-dragoon.sh Vulkan0 --generations 3
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
DEVICE="${1:?usage: bench-frank-large.sh <ROCm0|Vulkan0> [--generations N]}"
DEVICE="${1:?usage: bench-frank-dragoon.sh <ROCm0|Vulkan0> [--generations N]}"
GENERATIONS=1
if [ "${2:-}" = "--generations" ]; then
GENERATIONS="${3:?--generations needs a count}"
+1 -1
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@@ -41,7 +41,7 @@ SERVICE_HEALTH[dankclaw]="http://127.0.0.1:7770/health"
# Drop page caches before restart: with the model's pages fully cached, the
# KV/graph allocation stalls at load (VRAM stuck at 28 GiB). See AGENTS.md.
DROP_CACHES[dankclaw]=1
# Passwordless restart helper (root-owned, installed via /etc/sudoers.d/frank-large).
# Passwordless restart helper (root-owned, installed via /etc/sudoers.d/frank-dragoon).
# When present, deploy.sh uses it instead of inline sudo commands.
HELPER[dankclaw]="/usr/local/sbin/frank-restart-large.sh"
# Health wait in iterations of 2s. Cold loads after the cache drop measured
+2 -2
View File
@@ -1,6 +1,6 @@
# Tunables for the Ling-3.0-flash TRAIL on dankclaw (frank-large-ling).
# Tunables for the Ling-3.0-flash TRAIL on dankclaw (frank-dragoon-ling).
# This REPLACES frank-default-large (Qwen3.6-27B) temporarily. To switch
# back: systemctl stop frank-large-ling && systemctl start frank-default-large.
# back: systemctl stop frank-dragoon-ling && systemctl start frank-default-large.
# Runtime: llama.cpp FORK bailingmoe3-support; Vulkan + AMD GTT.
#
# Memory model (amdgpu Strix Halo gfx1151, 8x16GB LPDDR5 = 128 GiB physical):
@@ -1,5 +1,5 @@
[Unit]
Description=llama.cpp Ling-3.0-flash Q6_K Vulkan+MTP (frank-large-ling TRIAL)
Description=llama.cpp Ling-3.0-flash Q6_K Vulkan+MTP (frank-dragoon-ling TRIAL)
After=network.target
[Service]
+1 -1
View File
@@ -8,7 +8,7 @@
# Vulkan exposes as an ~111 GiB heap). MTP drafter is bundled in the same
# GGUF (block 42) - no separate --spec-draft-model needed.
#
# Tie-back: to restore the Qwen3.6-27B service, stop frank-large-ling and
# Tie-back: to restore the Qwen3.6-27B service, stop frank-dragoon-ling and
# start frank-default-large (its env/unit are committed and unchanged).
#
# Tunables come from frank-default-large.ling.env in this directory unless
@@ -4,11 +4,11 @@
# Runtime: llama.cpp llama-server (>= b10411).
#
# Tunables come from frank-default-large.env in this directory unless the
# FRANK_LARGE_ENV_FILE environment variable overrides that path.
# FRANK_DRAGOON_ENV_FILE environment variable overrides that path.
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-default-large.env}"
ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-default-large.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a
# shellcheck disable=SC1090
+1 -1
View File
File diff suppressed because one or more lines are too long
@@ -1,6 +1,6 @@
#!/usr/bin/env python3
"""
Decode throughput benchmark for frank-large.
Decode throughput benchmark for frank-dragoon.
Starts the server with a given --threads-batch value, sends an 8K+ token prompt,
generates 256 tokens, measures generation tok/s.
@@ -13,12 +13,12 @@ SERVE = "/home/dank/GitPackages/ROCmFPX/build-qwen38/bin/llama-server"
PORT = 7770
N_GEN = 256
PROMPT_FILE = "/tmp/bench-prompts/prompt_code.txt"
ENV_FILE = os.path.join(os.path.dirname(__file__), "frank-large.env")
ENV_FILE = os.path.join(os.path.dirname(__file__), "frank-dragoon.env")
SERVER_DIR = os.path.dirname(SERVE)
ROCM_PATH = "/opt/rocm"
def make_env():
"""Build the same env as serve-frank-large.sh."""
"""Build the same env as serve-frank-dragoon.sh."""
env = {**os.environ, "HSA_OVERRIDE_GFX_VERSION": "11.5.1", "HIP_VISIBLE_DEVICES": "0"}
# Source env file for tunables
@@ -59,7 +59,7 @@ def wait_ready():
def send_request(prompt, max_tokens=N_GEN):
"""Send chat completion, measure generation throughput."""
body = json.dumps({
"model": "frank-large",
"model": "frank-dragoon",
"messages": [{"role": "user", "content": prompt}],
"max_tokens": max_tokens,
"stream": False,
@@ -1,6 +1,6 @@
#!/usr/bin/env python3
"""
Benchmark n-gram speculative decoding vs no-spec for frank-large.
Benchmark n-gram speculative decoding vs no-spec for frank-dragoon.
Tests prompt-processing throughput with 16K token prompts (manageable request size).
Code-heavy prompt (high n-gram redundancy) vs prose prompt (low redundancy).
@@ -103,7 +103,7 @@ def start_server(port, spec_type):
def run_test(prompt_text, spec_type, port):
"""Send a request and extract prompt processing metrics."""
data = json.dumps({
"model": "frank-large",
"model": "frank-dragoon",
"messages": [{"role": "user", "content": prompt_text}],
"max_tokens": TEST_TOKENS,
"stream": False,
@@ -189,7 +189,7 @@ def main():
print(f" Prose: {prose_prompt_file.stat().st_size:,} bytes")
print("=" * 60)
print(" N-gram Mod Benchmark — frank-large")
print(" N-gram Mod Benchmark — frank-dragoon")
print(f" STRIX ROCmFP4 · 64K context · 16K prompts")
print("=" * 60)
@@ -1,19 +1,19 @@
#!/usr/bin/env bash
# Benchmark n-gram speculative decoding vs no-spec for frank-large.
# Benchmark n-gram speculative decoding vs no-spec for frank-dragoon.
#
# This tests prompt-processing throughput at 64k context with two distinct
# prompts: one code-heavy and one prose-heavy. Uses llama-server on scratch
# ports with the OpenAI-compatible API to measure prompt_eval_duration_ms.
#
# Run on Dankclaw after stopping the production service:
# sudo systemctl stop frank-large
# sudo systemctl stop frank-dragoon
# ./scripts/bench-ngram-mod.sh
# sudo systemctl start frank-large
# sudo systemctl start frank-dragoon
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a; source "$ENV_FILE"; set +a
fi
@@ -184,7 +184,7 @@ run_single_test() {
response=$(curl -s -X POST "http://127.0.0.1:$port/v1/completions" \
-H "Content-Type: application/json" \
-d "{
\"model\": \"frank-large\",
\"model\": \"frank-dragoon\",
\"prompt\": \"$prompt_text\",
\"max_tokens\": 128,
\"temperature\": 0,
@@ -220,7 +220,7 @@ run_single_test() {
}
echo "╔══════════════════════════════════════════════════════════╗"
echo "║ N-gram Mod Benchmark — frank-large ║"
echo "║ N-gram Mod Benchmark — frank-dragoon ║"
echo "║ STRIX ROCmFP4 · 64k context · two prompts ║"
echo "╚══════════════════════════════════════════════════════════╝"
echo ""
@@ -15,9 +15,9 @@ import time
import urllib.request
import urllib.error
SERVICE = "frank-large"
ENV_FILE = "/home/dank/serverAppConfigs/scripts/frank-large.env"
ALIAS = "frank-large"
SERVICE = "frank-dragoon"
ENV_FILE = "/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
ALIAS = "frank-dragoon"
DEFAULT_HOST = "localhost"
DEFAULT_PORT = 7770
DEFAULT_MAX_TOKENS = 16384
@@ -1,4 +1,4 @@
# Tunables for frank-large (mradermacher i1-Q4_K_M of
# Tunables for frank-dragoon (mradermacher i1-Q4_K_M of
# orcarouter/Qwen3.8-Flash-Next-Uncensored on ik_llama.cpp, Dankclaw,
# RTX 3090 CUDA + Strix Halo CPU path, since 2026-09-15).
#
@@ -65,7 +65,7 @@ MMPROJ_PATH=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K
CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
# Alias + network.
ALIAS=frank-large
ALIAS=frank-dragoon
BIND_ADDR=0.0.0.0
LISTEN_PORT=7770
@@ -1,5 +1,5 @@
[Unit]
Description=ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M 177B MoE (dankclaw, frank-large)
Description=ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M 177B MoE (dankclaw, frank-dragoon)
After=network-online.target
Wants=network-online.target
@@ -12,8 +12,8 @@ Group=dank
# budget still needs room. Parity with the halogen quadlet's
# Ulimit=memlock=-1:-1.
LimitMEMLOCK=infinity
Environment="FRANK_LARGE_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-large.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-large.sh
Environment="FRANK_DRAGOON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-dragoon.sh
Restart=on-failure
RestartSec=10
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Serve mradermacher/Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M as frank-large
# Serve mradermacher/Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M as frank-dragoon
# via ik_llama.cpp on Dankclaw.
#
# Topology (ikawrakow's hybrid recipe; upstream issue #2402 for the PLE):
@@ -26,7 +26,7 @@
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a
# shellcheck disable=SC1090
@@ -66,7 +66,7 @@ fi
# CPU-overridden weights mmapped (src/llama-load-tensors.cpp); the env file
# sets it. Refuse to run without it.
if [[ "${GGML_CUDA_NO_PINNED_WEIGHTS:-}" != "1" ]]; then
echo "frank-large: refusing to start — GGML_CUDA_NO_PINNED_WEIGHTS=1 is mandatory on this host" >&2
echo "frank-dragoon: refusing to start — GGML_CUDA_NO_PINNED_WEIGHTS=1 is mandatory on this host" >&2
exit 1
fi
@@ -112,7 +112,7 @@ fi
: "${SPEC_DRAFT_POLL_BATCH:=1}"
# Text only: the server must not try to autoload the vision tower. Vision
# stays on frank-large (Dankclaw), which is where the fleet routes images.
# stays on frank-dragoon (Dankclaw), which is where the fleet routes images.
NO_MMPROJ="${NO_MMPROJ:-1}"
export HIP_VISIBLE_DEVICES
+43
View File
@@ -0,0 +1,43 @@
#!/usr/bin/env bash
# apply-protected-cast.sh — RUNS ON DANKSERVER. Rewrite the recipe's
# PROTECTED-BEGIN/END section from Swift's OWN calibration grams: run
# derive-protected-experts.py over the calib dir, splice its cast lines into
# the marked section of the recipe in place, keep the pre-edit recipe in the
# campaign trash. Refuses to run twice (marker text says derived).
set -euo pipefail
CALIB=${1:-/home/dank/corpora/calib}
RECIPE=${2:-/home/dank/serverAppConfigs-swift15/scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe}
PY=/home/dank/venvs/radcorpus/bin/python
DERIVE=/home/dank/serverAppConfigs-swift15/scripts/derive-protected-experts.py
TS=$(date +%Y%m%d-%H%M%S)
grep -q "derive-protected-experts.py rewrote" "$RECIPE" && {
echo "recipe already carries derived cast lines; refusing to re-derive" >&2; exit 1; }
grep -q "PROTECTED-BEGIN" "$RECIPE" || { echo "no PROTECTED markers in $RECIPE" >&2; exit 1; }
"$PY" "$DERIVE" "$CALIB" > "/tmp/protected-cast-$TS.txt"
N=$(grep -c 'cast dtype=bf16' "/tmp/protected-cast-$TS.txt")
[ "$N" -ge 2 ] || { echo "derive produced $N cast lines; refusing" >&2; exit 1; }
echo "derived $N protected experts -> /tmp/protected-cast-$TS.txt"
cp -f "$RECIPE" "/home/dank/.AGENTTRASH/$TS-qwen4exp-swift15-w4dn8-i8-hc8m.recipe"
"$PY" - "$RECIPE" "/tmp/protected-cast-$TS.txt" <<'PYEOF'
import sys
recipe, castfile = sys.argv[1], sys.argv[2]
lines = open(recipe).read().splitlines()
cast = [l for l in open(castfile).read().splitlines() if 'cast dtype=bf16' in l]
out, insec = [], False
for l in lines:
if 'PROTECTED-BEGIN' in l:
insec = True
out.append(l)
out.extend(cast)
elif 'PROTECTED-END' in l:
insec = False
out.append(l)
out.append('# (derive-protected-experts.py rewrote this section from Swift\'s own grams)')
elif not insec:
out.append(l)
open(recipe, 'w').write('\n'.join(out) + '\n')
print(f'spliced {len(cast)} cast lines into {recipe}')
PYEOF
+2 -2
View File
@@ -1,5 +1,5 @@
#!/usr/bin/env python3
"""autoresearch-bench.py — deterministic greedy battery for frank-large.
"""autoresearch-bench.py — deterministic greedy battery for frank-dragoon.
Runs ON Dankclaw (no LAN jitter) against the candidate container on :7770.
Fixed embedded corpus, temperature 0, streaming so decode speed is measured
@@ -104,7 +104,7 @@ def stream_completion(url: str, model: str, prompt: str):
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--url", default="http://127.0.0.1:7770")
ap.add_argument("--model", default="frank-large")
ap.add_argument("--model", default="frank-dragoon")
args = ap.parse_args()
with urllib.request.urlopen(args.url.rstrip("/") + "/v1/models",
@@ -1,12 +1,12 @@
#!/usr/bin/env bash
# autoresearch-frank-primary.sh — RUNS ON DANKSERVER, driven over ssh by the
# dev-box autoresearch.sh. It is the canonical frank-primary benchmark entry
# autoresearch-frank-archon.sh — RUNS ON DANKSERVER, driven over ssh by the
# dev-box autoresearch.sh. It is the canonical frank-archon benchmark entry
# point for the autoresearch loop.
#
# Method (mandated by the Benchmarking Policy): the production service serves
# real users and shares the two R9700s, so a bench beside it starves the GPUs
# and corrupts results. This script therefore:
# 1. stops the production frank-primary unit (root, relink symlink: stop,
# 1. stops the production frank-archon unit (root, relink symlink: stop,
# NOT mask — mask refuses to replace a symlinked unit file),
# 2. boots a scratch radiance container named `arbench` on the SAME two
# cards with the candidate engine argv (the env file the loop edits),
@@ -18,7 +18,7 @@
# prefill and decode rates for that single request.
# 5. prints METRIC lines and tears the scratch down,
# 6. restores production (systemctl start), via a trap so a failed bench
# never leaves frank-primary down (the stale-probe-tail lesson).
# never leaves frank-archon down (the stale-probe-tail lesson).
#
# Determinism: the prompt is built from a fixed, sorted corpus of repo files
# with a fixed random seed, so prompt_n is stable across runs. Sampling is
@@ -32,10 +32,10 @@
# /dev/dri, the .rad ro, the state dir rw, the tune cache mount. The ONLY
# differences: the container name (arbench, so prod's identity is untouched)
# and a FRESH prefix-cache disk tier (arbench/, wiped per run) so the cold
# prefill is cold — the prod tier at kvcache/frank-primary is left intact.
# prefill is cold — the prod tier at kvcache/frank-archon is left intact.
set -uo pipefail
ENV_FILE="${1:-/home/dank/serverAppConfigs/scripts/frank-primary.env}"
ENV_FILE="${1:-/home/dank/serverAppConfigs/scripts/frank-archon.env}"
SCRATCH=arbench
PORT=7770
HEALTH="http://127.0.0.1:$PORT/health"
@@ -45,7 +45,7 @@ LOG=/home/dank/logs/arbench.log
restore() {
podman rm -f "$SCRATCH" >/dev/null 2>&1 || true
sudo systemctl start frank-primary >/dev/null 2>&1 || true
sudo systemctl start frank-archon >/dev/null 2>&1 || true
}
trap restore EXIT
@@ -57,13 +57,13 @@ fi
set -a; . "$ENV_FILE"; set +a
# --- stop production; the scratch needs both cards to itself ----------------
sudo systemctl stop frank-primary >/dev/null 2>&1 || true
sudo systemctl stop frank-archon >/dev/null 2>&1 || true
podman rm -f "$SCRATCH" >/dev/null 2>&1 || true
# --- fresh prefix-cache tier for a cold prefill (prod's tier untouched) ------
FRESH_KV="$FRANK_PRIMARY_STATE_DIR/kvcache/$SCRATCH"
FRESH_KV="$FRANK_ARCHON_STATE_DIR/kvcache/$SCRATCH"
rm -rf "$FRESH_KV"; mkdir -p "$FRESH_KV"
mkdir -p "$FRANK_PRIMARY_STATE_DIR/tune"
mkdir -p "$FRANK_ARCHON_STATE_DIR/tune"
# --- boot the scratch: the production run line, scratch name + fresh KV ------
podman run -d --name "$SCRATCH" \
@@ -72,30 +72,31 @@ podman run -d --name "$SCRATCH" \
--security-opt seccomp=unconfined \
--ulimit memlock=-1:-1 \
--device /dev/kfd --device /dev/dri \
-v "$FRANK_PRIMARY_MODEL_DIR":/models:ro \
-v "$FRANK_PRIMARY_STATE_DIR":/data \
-v "$FRANK_PRIMARY_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
-v "$FRANK_PRIMARY_TEMPLATE":/templates/template.jinja:ro \
"$FRANK_PRIMARY_IMAGE" \
--model "/models/$FRANK_PRIMARY_MODEL_FILE" \
-v "$FRANK_ARCHON_MODEL_DIR":/models:ro \
-v "$FRANK_ARCHON_STATE_DIR":/data \
-v "$FRANK_ARCHON_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
-v "$FRANK_ARCHON_TEMPLATE":/templates/template.jinja:ro \
"$FRANK_ARCHON_IMAGE" \
--model "/models/$FRANK_ARCHON_MODEL_FILE" \
--host :: --port "$PORT" \
--served-model-name "$FRANK_PRIMARY_SERVED_NAME" \
--served-model-name "$FRANK_ARCHON_SERVED_NAME" \
--override-chat-template /templates/template.jinja \
--tp "$FRANK_PRIMARY_TP" --tp-wire "$FRANK_PRIMARY_TP_WIRE" \
--max-num-seqs "$FRANK_PRIMARY_MAX_SEQS" \
--max-model-len "$FRANK_PRIMARY_MAX_MODEL_LEN" \
--placement "$FRANK_PRIMARY_PLACEMENT" \
--host-pool-mib "$FRANK_PRIMARY_HOST_POOL_MIB" \
--gpu-headroom-mib "$FRANK_PRIMARY_GPU_HEADROOM_MIB" \
--expert-vs-cache-ratio "$FRANK_PRIMARY_EXPERT_VS_CACHE" \
--kv-cache-dtype "$FRANK_PRIMARY_KV_DTYPE" \
--prefix-cache-host-mib "$FRANK_PRIMARY_PREFIX_HOST_MIB" \
--tp "$FRANK_ARCHON_TP" --tp-wire "$FRANK_ARCHON_TP_WIRE" \
--max-num-seqs "$FRANK_ARCHON_MAX_SEQS" \
--max-model-len "$FRANK_ARCHON_MAX_MODEL_LEN" \
--placement "$FRANK_ARCHON_PLACEMENT" \
--host-pool-mib "$FRANK_ARCHON_HOST_POOL_MIB" \
--gpu-headroom-mib "$FRANK_ARCHON_GPU_HEADROOM_MIB" \
--vram-weights-mib "$FRANK_ARCHON_VRAM_WEIGHTS_MIB" \
--vram-kv-mib "$FRANK_ARCHON_VRAM_KV_MIB" \
--kv-cache-dtype "$FRANK_ARCHON_KV_DTYPE" \
--prefix-cache-host-mib "$FRANK_ARCHON_PREFIX_HOST_MIB" \
--prefix-cache-dir "/data/kvcache/$SCRATCH" \
--prefix-cache-disk-mib "$FRANK_PRIMARY_PREFIX_DISK_MIB" \
--ngram-placement "$FRANK_PRIMARY_NGRAM_PLACEMENT" \
--num-speculative-tokens "$FRANK_PRIMARY_SPEC_TOKENS" \
--max-num-batched-tokens "$FRANK_PRIMARY_MAX_BATCHED_TOKENS" \
${FRANK_PRIMARY_EXTRA_ARGS:+$FRANK_PRIMARY_EXTRA_ARGS} \
--prefix-cache-disk-mib "$FRANK_ARCHON_PREFIX_DISK_MIB" \
--ngram-placement "$FRANK_ARCHON_NGRAM_PLACEMENT" \
--num-speculative-tokens "$FRANK_ARCHON_SPEC_TOKENS" \
--max-num-batched-tokens "$FRANK_ARCHON_MAX_BATCHED_TOKENS" \
${FRANK_ARCHON_EXTRA_ARGS:+$FRANK_ARCHON_EXTRA_ARGS} \
> "$LOG" 2>&1
if [ $? -ne 0 ]; then echo "scratch boot failed; see $LOG" >&2; exit 1; fi
@@ -145,7 +146,7 @@ while n < TGT:
n += len(seg) + 1
prompt = " ".join(parts)
json.dump(
{"model": "frank-primary", "prompt": prompt,
{"model": "frank-archon", "prompt": prompt,
"max_tokens": 256, "temperature": 0.0, "stream": False,
"stop": ["<|im_end|>"]},
open(sys.argv[1], "w"),
@@ -1,19 +1,19 @@
#!/usr/bin/env bash
# frank-primary-arms.sh — run a SEQUENCE of frank-primary bench arms and keep
# frank-archon-arms.sh — run a SEQUENCE of frank-archon bench arms and keep
# every arm's evidence. Runs on the operator box; each arm is one full window
# of ./autoresearch.sh (stop+mask -> boot the arm as the service -> measure ->
# restore production and verify), so the fleet is only ever down for one arm at
# a time and the production unit is back up between arms.
#
# An arm is the repo's own frank-primary.env plus an OVERLAY of engine knobs
# An arm is the repo's own frank-archon.env plus an OVERLAY of engine knobs
# appended after it (later assignment wins when the serve script sources it),
# staged through FRANK_PRIMARY_AR_ENV_FILE so the checkout is never mutated and
# staged through FRANK_ARCHON_AR_ENV_FILE so the checkout is never mutated and
# each arm gets its own fingerprint (the memo can never answer one arm with
# another arm's numbers).
#
# Usage: scripts/autoresearch/frank-primary-arms.sh [arm ...]
# scripts/autoresearch/frank-primary-arms.sh --list
# Output, under /tmp/frank-primary-arms-<UTC stamp>/ (override with ARMS_DIR):
# Usage: scripts/autoresearch/frank-archon-arms.sh [arm ...]
# scripts/autoresearch/frank-archon-arms.sh --list
# Output, under /tmp/frank-archon-arms-<UTC stamp>/ (override with ARMS_DIR):
#
# <arm>.out full autoresearch output (metrics + engine evidence)
# <arm>.env the exact staged env
@@ -26,8 +26,8 @@ set -uo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
REPO="$(cd -- "$SCRIPT_DIR/../.." && pwd)"
BASE_ENV="$REPO/scripts/frank-primary.env"
ARMS_DIR="${ARMS_DIR:-/tmp/frank-primary-arms-$(date -u +%Y%m%dT%H%M%SZ)}"
BASE_ENV="$REPO/scripts/frank-archon.env"
ARMS_DIR="${ARMS_DIR:-/tmp/frank-archon-arms-$(date -u +%Y%m%dT%H%M%SZ)}"
# --- arms ------------------------------------------------------------------
# baseline: the shipped shape E, measured with THIS harness so the comparison is
@@ -45,18 +45,18 @@ LADDER3='{"cudagraph_capture_sizes":[4,8,12],"max_cudagraph_capture_size":12,"in
# the engine as {temperature:0.7}.
GEN07='{"temperature":0.7}'
OVER_B=(
"FRANK_PRIMARY_SPEC='$SPEC3'"
"FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
"FRANK_ARCHON_SPEC='$SPEC3'"
"FRANK_ARCHON_COMPCONFIG='$LADDER3'"
'FRANK_ARCHON_GEN_CONFIG='"'$GEN07'"
)
# B2: identical to B with the default (7.60 GiB) overhead, i.e. precise memory
# OFF. It is the fallback if B dies at graph capture, and it prices the arena
# that precise memory buys (7,522 slots -> ~6,496).
OVER_B2=(
"FRANK_PRIMARY_SPEC='$SPEC3'"
"FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
'FRANK_PRIMARY_PRECISE_MEMORY='
"FRANK_ARCHON_SPEC='$SPEC3'"
"FRANK_ARCHON_COMPCONFIG='$LADDER3'"
'FRANK_ARCHON_GEN_CONFIG='"'$GEN07'"
'FRANK_ARCHON_PRECISE_MEMORY='
)
# C: the vendor's concurrency shape — SEQS 16 with the [4..32] ladder and util
# 0.95. This is also the direct test of the theory that pinning the capture
@@ -64,12 +64,12 @@ OVER_B2=(
# the constant 3, which is NOT in the default ladder; 4 is).
LADDER16='{"cudagraph_capture_sizes":[4,8,12,16,20,24,28,32],"max_cudagraph_capture_size":32,"inductor_compile_config":{"combo_kernels":false,"benchmark_combo_kernel":false}}'
OVER_C=(
"FRANK_PRIMARY_SPEC='$SPEC3'"
"FRANK_PRIMARY_COMPCONFIG='$LADDER16'"
'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
'FRANK_PRIMARY_SEQS=16'
'FRANK_PRIMARY_MNBT=4096'
'FRANK_PRIMARY_UTIL=0.95'
"FRANK_ARCHON_SPEC='$SPEC3'"
"FRANK_ARCHON_COMPCONFIG='$LADDER16'"
'FRANK_ARCHON_GEN_CONFIG='"'$GEN07'"
'FRANK_ARCHON_SEQS=16'
'FRANK_ARCHON_MNBT=4096'
'FRANK_ARCHON_UTIL=0.95'
)
# D/E: the CONTEXT arms. Measured 2026-10-02 (arms run 20261002T233855Z): the
@@ -83,11 +83,11 @@ OVER_C=(
# D is arm B with EXACTLY ONE variable changed (the KV bytes), so its result
# says whether the 4k-depth collapse (B 23.09 vs baseline 33.99) was KV or the
# batch shape.
KV401K='FRANK_PRIMARY_KV_BYTES=4050000000'
KV401K='FRANK_ARCHON_KV_BYTES=4050000000'
OVER_D=(
"FRANK_PRIMARY_SPEC='$SPEC3'"
"FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
"FRANK_ARCHON_SPEC='$SPEC3'"
"FRANK_ARCHON_COMPCONFIG='$LADDER3'"
'FRANK_ARCHON_GEN_CONFIG='"'$GEN07'"
"$KV401K"
)
# E: D with C's max_num_batched_tokens (4096 — C is the only arm that did NOT
@@ -97,12 +97,12 @@ OVER_D=(
# only 0.32 GiB above the allowance while the CUDA-graph cost is an ANALYTIC
# estimate (C's was 1.47 GiB over 24 graphs), so it is measured, not assumed.
OVER_E=(
"FRANK_PRIMARY_SPEC='$SPEC3'"
"FRANK_PRIMARY_COMPCONFIG='$LADDER3'"
'FRANK_PRIMARY_GEN_CONFIG='"'$GEN07'"
"FRANK_ARCHON_SPEC='$SPEC3'"
"FRANK_ARCHON_COMPCONFIG='$LADDER3'"
'FRANK_ARCHON_GEN_CONFIG='"'$GEN07'"
"$KV401K"
'FRANK_PRIMARY_MNBT=4096'
'FRANK_PRIMARY_UTIL=0.99'
'FRANK_ARCHON_MNBT=4096'
'FRANK_ARCHON_UTIL=0.99'
)
arm_overlay() {
@@ -142,7 +142,7 @@ for arm in "${ARMS[@]}"; do
# holds JSON must still be one valid JSON object after the file is SOURCED
# (that is the step that silently eats unquoted braces).
if ! bash -c 'set -a; . "$1" >/dev/null; set +a
for k in FRANK_PRIMARY_SPEC FRANK_PRIMARY_COMPCONFIG FRANK_PRIMARY_GEN_CONFIG; do
for k in FRANK_ARCHON_SPEC FRANK_ARCHON_COMPCONFIG FRANK_ARCHON_GEN_CONFIG; do
v="${!k:-}"
[ -n "$v" ] || continue
case "$v" in
@@ -158,7 +158,7 @@ for arm in "${ARMS[@]}"; do
fi
echo "[arms] === $arm: opening window $(date -u +%H:%M:%S)Z ===" >&2
FRANK_PRIMARY_AR_ENV_FILE="$ARMS_DIR/$arm.env" \
FRANK_ARCHON_AR_ENV_FILE="$ARMS_DIR/$arm.env" \
"$REPO/autoresearch.sh" >"$ARMS_DIR/$arm.out" 2>&1
rc=$?
echo "$rc" >"$ARMS_DIR/$arm.rc"
@@ -1,5 +1,5 @@
#!/usr/bin/env python3
"""frank-primary decode measurement — runs INSIDE the engine container.
"""frank-archon decode measurement — runs INSIDE the engine container.
The method is the fleet's established one (the 2026-09-29 / 2026-10-01
tuning campaigns, /home/dank/mtp_measure.py): SSE chunk counting is invalid
@@ -28,7 +28,7 @@ Workload (fixed, deterministic, offline):
Env:
AR_BASE endpoint (default http://127.0.0.1:7770)
AR_MODEL served name (default frank-primary)
AR_MODEL served name (default frank-archon)
AR_PROMPT_CEILING hard prompt ceiling in tokens (default 100000)
AR_TEMPS comma-separated sampling temperatures (default "0,0.7")
@@ -45,7 +45,7 @@ import urllib.error
import urllib.request
BASE = os.environ.get("AR_BASE", "http://127.0.0.1:7770")
MODEL = os.environ.get("AR_MODEL", "frank-primary")
MODEL = os.environ.get("AR_MODEL", "frank-archon")
PROMPT_CEILING = int(os.environ.get("AR_PROMPT_CEILING", "100000"))
DEPTHS = (115, 1056, 4096)
WARM_TOKENS = 64
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# frank-primary-window.sh — one full bench window for frank-primary, run ON
# frank-archon-window.sh — one full bench window for frank-archon, run ON
# DANKSERVER as the deploy user (invoked over ssh by ./autoresearch.sh).
#
# Discipline (AGENTS.md Benchmarking Policy): the production unit is
@@ -12,9 +12,9 @@
#
# Staging layout (created by the orchestrator, ephemeral — never a config
# source; the repo checkout is):
# /home/dank/.autoresearch-frank-primary/
# /home/dank/.autoresearch-frank-archon/
# serve.sh staged candidate serve script
# frank-primary.env staged candidate env (the candidate knobs)
# frank-archon.env staged candidate env (the candidate knobs)
# measure.py the in-container measure client
# hash candidate fingerprint
# run.json result (metrics + boot + kv + fingerprint)
@@ -27,16 +27,16 @@
# outcome; a failed restore forces exit 1).
set -uo pipefail
STAGE="${FRANK_PRIMARY_AR_STAGE:-/home/dank/.autoresearch-frank-primary}"
UNIT="${FRANK_PRIMARY_AR_UNIT:-frank-primary}"
CTR="${FRANK_PRIMARY_AR_CTR:-frank-primary-qwen}"
STAGE="${FRANK_ARCHON_AR_STAGE:-/home/dank/.autoresearch-frank-archon}"
UNIT="${FRANK_ARCHON_AR_UNIT:-frank-archon}"
CTR="${FRANK_ARCHON_AR_CTR:-frank-archon-qwen}"
HEALTH_URL="http://127.0.0.1:7770/health"
MODELS_URL="http://127.0.0.1:7770/v1/models"
BOOT_TIMEOUT="${FRANK_PRIMARY_AR_BOOT_TIMEOUT:-1200}"
RESTORE_TIMEOUT="${FRANK_PRIMARY_AR_RESTORE_TIMEOUT:-1200}"
MEASURE_TIMEOUT="${FRANK_PRIMARY_AR_MEASURE_TIMEOUT:-1800}"
SERVED="$(sed -n 's/^FRANK_PRIMARY_SERVED_NAME=//p' "$STAGE/frank-primary.env" 2>/dev/null | head -1)"
SERVED="${SERVED:-frank-primary}"
BOOT_TIMEOUT="${FRANK_ARCHON_AR_BOOT_TIMEOUT:-1200}"
RESTORE_TIMEOUT="${FRANK_ARCHON_AR_RESTORE_TIMEOUT:-1200}"
MEASURE_TIMEOUT="${FRANK_ARCHON_AR_MEASURE_TIMEOUT:-1800}"
SERVED="$(sed -n 's/^FRANK_ARCHON_SERVED_NAME=//p' "$STAGE/frank-archon.env" 2>/dev/null | head -1)"
SERVED="${SERVED:-frank-archon}"
RESTORED=0
@@ -72,7 +72,7 @@ capture_bench_failure() {
echo "=== staged serve.out (tail 60) ==="
tail -60 "$STAGE/serve.out" 2>/dev/null || true
echo "=== engine log (tail 60) ==="
tail -60 /home/dank/logs/frank_primary.log 2>/dev/null || true
tail -60 /home/dank/logs/frank_archon.log 2>/dev/null || true
} >"$STAGE/fail.log" 2>&1 || true
grep -E 'OutOfMemory|Tried to allocate|Engine core initialization failed|Error|error' \
"$STAGE/fail.log" 2>/dev/null | tail -25 >&2 || true
@@ -114,7 +114,7 @@ trap 'restore; rc=$?; [ "$rc" -ne 0 ] && exit 1' EXIT
main() {
local f
for f in serve.sh frank-primary.env measure.py hash; do
for f in serve.sh frank-archon.env measure.py hash; do
[ -f "$STAGE/$f" ] || { log "staged file missing: $STAGE/$f"; exit 1; }
done
mkdir -p "$STAGE/last"
@@ -133,7 +133,7 @@ main() {
t0="$(date +%s)"
log "starting bench instance from staged config (fingerprint $(tr -d '[:space:]' <"$STAGE/hash"))"
FRANK_PRIMARY_ENV_FILE="$STAGE/frank-primary.env" \
FRANK_ARCHON_ENV_FILE="$STAGE/frank-archon.env" \
setsid nohup bash "$STAGE/serve.sh" >"$STAGE/serve.out" 2>&1 </dev/null &
echo "$!" >"$STAGE/serve.pid"
+3 -3
View File
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Decode throughput benchmark for frank-large.
# Decode throughput benchmark for frank-dragoon.
# Measures generation tok/s with 8K+ token prompts and 256 generated tokens.
set -euo pipefail
@@ -57,7 +57,7 @@ run_bench() {
# Warmup (small request)
curl -s -m 60 http://127.0.0.1:$PORT/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"frank-large","messages":[{"role":"user","content":"Hi"}],"max_tokens":16,"stream":false}' > /dev/null 2>&1 || true
-d '{"model":"frank-dragoon","messages":[{"role":"user","content":"Hi"}],"max_tokens":16,"stream":false}' > /dev/null 2>&1 || true
# Build 8K prompt
local prompt
@@ -75,7 +75,7 @@ print(json.dumps(' '.join(words)))
t0=$(date +%s%N)
resp=$(curl -s -m 600 http://127.0.0.1:$PORT/v1/chat/completions \
-H "Content-Type: application/json" \
-d "{\"model\":\"frank-large\",\"messages\":[{\"role\":\"user\",\"content\":$prompt}],\"max_tokens\":$N_GEN,\"stream\":false}" 2>&1)
-d "{\"model\":\"frank-dragoon\",\"messages\":[{\"role\":\"user\",\"content\":$prompt}],\"max_tokens\":$N_GEN,\"stream\":false}" 2>&1)
t1=$(date +%s%N)
if ! echo "$resp" | python3 -c "import sys,json; json.load(sys.stdin)" 2>/dev/null; then
+48
View File
@@ -0,0 +1,48 @@
#!/usr/bin/env python3
"""bench-probe.py — RUNS ON DANKSERVER. The campaign's decode probe: one
/completion request, a prompt assembled from calib.jsonl to ~TARGET tokens,
temperature 0, max_tokens 512. Reports the engine's own timings: decode rate,
prefill rate, draft accept. Run 3x; the median is the arm's number."""
import json, sys, urllib.request
TARGET = 43600 # tokens
BYTES_PER_TOK = 3.8
URL = "http://localhost:7770/v1/completions"
def build_prompt():
want = int(TARGET * BYTES_PER_TOK)
parts = []
n = 0
with open("/home/dank/corpora/out/calib.jsonl") as f:
for line in f:
d = json.loads(line)
p = d.get("prompt") or d.get("messages", [{}])[0].get("content", "")
parts.append(p)
n += len(p.encode())
if n >= want:
break
return "".join(parts)
def probe(salt):
prompt = f"[probe {salt}]\n" + build_prompt()
body = json.dumps({
"model": "frank-archon",
"prompt": prompt, "temperature": 0.0, "max_tokens": 512,
}).encode()
req = urllib.request.Request(URL, data=body,
headers={"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=1800) as r:
d = json.load(r)
t = d.get("timings", {})
return {
"prompt_n": t.get("prompt_n"),
"prefill_tps": round(t.get("prompt_per_second", 0), 1),
"pred_n": t.get("predicted_n"),
"decode_tps": round(t.get("predicted_per_second", 0), 2),
"draft_n": t.get("draft_n"),
"accept": (round(t["draft_n_accepted"] / t["draft_n"], 4)
if t.get("draft_n") else None),
}
if __name__ == "__main__":
print(json.dumps(probe(sys.argv[1] if len(sys.argv) > 1 else "a")))
+2 -2
View File
@@ -1,6 +1,6 @@
#!/usr/bin/env python3
"""
HTTP-based prefill-throughput sweep for frank-large.
HTTP-based prefill-throughput sweep for frank-dragoon.
Starts the server with a given --threads-batch value, sends a 64K-prompt via
the chat API (max_tokens=0), measures prompt_tokens/wall_time.
@@ -39,7 +39,7 @@ def send_prefill_request():
with open(PROMPT_FILE, "r") as f:
prompt = f.read()
body = json.dumps({
"model": "frank-large",
"model": "frank-dragoon",
"messages": [{"role": "user", "content": prompt}],
"max_tokens": 1,
"stream": False
+2 -2
View File
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Threads-batch sweep for frank-large on dankclaw
# Threads-batch sweep for frank-dragoon on dankclaw
# Benches prefill throughput at 65536 prompt tokens across threads-batch values.
set -uo pipefail
@@ -10,7 +10,7 @@ TB_LIST=(16 32 48 64 80 96 128)
ENV_FILE="/home/dank/GitPackages/ROCmFPX/build-qwen38/bin"
echo "========================================"
echo "THREADS-BATCH SWEEP — frank-large"
echo "THREADS-BATCH SWEEP — frank-dragoon"
echo "Model: $(basename "$MODEL") ($(du -h "$MODEL" | cut -f1))"
echo "Threads-batch values: ${TB_LIST[*]}"
echo "Prompt: 65536 tokens, n-gen: 0 (prefill-only)"
+4 -4
View File
@@ -1,14 +1,14 @@
#!/usr/bin/env bash
# Benchmark ubatch with llama-bench for frank-large.
# Benchmark ubatch with llama-bench for frank-dragoon.
#
# This is intentionally a ubatch-only benchmark. It uses one llama-bench
# process, an 8K prompt workload, and equal batch/ubatch values. No server
# process, HTTP requests, or log scraping are used.
#
# Run on Dankclaw after stopping frank-large:
# sudo systemctl stop frank-large
# Run on Dankclaw after stopping frank-dragoon:
# sudo systemctl stop frank-dragoon
# ./scripts/bench-ubatch.sh
# sudo systemctl start frank-large
# sudo systemctl start frank-dragoon
set -euo pipefail
: "${LLAMA_BENCH:=/home/dank/GitPackages/ROCmFPX/build-strix-rocmfp4/bin/llama-bench}"
@@ -1,11 +1,11 @@
#!/usr/bin/env bash
# build-frank-primary-rad.sh — build frank-primary's .rad container from the
# build-frank-archon-rad.sh — build frank-archon's .rad container from the
# OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint, at NATIVE precision.
#
# bash scripts/build-frank-primary-rad.sh # convert
# bash scripts/build-frank-primary-rad.sh --plan-only # declare, no I/O
# bash scripts/build-frank-primary-rad.sh --restage # redo staging
# bash scripts/build-frank-primary-rad.sh --force # rebuild existing
# bash scripts/build-frank-archon-rad.sh # convert
# bash scripts/build-frank-archon-rad.sh --plan-only # declare, no I/O
# bash scripts/build-frank-archon-rad.sh --restage # redo staging
# bash scripts/build-frank-archon-rad.sh --force # rebuild existing
#
# WHY A STAGING DIR (the one non-obvious step): rad-convert selects its
# architecture plugin by the checkpoint's quantisation DESCRIPTOR —
@@ -55,8 +55,8 @@ OUT="$OUT_DIR/qwen4exp-fp8-native.rad"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck disable=SC1091
source "$SCRIPT_DIR/frank-primary.env"
IMAGE="$FRANK_PRIMARY_IMAGE"
source "$SCRIPT_DIR/frank-archon.env"
IMAGE="$FRANK_ARCHON_IMAGE"
plan_only=0 restage=0 force=0
for a in "$@"; do
@@ -69,11 +69,11 @@ for a in "$@"; do
done
if [ ! -f "$SRC/config.json" ]; then
echo "ERROR: raw checkpoint missing: $SRC (run scripts/download-frank-primary.sh --fetch)" >&2
echo "ERROR: raw checkpoint missing: $SRC (run scripts/download-frank-archon.sh --fetch)" >&2
exit 1
fi
echo "verifying raw checkpoint first..."
bash "$SCRIPT_DIR/download-frank-primary.sh"
bash "$SCRIPT_DIR/download-frank-archon.sh"
if [ -f "$OUT" ] && [ "$plan_only" -eq 0 ] && [ "$force" -eq 0 ]; then
echo "container already exists: $OUT"
@@ -83,7 +83,7 @@ fi
# ---- staging ----------------------------------------------------------------
if [ "$restage" -eq 1 ] && [ -e "$STAGE" ]; then
TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-primary-stage"
TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-archon-stage"
mkdir -p "$TRASH"
mv "$STAGE" "$TRASH/stage-$(date +%H%M%S)"
echo "old staging dir moved to $TRASH"
@@ -138,7 +138,7 @@ CONVERT_ARGS=(/models/stage-qwen4exp-fp8 -o /models/rad/qwen4exp-fp8-native.rad
# exactly and the plugin's one-element scale plane is produced.
CONVERT_ARGS+=(--quant "blk.*.ple_ngram.weight=rtn:codes=fp8_e4m3,block=*x*,scale=bf16,rule=fixed,scale_value=$PLE_SCALE")
[ "$force" -eq 1 ] && [ -f "$OUT" ] && {
TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-primary-rad"
TRASH="$HOME/.AGENTTRASH/$(date +%Y%m%d)-frank-archon-rad"
mkdir -p "$TRASH"
mv "$OUT" "$TRASH/qwen4exp-fp8-native.rad.$(date +%H%M%S)"
echo "previous container moved to $TRASH"
@@ -158,8 +158,8 @@ echo "rad-info summary:"
podman run --rm --entrypoint rad-info -v /home/dank/models:/models:ro \
"$IMAGE" "/models/rad/qwen4exp-fp8-native.rad" | head -20
MIB=$(( $(stat -c %s "$OUT") / 1048576 ))
echo "container: $OUT (${MIB} MiB; env floor $FRANK_PRIMARY_RAD_MIN_MIB MiB)"
if [ "$MIB" -lt "$FRANK_PRIMARY_RAD_MIN_MIB" ]; then
echo "container: $OUT (${MIB} MiB; env floor $FRANK_ARCHON_RAD_MIN_MIB MiB)"
if [ "$MIB" -lt "$FRANK_ARCHON_RAD_MIN_MIB" ]; then
echo "ERROR: container below the env floor — the convert was truncated" >&2
exit 1
fi
+2 -2
View File
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Build the gufo runtime that serves frank-large on Dankclaw.
# Build the gufo runtime that serves frank-dragoon on Dankclaw.
#
# bash scripts/build-gufo.sh # build + install the pinned tag
# bash scripts/build-gufo.sh --verify # only check the installed tree
@@ -93,4 +93,4 @@ cmake --install build/release
echo "== verify =="
"$PREFIX/bin/gufo" diagnose
echo "frank-large runtime ready: $PREFIX/bin/gufo ($GUFO_TAG @ $commit)"
echo "frank-dragoon runtime ready: $PREFIX/bin/gufo ($GUFO_TAG @ $commit)"
+4 -4
View File
@@ -1,11 +1,11 @@
#!/usr/bin/env bash
# Build the ROCmFPX runtime that serves frank-large on Dankclaw.
# Build the ROCmFPX runtime that serves frank-dragoon on Dankclaw.
#
# bash scripts/build-rocmfpx.sh # clone/fetch + build the pin
# bash scripts/build-rocmfpx.sh --verify # only check the installed tree
#
# Runtime: kingjones30/ROCmFPX — charlie12345/ROCmFPX plus the model-card
# patches, i.e. the fork that owns the ROCmFPx tensor formats. frank-large's
# patches, i.e. the fork that owns the ROCmFPx tensor formats. frank-dragoon's
# payload is ftype 115 (`Q8_0_ROCMFPX_AGENT`): 311 tensors of
# GGML_TYPE_Q8_0_ROCMFPX (103), a type that exists ONLY in this fork, so
# stock llama.cpp, gufo and every other loader on the host reject the file.
@@ -30,7 +30,7 @@
set -euo pipefail
ROCMFPX_REPO="${ROCMFPX_REPO:-https://github.com/kingjones30/ROCmFPX.git}"
# The commit frank-large was qualified with (measured 2026-10-02).
# The commit frank-dragoon was qualified with (measured 2026-10-02).
ROCMFPX_COMMIT="${ROCMFPX_COMMIT:-36e9acd40e10a87cd3c3ef8ec734668757dc8520}"
SRC_DIR="${ROCMFPX_SRC_DIR:-/home/dank/GitPackages/kingjones-ROCmFPX}"
BUILD_DIR="${ROCMFPX_BUILD_DIR:-$SRC_DIR/build}"
@@ -86,4 +86,4 @@ cmake --build "$BUILD_DIR" --target llama-server llama-quantize -j "$JOBS"
echo "== verify =="
"$BUILD_DIR/bin/llama-server" --version | head -1
echo "frank-large runtime ready: $BUILD_DIR/bin/llama-server ($ROCMFPX_COMMIT)"
echo "frank-dragoon runtime ready: $BUILD_DIR/bin/llama-server ($ROCMFPX_COMMIT)"
+110
View File
@@ -0,0 +1,110 @@
#!/usr/bin/env python3
"""calib-push.py — drive a calibration corpus through a radiance scratch
server's prefill so its tap writes layer Hessians (docs/MOE-W4.md).
Runs ON DANKSERVER next to the scratch server (the one autoresearch- /
serve-style scratch container booted with RADIANCE_CALIB_DIR set).
Reads the corpus JSONL produced by make-calib-corpus.py
({"prompt": "..."} a line), POSTs each prompt to /v1/completions with
max_tokens=1 (prefill-only cost, one token out), at N-way concurrency
matching the scratch server's --max-num-seqs budget.
Corpus rounds repeat until the engine prints the tap's completion line
("calibration wrote layer Hessians") in `podman logs <container>` — that
is the ground truth that RADIANCE_CALIB_TOKENS was reached. After that
line, further prompts are pure waste, so the driver exits.
Mechanics notes:
- requests carry no sampling params that matter (max_tokens=1, greedy).
- a per-request timeout of 30 min: at ~1k tok/s prefill a 12k-token
prompt is a few seconds; the timeout only catches a wedged engine.
- failures print and continue: the tap pools over tokens, a few lost
prompts do not bias the Hessians (the corpus is drawn round-robin over
source classes, so loss is class-neutral as long as failures are rare;
a systematic 4xx is loud in the log and must be fixed, not ignored).
Usage: calib-push.py [--port 7770] [--parallel 64] [--container arbench]
[--corpus /home/dank/corpora/out/calib.jsonl] [--max-rounds 4]
"""
import argparse
import concurrent.futures
import json
import subprocess
import sys
import time
import urllib.request
DONE_MARK = "calibration wrote"
def tap_done(container):
"""True if the engine logged the tap's completion line."""
try:
out = subprocess.run(
["podman", "logs", "--tail", "50", container],
capture_output=True, text=True, timeout=30,
)
except Exception:
return False
return DONE_MARK in (out.stdout + out.stderr)
def push_one(url, prompt):
body = json.dumps({
"model": "frank-archon",
"prompt": prompt,
"max_tokens": 1,
"temperature": 0,
"stream": False,
}).encode()
req = urllib.request.Request(
url, data=body, headers={"Content-Type": "application/json"})
try:
with urllib.request.urlopen(req, timeout=1800) as r:
r.read()
return True
except Exception as e:
print(f"FAIL {str(e)[:120]}", flush=True)
return False
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--port", type=int, default=7770)
ap.add_argument("--parallel", type=int, default=64)
ap.add_argument("--container", default="arbench")
ap.add_argument("--corpus", default="/home/dank/corpora/out/calib.jsonl")
ap.add_argument("--max-rounds", type=int, default=4)
a = ap.parse_args()
url = f"http://127.0.0.1:{a.port}/v1/completions"
prompts = []
with open(a.corpus) as f:
for line in f:
line = line.strip()
if line:
prompts.append(json.loads(line)["prompt"])
print(f"corpus: {len(prompts)} prompts", flush=True)
for rnd in range(1, a.max_rounds + 1):
if tap_done(a.container):
break
t0 = time.time()
ok = 0
with concurrent.futures.ThreadPoolExecutor(a.parallel) as ex:
for good in ex.map(lambda p: push_one(url, p), prompts):
ok += 1 if good else 0
dt = time.time() - t0
print(f"round {rnd}: {ok}/{len(prompts)} ok in {dt:.0f}s "
f"({sum(len(p) for p in prompts)/4/dt:.0f} chars/s est)",
flush=True)
if tap_done(a.container):
break
else:
print("max rounds exhausted, tap not done", flush=True)
sys.exit(1)
print("TAP_DONE: calibration wrote layer Hessians", flush=True)
if __name__ == "__main__":
main()
+73
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@@ -0,0 +1,73 @@
#!/usr/bin/env bash
# convert-swift15-w4dn8.sh — RUNS ON DANKSERVER. The final recipe convert of
# the Swift 1.5 checkpoint: gate_up experts through GPTQ against the 10M-token
# calibration Grams, down projections block-fp8, protected experts bf16,
# trunk int8, PLE fixed-scale fp8 (scripts/recipes/
# qwen4exp-swift15-w4dn8-i8-hc8m.recipe).
#
# The convert engine is 1.0.13 — the SAME pin that will serve the result, so
# the .rad crosses no version boundary. Only the Gram files cross versions
# (1.2.0 wrote them; the RADGRAM2 magic, gram.r%d.%s.bin naming and the
# calib_gram/calib_resolve/calib_stem symbols are byte-identical between the
# two libquant.so). rad-convert runs on the host backend (no GPU visible in
# the container) — production can stay up through this script.
#
# Prereqs (campaign order): calibration complete (calib-push printed TAP_DONE),
# the protected-expert cast lines rewritten into the recipe by
# derive-protected-experts.py, and the 335 GiB bf16 container deleted —
# the peak-disk arithmetic needs that space (checkpoint 335.3 + output ~132
# GiB on the volume; --reuse is NOT used, see the recipe header).
set -euo pipefail
PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
IMAGE="stilldeadcode/radiance@$PIN_1013"
CKPT=/home/dank/models/ukisai/Swift1.5-Qwen3.8-Flash-Next
RECIPE=/home/dank/serverAppConfigs-swift15/scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe
CALIB=/home/dank/corpora/calib
OUT=/home/dank/models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad
LOG=/home/dank/logs/swift15_convert.log
# gate_up ~37.6 + down ~18.8 + PLE 47.7 + trunk/embeddings/head ~10 GiB (all-w4 expert
# table; one encoding per expert table rules out a block-fp8 down tier -- see the recipe header).
MIN_MIB=${FRANK_SWIFT15_RAD_MIN_MIB:-108000}
# Gate 1: inputs. A missing Gram directory converts UNCALIBRATED with a
# per-tensor stderr note, which is silently worse than failing here.
[ -d "$CKPT" ] || { echo "no checkpoint at $CKPT" >&2; exit 1; }
[ -f "$RECIPE" ] || { echo "no recipe at $RECIPE" >&2; exit 1; }
GRAMS=$(find "$CALIB" -maxdepth 1 -name 'gram.r*.bin' 2>/dev/null | wc -l)
[ "$GRAMS" -ge 48 ] || { echo "calib dir $CALIB holds $GRAMS gram files (<48)" >&2; exit 1; }
if [ -e "$OUT" ]; then echo "$OUT already exists; move it to trash first" >&2; exit 1; fi
if [ -e /home/dank/models/rad/qwen4exp-swift15-bf16.rad ]; then
echo "the bf16 container is still on disk; delete it first (peak disk)" >&2; exit 1
fi
# Gate 2: disk. Output ~132 GiB plus convert staging, 20 GiB of slack.
FREE_MIB=$(df --output=avail -m /home/dank/models | tail -1 | tr -d ' ')
[ "$FREE_MIB" -ge $((MIN_MIB + 20480)) ] || {
echo "only ${FREE_MIB} MiB free on /home/dank/models" >&2; exit 1; }
# The recipe names $CALIB; rad-convert expands it from the environment
# (MOE-W4.md:275). The recipe's cast section must name THIS checkpoint's
# protected experts — derive-protected-experts.py rewrote it.
echo "convert: $CKPT -> $OUT (gptq calib=$CALIB, $(date -Is))" | tee "$LOG"
podman run --rm --name swift15-convert \
-v /home/dank/models:/models \
-v /home/dank/serverAppConfigs-swift15:/campaign:ro \
-v "$CALIB:/data/calib:ro" \
-e CALIB=/data/calib \
--entrypoint /opt/radiance/bin/rad-convert \
"$IMAGE" "/models/${CKPT#/home/dank/models/}" \
--recipe /campaign/"${RECIPE#/home/dank/serverAppConfigs-swift15/}" \
-o /models/rad/"$(basename "$OUT")" 2>&1 | tee -a "$LOG"
rc=${PIPESTATUS[0]}
[ "$rc" -eq 0 ] || { echo "rad-convert rc=$rc; log: $LOG" >&2; exit "$rc"; }
# Gate 3: the artifact. rad-info's recipe echo is the receipt that GPTQ ran.
SIZE_MIB=$(( $(stat -c %s "$OUT") / 1048576 ))
[ "$SIZE_MIB" -ge "$MIN_MIB" ] || {
echo "$OUT is ${SIZE_MIB} MiB < floor ${MIN_MIB}" >&2; exit 1; }
podman run --rm --entrypoint /opt/radiance/bin/rad-info \
-v /home/dank/models:/models:ro "$IMAGE" /models/rad/"$(basename "$OUT")" \
2>&1 | tee -a "$LOG" | grep -c 'gptq' >/dev/null \
|| echo "WARNING: rad-info shows no gptq rule in the recorded recipe" >&2
echo "CONVERT_DONE ${SIZE_MIB} MiB -> $OUT"
+3 -3
View File
@@ -57,9 +57,9 @@ else
echo " none"
fi
section "frank-primary unit"
printf ' active: %s\n' "$(systemctl is-active frank-primary 2>/dev/null | head -1)"
printf ' enabled: %s\n' "$(systemctl is-enabled frank-primary 2>/dev/null | head -1)"
section "frank-archon unit"
printf ' active: %s\n' "$(systemctl is-active frank-archon 2>/dev/null | head -1)"
printf ' enabled: %s\n' "$(systemctl is-enabled frank-archon 2>/dev/null | head -1)"
section "glm serve tail"
if podman ps -a --format '{{.Names}}' 2>/dev/null | grep -qx "$GLM_CTR"; then
+55
View File
@@ -0,0 +1,55 @@
#!/usr/bin/env python3
"""deep-probe.py — one chat completion at ~43.6k prompt tokens, temp 0, 512
generated, streamed; decode = completion_tokens / (total - ttft)."""
import json, time, urllib.request
TARGET_BYTES = int(43600 * 3.8)
def build():
parts, n = [], 0
with open("/home/dank/corpora/out/calib.jsonl") as f:
for line in f:
p = json.loads(line)["prompt"]
parts.append(p)
n += len(p.encode())
if n >= TARGET_BYTES:
break
return "".join(parts)
def main(salt):
body = json.dumps({
"model": "frank-archon",
"messages": [{"role": "user", "content": f"[probe {salt}] Continue and summarize this material in English, 400 words.\n\n" + build()}],
"temperature": 0.0, "max_tokens": 512,
"stream": True, "stream_options": {"include_usage": True},
}).encode()
req = urllib.request.Request("http://localhost:7770/v1/chat/completions",
data=body, headers={"Content-Type": "application/json"})
t0 = time.time(); ttft = None; ctok = 0; usage = {}
with urllib.request.urlopen(req, timeout=2400) as r:
for raw in r:
line = raw.decode().strip()
if not line.startswith("data:"):
continue
d = line[5:].strip()
if d == "[DONE]":
break
j = json.loads(d)
if j.get("usage"):
usage = j["usage"]
for ch in j.get("choices", []):
delta = (ch.get("delta") or {})
piece = delta.get("content") or delta.get("reasoning_content") or ""
if piece and ttft is None:
ttft = time.time() - t0
ctok += 1
total = time.time() - t0
gen = usage.get("completion_tokens") or ctok
dec = gen / (total - (ttft or 0)) if total > (ttft or 0) else 0
print(json.dumps({"salt": salt, "prompt_tokens": usage.get("prompt_tokens"),
"completion_tokens": gen, "ttft_s": round(ttft or 0, 2),
"total_s": round(total, 1), "decode_tps": round(dec, 2)}))
if __name__ == "__main__":
import sys
main(sys.argv[1] if len(sys.argv) > 1 else "x")
+54 -461
View File
@@ -1,475 +1,68 @@
#!/usr/bin/env python3
"""Plan runtime services affected by repository changes.
"""deploy-plan.py — map changed paths to deployable services.
The planner is intentionally side-effect free. It accepts either an explicit
path list or two Git revisions. The latter lets compose-file changes resolve
to only the service definitions that actually changed instead of restarting an
entire compose project.
Thin wrapper over scripts/service-map.py, which owns the path->service
semantics in the shared inventory (shared/services.yml): per-service path
rules, the quadlet netns/network coupling graph, host scoping (a host's
directory can only select that host's services), and canonical restart
order. This file keeps the deployer's CLI contract only.
Usage:
deploy-plan.py --target NAME --repo DIR --base REV --head REV
deploy-plan.py --target NAME [paths...] (paths also on stdin)
Prints one service name per line (canonical restart order); exit 0 with no
output when nothing relevant changed.
"""
from __future__ import annotations
import argparse
import os
import subprocess
import sys
from pathlib import PurePosixPath
from typing import Any
import yaml
# Dependency-sensitive services come before their consumers. Independent
# compose services follow. LLM services are deliberately last and are never
# implied by a generic host, stack, documentation, or config change.
SERVICE_ORDER = (
"gluetun",
"searxng-valkey",
"searxng",
"marreta",
"pihole",
"open-webui",
"gitea-postgres",
"gitea-server",
"comfyui",
"seerr",
"hermes",
"hermes-dashboard",
"hermes-webui",
"prometheus",
"grafana",
"loki",
"alloy",
"node-exporter",
"alertmanager",
"authentik-postgres",
"authentik-server",
"authentik-worker",
"authentik-outpost",
"authentik-outpost-ldap",
"caddy",
"homepage",
"romm-mariadb",
"romm-redis",
"romm",
"copyparty",
"jellyfin",
"calibre-web",
"calibre-server",
"plex",
"tautulli",
"prowlarr",
"qbittorrent",
"radarr",
"sonarr",
"lidarr",
"readarr",
"frank-large",
"frank-secondary",
"frank-primary",
)
DANKCLAW_SERVICES = {
"hermes-webui",
"gluetun",
"searxng-valkey",
"searxng",
"marreta",
"pihole",
"open-webui",
"gitea-postgres",
"gitea-server",
"comfyui",
"seerr",
"hermes",
"hermes-dashboard",
"prometheus",
"grafana",
"loki",
"alloy",
"node-exporter",
"alertmanager",
"authentik-postgres",
"authentik-server",
"authentik-worker",
"authentik-outpost",
"authentik-outpost-ldap",
"caddy",
"homepage",
"frank-large",
"frank-secondary",
}
DANKSERVER_SERVICES = {
"romm-mariadb",
"romm-redis",
"romm",
"copyparty",
"jellyfin",
"calibre-web",
"calibre-server",
"plex",
"tautulli",
"prowlarr",
"qbittorrent",
"radarr",
"sonarr",
"lidarr",
"readarr",
"frank-primary",
"node-exporter",
}
# FrankBook-Pro runs the *arr stack + qBittorrent inside a podman machine on
# macOS. Service names overlap the Linux hosts (gluetun, qbittorrent, ...);
# the per-target sets and the frankbook-pro intercept in deploy-remote.sh
# keep dispatch unambiguous.
FRANKBOOK_SERVICES = {
"gluetun",
"qbittorrent",
"prowlarr",
"radarr",
"sonarr",
"lidarr",
"readarr",
}
DANKCLAW_COMPOSE_SERVICES = set()
# Dankserver's compose file is still the source of truth for its media stack;
# Dankclaw's is gone (deleted 2026-09-16). Every service on Dankclaw is a
# Quadlet unit now — the last compose services were the hermes trio, whose units
# have owned their containers since 2026-09-12 and whose compose blocks were
# dead weight that could only create a duplicate container.
DANKSERVER_COMPOSE_SERVICES = {
"mariadb",
"redis",
"romm",
"copyparty",
"jellyfin",
"calibre-web",
}
COMPOSE_NAME_MAP = {"mariadb": "romm-mariadb", "redis": "romm-redis"}
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
SERVICE_MAP = os.path.join(SCRIPT_DIR, "service-map.py")
def _add(services: set[str], *names: str) -> None:
services.update(names)
def target_services(target: str) -> set[str]:
if target == "dankclaw":
return DANKCLAW_SERVICES
if target == "dankserver":
return DANKSERVER_SERVICES
if target == "frankbook-pro":
return FRANKBOOK_SERVICES
raise ValueError(f"unknown target: {target}")
def _compose_services(target: str) -> set[str]:
return DANKCLAW_COMPOSE_SERVICES if target == "dankclaw" else DANKSERVER_COMPOSE_SERVICES
def _git_show(repo: str, revision: str, path: str) -> str | None:
result = subprocess.run(
["git", "-C", repo, "show", f"{revision}:{path}"],
text=True,
stdout=subprocess.PIPE,
stderr=subprocess.DEVNULL,
check=False,
)
return result.stdout if result.returncode == 0 else None
def _yaml_document(contents: str | None) -> dict[str, Any]:
if contents is None:
return {}
try:
data = yaml.safe_load(contents) or {}
except yaml.YAMLError:
return {}
return data if isinstance(data, dict) else {}
def _yaml_services(contents: str | None) -> dict[str, Any]:
services = _yaml_document(contents).get("services", {})
return services if isinstance(services, dict) else {}
def compose_changes(repo: str, target: str, base: str, head: str) -> set[str]:
"""Return only compose services whose YAML definitions or dependencies changed.
A target with no compose file (Dankclaw since 2026-09-16) plans nothing:
its services are Quadlet units, selected by their own paths.
"""
path = f"{target}/compose.yaml"
if not _git_show(repo, head, path) and not _git_show(repo, base, path):
return set()
old_doc = _yaml_document(_git_show(repo, base, path))
new_doc = _yaml_document(_git_show(repo, head, path))
old = old_doc.get("services", {}) if isinstance(old_doc.get("services", {}), dict) else {}
new = new_doc.get("services", {}) if isinstance(new_doc.get("services", {}), dict) else {}
names = set(old) | set(new)
allowed = _compose_services(target)
# An unavailable or malformed revision is safer as a broad compose plan
# than as a silent no-op. It still cannot include LLM units.
if (old_doc and not new_doc) or (new_doc and not old_doc and names):
return {COMPOSE_NAME_MAP.get(n, n) for n in allowed}
# Top-level networks/configuration can affect every compose service even
# when no individual service mapping changed. Ignore the services key while
# comparing the rest of the Compose document.
old_globals = {key: value for key, value in old_doc.items() if key != "services"}
new_globals = {key: value for key, value in new_doc.items() if key != "services"}
if old_globals != new_globals:
return {COMPOSE_NAME_MAP.get(n, n) for n in allowed}
changed = {name for name in names if name in allowed and old.get(name) != new.get(name)}
return {COMPOSE_NAME_MAP.get(n, n) for n in changed}
def services_for_path(path: str, target: str) -> set[str]:
"""Return services affected by one repository-relative path."""
path = path.replace("\\", "/")
p = PurePosixPath(path)
parts = p.parts
services: set[str] = set()
if not parts:
return services
# Non-runtime material is deliberately a no-op.
if parts[0] in {"docs", "tests", "old", ".githooks"}:
return services
if path in {"README.md", "AGENTS.md"} or parts[0] == ".obsidian":
return services
if parts[0] == "shared":
if len(parts) < 2:
return services
group = parts[1]
if group == "searxng":
_add(services, "searxng")
elif group == "prometheus":
_add(services, "prometheus")
if len(parts) >= 3 and parts[2] == "alertmanager.yml":
# The Alertmanager config ships from this directory: a change
# to it must redeploy the service that installs it.
_add(services, "alertmanager")
elif group == "loki":
_add(services, "loki")
elif group == "alloy":
_add(services, "alloy")
elif group == "grafana":
# Provisioned datasources and dashboards: git is the source of
# truth, so a change here must restart the service that reads them.
_add(services, "grafana")
elif group == "homepage":
# Homepage is a Dankclaw-owned deployment. Shared homepage files
# are intentionally not copied during a Dankserver-only run.
if target == "dankclaw":
_add(services, "homepage")
return services
if parts[0] == "dankclaw":
if len(parts) >= 2 and parts[1] == "compose.yaml":
# Dankclaw has no compose file since 2026-09-16: every service is a
# Quadlet unit, each selected by its own path. A change (or a
# deletion) of this path therefore restarts nothing.
return services
if len(parts) >= 2 and parts[1] == "Caddyfile":
_add(services, "caddy")
return services
if len(parts) >= 2 and parts[1] == "Containerfile.comfyui":
_add(services, "comfyui")
return services
if len(parts) >= 2 and parts[1] in {"caddy", "comfyui", "loki", "alloy", "hermes", "anubis", "seerr"}:
_add(services, parts[1])
return services
if len(parts) >= 4 and parts[1] == "authentik" and parts[2] == "quadlet":
name = parts[3].removesuffix(".container")
if name in {"authentik-postgres", "authentik-server", "authentik-worker", "authentik-outpost", "authentik-outpost-ldap"}:
_add(services, name)
return services
if len(parts) >= 2 and parts[1] == "searxng":
if len(parts) >= 4 and parts[2] == "quadlet":
name = parts[3]
if name == "gluetun.container":
# SearXNG and Marreta (+ its browser companion) share
# Gluetun's network namespace. A Gluetun recreation
# tears the netns down, so every sharer must restart.
_add(services, "gluetun", "searxng", "marreta")
elif name == "searxng.container":
_add(services, "searxng")
elif name == "searxng-valkey.container":
_add(services, "searxng-valkey", "searxng")
elif name == "searxng.network":
_add(services, "gluetun", "searxng-valkey", "searxng", "marreta")
return services
if len(parts) >= 2 and parts[1] == "marreta":
# One deployable owns both the app and its browser companion;
# both live in gluetun's netns. A change to either unit selects
# the marreta service, which restarts browser-then-app.
_add(services, "marreta")
return services
if len(parts) >= 2 and parts[1] == "pihole":
_add(services, "pihole")
return services
if len(parts) >= 2 and parts[1] == "open-webui":
_add(services, "open-webui")
return services
# frank-large left the quadlet shape on 2026-09-19 (CIRU v4.4.1 host
# build, root unit): its files live in scripts/ and map there.
if len(parts) >= 2 and parts[1] == "observability":
# The five observability containers became Quadlet units on
# 2026-09-11. A unit change selects exactly its own service;
# SERVICE_ORDER already puts each dependency ahead of its
# consumer (prometheus before grafana, loki before alloy).
if len(parts) >= 4 and parts[2] == "quadlet":
name = parts[3].removesuffix(".container")
if name in {"prometheus", "grafana", "loki", "alloy", "node-exporter", "alertmanager"}:
_add(services, name)
return services
if len(parts) >= 2 and parts[1] == "gitea":
if len(parts) >= 4 and parts[2] == "quadlet":
name = parts[3]
if name == "gitea-postgres.container":
_add(services, "gitea-postgres")
elif name == "gitea-server.container":
_add(services, "gitea-server")
elif name == "gitea-caddy.container":
# Removing the old split proxy requires the canonical
# Caddy handler to retire its installed unit/container
# before it claims ports 80/443.
_add(services, "caddy")
elif name == "gitea.network":
_add(services, "gitea-postgres", "gitea-server")
return services
return services
if parts[0] == "dankserver":
if len(parts) >= 2 and parts[1] == "compose.yaml":
# Compose service keys map onto the deployed unit names.
_add(services, *(COMPOSE_NAME_MAP.get(n, n) for n in DANKSERVER_COMPOSE_SERVICES))
return services
if len(parts) >= 3 and parts[2] == "quadlet":
quadlet_services = {
"romm": {"romm", "romm-mariadb", "romm-redis"},
"jellyfin": {"jellyfin"},
"calibre-web": {"calibre-web"},
"calibre-server": {"calibre-server"},
"copyparty": {"copyparty"},
"plex": {"plex"},
"tautulli": {"tautulli"},
}
_add(services, *quadlet_services.get(parts[1], set()))
if len(parts) >= 2 and parts[1] == "observability":
# Dankserver's node-exporter became a Quadlet unit on 2026-09-16
# (serverAppConfigs-docs/Infrastructure/Observability.md): its
# compose service died at a reboot and stayed dead, so Prometheus'
# node-dankserver job had nothing to scrape.
if len(parts) >= 4 and parts[2] == "quadlet":
name = parts[3].removesuffix(".container")
if name == "node-exporter":
_add(services, "node-exporter")
return services
# frank-primary's quadlet-era directory left the tree on 2026-09-26
# (the Lucebox DS4.1 unit was retired for the llama.cpp root unit —
# the trio in scripts/ now maps it). Nothing lives under
# dankserver/frank-primary/ except dated trash, and trash plans
# nothing (the retire rule above the service blocks).
return services
if parts[0] == "frankbook-pro":
if len(parts) >= 3 and parts[2] == "quadlet":
name = parts[3].removesuffix(".container")
if name == "gluetun":
# Every *arr + qBittorrent container shares gluetun's
# network namespace; a gluetun recreation kills all of
# them, so the plan restarts the whole netns family.
_add(services, "gluetun", "qbittorrent",
"prowlarr", "sonarr", "radarr", "lidarr", "readarr")
elif name in FRANKBOOK_SERVICES:
_add(services, name)
return services
if parts[0] == "scripts":
name = p.name
if name in {"homepage-status.py", "homepage-status.service", "homepage-status.timer"}:
_add(services, "homepage")
if name in {"signal-relay.py", "signal-relay.service"}:
# The Signal relay is installed by the alertmanager deploy, so a
# change to it redeploying alertmanager is the only path that
# reaches it on the host.
_add(services, "alertmanager")
if name in {"frank-secondary.env", "frank-secondary.service", "serve-frank-secondary.sh"}:
# llama.cpp frank-secondary (2026-09-16) keeps its unit, env and serve
# files here; each one selects frank-secondary only. The ik_llama.cpp
# trio that lived here for two days is in scripts/.AGENTTRASH/,
# which is archive material and plans nothing.
_add(services, "frank-secondary")
if name in {"frank-large.env", "frank-large.service", "serve-frank-large.sh"}:
# CIRU v4.4.1 frank-large (2026-09-19) keeps its unit, env and
# serve files here the same way: a root unit on a host-built
# runtime. The download script fetches the payload, which is
# host-side state, so it selects nothing.
_add(services, "frank-large")
if name == "qwen-sharp-v22.4.0.jinja":
# The Qwen-Sharp chat template frank-large loads via
# --chat-template-file. It lived under dankserver/frank-medium/ until
# the 2026-09-26 cutover retired that directory; editing it changes
# what the live frank-large endpoint renders, so it plans
# frank-large.
_add(services, "frank-large")
if name in {"frank-primary.env", "frank-primary.service", "serve-frank-primary.sh"}:
# llama.cpp frank-primary (2026-09-26, replacing the Lucebox
# DS4.1 quadlet) keeps its unit, env and serve files here the
# same way: a root unit on the unsloth b11030-mix prebuilt
# serving Qwen3.8-Flash-Next Q8_0. The download script fetches
# the payload, which is host-side state, so it selects nothing.
_add(services, "frank-primary")
# Deployment/test/benchmark scripts and other repo tooling do not
# restart a runtime service.
return services
# Examples and env templates are not deployed runtime state.
if p.name in {".env.example", "env.example"}:
return services
return services
def changed_paths(repo: str, base: str, head: str) -> list[str]:
result = subprocess.run(
["git", "-C", repo, "diff", "--name-only", "--diff-filter=ACDMRTUXB", base, head],
text=True,
stdout=subprocess.PIPE,
check=True,
)
return [line for line in result.stdout.splitlines() if line]
def plan(paths: list[str], target: str, repo: str | None = None,
base: str | None = None, head: str | None = None) -> list[str]:
services: set[str] = set()
for path in paths:
if path == f"{target}/compose.yaml" and repo and base and head:
services.update(compose_changes(repo, target, base, head))
else:
services.update(services_for_path(path, target))
allowed = target_services(target)
return [name for name in SERVICE_ORDER if name in services and name in allowed]
def git_paths(repo: str, base: str, head: str) -> list[str]:
proc = subprocess.run(
["git", "-C", repo, "diff", "--name-only", base, head],
text=True, capture_output=True)
if proc.returncode != 0:
sys.stderr.write(f"deploy-plan: git diff failed: {proc.stderr}")
raise SystemExit(1)
return [line for line in proc.stdout.splitlines() if line]
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--target", choices=("dankclaw", "dankserver", "frankbook-pro"), required=True)
parser.add_argument("--paths", nargs="+")
parser.add_argument("--repo", help="repository path for revision-aware planning")
parser.add_argument("--base", help="base Git revision")
parser.add_argument("--head", help="head Git revision")
args = parser.parse_args()
if not args.paths and not (args.repo and args.base and args.head):
parser.error("provide --paths or all of --repo, --base, and --head")
paths = args.paths or changed_paths(args.repo, args.base, args.head)
print("\n".join(plan(paths, args.target, args.repo, args.base, args.head)))
args = sys.argv[1:]
if not args or args[0] != "--target":
print(__doc__, file=sys.stderr)
return 2
if len(args) < 2:
print("missing target name after --target", file=sys.stderr)
return 2
target = args[1]
# `--paths` is the historic seam keyword: a flag, not an option — the
# paths are the positional arguments that follow it.
rest = [a for a in args[2:] if a != "--paths"]
if "--repo" in rest:
try:
repo = rest[rest.index("--repo") + 1]
base = rest[rest.index("--base") + 1]
head = rest[rest.index("--head") + 1]
except (ValueError, IndexError):
print("--repo, --base and --head must appear together", file=sys.stderr)
return 2
paths = git_paths(repo, base, head)
else:
paths = rest or [line.strip() for line in sys.stdin if line.strip()]
if not paths:
return 0
proc = subprocess.run([sys.executable, SERVICE_MAP, "plan", "--host", target] + paths,
text=True, capture_output=True)
if proc.returncode != 0:
sys.stderr.write(proc.stderr)
return proc.returncode
sys.stdout.write(proc.stdout)
return 0
+221 -284
View File
@@ -9,6 +9,13 @@
# pending until its service is explicitly deployed.
set -euo pipefail
# The LLM handlers' artifact gates are the serve scripts' own library, so
# the deployer and the unit refuse the same missing payload with the same
# words — no deploy can pass a gate the unit would fail. GATE_PREFIX is set
# per handler.
# shellcheck disable=SC1091
source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/lib/llm-gates.sh"
TARGET="${1:-}"
REVISION="${2:-}"
shift 2 || true
@@ -80,31 +87,10 @@ cd "$REMOTE_DIR"
mkdir -p "$STATE_DIR"
service_is_allowed() {
local service="$1"
case "$TARGET:$service" in
dankclaw:gluetun|dankclaw:searxng-valkey|dankclaw:searxng|dankclaw:pihole|\
dankclaw:open-webui|dankclaw:gitea-postgres|dankclaw:gitea-server|\
dankclaw:comfyui|dankclaw:hermes|\
dankclaw:hermes-dashboard|dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|\
dankclaw:loki|dankclaw:alloy|dankclaw:node-exporter|dankclaw:alertmanager|\
dankclaw:authentik-postgres|dankclaw:authentik-server|\
dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|\
dankclaw:caddy|dankclaw:homepage|dankclaw:seerr|dankclaw:marreta|\
dankclaw:frank-large|dankclaw:frank-secondary|\
dankserver:romm-mariadb|dankserver:romm-redis|dankserver:romm|\
dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
dankserver:prowlarr|dankserver:qbittorrent|dankserver:radarr|\
dankserver:sonarr|dankserver:lidarr|dankserver:readarr|\
dankserver:frank-primary|dankserver:node-exporter|\
frankbook-pro:gluetun|frankbook-pro:qbittorrent|frankbook-pro:prowlarr|\
frankbook-pro:radarr|frankbook-pro:sonarr|frankbook-pro:lidarr|\
frankbook-pro:readarr)
return 0
;;
*)
return 1
;;
esac
# The inventory (shared/services.yml via scripts/service-map.py) is the
# only allow-list: a service is deployable on a target iff the inventory
# places it there. Retiring a service from a host is a data edit.
python3 scripts/service-map.py allows --host "$TARGET" --service "$1"
}
mark_status() {
@@ -192,7 +178,7 @@ add_pending_services() {
continue
fi
[[ -n "$recorded" && "$recorded" != "$REVISION" ]] || continue
if [[ "$TARGET" == dankserver && "$service" == frank-large ]]; then continue; fi
if [[ "$TARGET" == dankserver && "$service" == frank-dragoon ]]; then continue; fi
if ! changed="$(python3 scripts/deploy-plan.py --target "$TARGET" \
--repo "$REMOTE_DIR" --base "$recorded" --head "$REVISION")"; then
echo "WARN: unable to compare state for $service; retaining it as pending" >&2
@@ -274,13 +260,11 @@ install_signal_relay() {
}
copy_loki_config() {
run_privileged mkdir -p /opt/loki/config
run_privileged cp shared/loki/loki-config.yaml /opt/loki/config/loki-config.yaml
copy_config /opt/loki/config shared/loki/loki-config.yaml
}
copy_alloy_config() {
run_privileged mkdir -p /opt/alloy/config
run_privileged cp shared/alloy/config.alloy /opt/alloy/config/config.alloy
copy_config /opt/alloy/config shared/alloy/config.alloy
}
copy_grafana_provisioning() {
@@ -289,14 +273,11 @@ copy_grafana_provisioning() {
# datasource would be invisible to review, lost with the data volume, and
# unknown to anyone reading the repository. The unit already mounts
# /opt/grafana/provisioning read-only, so this only has to populate it.
run_privileged mkdir -p /opt/grafana/provisioning/datasources \
/opt/grafana/provisioning/dashboards
run_privileged cp shared/grafana/provisioning/datasources/prometheus.yml \
/opt/grafana/provisioning/datasources/prometheus.yml
run_privileged cp shared/grafana/provisioning/dashboards/provider.yml \
/opt/grafana/provisioning/dashboards/provider.yml
run_privileged cp shared/grafana/provisioning/dashboards/llm-fleet.json \
/opt/grafana/provisioning/dashboards/llm-fleet.json
copy_config /opt/grafana/provisioning/datasources \
shared/grafana/provisioning/datasources/prometheus.yml
copy_config /opt/grafana/provisioning/dashboards \
shared/grafana/provisioning/dashboards/provider.yml \
shared/grafana/provisioning/dashboards/llm-fleet.json
}
render_caddyfile() {
@@ -322,6 +303,12 @@ deploy_homepage() {
if [[ -d shared/homepage/fonts ]]; then
run_privileged cp -r shared/homepage/fonts /srv/homepage/
fi
if [[ -d shared/homepage/img ]]; then
run_privileged cp -r shared/homepage/img /srv/homepage/
fi
if [[ -d shared/homepage/sfx ]]; then
run_privileged cp -r shared/homepage/sfx /srv/homepage/
fi
local deployed_at
deployed_at="$(git log -1 --format=%cI)"
printf 'window.DEPLOYED_AT = "%s";\n' "$deployed_at" > /tmp/deployed.js
@@ -435,31 +422,6 @@ deploy_caddy() {
fi
}
deploy_compose_service() {
local service="$1"
if [[ "$TARGET" == dankserver ]]; then
# Dankserver's compose file is the source-of-truth inventory, but its
# production containers are individually systemd-managed/bare. Do not
# use compose up here: it can create a second container with a wrong
# name and can interfere with a running workload.
echo "WARN: $service is recorded in dankserver/compose.yaml; production container management is host-specific and no restart was attempted."
return 0
fi
if [[ "$TARGET" == dankclaw ]]; then
# Dankclaw has no compose file since 2026-09-16: every service is a
# Quadlet unit with its own handler above. Reaching this means the
# dispatcher is missing a case, and the old fallback (`podman-compose
# up -d`) would now be a silent no-op or a duplicate container.
echo "no compose services on dankclaw; $service has no quadlet handler" >&2
return 2
fi
case "$service" in
*)
echo "unknown compose service: $service" >&2
return 2
;;
esac
}
# grafana is the one observability service that holds a credential: the
# Authentik OAuth2 client secret. It is seeded into a per-service env file (the
@@ -562,6 +524,35 @@ quadlet_unit_dir="$HOME/.config/containers/systemd"
# dankserver's user manager had no systemd container generator dir before the
# quadlet migration; every handler that installs a unit must find it present.
mkdir -p "$quadlet_unit_dir"
# copy_config DEST SRC... — the privileged config copy every service uses:
# ensure DEST, copy each tracked SRC into it. The deployer owns /opt state;
# the files in git are the source of truth, so a service config that only
# exists on the host is a gap by policy.
copy_config() {
local dest="$1"; shift
run_privileged mkdir -p "$dest"
local src
for src in "$@"; do
run_privileged cp "$src" "$dest/"
done
}
# retire_unit_file PATH TRASH [UNIT] — the repo Deletion & Trash policy, in
# code: stop and disable the named unit, move the unit FILE into the home
# trash (never rm), report. The dragoon quadlet retirement and the
# compose-era comfyui.service retirement were the same six lines twice.
retire_unit_file() {
local path="$1" trash="$2" unit="${3:-}"
[[ -e "$path" ]] || return 0
if [[ -n "$unit" ]]; then
systemctl --user stop "$unit" 2>/dev/null || true
systemctl --user disable "$unit" 2>/dev/null || true
fi
mkdir -p "$trash"
mv -- "$path" "$trash/$(basename "$path")"
echo "retired $(basename "$path") -> $trash"
}
install_quadlet() {
local service="$1"
local source_dir="$2"
@@ -649,15 +640,8 @@ deploy_comfyui() {
# generator produces, and it is what kept a stale, device-less container
# alive through `restart: unless-stopped` (9,146 failures on
# "No HIP GPUs are available"). Never `rm`: it moves into the home trash.
local legacy="$HOME/.config/systemd/user/comfyui.service"
if [[ -e "$legacy" ]]; then
local trash="$HOME/.AGENTTRASH/20260916-comfyui-compose-unit"
mkdir -p "$trash"
systemctl --user stop comfyui.service 2>/dev/null || true
systemctl --user disable comfyui.service 2>/dev/null || true
mv -- "$legacy" "$trash/comfyui.service"
echo "retired the compose-era comfyui.service -> $trash"
fi
retire_unit_file "$HOME/.config/systemd/user/comfyui.service" \
"$HOME/.AGENTTRASH/20260916-comfyui-compose-unit" comfyui.service
# The stale container carries the old config (no /dev/kfd, no /dev/dri) and
# would keep the quadlet's container from taking the name. It is replaced
# by the unit in the next step, so nothing is lost.
@@ -715,9 +699,15 @@ deploy_gitea_unit() {
systemctl --user restart "$service.service"
}
# The root units are symlinks from the systemd system directory into the
# checkout. SYSTEMD_SYSTEM_DIR is production (/etc/systemd/system); the knob
# exists so the deploy seam can run a whole handler — relink included — in a
# sandbox and read the unit links as evidence, unprivileged.
SYSTEMD_SYSTEM_DIR="${SYSTEMD_SYSTEM_DIR:-/etc/systemd/system}"
relink_unit() {
local service="$1"
run_privileged ln -sfn "$REMOTE_DIR/scripts/$service.service" "/etc/systemd/system/$service.service"
run_privileged ln -sfn "$REMOTE_DIR/scripts/$service.service" "$SYSTEMD_SYSTEM_DIR/$service.service"
}
# Authentik runs as three boot-persistent Quadlet units (postgres -> server ->
@@ -936,17 +926,17 @@ deploy_plex() {
systemctl --user restart plex.service
# Readiness gate: /identity answers MediaContainer XML once PMS is up.
#
# HTTPS, NOT HTTP. PMS drops plain HTTP off-loopback: the probe's
# connection arrives on the container's eth0, so an http:// request is
# 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 law is why the Caddyfile dials the
# plex upstream over TLS (tests/caddyfile.bats pins it).
# HTTPS, NOT HTTP. PMS serves plain HTTP on loopback only: a probe
# arriving on the container's interface gets its connection accepted and
# then an empty reply (curl 52) from a perfectly healthy server, so an
# http:// probe would burn the whole timeout and fail a service that
# answers https://127.0.0.1:32400/identity in milliseconds. The Caddyfile
# dials the same upstream over TLS for the same reason
# (tests/caddyfile.bats pins it).
# -k: PMS presents its own self-signed cert on 32400.
#
# Reality check from the 2026-09 cutover: the FIRST container boot of a
# years-old library ran ~10 min, so the gate still allows 600s.
# The budget accounts for a first boot of a large pre-existing library,
# which spends minutes indexing before it answers anything.
# Fail the deploy (pending state preserved) rather than mark it deployed blind.
for ((i = 1; i <= 120; i++)); do
curl -fsSk --max-time 3 https://127.0.0.1:32400/identity >/dev/null && return 0
@@ -1086,21 +1076,21 @@ deploy_anubis() {
wait_container_healthy anubis 60 || return 1
}
# frank-large is the halogen-flash-server CONTAINER (0.16.2, digest-pinned
# through scripts/frank-large.env) serving the Quat3rnion ABLITERATED
# frank-dragoon is the halogen-flash-server CONTAINER (0.16.2, digest-pinned
# through scripts/frank-dragoon.env) serving the Quat3rnion ABLITERATED
# Swift1.5 finetune of peonist's Qwen3.8-Flash-Next v2 checkpoint —
# qwen38-flash-next-v2-swift15-abliterated.hgn (66,687,678,464 B, ~62 GiB
# resident) + the REQUIRED n-gram lookup table + the vision tower —
# MTP spec decode (HALOGEN_SPEC_ADAPT=0), 2 slots x 200192, image input —
# on the Strix Halo iGPU. It stays a ROOT unit because the serve script
# drives `podman run` directly (the frank-primary pattern): relink_unit
# points /etc/systemd/system/frank-large.service at the repo file, boot
# drives `podman run` directly (the frank-archon pattern): relink_unit
# points /etc/systemd/system/frank-dragoon.service at the repo file, boot
# persistence is that unit's [Install], and LimitMEMLOCK=infinity is
# fleet parity. 2026-10-06 cutover from the halogen 27B-dense shape —
# rollback = revert the swap commit's trio; the 27B payload stays on
# disk (~/models/halogen-qwen3.8-27b).
#
# The gates mirror serve-frank-large.sh's predicates EXACTLY (the
# The gates mirror serve-frank-dragoon.sh's predicates EXACTLY (the
# 2026-10-01 crash-loop lesson): image digest in dank's podman storage,
# each .hgn payload (checkpoint, n-gram table, vision tower) at the exact
# byte count, the tokenizer directory holding every named file as a
@@ -1108,24 +1098,19 @@ deploy_anubis() {
# artifact would leave a restart-looping unit and a dark endpoint. The
# port gate is the same as every cutover since 2026-09-16: nothing
# starts until 7770 is released.
LLM_LARGE_IMAGE="${LLM_LARGE_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a}"
LLM_LARGE_CKPT="${LLM_LARGE_CKPT:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-v2-swift15-abliterated.hgn}"
LLM_LARGE_CKPT_BYTES="${LLM_LARGE_CKPT_BYTES:-66687678464}"
LLM_LARGE_NGRAM="${LLM_LARGE_NGRAM:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-ngram.hgn}"
LLM_LARGE_NGRAM_BYTES="${LLM_LARGE_NGRAM_BYTES:-51200246144}"
LLM_LARGE_VISION="${LLM_LARGE_VISION:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-vision.hgn}"
LLM_LARGE_VISION_BYTES="${LLM_LARGE_VISION_BYTES:-897916416}"
LLM_LARGE_TOK_DIR="${LLM_LARGE_TOK_DIR:-/home/dank/models/halogen-flashnext-v2/tokenizer}"
LLM_LARGE_TOK_FILES="${LLM_LARGE_TOK_FILES:-tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json}"
LLM_DRAGOON_IMAGE="${LLM_DRAGOON_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a}"
LLM_DRAGOON_CKPT="${LLM_DRAGOON_CKPT:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-v2-swift15-abliterated.hgn}"
LLM_DRAGOON_CKPT_BYTES="${LLM_DRAGOON_CKPT_BYTES:-66687678464}"
LLM_DRAGOON_NGRAM="${LLM_DRAGOON_NGRAM:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-ngram.hgn}"
LLM_DRAGOON_NGRAM_BYTES="${LLM_DRAGOON_NGRAM_BYTES:-51200246144}"
LLM_DRAGOON_VISION="${LLM_DRAGOON_VISION:-/home/dank/models/halogen-flashnext-v2/qwen38-flash-next-vision.hgn}"
LLM_DRAGOON_VISION_BYTES="${LLM_DRAGOON_VISION_BYTES:-897916416}"
LLM_DRAGOON_TOK_DIR="${LLM_DRAGOON_TOK_DIR:-/home/dank/models/halogen-flashnext-v2/tokenizer}"
LLM_DRAGOON_TOK_FILES="${LLM_DRAGOON_TOK_FILES:-tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json}"
retire_halogen_large_quadlet() {
local trash="$HOME/.AGENTTRASH/20260919-orca-cutover/quadlet"
systemctl --user stop frank-large.service 2>/dev/null || true
if [[ -e "$quadlet_unit_dir/frank-large.container" ]]; then
mkdir -p "$trash"
mv -- "$quadlet_unit_dir/frank-large.container" "$trash/frank-large.container"
echo "retired quadlet frank-large.container -> $trash"
fi
retire_halogen_dragoon_quadlet() {
retire_unit_file "$quadlet_unit_dir/frank-dragoon.container" \
"$HOME/.AGENTTRASH/20260919-orca-cutover/quadlet" frank-dragoon.service
systemctl --user daemon-reload
}
@@ -1147,186 +1132,159 @@ wait_port_free() {
ss -tan "sport = :$port" >&2 || true
return 1
}
# assert_unit_owns_port SERVICE PORT — the false-green gate every LLM
# endpoint shares. A health answer proves the PORT replied, never WHO
# replied: on 2026-09-26 a leftover probe held :7770, satisfied the curl,
# and the deploy reported green over a stopped unit. Green requires the
# unit's own MainPID to be alive behind the answer.
assert_unit_owns_port() {
local service="$1" port="$2" main_pid
main_pid="$(run_privileged systemctl show -p MainPID --value "$service.service")"
if [[ -z "$main_pid" || "$main_pid" == "0" ]]; then
echo "FAIL: :$port answered but $service.service has no MainPID — a stray process holds the port" >&2
return 1
fi
echo "$service: health answered by unit MainPID $main_pid"
}
deploy_llm_large() {
# Refuse rather than restart-loop; every gate below has a twin in
# serve-frank-large.sh and they must agree (2026-10-01 lesson).
# Capture podman output before grepping: `podman images | grep -q`
# races under pipefail (SIGPIPE 141 becomes "no match", 2026-09-30).
if ! grep -qF "${LLM_LARGE_IMAGE#*@}" <<<"$(podman images --format '{{.RepoDigests}}' 2>/dev/null)"; then
echo "ERROR: halogen image absent: $LLM_LARGE_IMAGE" >&2
echo "frank-large: pull it: podman pull ${LLM_LARGE_IMAGE%@*}" >&2
return 1
fi
if [[ ! -f "$LLM_LARGE_CKPT" ]]; then
echo "ERROR: halogen checkpoint absent at $LLM_LARGE_CKPT" >&2
echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
return 1
fi
if [[ "$(stat -c %s "$LLM_LARGE_CKPT")" != "$LLM_LARGE_CKPT_BYTES" ]]; then
echo "ERROR: halogen checkpoint is not $LLM_LARGE_CKPT_BYTES bytes (partial download?)" >&2
echo "frank-large: re-check: bash scripts/download-frank-large-flashnext.sh --verify-only" >&2
return 1
fi
for gate in "$LLM_LARGE_NGRAM:$LLM_LARGE_NGRAM_BYTES:n-gram table" \
"$LLM_LARGE_VISION:$LLM_LARGE_VISION_BYTES:vision tower"; do
IFS=: read -r gpath gbytes gname <<<"$gate"
if [[ ! -f "$gpath" ]]; then
echo "ERROR: halogen $gname absent at $gpath" >&2
echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
return 1
fi
if [[ "$(stat -c %s "$gpath")" != "$gbytes" ]]; then
echo "ERROR: halogen $gname is not $gbytes bytes (partial download?)" >&2
echo "frank-large: re-check: bash scripts/download-frank-large-flashnext.sh --verify-only" >&2
return 1
fi
done
if [[ -L "$LLM_LARGE_TOK_DIR" || ! -d "$LLM_LARGE_TOK_DIR" ]]; then
echo "ERROR: tokenizer dir missing or a symlink at $LLM_LARGE_TOK_DIR" >&2
echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
return 1
fi
for tf in $LLM_LARGE_TOK_FILES; do
if [[ ! -f "$LLM_LARGE_TOK_DIR/$tf" || -L "$LLM_LARGE_TOK_DIR/$tf" ]]; then
echo "ERROR: tokenizer file missing or a symlink: $LLM_LARGE_TOK_DIR/$tf" >&2
echo "frank-large: fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
return 1
fi
done
# start_root_unit — the tail every LLM root unit deploys: relink the unit
# file from the checkout into /etc/systemd/system, (re)enable, restart,
# wait for /health, and prove the answer came from the unit's own process.
# The three endpoints differ in gates, ports, and budgets, never in this.
start_root_unit() {
local service="$1" port="$2" health_limit="$3"
relink_unit "$service"
run_privileged systemctl daemon-reload
run_privileged systemctl enable "$service.service"
run_privileged systemctl restart "$service.service"
wait_for_health "$service" "http://127.0.0.1:${port}/health" "$health_limit" || return 1
assert_unit_owns_port "$service" "$port"
}
retire_halogen_large_quadlet
deploy_llm_dragoon() {
# Refuse rather than restart-loop; every gate here is the SAME library
# call the serve script makes, so the two twins cannot drift (the
# 2026-10-01 crash-loop lesson).
# Capture podman output before grepping is moot: require_image is one
# command, no pipe (the 2026-09-30 SIGPIPE lesson).
export GATE_PREFIX=frank-dragoon
require_image "$LLM_DRAGOON_IMAGE" \
"pull it: podman pull docker://${LLM_DRAGOON_IMAGE%@*}" || return 1
require_bytes "$LLM_DRAGOON_CKPT" checkpoint "$LLM_DRAGOON_CKPT_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh; re-check: --verify-only" || return 1
require_bytes "$LLM_DRAGOON_NGRAM" n-gram "$LLM_DRAGOON_NGRAM_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh; re-check: --verify-only" || return 1
require_bytes "$LLM_DRAGOON_VISION" vision "$LLM_DRAGOON_VISION_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh; re-check: --verify-only" || return 1
# shellcheck disable=SC2086
require_dir_files "$LLM_DRAGOON_TOK_DIR" tokenizer \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh" \
$LLM_DRAGOON_TOK_FILES || return 1
retire_halogen_dragoon_quadlet
# The predecessor on a re-deploy is THIS unit: stop it (ExecStop stops
# the container) before waiting on the port. The stray sweep is keyed
# on the FULL container name, which appears in the argv of a manual
# `podman run --name frank-large-halogen` / `podman wait` but NOT in
# this deployer's own command line (`bash deploy-remote.sh
# frank-large`) — so it cannot shoot itself in the foot (the fleet
# pkill law), and it can never match frank-secondary's llama-server.
run_privileged systemctl stop frank-large.service 2>/dev/null || true
pkill -f 'frank-large-halogen' 2>/dev/null || true
podman rm -f frank-large frank-large-halogen >/dev/null 2>&1 || true
# on the FULL container name: it appears in the argv of a manual
# `podman run --name frank-dragoon-halogen` / `podman wait`, while a
# pattern naming only the runtime would ALSO match this deployer's own
# command line — a pkill whose pattern hits its own argv takes the
# running deploy down with the target. The full name can never match
# frank-zealot's llama-server either.
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
# Nothing may start until the predecessor has released the port
# (2026-09-16: "Deactivated successfully" was not "port free").
wait_port_free 7770 || return 1
relink_unit frank-large
run_privileged systemctl daemon-reload
run_privileged systemctl enable frank-large.service
run_privileged systemctl restart frank-large.service
wait_for_health frank-large http://127.0.0.1:7770/health 1200
start_root_unit frank-dragoon 7770 1200
}
# deploy_llm_secondary — frank-secondary is llama.cpp (master build, CUDA sm_86) on
# deploy_llm_zealot — frank-zealot is llama.cpp (master build, CUDA sm_86) on
# the RTX 3090 as a ROOT unit: the runtime is a native binary tree under
# ~/GitPackages/llama-master/build-cuda, so there is no container image and
# no generated unit to avoid. relink_unit points
# /etc/systemd/system/frank-secondary.service at the repo file and boot
# /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-large keeps 7770. The 3090 is
# not shared: frank-large's engine runs on the gfx1151 iGPU.
LLM_SECONDARY_MODEL_FILE="${LLM_SECONDARY_MODEL_FILE:-/home/dank/models/Swift15-UncIQ3XXS/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf}"
LLM_SECONDARY_RUNTIME="${LLM_SECONDARY_RUNTIME:-/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
# The projector IS the vision capability here: the GGUF carries no vision
# tensors, and the publisher ships mmproj-BF16.gguf in the same repo, so a
# deploy that starts without this file silently ships a text-only
# endpoint. Checked unconditionally, like frank-large's.
LLM_SECONDARY_MMPROJ="${LLM_SECONDARY_MMPROJ:-/home/dank/models/Swift15-UncIQ3XXS/mmproj-BF16.gguf}"
# 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="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"
deploy_llm_secondary() {
deploy_llm_zealot() {
# Refuse rather than restart-loop: a unit whose runtime or payload is
# missing never becomes healthy, and a green deploy would leave the
# endpoint dark with nothing in the log to say why.
if [[ ! -x "$LLM_SECONDARY_RUNTIME" ]]; then
echo "ERROR: llama.cpp runtime absent at $LLM_SECONDARY_RUNTIME" >&2
echo "frank-secondary: build it (cmake -B build-cuda -DGGML_CUDA=ON" >&2
echo "frank-secondary: -DCMAKE_CUDA_ARCHITECTURES=86 -DCMAKE_CUDA_HOST_COMPILER=/usr/bin/gcc-13" >&2
echo "frank-secondary: && cmake --build build-cuda --target llama-server) first." >&2
return 1
fi
for f in "$LLM_SECONDARY_MODEL_FILE" "$LLM_SECONDARY_MMPROJ"; do
if [[ ! -f "$f" ]]; then
echo "ERROR: frank-secondary payload file absent at $f" >&2
echo "frank-secondary: run scripts/download-frank-secondary.sh first;" >&2
echo "frank-secondary: refusing to start a unit that cannot load." >&2
return 1
fi
done
relink_unit frank-secondary
run_privileged systemctl daemon-reload
run_privileged systemctl enable frank-secondary.service
run_privileged systemctl restart frank-secondary.service
wait_for_health frank-secondary http://127.0.0.1:7771/health 900 || return 1
# False-green hardening (frank-large's lesson): the port answering
# proves nothing about WHO answers — the unit must be active with a
# live MainPID, or a stray SGLang holdover is masquerading as deployed.
local main_pid
main_pid="$(run_privileged systemctl show -p MainPID --value frank-secondary.service)"
if [[ -z "$main_pid" || "$main_pid" == "0" ]]; then
echo "FAIL: :7771 answered but frank-secondary.service has no MainPID — a stray process holds the port" >&2
return 1
fi
echo "frank-secondary: health answered by unit MainPID $main_pid"
# endpoint dark with nothing in the log to say why. Same library calls
# as serve-frank-zealot.sh, so the deployer's twin refuses identically.
export GATE_PREFIX=frank-zealot
require_exec "$LLM_ZEALOT_RUNTIME" runtime \
"build it: cmake -B build-cuda -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=86" \
|| return 1
require_file "$LLM_ZEALOT_MODEL_FILE" gguf \
"fetch it: bash scripts/download-frank-zealot.sh" || return 1
require_file "$LLM_ZEALOT_MMPROJ" mmproj \
"fetch it: bash scripts/download-frank-zealot.sh" || return 1
start_root_unit frank-zealot 7771 900
}
# deploy_llm_primary — frank-primary is the radiance engine (StillDeadcode,
# 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
# ROOT unit whose serve script drives `podman run` directly (the engine is
# the image entrypoint; the image lives in dank's rootless podman storage).
# 2026-10-05 cutover from FreeToken (pre-cutover tag
# frank-primary-freetoken-pr587-20261005); before that, the tcclaviger vLLM
# fork (tag frank-primary-vllm-shapeG-20261003). Same port and alias; the
# frank-archon-freetoken-pr587-20261005); before that, the tcclaviger vLLM
# fork (tag frank-archon-vllm-shapeG-20261003). Same port and alias; the
# harness models.yml id is unchanged.
#
# Gates: the image must exist under its digest ref in dank's rootless
# storage (FRANK_PRIMARY_IMAGE), the .rad container file must exist at the
# env's size floor (FRANK_PRIMARY_MODEL_FILE >= FRANK_PRIMARY_RAD_MIN_MIB —
# 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
# 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.
LLM_PRIMARY_CONTAINER=frank-primary
LLM_PRIMARY_LEGACY_CONTAINERS="frank-primary-qwen frank-primary-r9v qwen-fp8 glm-probe"
LLM_ARCHON_CONTAINER=frank-archon
LLM_ARCHON_LEGACY_CONTAINERS="frank-archon-qwen frank-archon-r9v qwen-fp8 glm-probe"
deploy_llm_primary() {
deploy_llm_archon() {
# Refuse rather than restart-loop: a unit whose image or payload is
# missing never becomes healthy, and a green deploy would leave the
# endpoint dark with nothing in the log to say why.
local env_file="/home/dank/serverAppConfigs/scripts/frank-primary.env"
local image model_dir model_file rad_min mib
# endpoint dark with nothing in the log to say why. The gates are the
# shared library's, called with the values the unit's own env file
# declares — so serve-frank-archon.sh and this handler cannot disagree,
# and the payload path lives in exactly one file.
export GATE_PREFIX=frank-archon
local env_file="${LLM_ARCHON_ENV_FILE:-$REMOTE_DIR/scripts/frank-archon.env}"
local image model_dir model_file rad_min
if [[ ! -f "$env_file" ]]; then
echo "ERROR: frank-primary env file absent: $env_file" >&2
echo "frank-archon: env: missing at $env_file" >&2
echo " hint: deploy the repo checkout first ($REMOTE_DIR)" >&2
return 1
fi
image="$(sed -n 's/^FRANK_PRIMARY_IMAGE=//p' "$env_file" | tail -1)"
model_dir="$(sed -n 's/^FRANK_PRIMARY_MODEL_DIR=//p' "$env_file" | tail -1)"
model_file="$(sed -n 's/^FRANK_PRIMARY_MODEL_FILE=//p' "$env_file" | tail -1)"
rad_min="$(sed -n 's/^FRANK_PRIMARY_RAD_MIN_MIB=//p' "$env_file" | tail -1)"
image="$(sed -n 's/^FRANK_ARCHON_IMAGE=//p' "$env_file" | tail -1)"
model_dir="$(sed -n 's/^FRANK_ARCHON_MODEL_DIR=//p' "$env_file" | tail -1)"
model_file="$(sed -n 's/^FRANK_ARCHON_MODEL_FILE=//p' "$env_file" | tail -1)"
rad_min="$(sed -n 's/^FRANK_ARCHON_RAD_MIN_MIB=//p' "$env_file" | tail -1)"
if [[ -z "$image" || -z "$model_dir" || -z "$model_file" || -z "$rad_min" ]]; then
echo "ERROR: frank-primary.env missing FRANK_PRIMARY_IMAGE/MODEL_DIR/MODEL_FILE/RAD_MIN_MIB" >&2
return 1
fi
# The image gate is the digest ref itself: a name@sha256 ref exists in
# storage only if THAT manifest was pulled. One command — no
# pipefail/grep race (the 2026-09-30 lesson).
if ! podman image exists "$image"; then
echo "ERROR: runtime image absent from storage: $image" >&2
echo "frank-primary: podman pull docker://stilldeadcode/radiance:latest" >&2
return 1
fi
if [[ ! -f "$model_dir/$model_file" ]]; then
echo "ERROR: .rad container missing: $model_dir/$model_file" >&2
echo "frank-primary: run scripts/build-frank-primary-rad.sh" >&2
return 1
fi
mib=$(( $(stat -c %s "$model_dir/$model_file") / 1048576 ))
if [[ "$mib" -lt "$rad_min" ]]; then
echo "ERROR: .rad container too small: $model_dir/$model_file is ${mib} MiB, want >= $rad_min" >&2
echo "frank-primary: rebuild it (scripts/build-frank-primary-rad.sh --force)" >&2
echo "frank-archon: env: missing FRANK_ARCHON_IMAGE/MODEL_DIR/MODEL_FILE/RAD_MIN_MIB" >&2
echo " hint: scripts/frank-archon.env" >&2
return 1
fi
require_image "$image" \
"pull it: podman pull docker://stilldeadcode/radiance:latest (as dank)" \
|| return 1
require_min_mib "$model_dir/$model_file" ".rad" "$rad_min" \
"convert it: scripts/convert-swift15-w4dn8.sh (rad-info is the record)" \
|| return 1
# A stale container with the same name makes `podman run --name` fail at
# start; remove any leftover from a failed previous attempt.
@@ -1336,50 +1294,24 @@ deploy_llm_primary() {
# The legacy identities (the retired R9V container, the ad hoc
# experiment container qwen-fp8, the retired glm-probe) hold the same
# GPUs and die here too.
run_privileged systemctl stop frank-primary.service 2>/dev/null || true
run_privileged systemctl stop frank-archon.service 2>/dev/null || true
local ctr
for ctr in $LLM_PRIMARY_LEGACY_CONTAINERS "$LLM_PRIMARY_CONTAINER"; do
for ctr in $LLM_ARCHON_LEGACY_CONTAINERS "$LLM_ARCHON_CONTAINER"; do
podman rm -f "$ctr" >/dev/null 2>&1 || true
done
# Nothing starts until the port is released: the lucebox cutover
# (2026-09-26) and the frank-large cutover (2026-09-16) both failed
# (2026-09-26) and the frank-dragoon cutover (2026-09-16) both failed
# exactly here when the next engine bound 7770 a second too early.
wait_port_free 7770 || return 1
relink_unit frank-primary
run_privileged systemctl daemon-reload
run_privileged systemctl enable frank-primary.service
run_privileged systemctl restart frank-primary.service
# Cold start: .rad load + PLE pin + expert host-pool upload (the
# publisher's compose healthcheck allows a 15-minute start_period).
# Parity with every predecessor on this port. The HTTP listener binds
# AFTER the full load (main.cpp: engine.start() then engine.serve()),
# so during load the port REFUSES connections — a bare curl is honest
# here, unlike FreeToken's 200-while-loading body. (The MainPID check
# below still guards the stray-port case.)
local i ok=0
for ((i=1; i<=900; i++)); do
if curl -fsS http://127.0.0.1:7770/health 2>/dev/null >/dev/null; then
echo "frank-primary engine healthy after approximately $((i * 2))s"
ok=1
break
fi
sleep 2
done
if [[ "$ok" != 1 ]]; then
echo "FAIL: frank-primary /health never answered 200 in 1800s" >&2
return 1
fi
# False-green hardening (the 2026-09-26 lesson): a bare curl against the
# port cannot tell WHO answers — a stray probe holding :7770 satisfies
# it while the unit is stopped. The deploy is only green if the unit
# itself is active with a live MainPID behind the health answer.
local main_pid
main_pid="$(run_privileged systemctl show -p MainPID --value frank-primary.service)"
if [[ -z "$main_pid" || "$main_pid" == "0" ]]; then
echo "FAIL: :7770 answered but frank-primary.service has no MainPID — a stray process holds the port" >&2
return 1
fi
echo "frank-primary: health answered by unit MainPID $main_pid"
# publisher's compose healthcheck allows a 15-minute start_period) —
# the 900-iteration budget is 1800s, parity with every predecessor on
# this port. The HTTP listener binds AFTER the full load (main.cpp:
# engine.start() then engine.serve()), so during load the port REFUSES
# connections — a bare curl is honest here, unlike FreeToken's
# 200-while-loading body. (start_root_unit's MainPID check still
# guards the stray-port case.)
start_root_unit frank-archon 7770 900
}
wait_for_health() {
@@ -1566,9 +1498,9 @@ deploy_service() {
anubis) deploy_anubis ;;
seerr) deploy_seerr ;;
marreta) deploy_marreta ;;
frank-large) deploy_llm_large ;;
frank-secondary) deploy_llm_secondary ;;
frank-primary) deploy_llm_primary ;;
frank-dragoon) deploy_llm_dragoon ;;
frank-zealot) deploy_llm_zealot ;;
frank-archon) deploy_llm_archon ;;
hermes|hermes-dashboard|hermes-webui) deploy_hermes ;;
romm|romm-mariadb|romm-redis|mariadb|redis) deploy_romm_stack "$service" ;;
jellyfin) deploy_jellyfin ;;
@@ -1579,7 +1511,12 @@ deploy_service() {
tautulli) deploy_tautulli ;;
prometheus|grafana|loki|alloy|node-exporter|alertmanager) deploy_observability "$service" ;;
comfyui) deploy_comfyui ;;
*) deploy_compose_service "$service" ;;
*)
# Every deployable service on every target has a handler above
# (inventory = allow-list, so nothing unreachable arrives).
echo "no handler for service: $service" >&2
exit 2
;;
esac
}
+8 -26
View File
@@ -35,7 +35,7 @@ Options:
Examples:
./scripts/deploy.sh dankclaw
./scripts/deploy.sh dankclaw --service searxng
./scripts/deploy.sh dankserver --service frank-primary
./scripts/deploy.sh dankserver --service frank-archon
./scripts/deploy.sh dankclaw --dry-run
EOF
}
@@ -131,31 +131,13 @@ else
fi
valid_service() {
local service="$1"
case "$TARGET:$service" in
dankclaw:caddy|dankclaw:gluetun|dankclaw:searxng-network|dankclaw:searxng-valkey|\
dankclaw:searxng|dankclaw:marreta|dankclaw:pihole|dankclaw:open-webui|dankclaw:gitea-postgres|\
dankclaw:gitea-server|dankclaw:homepage|\
dankclaw:comfyui|dankclaw:hermes|dankclaw:hermes-dashboard|\
dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|dankclaw:loki|dankclaw:alloy|\
dankclaw:alertmanager|\
dankclaw:node-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|dankclaw:seerr|\
dankclaw:frank-large|dankclaw:frank-secondary|\
dankserver:romm-mariadb|dankserver:romm-redis|dankserver:romm|\
dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
dankserver:qbittorrent|dankserver:radarr|dankserver:sonarr|\
dankserver:lidarr|dankserver:readarr|dankserver:node-exporter|\
dankserver:frank-primary|\
frankbook-pro:gluetun|frankbook-pro:qbittorrent|frankbook-pro:prowlarr|\
frankbook-pro:radarr|frankbook-pro:sonarr|frankbook-pro:lidarr|\
frankbook-pro:readarr)
return 0
;;
*)
return 1
;;
esac
# The inventory is the only allow-list (see scripts/service-map.py);
# service-map's "allows" exit code is the answer. The former literal
# case list here drifted from reality (it still listed the *arr stack
# under dankserver, which moved to frankbook-pro, and a
# "searxng-network" name that is a generated systemd unit, not a
# deployable service).
python3 "$REPO_ROOT/scripts/service-map.py" allows --host "$TARGET" --service "$1" >/dev/null
}
for service in "${EXPLICIT_SERVICES[@]}"; do
+117
View File
@@ -0,0 +1,117 @@
#!/usr/bin/env python3
"""derive-protected-experts.py — rewrite the recipe's protected-expert section
from a calibration recording. RUNS ON DANKSERVER (venv: numpy).
The selection rule (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
as two equal tables by parity) — an odd half gains its next most energetic
non-qualifying expert.
Data: the calibration dir's per-expert down Grams,
gram.r<rank>.blk.L.ffn_down_exps.<e>.bin — 32-byte RADGRAM2 header
(magic, k, rank, rows, domain) then k*k f32, named with the checkpoint's
GLOBAL expert numbering (arch/common/rad_block_moe_fp8.h: ge =
expert_base + e). rows (header) is the expert's routing count; the trace
of the Gram is its down-input energy. Rank halves: 0-255, 256-511
(contiguous expert_base split at TP=2).
Output: the cast-rule lines (recipe format) on stdout, a report on stderr.
Usage: derive-protected-experts.py <calib dir> [--min-share 0.03]
[--min-route-mult 3.0]
"""
import argparse
import glob
import os
import re
import struct
import sys
import numpy as np
NAME_RE = re.compile(r"^gram\.r(\d)\.blk\.(\d+)\.ffn_down_exps\.(\d+)\.bin$")
def read_gram(path):
"""(k, rank, rows, trace) from a RADGRAM2 file (full matrix on disk)."""
with open(path, "rb") as f:
hdr = f.read(32)
magic, k, rank, rows, domain = struct.unpack("<8sIIQI", hdr[:28])
if magic != b"RADGRAM2":
raise SystemExit(f"not a RADGRAM2 file: {path}")
n = k * k
a = np.frombuffer(f.read(n * 4), dtype=np.float32)
if a.size != n:
raise SystemExit(f"short gram file: {path}")
tr = float(a.reshape(k, k).diagonal().sum())
return k, rank, int(rows), tr
def main():
ap = argparse.ArgumentParser()
ap.add_argument("calib_dir")
ap.add_argument("--min-share", type=float, default=0.03)
ap.add_argument("--min-route-mult", type=float, default=3.0)
a = ap.parse_args()
# layer -> global expert -> (rank, rows, energy)
data = {}
for path in sorted(glob.glob(os.path.join(
a.calib_dir, "gram.r*.ffn_down_exps.*.bin"))):
m = NAME_RE.match(os.path.basename(path))
if not m:
continue
rank, layer, expert = int(m.group(1)), int(m.group(2)), int(m.group(3))
k, _, rows, tr = read_gram(path)
data.setdefault(layer, {})[expert] = (rank, rows, tr)
if not data:
raise SystemExit("no per-expert down grams found")
lines, report = [], []
total = 0
for layer in sorted(data):
experts = data[layer]
tot_e = sum(v[2] for v in experts.values())
tot_r = sum(v[1] for v in experts.values())
if tot_e <= 0 or tot_r <= 0:
report.append(f"blk.{layer}: empty recording, skipped")
continue
qual, pool = [], []
for e, (rank, rows, tr) in experts.items():
es, rs = tr / tot_e, rows / max(tot_r, 1)
rec = (e, rank, es, rs)
if es >= a.min_share and es >= a.min_route_mult * rs:
qual.append(rec)
elif es > 0:
pool.append(rec)
chosen = {r[0]: (r[2], r[3]) for r in qual}
for half in (0, 1): # rank halves by the contiguous expert_base split
n_half = sum(1 for e in chosen if e // 256 == half)
if n_half % 2:
pool.sort(key=lambda r: -r[2])
for cand in pool:
if cand[1] == half and cand[0] not in chosen:
chosen[cand[0]] = (cand[2], cand[3])
report.append(
f"blk.{layer}: half {half} odd -> added e{cand[0]} "
f"(energy {cand[2]*100:.2f}%)")
break
for e in sorted(chosen):
es, rs = chosen[e]
lines.append(f"blk.{layer}.ffn_*_exps.{e}.weight"
f" cast dtype=bf16")
report.append(f"blk.{layer} e{e:3d} (rank {e // 256}): "
f"energy {es*100:5.2f}%, routing {rs*100:5.3f}%, "
f"ratio {es/max(rs,1e-12):6.1f}")
total += len(chosen)
print("\n".join(lines))
print("\n".join(report), file=sys.stderr)
print(f"total protected: {total}", file=sys.stderr)
if __name__ == "__main__":
main()
+114
View File
@@ -0,0 +1,114 @@
#!/usr/bin/env bash
# download-frank-archon-swift15.sh — payload fetch/verify for the planned
# frank-archon swap to the Swift 1.5 finetune: ukisai/Swift1.5-Qwen3.8-Flash-Next
# (BF16 source, 149 files, 360,037,355,038 bytes = 335.3 GiB: 131 safetensors
# shards + weight-map index + tokenizer + vision preprocessing configs + chat
# template + licenses). Key set verified identical to the official
# Qwen/Qwen3.8-Flash-Next base (0 added / 0 missing), so the qwen4exp recipes
# apply verbatim; the checkpoint ships BF16 with NO quantization_config.
# Repo is UNGATED — no token needed (never put one on the command line).
#
# bash scripts/download-frank-archon-swift15.sh --fetch resume/complete
# bash scripts/download-frank-archon-swift15.sh verify only
#
# 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) is three independent agreements: every listed file
# present with the listed size (catches truncation), the shard count
# matching the weight-map index (catches omissions), and every shard's
# sha256 equal to the Hub's LFS oid (catches substituted content).
# Verify needs only the public API.
set -euo pipefail
REPO="ukisai/Swift1.5-Qwen3.8-Flash-Next"
DEST="/home/dank/models/ukisai/Swift1.5-Qwen3.8-Flash-Next"
EXPECTED_SHARDS=131
mode="verify"
[[ "${1:-}" == "--fetch" ]] && mode="fetch"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if [[ "$mode" == "fetch" ]]; then
# HFGET_JOBS=4 is hfget's default (a few streams saturate the link).
bash "$SCRIPT_DIR/hfget.sh" "$REPO" "$DEST" main
fi
echo "verifying local payload: $DEST"
fail=0
INDEX="$DEST/model.safetensors.index.json"
if [[ ! -f "$INDEX" ]]; then
echo " BAD weight-map index missing: $INDEX" >&2
exit 1
fi
python3 - "$REPO" "$DEST" <<'PY' || fail=1
import hashlib, json, os, sys, urllib.request
repo, dest = sys.argv[1], sys.argv[2]
def listing():
"""The tree API, following the Link cursor exactly like hfget.sh."""
out, api, pages = [], (
f"https://huggingface.co/api/models/{repo}/tree/main"
"?recursive=true&expand=true"), 0
while api:
with urllib.request.urlopen(api) as r:
out += json.load(r)
api = None
link = r.headers.get("Link", "")
for part in link.split(","):
if 'rel="next"' in part:
api = part[part.find("<") + 1:part.find(">")]
pages += 1
if pages > 200:
raise SystemExit("listing did not terminate")
return out
files = [e for e in listing() if e.get("type") == "file"]
sizes = {e["path"]: e.get("size", 0) for e in files}
lfs = {e["path"]: e["lfs"]["oid"] for e in files if e.get("lfs")}
bad = 0
for path, want in sorted(sizes.items()):
p = os.path.join(dest, path)
if not os.path.isfile(p):
print(f" BAD {path}: missing")
bad += 1
elif os.path.getsize(p) != want:
print(f" BAD {path}: {os.path.getsize(p)} bytes, listing says {want}")
bad += 1
print(f" {'OK' if bad == 0 else 'FAIL'}: {len(sizes) - bad}/{len(sizes)} files present at listed size")
if bad:
raise SystemExit(1)
# Shard set against the weight-map index.
wm = json.load(open(os.path.join(dest, "model.safetensors.index.json")))["weight_map"]
shards = sorted(set(wm.values()))
print(f" index maps {len(wm)} tensors across {len(shards)} shards")
if len(shards) != 131:
print(f" BAD shard count {len(shards)}, want 131")
raise SystemExit(1)
# Content: every LFS-tracked file hashed against the Hub oid. The safetensors
# shards dominate the bytes; tokenizer/config files ride the same check when
# the Hub tracks them in LFS (they are plain blobs here, already size-checked).
todo = [p for p in shards if p in lfs]
for i, path in enumerate(todo):
h = hashlib.sha256()
with open(os.path.join(dest, path), "rb") as f:
for chunk in iter(lambda: f.read(1 << 24), b""):
h.update(chunk)
if h.hexdigest() != lfs[path]:
print(f" BAD {path}: sha256 mismatch (want {lfs[path]})")
bad += 1
if (i + 1) % 16 == 0:
print(f" ...hashed {i + 1}/{len(todo)}")
print(f" {'OK' if bad == 0 else 'FAIL'}: {len(todo) - bad}/{len(todo)} shards sha256-match the Hub")
if bad:
raise SystemExit(1)
PY
[[ "$fail" -eq 0 ]] || exit 1
echo "payload verified: 131 shards + index + tokenizer + configs, sizes and sha256 checked"
@@ -1,21 +1,22 @@
#!/usr/bin/env bash
# download-frank-primary.sh — payload fetch/verify for frank-primary:
# download-frank-archon.sh — payload fetch/verify for frank-archon:
# the OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint (131 safetensors
# shards + weight-map index + tokenizer + vision preprocessing configs,
# ~172.8 GB). 2026-10-05: replaces the orcarouter uncensored payload of the
# FreeToken era (that script lived here; its repo was gated and needed
# HF_TOKEN — this one is UNGATED and needs no token at all).
#
# bash scripts/download-frank-primary.sh --fetch resume/complete
# bash scripts/download-frank-primary.sh verify only
# bash scripts/download-frank-archon.sh --fetch resume/complete
# bash scripts/download-frank-archon.sh verify only
#
# 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) 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.
# Verify (default) is three independent agreements: every listed file
# present with the listed size (catches truncation), the shard count
# matching the weight-map index (catches omissions), and every shard's
# sha256 equal to the Hub's LFS oid (catches substituted content).
# Verify needs only the public API.
set -euo pipefail
REPO="Qwen/Qwen3.8-Flash-Next-FP8"
@@ -1,15 +1,18 @@
#!/usr/bin/env bash
# download-frank-large-flashnext.sh — fetch frank-large's flash-server v2
# download-frank-dragoon-flashnext.sh — fetch frank-dragoon's flash-server v2
# payload: the Quat3rnion abliterated Swift1.5 checkpoint of peonist's v2
# .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 per the fleet secret law, none would ever touch argv.
# token needed — and a secret would never be passed via argv anyway: the
# command line is world-readable through /proc, so any token placed there
# leaks to every process-listing tool on the host.
#
# 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.
# The fetch rules, uniform across every sibling script: curl -f so an
# access error fails loudly instead of writing the error body as a
# "successful" tiny artifact; the exact byte count from the Hub tree API;
# LFS sha256 verification; --verify-only to re-check an existing payload
# without downloading.
#
# File manifest (verified against the Hub tree API on 2026-10-06):
# qwen38-flash-next-v2-swift15-abliterated.hgn 66,687,678,464 B sha256
@@ -26,10 +29,12 @@
# tokenizer/* @e053f488 — byte-identical to the 27B-era tokenizer
# already on disk (tokenizer.json LFS
# 0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3);
# fetched fresh rather than symlinked, per the no-symlink law.
# fetched fresh, never symlinked: a snapshot link points into the
# host-side cache directory, which does not exist inside the
# container mount, so the link dangles exactly where it is consumed.
set -euo pipefail
DEST="${FRANK_LARGE_MODEL_DIR:-$HOME/models/halogen-flashnext-v2}"
DEST="${FRANK_DRAGOON_MODEL_DIR:-$HOME/models/halogen-flashnext-v2}"
ABLIT="https://huggingface.co/Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated/resolve/main"
PEONIST="https://huggingface.co/peonist-ai/halogen-qwen3.8-flash-next/resolve"
NGRAM_REV="5cc17cea1a10b502b4a5db41d8d2b1a0f22dba26"
@@ -1,16 +1,18 @@
#!/usr/bin/env bash
# download-frank-large-halogen.sh — fetch frank-large's halogen payload:
# 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 per the fleet
# secret law, none would ever touch argv).
# PUBLIC peonist-ai/halogen-qwen3.8-27b repo (no token — and a token
# would never travel in argv: command lines are world-readable through
# /proc, so a secret placed there leaks to any process-listing tool).
#
# 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.
# The fetch rules, uniform across every sibling script: curl -f so an
# access error fails loudly instead of writing the error body as a
# "successful" tiny artifact; the exact byte count from the model card;
# LFS sha256 verification; --verify-only to re-check an existing payload
# without downloading.
set -euo pipefail
DEST="${FRANK_LARGE_MODEL_DIR:-$HOME/models/halogen-qwen3.8-27b}"
DEST="${FRANK_DRAGOON_MODEL_DIR:-$HOME/models/halogen-qwen3.8-27b}"
BASE="https://huggingface.co/peonist-ai/halogen-qwen3.8-27b/resolve/main"
FILES=(qwen3.8-27b-p1w4d-d2.hgn
@@ -1,6 +1,6 @@
#!/usr/bin/env bash
# Download kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF for
# frank-large (Dankclaw iGPU). Public repo — no auth header, and never a token
# frank-dragoon (Dankclaw iGPU). Public repo — no auth header, and never a token
# on the command line (it is world-readable in /proc/<pid>/cmdline).
#
# The payload is the repo's Q6 AGENT rung:
@@ -10,7 +10,7 @@
# names for MTP serving ("Take Q6 AGENT (114) if you want protected
# heads"). Like every ROCmFPX file it loads on nothing but the fork.
#
# The other two files frank-large needs are NOT re-downloaded:
# The other two files frank-dragoon needs are NOT re-downloaded:
# * mtp-Qwen3.8-27B-Q4_0.gguf — the uncensored repo redistributes the
# ALIGNED repo's draft head byte for byte (identical Hub LFS oid
# 051a1764…), so it is hardlinked out of the aligned payload dir when that
@@ -25,7 +25,7 @@
# byte count and the Hub LFS sha256. Idempotent: complete files are skipped.
#
# Usage:
# scripts/download-frank-large-kingjones-uncensored.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-dragoon-kingjones-uncensored.sh [DEST_DIR] [--verify-only]
set -euo pipefail
REPO="kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF"
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Download kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF for frank-large
# Download kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF for frank-dragoon
# (Dankclaw iGPU). Public repo — no auth header, and never a token on the
# command line (it is world-readable in /proc/<pid>/cmdline).
#
@@ -24,7 +24,7 @@
# come from the Hub LFS oids (api/models/<repo>/tree/main).
#
# Usage:
# scripts/download-frank-large-kingjones.sh [DEST_DIR] [--verify-only]
# scripts/download-frank-dragoon-kingjones.sh [DEST_DIR] [--verify-only]
set -euo pipefail
REPO="kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF"
@@ -1,9 +1,9 @@
#!/usr/bin/env bash
# Download and assemble jcbtc/Qwen3.8-Flash-CIRU-STRIX-Orca (the frank-large
# Download and assemble jcbtc/Qwen3.8-Flash-CIRU-STRIX-Orca (the frank-dragoon
# model) on Dankclaw.
#
# bash scripts/download-frank-large-orca.sh
# bash scripts/download-frank-large-orca.sh --verify-only
# bash scripts/download-frank-dragoon-orca.sh
# bash scripts/download-frank-dragoon-orca.sh --verify-only
#
# The package is 136 GB of Hub-sized transport parts (HF caps new uploads at
# 50 GB, so the 79 GB main GGUF, the 52 GB PLE payload and the 4 GB MTP head
@@ -105,4 +105,4 @@ fi
echo "verifying assembled files against SHA256SUMS"
(cd "$MODEL_DIR" && sha256sum -c SHA256SUMS)
(cd "$MODEL_DIR/vision" && sha256sum -c SHA256SUMS)
echo "frank-large payload complete: $MODEL_DIR"
echo "frank-dragoon payload complete: $MODEL_DIR"
@@ -1,9 +1,9 @@
#!/usr/bin/env bash
# Download the Q4_K_XL frank-large payload on Dankclaw:
# Download the Q4_K_XL frank-dragoon payload on Dankclaw:
# unsloth/Qwen3.8-27B-GGUF -> Qwen3.8-27B-UD-Q4_K_XL.gguf
#
# bash scripts/download-frank-large-q4.sh
# bash scripts/download-frank-large-q4.sh --verify-only
# bash scripts/download-frank-dragoon-q4.sh
# bash scripts/download-frank-dragoon-q4.sh --verify-only
#
# Integrity: the file is checked against its declared byte count and sha256
# (the LFS oid from the Hub tree API, 2026-10-01). NO AUTH HEADER IS USED:
@@ -21,12 +21,12 @@
# x 2 (K,V) x 2 B), so 4 sessions x 163840 ctx = 640,000 tokens = 39.06 GiB.
#
# The speculative drafter is UNCHANGED and still fetched by its own script
# (scripts/download-frank-large.sh, z-lab's Hub repo). That name must not
# appear here at all — the frank-large seam greps THIS file for it to prove
# (scripts/download-frank-dragoon.sh, z-lab's Hub repo). That name must not
# appear here at all — the frank-dragoon seam greps THIS file for it to prove
# the drafter was not folded into the payload fetch.
#
# NOTE ON MTP: this payload has no baked-in MTP head (the Hub repo ships one
# separately as MTP/mtp-Qwen3.8-27B-Q4_0.gguf). frank-large does not need it —
# separately as MTP/mtp-Qwen3.8-27B-Q4_0.gguf). frank-dragoon does not need it —
# spec decode here is the block-diffusion drafter, not MTP.
set -euo pipefail
@@ -1,10 +1,10 @@
#!/usr/bin/env bash
# Download the Swift-1.5 frank-large candidate on Dankclaw:
# Download the Swift-1.5 frank-dragoon candidate on Dankclaw:
# ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF
# Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf
#
# bash scripts/download-frank-large-swift.sh
# bash scripts/download-frank-large-swift.sh --verify-only
# bash scripts/download-frank-dragoon-swift.sh
# bash scripts/download-frank-dragoon-swift.sh --verify-only
#
# Integrity: the file is checked against its declared byte count and sha256
# (the LFS oid from the Hub, 2026-09-28). NO AUTH HEADER IS USED: the repo is
@@ -15,9 +15,9 @@
# Layout after a successful run (MODEL_DIR):
# Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf 31457990272
#
# This is the CANDIDATE payload, not the deployed one. frank-large still
# serves scripts/download-frank-large.sh's output; do not repoint
# frank-large.env at MODEL_DIR until the gufo load test passes.
# This is the CANDIDATE payload, not the deployed one. frank-dragoon still
# serves scripts/download-frank-dragoon.sh's output; do not repoint
# frank-dragoon.env at MODEL_DIR until the gufo load test passes.
set -euo pipefail
MODEL_DIR="/home/dank/models/Swift-1.5-Qwen3.8-27B-Uncensored-MTP-UD-Q8_K_XL"
@@ -1,9 +1,9 @@
#!/usr/bin/env bash
# Download unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ4_XS (the
# frank-large model) on Dankclaw.
# frank-dragoon model) on Dankclaw.
#
# bash scripts/download-frank-large-unsloth.sh
# bash scripts/download-frank-large-unsloth.sh --verify-only
# bash scripts/download-frank-dragoon-unsloth.sh
# bash scripts/download-frank-dragoon-unsloth.sh --verify-only
#
# The UD-IQ4_XS GGUF ships as three llama.cpp split parts (HF caps uploads at
# 50 GB). The parts ARE the canonical payload: the serve script points -m at
@@ -112,4 +112,4 @@ if [[ "$mode" == "download" ]]; then
[[ -e "$MODEL_DIR/vision/mmproj-F16.gguf" ]] || mv "$MODEL_DIR/mmproj-F16.gguf" "$MODEL_DIR/vision/"
fi
echo "frank-large payload complete: $MODEL_DIR"
echo "frank-dragoon payload complete: $MODEL_DIR"
@@ -1,10 +1,10 @@
#!/usr/bin/env bash
# Download the frank-large payload on Dankclaw:
# Download the frank-dragoon payload on Dankclaw:
# - unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL (the 27B dense main GGUF)
# - z-lab/Qwen3.8-27B-DFlash2-GGUF:Q4_K_M (the DFlash2 drafter)
#
# bash scripts/download-frank-large.sh
# bash scripts/download-frank-large.sh --verify-only
# bash scripts/download-frank-dragoon.sh
# bash scripts/download-frank-dragoon.sh --verify-only
#
# Integrity: every file is checked against its declared byte count and sha256
# (the values below are the LFS oids from the Hub, 2026-09-21). An HF token
@@ -86,4 +86,4 @@ if [[ "$mode" == "download" ]]; then
done
fi
echo "frank-large payload complete: $MODEL_DIR"
echo "frank-dragoon payload complete: $MODEL_DIR"
-88
View File
@@ -1,88 +0,0 @@
#!/usr/bin/env bash
# Download the frank-secondary payload for llama.cpp on the RTX 3090:
# ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF:RCO-IQ3_XXS
# **with the MTP head in the file** (the -mtp variant), plus the
# PUBLISHER's OWN vision projector (mmproj-BF16.gguf, same repo). Public
# repo — no auth header, and never a token on the command line (it is
# world-readable in /proc/<pid>/cmdline).
#
# Fresh downloads, no resume (`curl -C -` once produced a 213 MB oversized
# file on a 31 GiB payload); -f/--fail-with-body so an HTTP error is not a
# success, then byte count and sha256. This repo is on Xet storage, so
# the Hub tree/blob APIs expose no LFS oid: the sha256 values below were
# computed locally after the first verified fetch (byte counts match the
# Hub's declared sizes). Idempotent: complete files are skipped. The
# projector is stored under a self-documenting dest name; the URL name
# and sha stay pinned in the table below.
#
# 2026-10-06 (Frank, evening): the payload moved to the UNCELERSED
# Swift-1.5-Qwen3.8-27B at RCO-IQ3_XXS (1.56 GiB lighter than the
# IQ3_S-mtp it replaced; the lighter quant funds the MTP draft ctx plus
# the second 131,072 slot). Rollback payload stays on disk:
# /home/dank/models/Swift15-IQ3S/ (the IQ3_S-mtp that was live until this
# swap); earlier payloads Ornith-Q8/ and MiMo-Q6K/ as well. Their
# re-fetch recipes are in git history (predecessors of this script).
#
# Usage:
# scripts/download-frank-secondary.sh [DEST_DIR] [--verify-only]
set -euo pipefail
DEST=""
VERIFY_ONLY=0
for arg in "$@"; do
case "$arg" in
--verify-only) VERIFY_ONLY=1 ;;
*) DEST="$arg" ;;
esac
done
DEST="${DEST:-/home/dank/models/Swift15-UncIQ3XXS}"
# repo | hub-name | dest-name | bytes | sha256 (computed locally; Xet repo)
FILES=(
"ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF|RCO/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf|Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf|10442827392|e13d3e7400b6c7f980ebd30c0edd6be43eb1865b50be8562a9db042706c7d803"
"ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF|mmproj-BF16.gguf|mmproj-BF16.gguf|931145888|19acd7fcf4ee504328566eddf0f8e603ef853a205b4830209d2a4908213abdea"
)
mkdir -p "$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"
have=0
if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
if sha256sum -c --quiet <(printf '%s %s\n' "$sha" "$f"); then
have=1
fi
fi
if (( have )); 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"
curl -fsSL --fail-with-body -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"
+90
View File
@@ -0,0 +1,90 @@
#!/usr/bin/env bash
# Download the frank-zealot payload for llama.cpp on the RTX 3090:
# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at **Q6_K** plus the
# PUBLISHER's OWN vision projector (the BF16 mmproj — the model is natively
# multimodal, so this file is the endpoint's eyes). Public repo — no auth
# header, and never a token on the command line (it is world-readable in
# /proc/<pid>/cmdline).
#
# Fresh downloads, no resume (`curl -C -` once produced a 213 MB oversized
# file on a 31 GiB payload); -f/--fail-with-body so an HTTP error is not a
# success, then byte count and sha256. The Hub exposes no LFS oid for this
# repo (Xet storage), so the sha256 values below were computed locally after
# the first verified fetch — byte counts match the Hub's declared sizes.
# A sha of "-" means "first fetch: size-verified, sha printed for pinning".
# Idempotent: complete files are skipped.
#
# 2026-10-07 (Frank): the payload moved to Qwen3.5-9B-Uncensored Q6_K at
# 2 x 200,704 (qwen35 hybrid: 32 layers, 8 full-attention + 24 Gated
# DeltaNet, no MTP tensors in this file). Rollback payloads stay on disk:
# /home/dank/models/Gemma4-26B-A4B/ (Q4_K_M, the 2026-10-07 era being
# replaced), Swift15-UncIQ3XXS/, MiMo-Q6K/, MiMo-Q5KM/, Ornith-Q8/.
#
# Usage:
# scripts/download-frank-zealot.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/Qwen35-9B-HauhauCS-Q6K}"
# repo | hub-name | dest-name | bytes | sha256 (computed locally; Xet repo)
FILES=(
"HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive|Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf|Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf|7359259008|c0ba7beb68fd3fe47891bd549486d38dcf62d00817296ea314ad37017f5a4986"
"HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive|mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf|mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf|921704448|05f662501f8bd45607b079723a3e238a4e888fd085a10a53f4057a0e250f6934"
)
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"
have=0
if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
if [[ "$sha" == "-" ]]; then
have=1
elif sha256sum -c --quiet <(printf '%s %s\n' "$sha" "$f"); then
have=1
fi
fi
if (( have )); 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"
curl -fsSL --fail-with-body -o "$tmp" "$url"
mv "$tmp" "$f"
if [[ "$(stat -c%s "$f")" != "$size" ]]; then
echo "SIZE FAIL $destname ($(stat -c%s "$f") != $size)"
status=1
continue
fi
if [[ "$sha" == "-" ]]; then
echo "VERIFIED $destname (size only) sha256=$(sha256sum "$f" | cut -d' ' -f1)"
continue
fi
if ! sha256sum -c --quiet <(printf '%s %s\n' "$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"
+56
View File
@@ -0,0 +1,56 @@
#!/usr/bin/env bash
# fleet-probes-swift15.sh — RUNS ON DANKSERVER. The cutover contract probes.
set -uo pipefail
B=http://localhost:7770/v1
echo "== vision (solid red 512px, expect 'Red')"
python3 - <<'PY'
import base64, json, urllib.request, struct, zlib
def png(color):
w = h = 512
raw = b"".join(b"\x00" + bytes(color) * w for _ in range(h))
def chunk(t, d):
c = t + d
return struct.pack(">I", len(d)) + c + struct.pack(">I", zlib.crc32(c))
return (b"\x89PNG\r\n\x1a\n"
+ chunk(b"IHDR", struct.pack(">IIBBBBB", w, h, 8, 2, 0, 0, 0))
+ chunk(b"IDAT", zlib.compress(raw)) + chunk(b"IEND", b""))
b64 = base64.b64encode(png((255, 0, 0))).decode()
body = json.dumps({"model": "frank-archon", "max_tokens": 256, "temperature": 0,
"messages": [{"role": "user", "content": [
{"type": "image_url", "image_url": {"url": "data:image/png;base64," + b64}},
{"type": "text", "text": "What color is this image? Answer with one word."}]}]}).encode()
r = urllib.request.Request("http://localhost:7770/v1" + "/chat/completions",
data=body, headers={"Content-Type": "application/json"})
d = json.load(urllib.request.urlopen(r, timeout=300))
m = d["choices"][0]["message"]
ans = (m.get("content") or m.get("reasoning_content") or "")
print("VISION ANSWER:", ans[:80].replace("\n", " "))
PY
echo "== tools (expect tool_calls)"
curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' -d '{
"model":"frank-archon","temperature":0,"max_tokens":128,
"messages":[{"role":"user","content":"What is 23 times 47? Use the calculator tool."}],
"tools":[{"type":"function","function":{"name":"calculator","description":"evaluate arithmetic",
"parameters":{"type":"object","properties":{"expr":{"type":"string"}},"required":["expr"]}}}]}' \
| python3 -c 'import json,sys; d=json.load(sys.stdin); m=d["choices"][0]["message"]; print("TOOL_CALLS:", m.get("tool_calls"))'
echo "== reasoning_effort fold (xhigh/medium/low/high all 200 on froggeric v22.5)"
for lvl in xhigh medium low high; do
code=$(curl -s -o /dev/null -w "%{http_code}" -m 120 $B/chat/completions \
-H 'Content-Type: application/json' \
-d "{\"model\":\"frank-archon\",\"max_tokens\":8,\"reasoning_effort\":\"$lvl\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
echo " reasoning_effort=$lvl -> HTTP $code"
done
echo "== reasoning_content channel"
curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
-d '{"model":"frank-archon","max_tokens":64,"messages":[{"role":"user","content":"Is 97 prime? Think briefly."}]}' \
| python3 -c 'import json,sys; m=json.load(sys.stdin)["choices"][0]["message"]; print("has reasoning_content:", bool(m.get("reasoning_content")), "| content:", (m.get("content") or "")[:60].replace(chr(10)," "))'
echo "== response_format json_object"
curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
-d '{"model":"frank-archon","max_tokens":64,"response_format":{"type":"json_object"},"messages":[{"role":"user","content":"Return JSON {\"ok\": true}"}]}' \
| python3 -c 'import json,sys; d=json.load(sys.stdin); print("JSON MODE:", (d["choices"][0]["message"].get("content") or "")[:60])'
echo "PROBES_DONE"
@@ -1,5 +1,5 @@
#!/usr/bin/env python3
"""Measure per-block / per-expert expert-routing activity on live frank-primary.
"""Measure per-block / per-expert expert-routing activity on live frank-archon.
Method: AMD IBS op sampling (data addresses, `perf record -e ibs_op// --data`)
on the llama-server process while concurrent generations of mixed content run.
@@ -11,13 +11,13 @@ 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).
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)
cells carry ~40% of samples), which tensor-level overrides cannot reach.
Any 8 GPU-resident blocks are therefore equivalent; COUNT is the only lever.
What this instrument settles: per-BLOCK expert read volume is FLAT across
all CPU-resident blocks, because MoE top-k routing fires every block on
every token — there are no "most active layers" at `-ot` granularity. The
real skew is per-EXPERT: a small fraction of (block,expert) cells carries
most of the samples, and tensor-level overrides cannot reach that level.
Any fixed number of GPU-resident blocks is therefore equivalent; COUNT is
the only lever.
Usage (needs passwordless sudo for perf only; model files must be readable):
fp-expert-activity.py <pid> [duration_s] # dump + sample + analyze
+230
View File
@@ -0,0 +1,230 @@
# frank-archon.env — radiance (StillDeadcode, Apache-2.0) serving
# ukisai/Swift1.5-Qwen3.8-Flash-Next converted to GPTQ w4 (MODEL_FILE below,
# built by scripts/convert-swift15-w4dn8.sh) on BOTH R9700s (TP=2),
# dankserver :7770.
#
# SHAPE (2026-10-11): 2 decode slots x 200,000 tokens with an UNQUANTIZED
# (bf16) KV cache — the pool is sized for the pair, and the weights slab pays
# for it (see the KV block). The fp8-native payload this file was written for
# is the rollback target and keeps its own trio under the fp8-native runbook.
#
# 2026-10-05 cutover from FreeToken (PR #587 ROCm, one card, experts in
# pinned host RAM; git tag frank-archon-freetoken-pr587-20261005 is the
# pre-cutover state — its unit/env/serve trio and Dockerfile are all in the
# tag and rebuildable). Before that: tcclaviger vLLM fork (tag
# frank-archon-vllm-shapeG-20261003).
#
# WHY RADIANCE: the engine is C++/HIP with libr4d kernels built for
# gfx1201, drives `podman run` directly from the digest-pinned
# stilldeadcode/radiance image (287 MiB; host needs only the amdgpu driver),
# and its qwen4exp plugin reads the modelopt FP8 encoding NATIVELY
# (`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.
#
# PAYLOAD: /home/dank/models/rad/qwen4exp-fp8-native.rad — a rad-convert
# NO-RECIPE pure copy of the official 131-shard checkpoint (every weight
# keeps its block-FP8 encoding; ~161 GiB). The convert runs against a
# staging dir whose config.json drops `quantization_config`: the descriptor
# string is only the plugin SELECTION key (spec §2.4 — exact match, no
# fallback), and no shipped plugin claims (qwen4exp, "fp8"); the shipped
# qwen4exp plugin claims (qwen4exp, "") which is what recipe-built
# containers carry. Per-weight encodings are data, not the descriptor —
# removing the key changes nothing about what the weights hold. Built by
# scripts/build-frank-archon-rad.sh (staging + convert + rad-info).
#
# SERVING FACTS (docs/GUIDE.md, docs/DOCKER.md, compose/flashnext.yaml):
# - The HTTP listener binds AFTER the full load (main.cpp: engine.start()
# then engine.serve()) — during load the port refuses connections, so a
# bare curl /health gate is honest. /health == /ping: 200 JSON while
# serving, 503 only while stopping (core/server/admin.cpp:385).
# - Reasoning: --reasoning-format defaults to auto, emitting thinking in
# `reasoning_content` (config.cpp). Tool calls: the qwen3.8 dialect, from
# the chat format. Both need no parser flags.
# - Sampling: the OpenAI endpoint accepts temperature, top_p, top_k, min_p,
# typical_p, presence_penalty, frequency_penalty, repetition_penalty,
# repeat_last_n, chat_template_kwargs, reasoning_effort,
# 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.
# - 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
# 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
# 25558e07fc60d20328f1346f96f3c6e00845eb763f01fa, tag 1.2.0, commit
# e95d397) was benched 2026-10-06 on this exact shape (fp8-native rad,
# vram pair, spec 2, seqs 3, 43.6k greedy probe): decode 29.21 t/s and
# draft acceptance 0.7123 vs the 1.0.13 control's 30.08 and 0.7549.
# Acceptance on the greedy harness is deterministic (the control
# reproduced the recorded 0.755 exactly), so the drop is a real numerics
# change — the 1.2.0 MoE weight-rotation change (92b8aaf) is the named
# suspect; decode loss tracks the acceptance ratio (0.943 vs 0.945).
# The vram-pair translation itself is exact (1.2.0 boot ledger took
# vram_weights 25.46 GiB / vram_kv 3.46 GiB per card byte-identical to
# the 1.0.13 ledger at EVC 0.82). Re-test 1.2.0+ when the rotation change
# is untangled; 1.2.0 also REMOVED --expert-vs-cache-ratio in favour of
# the --vram-weights-mib / --vram-kv-mib pair (core/config.cpp) — this
# file already uses the pair, which BOTH pins accept (rollback symmetry).
FRANK_ARCHON_IMAGE=stilldeadcode/radiance@sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
# The .rad container FILE (mounted under /models) and the state dir for the
# prefix-cache disk tier (mounted rw at /data). The model dir holds ONLY
# .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_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
# at boot; $RADIANCE_HOME defaults to /opt/radiance, in the image, so the
# cache must ride a host mount — serve script mounts it, see the runbook's
# "Tuning levers").
# Container identity is the SERVICE name (Frank's call, 2026-10-05): one
# name across systemctl and podman ps. The runtime changes; the name does
# not. The legacy list retires every predecessor identity that could hold
# the GPUs or the port.
FRANK_ARCHON_CONTAINER=frank-archon
FRANK_ARCHON_LEGACY_CONTAINERS="frank-archon-qwen frank-archon-r9v qwen-fp8 glm-probe"
# Served model id — Protoss name (wire rename 2026-10-09). The container,
# unit, scripts and this file keep the frank-archon name above; only the
# alias on the wire moved. Radiance validates the requested model name, so
# every client (harness, bench scripts, probes) MUST send this value.
FRANK_ARCHON_SERVED_NAME=frank-archon
FRANK_ARCHON_PORT=7770
# Frank's chat-template call: froggeric's fixed Qwen3.8 template (the
# repo's root chat_template.jinja, vendored here; the checkpoint's own
# template is baked into the .rad by rad-convert and this overrides it).
# Radiance derives the reasoning/tool-call reply format from it.
FRANK_ARCHON_TEMPLATE=/home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja
# --- engine shape (the boot ledger arbitrates every number below) ---------
# Tensor parallel: BOTH R9700s. The board swap (2026-09-20, ProArt B850
# x8/x8 on root ports) made collectives legal on this host; radiance's TP
# wire is libr4d's own, not RCCL.
FRANK_ARCHON_TP=2
# Lossy WHT 6-bit wire for large all-reduces (publisher's production choice:
# +5.6-6.3% prefill, ~-1.3% 8-stream decode at TP2). min-kb stays the
# engine default.
FRANK_ARCHON_TP_WIRE=wht6
# Decode slots: TWO, so the served window is a CAPACITY CONTRACT — two
# concurrent conversations of --max-model-len fit the KV pool (see the KV
# block below). Slot-count limits observed on other runtimes do NOT
# transfer: a "this slot count cannot boot" refusal is usually that
# runtime's compiler specializing shapes (e.g. a ConstraintViolationError
# from shape specialization on query_start_loc), not a property of the
# engine now running. This engine boots seqs 2, and seqs 2
# vs 3 decode measurements land inside each other's noise floor. Side
# benefit: the fused TP all-reduce is declared over seqs x (1 + spec) = 6
# rows, under the 25-row bound at which the wht6 wire stays EXACT
# (single-sequence decode and any step of <= 25 rows is bit-exact; only
# busier steps are lossy).
FRANK_ARCHON_MAX_SEQS=2
# Served window. Native is 262,144; 200,000 is the publisher's production
# value (compose) and what models.yml's contextWindow must quote — a longer
# prompt is refused by the engine, never truncated. The engine treats
# `kv group tokens >= max-model-len` as a HARD limit ("ONE request longer
# than N tokens is accepted by the API and then refused as too large to ever
# fit — this is a hard limit, not a backing ratio"), so the pool is sized
# for seqs x maxlen, not for one sequence.
FRANK_ARCHON_MAX_MODEL_LEN=200000
FRANK_ARCHON_PLACEMENT=expert_tiered
# Pinned host pool for the expert rows that do not fit VRAM. vram_weights and
# this pool serve the per-rank resident set TOGETHER: at the fp8-KV pair
# (26071/3543) the ledger showed the VRAM slab filled to 259 KiB of slack,
# i.e. the pair was exactly sized. Cutting vram-weights by 3.8 GiB to pay for
# the bf16 KV pool SPILLS ~3.8 GiB/rank here, so the pool moves with it —
# under-sizing it is a boot failure (36864 refused the boot in the fp8 era).
# The boot ledger's coverage line remains the referee, not this arithmetic.
FRANK_ARCHON_HOST_POOL_MIB=44928
# VRAM left unclaimed per card (publisher default 96 MiB).
FRANK_ARCHON_GPU_HEADROOM_MIB=96
# VRAM split of claimed memory per card, MiB (0 = derive from the card).
# THE CEILING, measured on this host 2026-10-11: card 31,856 MiB, a boot
# consumes 1,710 MiB OUTSIDE both budgets (driver context + activation arena
# 990 + hardware queues 100 + headroom 96 + step staging), and the fp8 pair
# settled at 1,379 MiB free — so `vram_weights + vram_kv <= 29,120 MiB` keeps
# >= 1 GiB free. The pair below is exactly that sum.
# THE PRICE, and it is paid twice: on this engine idle KV VRAM is ALSO the
# expert cache's spillover (`mover: 2275 slots can be lent out of the KV
# cache (2.69 GiB)`, `arena: lends 740 MiB while steps are <= 256 tokens`),
# so a bigger KV pool steals weight residency from the slab AND from the
# lendable cache. Priors on this card/model: stealing 2.14 GiB of weights for
# a bigger pool (MAX_MODEL_LEN 262144) cost 2.5% decode; the EVC ladder's
# other direction (0.82 -> 0.84, +2.5 GiB weights) cost 8.9%. Expect -3..-8%
# vs the fp8 control (136 t/s median at 44.5k depth, acceptance 0.7246,
# ~190 t/s on a live 512-token probe); re-tune from a boot ledger + probe,
# never from that estimate.
FRANK_ARCHON_VRAM_WEIGHTS_MIB=22208
FRANK_ARCHON_VRAM_KV_MIB=6912
# KV cache UNQUANTIZED (bf16). This engine's flag takes ONLY bf16|fp8 — there
# is ONE kv_dtype for the whole cache, so "exact K, quantized V" (llama.cpp's
# --cache-type-k/--cache-type-v pair, which is what frank-zealot runs) is
# UNSERVABLE here: the rung below bf16 is fp8 on both halves.
# Measured per-rank cost, read out of the boot ledger's group table (fp8 boot
# 2026-10-08, bf16 boot 2026-10-11):
# kv_attn 13 layers, 4-token blocks, page 26.00 KiB (fp8) -> 52.00 KiB
# kv_qsa_bkey 13 layers, 4-token blocks, page 3.25 KiB at BOTH dtypes —
# the QSA block key is an index, not attention state, and does
# NOT follow --kv-cache-dtype
# => 7.3125 KiB/token fp8, 13.8125 KiB/token bf16: bf16 costs 1.89x fp8,
# not 2x, precisely because the bkey plane is dtype-fixed.
# The dtype-INDEPENDENT terms also live in the pool: kv_gdn_state 54 MiB x 2
# copies per sequence (+ conv/tail/ple ~= 110 MiB a sequence) and the prefix
# checkpoint region 8 x 55.99 = 448 MiB. So:
# pool_mib >= tokens x 13.8125 KiB + 110 x seqs + 448
# 6912 -> (6912 - 220 - 448) x 1024 / 13.8125 = 462,946 tokens; the engine
# reported 462,752 (0.04% page rounding) — 2 x 200,000 with 62k of slack,
# and the ledger says it outright: "backs 2 sequences all at 200000 tokens
# at once, which is the worst case".
# (the fp8 pool of 3543 gave 386,904 — it never held 2 x 200k, it held 1.93
# sessions, and a third long conversation preempted to the host/disk tiers).
# Secondary cost: the prefix-cache entry grows with the attention plane
# (one entry 58.50 KiB at fp8 -> 110.50 KiB at bf16, measured on the two boot
# ledgers' `kv tier transfer` lines), so the host tier below doubles to keep
# the same number of parked conversations, out of RAM the host has
# (104 GiB available with the service loaded).
FRANK_ARCHON_KV_DTYPE=bf16
# Spec decode: the checkpoint's own MTP head at the publisher's depth-3
# operating point (probe() returns 3 when mtp_num_hidden_layers > 0; the
# flag states it so the ledger records the intent).
FRANK_ARCHON_SPEC_TOKENS=2
FRANK_ARCHON_MAX_BATCHED_TOKENS=2048
# Prefix cache tiers (publisher pattern; disk tier sized for 2 slots).
# The host tier is sized in ENTRIES, and one entry doubles with the cache
# dtype (58.50 KiB at fp8 -> 117 KiB at bf16, per the ledger's `kv tier
# transfer` line): 4096 MiB at bf16 parks ~1.4 sessions of 200k where it
# parked ~2.9 at fp8. Doubled to keep the capacity, at RAM the host has
# (104 GiB 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. `ram` REFUSES the start if the memlock limit is too small — a
# named refusal beats a mid-load allocator failure — and the unit's
# LimitMEMLOCK=infinity is the other half of the arrangement.
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
# pages_limit (the current kernel exposes NO pages_max; the cap function
# takes the min over the knobs that exist). Below the plan the load dies
# mid-pin with an allocator error instead of this named refusal — raise the
# knob first (runtime sysfs write; kernel cmdline fallback + one reboot only
# if the file is read-only), see the runbook. Cap raised 2026-10-05 to
# 52,428,800 pages = 200 GiB, which still clears this floor.
FRANK_ARCHON_TTM_MIN_MIB=150000
# Escape hatch for boot-ladder experiments. Unset -> no extra argv. Keep
# 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.
FRANK_ARCHON_RAD_MIN_MIB=110000
@@ -1,8 +1,8 @@
# frank-primary.service — radiance (StillDeadcode, Apache-2.0) endpoint
# 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-primary-freetoken-pr587-20261005 is the pre-cutover state; the
# frank-archon-freetoken-pr587-20261005 is the pre-cutover state; the
# retired unit/env/serve trio and Dockerfile are in that tag).
#
# Same port, same served alias, same container identity as the unit name;
@@ -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-primary — radiance Qwen3.8-Flash-Next-FP8 (native) on 2x R9700 TP=2
Description=frank-archon — radiance Qwen3.8-Flash-Next-FP8 (native) on 2x R9700 TP=2
After=network-online.target
Wants=network-online.target
# Never let the start-rate limiter give up after a crash loop (a failed LLM
@@ -33,14 +33,14 @@ Group=dank
# RLIMIT_MEMLOCK smaller than the pinned set fails the load mid-start.
# PID1 grants infinity here — parity with the fleet's other LLM units.
LimitMEMLOCK=infinity
Environment="FRANK_PRIMARY_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-primary.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-primary.sh
Environment="FRANK_ARCHON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-archon.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-archon.sh
# systemd stop: wait alone cannot stop the container child; stop it
# explicitly. No graceful drain contract is claimed (the OpenAI front end
# holds no queue to drain — in-flight decodes are lost, which a stop
# during a bench window accepts; radiance takes SIGTERM on the engine
# process and podman reaps the container).
ExecStop=/usr/bin/podman stop -t 120 frank-primary
ExecStop=/usr/bin/podman stop -t 120 frank-archon
# Boot cost: .rad load (weights + PLE upload) + expert host-pool pin. The
# publisher's compose healthcheck allows a 15-minute start_period; the
# vLLM-era budget (1800 s) carried forward.
@@ -1,11 +1,11 @@
# frank-large.env — tunables for the frank-large endpoint on Dankclaw's
# frank-dragoon.env — tunables for the frank-dragoon endpoint on Dankclaw's
# Strix Halo iGPU (gfx1151), host port 7770.
#
# RUNTIME (2026-10-06, Frank): halogen-flash-server 0.16.2 — the
# closed-source C++/HIP engine (image ghcr.io/peonist-ai/halogen-flash-server,
# digest-pinned below) serving the Quat3rnion ABLITERATED Swift1.5 finetune
# of peonist's Qwen3.8-Flash-Next v2 checkpoint, as a podman container under
# a root unit, driven by scripts/serve-frank-large.sh. This CUTS OVER the
# a root unit, driven by scripts/serve-frank-dragoon.sh. This CUTS OVER the
# 2026-10-05 halogen 27B-dense shape (censored base, DFlash2, 31.7 t/s):
# rollback = revert the swap commit's trio; the 27B payload stays on disk at
# /home/dank/models/halogen-qwen3.8-27b/.
@@ -22,28 +22,39 @@
# tool calls verified, and the native 262,144 context.
#
# SHAPE — the knobs that are NOT free, with the arithmetic:
# HALOGEN_CTX=200192 is the PER-SLOT window and the per-conversation hard
# HALOGEN_CTX=262144 is the PER-SLOT window and the per-conversation hard
# ceiling — a prompt over it is a 400 naming the limit, never a silent
# truncation. Harness compaction fires at 70% = 140,134, and 140,134 +
# 57,344 (harness maxTokens) = 197,478 <= 200,192 keeps prompt + budget
# inside the slot. models.yml contextWindow must quote 200192 or the
# harness discovers the wall as a 400.
# HALOGEN_KV_POOL_POSITIONS=400384 = KV_SLOTS(2) x CTX — the explicit
# truncation. RAISED from 200192 on 2026-10-07: the harness clamps
# max_tokens to contextWindow − est − 4096, its chars/4 est UNDER-counts
# the rendered prompt by ~3 % on code/agent traffic, and compaction only
# fires at 85 % — so with window == engine ceiling, every request over
# ~146k est (65-85 % of the window) was a guaranteed 400. Measured
# 2026-10-07: est 152,938, server 157,388, request 43,158 vs room 42,804
# — over by 354, margin 4,096 < the 4,450 under-count.
# Harness contract (models.yml): contextWindow 217088, maxTokens 45056.
# Compaction fires at 85 % = 184,524 est ≈ 190k measured (Frank's 180k
# target). Worst-case request: prompt + budget <= 217088 − 4096 + 3 %
# est-error ≈ 219k <= 262144 — the 45k gap between harness window and
# engine ceiling absorbs the estimate error with ~7x margin (robust to a
# 10 % under-count). Compaction rides on frank-zealot: input ≈
# threshold − keepRecent(20k) ≈ 170k measured, inside its 200,704 slot.
# HALOGEN_KV_POOL_POSITIONS=524288 = KV_SLOTS(2) x CTX — the explicit
# form of the engine's default, so the seam test can pin the product.
# KV costs ~28 KiB/position (FLAGS.md) => 400,384 x 28 KiB = 10.7 GiB.
# 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 (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.
# drafter is NOT slot-locked on this engine. A "slots > 1 disables the
# drafter" restriction is a property of the engine generation that
# imposed it, not of speculation itself — batching and speculation
# coexist here, and 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):
# weights ~62 GiB resident + KV 10.7 + arena (HALOGEN_MAX_TOK=8192 =>
# weights ~62 GiB resident + KV 14.0 + arena (HALOGEN_MAX_TOK=8192 =>
# ~8 GiB per FLAGS.md arena formula 3.8+8.4*(MT/16384)) + vision ~2
# = ~82.7 GiB engine-side; HALOGEN_HOST_RESERVE_GIB=20 keeps the host
# honest; baseline co-tenancy (frank-secondary, ComfyUI, Caddy/observ)
# ~10-15. ~18 GiB margin. The boot ledger is the referee — read it
# = ~86 GiB engine-side; HALOGEN_HOST_RESERVE_GIB=20 keeps the host
# honest; baseline co-tenancy (frank-zealot, ComfyUI, Caddy/observ)
# ~10-15. ~15 GiB margin. The boot ledger is the referee — read it
# after deploy and re-size if the engine prints a clamp.
# HALOGEN_SPEC_ADAPT=0 is MANDATORY (card): the default adaptive policy
# turns the MTP head off for whole requests after low acceptance and
@@ -57,8 +68,8 @@
# an absent temperature is no longer greedy. models.yml extraBody
# carries the same values — consistent, not load-bearing.
# * HALOGEN_MAX_TOK=8192 is only the DEFAULT for requests that omit
# max_tokens; the harness always sends 57344. Requests over
# HALOGEN_MAX_TOKENS_CAP (65536) are a 400 naming the cap. Cap and
# max_tokens; the harness sends at most its maxTokens 45056. Requests
# over HALOGEN_MAX_TOKENS_CAP (65536) are a 400 naming the cap. Cap and
# queue timeout are COUPLED (FLAGS.md table): 65536 at ~10 t/s serial
# worst case needs > 6550 s; 7200 honors it. Do not move one alone.
# * max_tokens INCLUDES thinking; a reasoning reply over a small budget
@@ -78,51 +89,55 @@
# before. Kernel needs CONFIG_HSA_AMD_SVM (CachyOS ships it) and
# amdgpu.noretry=0 (check at deploy).
# 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_LARGE_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
# Image: digest-pinned, not tag-pinned — a tag can be re-pointed to a
# build that was never qualified here, while the digest pins exactly the
# build that was tested. 0.16.2 = the version the model card names as its
# quickstart pin; the RepoDigest was captured at a pull of that tag.
FRANK_DRAGOON_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
# Container identity: kept from the 27B era (unit ExecStop names it).
FRANK_LARGE_CONTAINER=frank-large-halogen
FRANK_DRAGOON_CONTAINER=frank-dragoon-halogen
# Old quadlet-era container identity; the serve script clears stale names.
FRANK_LARGE_LEGACY_CONTAINERS=frank-large
FRANK_DRAGOON_LEGACY_CONTAINERS=frank-dragoon
# host:container — the frontend listens on 8731 inside (HALOGEN_API_PORT
# default); the engine port (8730) is never published.
FRANK_LARGE_PUBLISH=7770:8731
FRANK_DRAGOON_PUBLISH=7770:8731
FRANK_LARGE_MODEL_DIR=/home/dank/models/halogen-flashnext-v2
FRANK_DRAGOON_MODEL_DIR=/home/dank/models/halogen-flashnext-v2
# The checkpoint: Quat3rnion/halogen-swift1.5-qwen3.8-flash-next-v2-abliterated
# qwen38-flash-next-v2-swift15-abliterated.hgn — compacted r2 of the card's
# append-only original (byte-identical live tensors, padding dropped:
# 66,687,678,464 B vs 89,775,868,032 B). LFS sha256 verified at fetch.
FRANK_LARGE_CHECKPOINT=qwen38-flash-next-v2-swift15-abliterated.hgn
FRANK_LARGE_CHECKPOINT_BYTES=66687678464
FRANK_LARGE_CHECKPOINT_SHA256=9c880b8ba48deabfa06172eff1e7572e4fe465e09e97faec6e50c3f6fdcac037
FRANK_DRAGOON_CHECKPOINT=qwen38-flash-next-v2-swift15-abliterated.hgn
FRANK_DRAGOON_CHECKPOINT_BYTES=66687678464
FRANK_DRAGOON_CHECKPOINT_SHA256=9c880b8ba48deabfa06172eff1e7572e4fe465e09e97faec6e50c3f6fdcac037
# The n-gram lookup table: REQUIRED (the engine reads it beside the
# checkpoint; the card's quickstart names it explicitly). From
# peonist-ai/halogen-qwen3.8-flash-next @ 5cc17cea.
FRANK_LARGE_NGRAM_TABLE=qwen38-flash-next-ngram.hgn
FRANK_LARGE_NGRAM_BYTES=51200246144
FRANK_LARGE_NGRAM_SHA256=3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
FRANK_DRAGOON_NGRAM_TABLE=qwen38-flash-next-ngram.hgn
FRANK_DRAGOON_NGRAM_BYTES=51200246144
FRANK_DRAGOON_NGRAM_SHA256=3450acada94e19aabad88bd49b45eb70304820949c2240fc178067b20ae5dffe
# The vision tower: OPTIONAL on the engine, ENABLED here (image input).
# From peonist-ai/halogen-qwen3.8-flash-next @ e053f488.
FRANK_LARGE_VISION_TOWER=qwen38-flash-next-vision.hgn
FRANK_LARGE_VISION_BYTES=897916416
FRANK_LARGE_VISION_SHA256=d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
# The tokenizer is a FLAT DIRECTORY, $FRANK_LARGE_MODEL_DIR/tokenizer,
FRANK_DRAGOON_VISION_TOWER=qwen38-flash-next-vision.hgn
FRANK_DRAGOON_VISION_BYTES=897916416
FRANK_DRAGOON_VISION_SHA256=d62e0ae553fe88afd3833733d4a4c669f34d20fd8dfce4b9610525bed2134b10
# The tokenizer is a FLAT DIRECTORY, $FRANK_DRAGOON_MODEL_DIR/tokenizer,
# mounted whole at /tokenizer. The two repos ship the same one; fetched
# fresh from peonist @ e053f488 (tokenizer.json is LFS, byte-identical to
# the 27B-era copy; the rest are plain git blobs — size-checked only). The
# serve gate and the deployer refuse a missing file or ANY symlink: an HF
# cache snapshot symlinks each file into blobs/, and those links dangle
# inside the container mount.
FRANK_LARGE_TOKENIZER_FILES="tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json"
FRANK_DRAGOON_TOKENIZER_FILES="tokenizer.json chat_template.jinja tokenizer_config.json merges.txt vocab.json generation_config.json"
# --- engine flags (docs/FLAGS.md of the flash-server repo; anything unset
# stays at the image default, which is what was qualified) ------------------
HALOGEN_MODEL_ID=frank-large
HALOGEN_CTX=200192
HALOGEN_KV_POOL_POSITIONS=400384
# Served model id — Protoss name (wire rename 2026-10-09); the service, unit,
# scripts and this file keep the frank-dragoon name. OpenWebUI api_configs
# model_ids for the :7770 backend MUST name this value.
HALOGEN_MODEL_ID=frank-dragoon
HALOGEN_CTX=262144
HALOGEN_KV_POOL_POSITIONS=524288
HALOGEN_KV_SLOTS=2
HALOGEN_HOST_RESERVE_GIB=20
# Spec decode: MTP head is INSIDE the checkpoint (do NOT set HALOGEN_MTP_HEAD);
@@ -1,5 +1,5 @@
[Unit]
Description=halogen-flash-server container (Quat3rnion abliterated Swift1.5 of Qwen3.8-Flash-Next v2, MTP spec decode, 2 slots x 200192, vision ON), root systemd unit (dankclaw, frank-large, Strix Halo iGPU)
Description=halogen-flash-server container (Quat3rnion abliterated Swift1.5 of Qwen3.8-Flash-Next v2, MTP spec decode, 2 slots x 200192, vision ON), root systemd unit (dankclaw, frank-dragoon, Strix Halo iGPU)
After=network-online.target
Wants=network-online.target
@@ -11,11 +11,11 @@ Group=dank
# RLIMIT smaller than the pinned set cannot fail the load. Parity with the
# other LLM units on this fleet.
LimitMEMLOCK=infinity
Environment="FRANK_LARGE_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-large.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-large.sh
Environment="FRANK_DRAGOON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-dragoon.sh
# systemd stop alone cannot stop the container child; stop it explicitly
# (frank-primary pattern). The engine drains on SIGTERM.
ExecStop=/usr/bin/podman stop -t 60 frank-large-halogen
# (frank-archon pattern). The engine drains on SIGTERM.
ExecStop=/usr/bin/podman stop -t 60 frank-dragoon-halogen
TimeoutStartSec=1200
TimeoutStopSec=120
# always, not on-failure: an engine that exits 0 after an internal fault
@@ -23,7 +23,7 @@ TimeoutStopSec=120
Restart=always
RestartSec=10
# The engine pins ~62 GiB of v2 weights and keeps a multi-GiB working set
# on a box that also hosts frank-secondary, ComfyUI and the Caddy/observability
# on a box that also hosts frank-zealot, ComfyUI and the Caddy/observability
# stack; make it a late OOM candidate, not the first.
OOMScoreAdjust=-500
-142
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@@ -1,142 +0,0 @@
# frank-primary.env — radiance (StillDeadcode, Apache-2.0) serving the
# OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint at NATIVE precision
# (modelopt block-FP8 throughout, no requantisation) on BOTH R9700s (TP=2),
# dankserver :7770.
#
# 2026-10-05 cutover from FreeToken (PR #587 ROCm, one card, experts in
# pinned host RAM; git tag frank-primary-freetoken-pr587-20261005 is the
# pre-cutover state — its unit/env/serve trio and Dockerfile are all in the
# tag and rebuildable). Before that: tcclaviger vLLM fork (tag
# frank-primary-vllm-shapeG-20261003).
#
# WHY RADIANCE: the engine is C++/HIP with libr4d kernels built for
# gfx1201, drives `podman run` directly from the digest-pinned
# stilldeadcode/radiance image (287 MiB; host needs only the amdgpu driver),
# and its qwen4exp plugin reads the modelopt FP8 encoding NATIVELY
# (`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.
#
# 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-primary-rad.sh (staging + convert + rad-info).
#
# SERVING FACTS (docs/GUIDE.md, docs/DOCKER.md, compose/flashnext.yaml):
# - The HTTP listener binds AFTER the full load (main.cpp: engine.start()
# then engine.serve()) — during load the port refuses connections, so a
# bare curl /health gate is honest. /health == /ping: 200 JSON while
# serving, 503 only while stopping (core/server/admin.cpp:385).
# - Reasoning: --reasoning-format defaults to auto, emitting thinking in
# `reasoning_content` (config.cpp). Tool calls: the qwen3.8 dialect, from
# the chat format. Both need no parser flags.
# - Sampling: the OpenAI endpoint accepts temperature, top_p, top_k, min_p,
# typical_p, presence_penalty, frequency_penalty, repetition_penalty,
# repeat_last_n, chat_template_kwargs, reasoning_effort,
# 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.
# - The fused TP all-reduce is declared over max-num-seqs x
# (1 + --num-speculative-tokens) rows; 2 x 4 = 8 rows fits either wire.
FRANK_PRIMARY_IMAGE=stilldeadcode/radiance@sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
# The .rad container FILE (mounted under /models) and the state dir for the
# prefix-cache disk tier (mounted rw at /data). The model dir holds ONLY
# .rad files; the raw HF download and its staging dir live beside it and
# are never mounted.
FRANK_PRIMARY_MODEL_DIR=/home/dank/models/rad
FRANK_PRIMARY_MODEL_FILE=qwen4exp-fp8-native.rad
FRANK_PRIMARY_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
# at boot; $RADIANCE_HOME defaults to /opt/radiance, in the image, so the
# cache must ride a host mount — serve script mounts it, see the runbook's
# "Tuning levers").
# Container identity is the SERVICE name (Frank's call, 2026-10-05): one
# name across systemctl and podman ps. The runtime changes; the name does
# not. The legacy list retires every predecessor identity that could hold
# the GPUs or the port.
FRANK_PRIMARY_CONTAINER=frank-primary
FRANK_PRIMARY_LEGACY_CONTAINERS="frank-primary-qwen frank-primary-r9v qwen-fp8 glm-probe"
FRANK_PRIMARY_SERVED_NAME=frank-primary
FRANK_PRIMARY_PORT=7770
# Frank's chat-template call: froggeric's fixed Qwen3.8 template (the
# repo's root chat_template.jinja, vendored here; the checkpoint's own
# template is baked into the .rad by rad-convert and this overrides it).
# Radiance derives the reasoning/tool-call reply format from it.
FRANK_PRIMARY_TEMPLATE=/home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja
# --- engine shape (first-boot conservative; the boot ledger arbitrates) --
# Tensor parallel: BOTH R9700s. The board swap (2026-09-20, ProArt B850
# x8/x8 on root ports) made collectives legal on this host; radiance's TP
# wire is libr4d's own, not RCCL.
FRANK_PRIMARY_TP=2
# Lossy WHT 6-bit wire for large all-reduces (publisher's production choice:
# +5.6-6.3% prefill, ~-1.3% 8-stream decode at TP2). min-kb stays the
# engine default.
FRANK_PRIMARY_TP_WIRE=wht6
# Decode slots. 2 is Frank's first-boot value ("use parallelism = 2 to
# start"); raise only after a real-traffic look at slot occupancy and the
# KV pool's headroom line. The recurrent-state cost scales with it (54
# MiB/copy/card, 2 copies with speculation).
FRANK_PRIMARY_MAX_SEQS=3
# Served window. Native is 262,144; 200,000 is the publisher's production
# value (compose) and what models.yml's contextWindow must quote — a longer
# prompt is refused by the engine, never truncated.
FRANK_PRIMARY_MAX_MODEL_LEN=200000
FRANK_PRIMARY_PLACEMENT=expert_tiered
# Pinned host pool for the expert rows that do not fit VRAM. Native FP8
# experts are 112.8 GiB total (56.4 GiB per rank slice) vs the 4-bit
# publisher shape's ~29 GiB — this pool is the cost of native precision.
# The boot ledger prints the pool's coverage ("the pool backs N% of the
# worst case ... M full-length sessions"); resize from that line, not from
# arithmetic.
FRANK_PRIMARY_HOST_POOL_MIB=40960
# VRAM left unclaimed per card (publisher default 96 MiB).
FRANK_PRIMARY_GPU_HEADROOM_MIB=96
# Weights share of claimed VRAM (publisher production value; higher = more
# prefix-cache hit rate, less KV headroom).
FRANK_PRIMARY_EXPERT_VS_CACHE=0.82
# KV cache in FP8 (7.32 KiB/token at this model's 12 full-attention layers,
# 2 KV heads, 256 head_dim, K+V).
FRANK_PRIMARY_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).
FRANK_PRIMARY_SPEC_TOKENS=2
FRANK_PRIMARY_MAX_BATCHED_TOKENS=2048
# Prefix cache tiers (publisher pattern; disk tier sized for 2 slots).
FRANK_PRIMARY_PREFIX_HOST_MIB=4096
FRANK_PRIMARY_PREFIX_DISK_MIB=65536
# 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_PRIMARY_NGRAM_PLACEMENT=ram
# TTM preflight: the pinned ledger (2 x 40 GiB pools + 47.7 GiB PLE + 4 GiB
# prefix host) is ~132 GiB. ttm's pages_limit/pages_max cap the GPU-mappable
# pinned pages; the current cap (32,252,917 pages = ~123 GiB) is BELOW the
# plan, so the serve script refuses to start until both are raised. This is
# the floor it enforces (in MiB), with ~8 GiB of margin.
FRANK_PRIMARY_TTM_MIN_MIB=140000
# Escape hatch for boot-ladder experiments. Unset -> no extra argv. Keep
# multi-flag values as one string; the serve script expands it unquoted on
# purpose.
FRANK_PRIMARY_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.
FRANK_PRIMARY_RAD_MIN_MIB=177000
-98
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@@ -1,98 +0,0 @@
# frank-secondary — llama.cpp (master, CUDA sm_86) serving
# ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF:RCO-IQ3_XXS
# **with the MTP head in the file** on the RTX 3090, :7771.
#
# 2026-10-06 (Frank, evening): the payload moved to ajgazin's UNCELERSED
# Swift-1.5-Qwen3.8-27B at RCO-IQ3_XXS (10,442,827,392 B) — 1.56 GiB
# lighter than the IQ3_S-mtp it replaces — with MTP BACK ON (draft-mtp,
# depth 3), TWO 131,072 slots, and ubatch 512. The uncensored finetune
# changes behavior by design (publisher: 23/100 refusals vs Swift 1.5's
# 98/100, KL 0.0884 from Swift 1.5) — Frank's order. The RCO tier is the
# same per-tensor ALLOCATION recipe as the IQ3_S file (histogram: iq3_s
# 97 / bf16 96 / iq3_xxs 83 / iq2_s 72 / iq4_xs 33 / iq2_xs 32 / iq2_xxs
# 30 / q2_k 28 / q4_k 19 / q6_k 8 / iq1_s 4 / iq1_m 4 — all stock types,
# stock llama.cpp loads it); publisher KLD: Mean 0.002631, 90 % 0.0421
# (kld_results.csv). RCO files are "more experimental" per the README —
# the quality floor is the IQ3_S rung, not a promise.
#
# The architecture is unchanged (same model family): qwen35 hybrid —
# block_count 65 (64 real layers + the blk.64 MTP head),
# full_attention_interval 4 => SIXTEEN full-attention layers, 24 Q heads
# / 4 KV heads, k/v length 256, native window 262144, dense,
# nextn_predict_layers=1. The MTP head ships in every main GGUF of this
# repo (README); --spec-type draft-mtp loads it against the main model's
# own weights.
#
# THE KV CONTRACT STAYS q8_0 K + q8_0 V (Frank, 2026-10-05): 34 KiB/token
# (16 attn layers x 4 heads x 256 x 1.0625 B, K and V).
#
# Why TWO slots + MTP fits now (it did not under IQ3_S):
# card 24,576 MiB. Weights 9,963 MiB (10,442,827,392 B; IQ3_S was
# 11,561). Projector ~1,290 MiB (the PUBLISHER's OWN mmproj-BF16.gguf,
# 931,145,888 B, at the measured ~1.45x card law — no substitution).
# Compute buffers at ubatch 512 ~1.3 GiB. CUDA ctx ~500 MiB. DeltaNet
# state ~150 MiB/slot x 2. MTP draft ctx back: ~0.4 GiB. Non-KV ~13.9
# GiB. Two q8_0 slots = 8,704 MiB. Predicted free ~2.6-3.2 GiB — back
# over the old 2-3 GiB floor that the IQ3_S two-slot boot violated
# (measured there: 1,397 MiB free). MEASURE nvidia-smi free at boot
# (quote the free field) and let the runbook carry the number.
#
# Payload history (rollback trail): /home/dank/models/Swift15-IQ3S/ (the
# IQ3_S-mtp that was live until this swap), Ornith-Q8/, MiMo-Q6K/ all
# stay on disk; one MODEL_FILE + shape edit back each.
LLAMA_BIN=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server
MODEL_FILE=/home/dank/models/Swift15-UncIQ3XXS/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf
# Vision: the publisher SHIPS the projector — mmproj-BF16.gguf
# (931,145,888 B) from the same repo, fetched by
# scripts/download-frank-secondary.sh. No substitution needed for this
# payload (the unsloth base-tower proof of 2026-10-05 remains the
# fallback argument for the IQ3_S rollback payload).
# Empty string = text-only on purpose.
MMPROJ_FILE=/home/dank/models/Swift15-UncIQ3XXS/mmproj-BF16.gguf
# Fleet endpoint: same port and alias as every frank-secondary before it, so the
# harness models.yml id and the homepage probe do not move.
ALIAS=frank-secondary
BIND_ADDR=0.0.0.0
LISTEN_PORT=7771
# TWO conversations at Frank's 112k cap (2026-10-06 evening): --ctx-size is
# the POOL llama.cpp divides across slots; 229376 / 2 = 114,688 per
# conversation. Lowering from 128k (131,072) frees ~1 GiB of KV, which
# funds the ubatch 512 -> 1024 increase (prefill throughput). The
# per-slot window is the product contract, so models.yml follows to
# 114,688.
CTX_SIZE=229376
PARALLEL=2
# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves);
# the 1024 rung was the first A/B back once the per-slot context dropped
# to 112k (2026-10-06 evening), and 2048 is the second (Frank, same night)
# — the rung measured +4.6 % prefill for 616 MiB on the 3090 (2026-10-05
# boot pair), affordable inside the 1,751 MiB the 112k cut freed. The pair
# is a measurement, not a law (loud failure at graph capture if it does
# not fit).
BATCH_SIZE=4096
UBATCH_SIZE=2048
# The KV contract for this swap (Frank, 2026-10-05): q8_0 K + q8_0 V —
# llama.cpp's FP8 class. The flags stay explicit so the choice is visible in
# the argv either way, and --flash-attn stays pinned on in the serve script:
# it is required for quantized V (the build carries
# GGML_CUDA_FA_ALL_QUANTS=ON since 2026-09-17, so q8_0 KV is a real path,
# not a silent f16 fallback).
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=q8_0
# Speculative decoding is ON (Frank, 2026-10-06 evening): draft-mtp at
# depth 3 against the head IN the file (the -mtp variant ships the
# blk.64.nextn.* tensors). ngram-mod stays skipped — on a qwen35 hybrid
# it disables recurrent-state rollback, so a rejected draft would
# corrupt the DeltaNet state; MTP needs no such bypass (its draft ctx
# re-derives state from the target's own weights). The flags move as a
# set: the serve script emits BOTH only when SPEC_TYPE names a drafter.
SPEC_TYPE=draft-mtp
SPEC_DRAFT_N_MAX=3
NGL=99
-19
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[Unit]
Description=llama.cpp Swift-1.5-Qwen3.8-27B Uncensored RCO IQ3_XXS GGUF (qwen35 hybrid, 2x131072 slots, q8_0 K+V, draft-mtp depth 3, mmproj vision) on the RTX 3090 (dankclaw, frank-secondary)
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=dank
Group=dank
# CUDA pins its staging buffers, so the process needs the memlock budget even
# though the weights themselves are copied into VRAM.
LimitMEMLOCK=infinity
Environment="FRANK_SECONDARY_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-secondary.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-secondary.sh
Restart=on-failure
RestartSec=10
[Install]
WantedBy=multi-user.target
+62
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# frank-zealot — llama.cpp (master, CUDA sm_86) serving
# HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive at Q6_K on the RTX 3090,
# :7771.
#
# 2026-10-07 (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.
#
# 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 KV rate follows from the architecture: 8 full layers × 4 KV heads ×
# 256 dim = 8,192 elements per token per cache. f16 K + f16 V = 32,768
# B/token = 32 KiB/token, so the 401,408-token pool is 12.25 GiB. The 24
# DeltaNet layers cost a fixed recurrent state per SLOT (not per token) —
# that is why two 200k slots fit where the 26B MoE fit only one.
#
# Feasibility comes from the predecessor's MEASURED boots, not a formula:
# MiMo-V2.6-Distill-Qwen-9B (identical qwen35 geometry, 7,793,710,624 B) at
# 2×200,704 f16 K + f16 V measured 21,276 used / 2,849 free at ubatch 1024
# and 21,846 / 2,279 at ubatch 2048. This file is 415 MiB lighter in weights,
# its BF16 mmproj is 3 MiB heavier ⇒ projected ~21,430 used / ~2,700 free.
# The verbosity-4 boot ledger is the referee.
#
# Ubatch 2048 is the measured CUDA optimum (measured on the MiMo predecessor
# at this exact arch + shape: +4.6 % prefill at 8.9k depth, decode flat, cost
# 616 MiB). 1024 is the fallback rung if the boot lands under the 2 GiB floor.
LLAMA_BIN=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server
MODEL_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf
MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf
# Served model id — the harness/family name (Protoss rename completed to the
# wire 2026-10-09: harness ids + homepage cards 2026-10-08, /v1/models aliases
# this day). The SERVICE, unit, scripts and this env file keep the
# frank-zealot name; only the alias on the wire changed. Consumers that
# key on the served id: OpenWebUI (model row, access_grant, api_configs
# model_ids) and the harness models.yml.
ALIAS=frank-zealot
BIND_ADDR=0.0.0.0
LISTEN_PORT=7771
# CTX_SIZE is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
# per conversation. MUST stay divisible by PARALLEL (the seam enforces it) and
# the harness contextWindow quotes the PER-SLOT number — a longer prompt is
# answered with a 400, never truncated.
CTX_SIZE=401408
PARALLEL=2
BATCH_SIZE=4096
UBATCH_SIZE=2048
CACHE_TYPE_K=f16
CACHE_TYPE_V=f16
SPEC_TYPE=none
NGL=99
# Log verbosity threshold (llama.cpp -lv). 4 = debug: KV layout, buffer sizes
# and graph capture land in the journal, which is what the VRAM-fit forensics
# read. Levels above 4 flood the journal.
VERBOSITY=4
+24
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[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)
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=dank
Group=dank
# CUDA pins its staging buffers, so the process needs the memlock budget even
# though the weights themselves are copied into VRAM.
LimitMEMLOCK=infinity
Environment="FRANK_ZEALOT_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-zealot.env"
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-zealot.sh
# Restart=always is the right policy for a serving daemon: a process that
# exits on its own — exit 0 — is a CLEAN stop to systemd, so on-failure
# never fires and the endpoint stays dark (with the unit reporting
# success) until the next boot. frank-zealot is the fleet's compaction
# hub — every endpoint's compaction dies when it does.
Restart=always
RestartSec=10
[Install]
WantedBy=multi-user.target
+91
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#!/usr/bin/env bash
# kld-gate-swift15.sh — RUNS ON DANKSERVER. Score the quantized candidate
# against the BF16 reference and apply the pre-approved gate:
# mean KL <= 0.03 AND top-1 agreement >= 95%.
# Same engine (1.0.13) and same boot shape as the reference RECORD
# (run-swift15-bf16.sh kld): disk-tier, no speculation, deterministic, fp8 KV.
# --kld-ref reads its tokens from the reference (no --kld-corpus here — the
# (run-swift15-bf16.sh kld): 1.0.13, tp 2, disk-tier, fp8 KV, no speculation,
# deterministic, max-model-len 16384, vram-kv 3072, 4 slots. Two deviations
# are forced by the w4 file: MNBT 2048 (the w4 kernels stream from the file
# tier ONLY at MNBT<=2048 — at the recording's 32768 the engine demands a
# widened form: "DID NOT FIT ... stored form is not the container's"), and
# pool 40960 (the recording's 12 GiB pool predates the w4 tables; at 12288 the
# gate_up slab cannot be cached). Chunk size is softmax-invariant, so the
# MNBT delta is float-order noise riding on the KL floor.
set -uo pipefail
PIN=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
C=swift15gate
LOG=/home/dank/logs/swift15_kldgate.log
KLD_REF_DIR=/home/dank/corpora/kld-ref
KLD_OUT=/home/dank/radiance-state/kld-gate.json
[ -d "$KLD_REF_DIR" ] || { echo "missing reference: $KLD_REF_DIR"; exit 2; }
: > "$KLD_OUT"
cp -f /home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja \
/home/dank/models/tpl.jinja 2>/dev/null || true
sudo systemctl stop frank-archon >/dev/null 2>&1 || true
podman rm -f "$C" >/dev/null 2>&1 || true
podman run --rm --name "$C" \
--network host --init \
--security-opt seccomp=unconfined \
--ulimit memlock=-1:-1 \
--device /dev/kfd --device /dev/dri \
-v /home/dank/models:/models:ro \
-v /home/dank/radiance-state:/data \
-v "$KLD_REF_DIR:/data/kld-ref:ro" \
"stilldeadcode/radiance@$PIN" \
--model /models/rad/qwen4exp-swift15-w4dn8-i8-hc8m.rad \
--tp 2 --placement expert_tiered --weights-disk-tier \
--host-pool-mib 40960 --deterministic --gpu-headroom-mib 768 \
--num-speculative-tokens 0 \
--kv-cache-dtype fp8 --max-model-len 16384 \
--ngram-placement ram \
--override-chat-template /models/tpl.jinja \
--kld-ref /data/kld-ref --kld-out /data/kld-gate.json \
--vram-kv-mib 3072 \
--max-num-seqs 4 --max-num-batched-tokens 2048 \
2>&1 | tee "$LOG"
rc=${PIPESTATUS[0]}
[ "$rc" -eq 0 ] || { echo "KLD GATE BOOT FAILED rc=$rc; log: $LOG"; exit "$rc"; }
python3 - "$KLD_OUT" "$LOG" <<'PY'
import json, sys, re
out, log = sys.argv[1], sys.argv[2]
def num(pat):
m = re.findall(pat, open(log, errors="replace").read(), re.I)
return float(m[-1]) if m else None
kl = top1 = None
try:
d = json.load(open(out))
def find(obj, keys):
if isinstance(obj, dict):
for k, v in obj.items():
if any(s in k.lower() for s in keys) and isinstance(v, (int, float)):
return float(v)
for v in obj.values():
r = find(v, keys)
if r is not None: return r
return None
kl = find(d, ("mean_kl", "mean kl", "kl_mean", "mean"))
top1 = find(d, ("top1", "top_1", "top-1", "agreement"))
if top1 is not None and top1 <= 1.0:
top1 *= 100.0
except Exception as e:
print("report JSON unusable (%s); falling back to log" % e)
if kl is None:
kl = num(r"mean[_ ]kl[^0-9]*([0-9]*\.?[0-9]+(?:e[-+][0-9]+)?)")
if top1 is None:
top1 = num(r"top[-_ ]?1[^0-9]*([0-9]*\.?[0-9]+)")
if kl is None or top1 is None:
print("KLD GATE PARSE FAILED: mean_kl=%s top1=%s — inspect %s / %s" % (kl, top1, out, log))
sys.exit(2)
print("KLD GATE: mean KL = %.4f (max 0.03) | top-1 = %.2f%% (min 95.0)" % (kl, top1))
ok = (kl <= 0.03) and (top1 >= 95.0)
print("KLD GATE " + ("PASS" if ok else "FAIL"))
sys.exit(0 if ok else 1)
PY
gate=$?
echo "kld-gate complete rc=$gate; log: $LOG report: $KLD_OUT"
exit "$gate"
+40
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#!/bin/bash
# kld-then-calib.sh — RUNS ON DANKSERVER. Campaign chain: wait for the KLD
# record to finish, verify it, then boot the 1.2.0 calibration server and
# push the 10M-token corpus. One GPU, so the phases serialize; prod is
# restored by each run script's trap.
set -u
KLOG=/home/dank/logs/swift15-kld-driver.log
CLOG=/home/dank/logs/swift15-calib-driver.log
S=/home/dank/serverAppConfigs-swift15/scripts
# Phase 1: KLD record (SKIP_KLD=1 when the record is already complete —
# kld.json's rows count is the receipt; a mid-run script swap can kill the
# wrapper with rc=127 after the engine exited clean).
if [ "${SKIP_KLD:-0}" != 1 ]; then
while ! grep -q "exited rc=" "$KLOG" 2>/dev/null; do sleep 60; done
RC=$(grep -o "exited rc=[0-9]*" "$KLOG" | tail -1)
if [ "$RC" != "exited rc=0" ]; then echo "KLD FAILED ($RC); calib NOT started"; exit 1; fi
fi
N=$(find /home/dank/corpora/kld-ref -type f | wc -l)
SZ=$(du -sm /home/dank/corpora/kld-ref | cut -f1)
echo "KLD OK files=$N size_mib=$SZ"
[ "$N" -ge 5 ] && [ "$SZ" -ge 1000 ] || { echo "kld-ref looks thin; calib NOT started"; exit 1; }
grep -q '"rows": 50235' /home/dank/corpora/kld-ref/kld.json || {
echo "kld.json rows != 50235; calib NOT started"; exit 1; }
# Phase 2: calibration serve (1.2.0) + corpus push.
nohup bash "$S/run-swift15-bf16.sh" calib > "$CLOG" 2>&1 &
CP=$!
for _ in $(seq 1 160); do
sleep 15
curl -sf localhost:7770/health >/dev/null 2>&1 && break
done
if ! curl -sf localhost:7770/health >/dev/null 2>&1; then
echo "CALIB BOOT FAILED; see /home/dank/logs/swift15_bf16.log"; kill "$CP" 2>/dev/null; exit 1
fi
echo "CALIB UP, pushing corpus"
python3 "$S/calib-push.py" --port 7770 --parallel 16 --container swift15ref --max-rounds 6
PUSH=$?
kill "$CP" 2>/dev/null
sleep 10
echo "CALIB_CHAIN_DONE push=$PUSH grams=$(find /home/dank/corpora/calib -name 'gram.r*.bin' 2>/dev/null | wc -l)"
+133
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#!/usr/bin/env bash
# llm-gates.sh — the artifact gates every LLM endpoint runs before it starts.
#
# Why this file exists: every LLM endpoint gates its payload twice — the
# serve script at start, the deployer before dispatch. Two hand-written
# copies of the same checks drift apart in wording and strictness, and the
# drift surfaces as deploy-time disagreement: one side passes, the other
# refuses, and the failure lands in production instead of in the gate.
# Both sides source this library, so the refusal is one text and one rule.
#
# Contract (public interface):
# require_exec PATH LABEL HINT
# require_file PATH LABEL HINT
# require_bytes PATH LABEL WANT_BYTES HINT
# require_min_mib PATH LABEL MIN_MIB HINT
# require_dir_files DIR LABEL HINT FILE...
# require_image REF HINT
#
# Each returns 0 and prints nothing on success. On failure it prints two
# lines to stderr — the first naming the endpoint ($GATE_PREFIX) and the
# artifact, the second the remedy — and returns 1. It NEVER exits: the serve
# scripts run under `set -e` (so a refusal is terminal), while the deployer
# wants `|| return 1` so a failed gate reports a red deploy for that one
# service and the dispatcher's state marker stays pending.
# Lines are labelled by ARTIFACT CLASS, and the class is the whole label
# (the path rides in the same line): the class + path is what an operator
# acts on, so no wording order and no payload rename can make the two twins
# disagree. The deployer's old "halogen vision tower" and the serve script's
# "vision-tower" were one gate in two vocabularies that no grep could join.
# Size checks use equality, not a floor, for `require_bytes`: a fetch that
# truncates looks like a success (an HTTP error exit is often swallowed, and
# the error body is written in the artifact's place), so "exists and is big
# enough" is not proof of the right artifact. The declared byte count is a
# contract in both directions — a bigger file is a DIFFERENT artifact.
# GATE_PREFIX names the endpoint in every refusal (e.g. frank-dragoon). The
# caller exports it; shellcheck cannot follow it across the source boundary,
# so the read site carries the directive.
# shellcheck disable=SC2034
: "${GATE_PREFIX:=gate}"
# Two bash behaviors make the `return 1` at every call site load-bearing:
# * a function whose body ends inside an `if` returns the CONDITION's
# status (true = 0), so a gate that ends on its own refusal prints the
# refusal and reports SUCCESS;
# * `set -e` is suspended for any command in a `… || …` chain, so a gate
# that runs inside one must not be trusted to abort the caller.
# Every gate's refusal therefore carries an explicit `|| return 1`, and the
# caller consumes the status (`|| exit 1`, `|| return 1`).
_gate_fail() {
printf '%s: %s\n' "$GATE_PREFIX" "$1" >&2
printf ' hint: %s\n' "$2" >&2
return 1
}
# require_file — PATH must be a regular file. A directory (an unpacked
# staging dir wearing the payload's name) and a symlink (a HuggingFace cache
# snapshot's entry, which dangles inside the container mount) both refuse.
require_file() {
local path="$1" label="$2" hint="$3"
if [[ -L "$path" || ! -f "$path" ]]; then
_gate_fail "$label: missing at $path" "$hint" || return 1
fi
return 0
}
# require_exec — PATH must be an executable regular file. The native runtimes
# (llama.cpp's llama-server) are binaries the operator builds; a tree that
# compiled but lost its +x, or a directory wearing the binary's name, must
# refuse the same way a missing one does.
require_exec() {
local path="$1" label="$2" hint="$3"
if [[ -L "$path" || ! -x "$path" ]]; then
_gate_fail "$label: missing at $path" "$hint" || return 1
fi
return 0
}
# require_bytes — PATH must exist AND be exactly WANT_BYTES bytes.
require_bytes() {
local path="$1" label="$2" want="$3" hint="$4" got
require_file "$path" "$label" "$hint" || return 1
got="$(stat -c %s "$path")"
if [[ "$got" != "$want" ]]; then
_gate_fail "$label: is $got bytes, expected $want" "$hint" || return 1
fi
return 0
}
# require_min_mib — PATH must be at least MIN_MIB mebibytes. The floor form
# is for build products (a .rad container is a range of legal sizes; a
# truncated convert is not).
require_min_mib() {
local path="$1" label="$2" min="$3" hint="$4" mib
require_file "$path" "$label" "$hint" || return 1
mib=$(( $(stat -c %s "$path") / 1048576 ))
if (( mib < min )); then
_gate_fail "$label: is $mib MiB, expected >= $min MiB" "$hint" || return 1
fi
return 0
}
# require_dir_files — DIR must be a directory and every named member a
# regular file, never a symlink: snapshot layouts link files into place, and
# a link dangles inside the container mount even when the directory itself
# is real. A symlinked DIRECTORY is refused too — the same layout can link
# the directory itself, and the link dangles identically.
require_dir_files() {
local dir="$1" label="$2" hint="$3"
shift 3
local f
if [[ -L "$dir" || ! -d "$dir" ]]; then
_gate_fail "$label: missing at $dir" "$hint" || return 1
fi
for f in "$@"; do
if [[ -L "$dir/$f" || ! -f "$dir/$f" ]]; then
_gate_fail "$label: $dir/$f is missing or a symlink" "$hint" || return 1
fi
done
return 0
}
# require_image — the image ref must be in podman storage. A name@sha256 ref
# exists only if THAT manifest was pulled, so the gate is the ref itself, in
# one command: no pipefail/grep race (the 2026-09-30 lesson).
require_image() {
local ref="$1" hint="$2"
if ! podman image exists "$ref"; then
_gate_fail "image: $ref is not in podman storage" "$hint" || return 1
fi
return 0
}
+317
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#!/usr/bin/env python3
"""Build the two Swift1.5 campaign corpora (calibration + KLD).
calib.jsonl — 10M tokens of agent-shaped RAW text (45% code, 30% prose,
25% tool-call JSON), one {"prompt": text} per line, pushed to
/v1/completions with max_tokens=1 during the calibration run (the Hessian
tap is of the prompt tokens; docs/MOE-W4.md step 2). Code and prose mix
the repo checkout with HF dataset parquets (Frank's call 2026-10-06:
local material is only ~1.6M unique tokens; MOE-W4 wants 10M):
nampdn-ai/tiny-codes (code) and Salesforce/wikitext wikitext-103-raw
(prose). Tool calls are synthesized from commands harvested from the
repo's own scripts plus a fleet-ops set, with argument-shaped variants.
kld.jsonl — 1.8M tokens, one {"prompt", "score_from", "source"} per
line; each prompt is a multi-turn conversation rendered through the
Froggeric v22.5 template with a >= --kld-min-prompt (8192) token target,
and the last 256 tokens (the tail of the assistant answer) are the
scored span: score_from = n - 256. At 8k-token prompts the 1.8M corpus
is ~220 prompts = ~56k scored positions ~= 25 GB of record, matching
the published Flash-Next KLD scale (83k positions, MOE-W4.md). The KLD
reference run and every candidate run consume the SAME file (TOOLS.md
--kld-record / --kld-ref). The KLD corpus is LOCAL material only, so the
file-level disjointness rule (fnv1a64(path) % 5 == 0 -> KLD pool) is
untouched by the HF additions.
Deps: tokenizers, jinja2, pyarrow (venv /home/dank/venvs/radcorpus).
Usage: make-calib-corpus.py --repo ROOT --tokenizer-json PATH
--template PATH --out-dir DIR [--hf-code-parquet F,F]
[--hf-prose-parquet F,F] [--calib-tokens 10000000]
[--kld-tokens 1800000]
"""
import argparse
import json
import os
import random
import re
from jinja2 import Environment, FileSystemLoader
from tokenizers import Tokenizer
CODE_EXT = (".sh", ".py", ".jinja", ".recipe", ".env", ".example",
".yaml", ".yml", ".bats", ".service", ".container", ".toml")
JSONL_EXTS = (".jsonl", ".json")
DOC_DIR = "serverAppConfigs-docs"
FLEET_CMDS = [
"systemctl status frank-archon --no-pager",
"journalctl -u frank-archon -n 100 --no-pager",
"podman ps --format '{{.Names}} {{.Status}}'",
"podman logs --tail 50 frank-archon",
"curl -s http://192.168.0.235:7770/health",
"curl -s http://192.168.0.235:7770/metrics | grep radiance_",
"df -h /home/dank | tail -1",
"free -g",
"sudo systemctl restart frank-archon",
"cd /home/dank/serverAppConfigs && git pull --ff-only",
"./scripts/deploy.sh dankserver --service frank-archon",
"./tests/run.sh 2>&1 | tail -5",
"jq . /home/dank/models/rad/index.json | head -40",
"python3 -c \"import json; print(json.load(open('config.json'))['num_hidden_layers'])\"",
"ip neigh show 192.168.0.235",
"amdgpu_top --device-info 2>/dev/null | head -20",
"grep -E 'MemAvailable' /proc/meminfo",
"sha256sum model-00001-of-00131.safetensors",
"git log --oneline -10",
"awk '{s+=$1} END {print s}' shard_sizes.txt",
]
TOOL_NAMES = ["bash", "read", "grep", "web_search", "edit", "write"]
WORKDIRS = ["/home/dank", "/home/dank/serverAppConfigs", "/home/dank/models",
"/etc/systemd/system", "/var/log"]
DESCS = ["check service state", "tail the engine ledger", "list containers",
"query health", "read metrics", "check disk", "check memory",
"restart the endpoint", "sync the checkout", "run deployer",
"run the test seams", "inspect the index", "probe the peer"]
def fnv(s: str) -> int:
h = 0xcbf29ce484222325
for b in s.encode():
h = ((h ^ b) * 0x100000001b3) & 0xFFFFFFFFFFFFFFFF
return h
def harvest_cmds(repo: str, rng: random.Random) -> list[str]:
cmds = list(FLEET_CMDS)
pat = re.compile(r"^\s*(?:sudo\s+)?([a-z][\w./-]*(?:\s+\S+){1,6})\s*$")
for root, dirs, files in os.walk(repo):
dirs[:] = [d for d in dirs if not d.startswith(".")]
for f in files:
if not f.endswith(".sh"):
continue
try:
for line in open(os.path.join(root, f), encoding="utf-8",
errors="replace"):
m = pat.match(line.rstrip())
if m and len(m.group(1)) > 12:
cmds.append("ssh dank@192.168.0.235 '"
+ m.group(1)[:90] + "'")
except OSError:
pass
rng.shuffle(cmds)
return cmds[:4000]
def tool_call(rng: random.Random, cmds: list[str]) -> str:
"""One agent turn: 2-4 tool calls with argument-shaped JSON."""
parts = []
for _ in range(rng.randint(2, 4)):
args: dict = {"command": rng.choice(cmds)}
if rng.random() < 0.4:
args["cwd"] = rng.choice(WORKDIRS)
if rng.random() < 0.3:
args["timeout"] = rng.choice([10, 30, 60, 300, 600])
if rng.random() < 0.5:
args["description"] = rng.choice(DESCS)
parts.append('<tool_call>{"name": "%s", "arguments": %s}<|im_end|>'
% (rng.choice(TOOL_NAMES),
json.dumps(args, ensure_ascii=False)))
return "\n".join(parts)
def load_parquet_texts(path: str, kind: str, rng: random.Random,
cap: int) -> list[str]:
import pyarrow.parquet as pq
d = pq.read_table(path).to_pydict()
n = len(next(iter(d.values())))
idx = range(n) if n <= cap else rng.sample(range(n), cap)
out = []
for i in idx:
if kind == "code":
if "content" in d:
frag = d["content"][i]
else:
frag = ("// %s\n### Instruction:\n%s\n### Response:\n%s"
% (d.get("file_name", [""])[i], d["prompt"][i],
d["code"][i] or d["response"][i]))
else:
frag = d["text"][i]
if frag and frag.strip():
out.append(frag[:8000])
rng.shuffle(out)
return out[:cap]
def main() -> None:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("--repo", required=True)
ap.add_argument("--tokenizer-json", required=True)
ap.add_argument("--template", required=True)
ap.add_argument("--out-dir", required=True)
ap.add_argument("--calib-tokens", type=int, default=10_000_000)
ap.add_argument("--kld-tokens", type=int, default=1_800_000)
ap.add_argument("--chunk-tokens", type=int, default=8192)
ap.add_argument("--score-tail", type=int, default=256)
ap.add_argument("--kld-min-prompt", type=int, default=8192)
ap.add_argument("--hf-code-parquet", default="")
ap.add_argument("--hf-prose-parquet", default="")
ap.add_argument("--seed", type=int, default=20261006)
a = ap.parse_args()
rng = random.Random(a.seed)
tokenizer = Tokenizer.from_file(a.tokenizer_json)
env = Environment(loader=FileSystemLoader(os.path.dirname(a.template)),
trim_blocks=True, lstrip_blocks=True)
env.filters["tojson"] = lambda v: json.dumps(v, ensure_ascii=False)
env.filters["raise_exception"] = lambda m: (_ for _ in ()).throw(
ValueError(m))
tname = os.path.basename(a.template)
code, prose, jsonl = [], [], []
for root, dirs, files in os.walk(a.repo):
dirs[:] = [d for d in dirs if not d.startswith(".")]
for f in sorted(files):
p = os.path.relpath(os.path.join(root, f), a.repo)
if DOC_DIR in p and f.endswith(".md"):
prose.append(p)
elif p.startswith(DOC_DIR):
pass
elif f.endswith(CODE_EXT):
code.append(p)
elif f.endswith(JSONL_EXTS) and f != "package-lock.json":
jsonl.append(p)
# file-level split: bucket 0 -> KLD pool, 1..4 -> calibration pool
pools: dict[str, tuple[list, list]] = {}
for cls, lst in (("code", code), ("prose", prose), ("tools", jsonl)):
pools[cls] = ([p for p in lst if fnv(p) % 5 == 0],
[p for p in lst if fnv(p) % 5 != 0])
def text_of(p: str) -> str:
path = os.path.join(a.repo, p)
raw = open(path, encoding="utf-8", errors="replace").read()
if p.endswith(JSONL_EXTS):
lines = [json.loads(l)["content"] for l in raw.splitlines()
if l.strip() and "content" in l]
raw = "\n".join(lines)
toks = tokenizer.encode(raw, add_special_tokens=False).ids
return tokenizer.decode(toks[:2400], skip_special_tokens=True)
cmds = harvest_cmds(a.repo, rng)
# fragment pools per class, corpus-split first
frags: dict[str, dict[str, list[str]]] = {}
for cls in pools:
kld_files, cal_files = pools[cls]
fr = {}
src = {"kld": kld_files, "cal": cal_files}
if cls == "tools":
fr["kld"] = [tool_call(rng, cmds) for _ in range(600)]
fr["cal"] = [tool_call(rng, cmds) for _ in range(40000)]
else:
fr["kld"] = [text_of(p) for p in src["kld"]]
fr["cal"] = [text_of(p) for p in src["cal"]]
frags[cls] = fr
# per-class fragment caps: prose rows are short (~66 tok) so need many;
# codeparrot files are long (~2.6k tok) so a small cap suffices
hfcap = {"code": 40000, "prose": 60000, "tools": 0}
for cls, spec in (("code", a.hf_code_parquet),
("prose", a.hf_prose_parquet)):
for path in [p for p in spec.split(",") if p]:
frags[cls]["cal"].extend(
load_parquet_texts(path, cls, rng, cap=hfcap[cls]))
for cls in frags:
rng.shuffle(frags[cls]["cal"])
def toks(s: str) -> int:
return len(tokenizer.encode(s, add_special_tokens=False).ids)
def emit_calib() -> tuple[int, list[dict]]:
targets = {"code": .45, "prose": .30, "tools": .25}
rows: list[dict] = []
for cls, frac in targets.items():
want = int(a.calib_tokens * frac)
pool = frags[cls]["cal"]
if not pool:
continue
got, i, buf, nbuf = 0, 0, [], 0
while got < want:
frag = pool[i % len(pool)]
i += 1
n = toks(frag)
if nbuf + n > a.chunk_tokens and buf:
rows.append({"prompt": "\n".join(buf), "cls": cls})
got += nbuf
buf, nbuf = [], 0
if got >= want:
break
buf.append(frag)
nbuf += n
if i > len(pool) * 40:
break # pool exhausted with repeats; stop
if buf and got < want:
rows.append({"prompt": "\n".join(buf), "cls": cls})
got += nbuf
print(f"calib {cls}: {got} tokens, {i} fragments")
rng.shuffle(rows)
return len(rows), [{k: v for k, v in r.items() if k == "prompt"}
for r in rows]
def emit_kld() -> tuple[int, list[dict]]:
rows, total = [], 0
classes = ["code", "prose", "tools"]
i = {c: 0 for c in classes}
guard = 0
while total < a.kld_tokens and guard < 5000:
guard += 1
msgs, srcs = [], []
for t in range(rng.choice([2, 3, 4])):
cls = classes[(len(rows) + t) % 3]
pool = frags[cls]["kld"]
if not pool:
continue
frag = pool[i[cls] % len(pool)]
i[cls] += 2
msgs.append({"role": "user",
"content": "Summarize and explain this "
f"engineering material:\n{frag}"})
msgs.append({"role": "assistant",
"content": frag[:4000]})
srcs.append(cls)
rendered = env.get_template(tname).render(
messages=msgs, add_generation_prompt=False)
n = toks(rendered)
if n < a.kld_min_prompt:
continue
rows.append({"prompt": rendered,
"score_from": n - a.score_tail,
"source": "+".join(sorted(set(srcs)))})
total += n
return len(rows), rows
os.makedirs(a.out_dir, exist_ok=True)
nc, rows = emit_calib()
with open(os.path.join(a.out_dir, "calib.jsonl"), "w") as f:
for r in rows:
f.write(json.dumps(r) + "\n")
nk, krows = emit_kld()
with open(os.path.join(a.out_dir, "kld.jsonl"), "w") as f:
for r in krows:
f.write(json.dumps(r) + "\n")
scored = sum(len(tokenizer.encode(r["prompt"], add_special_tokens=False).ids)
- r["score_from"] for r in krows)
manifest = {
"seed": a.seed, "template": tname,
"tokenizer": os.path.basename(a.tokenizer_json),
"calib_prompts": nc, "kld_prompts": nk,
"kld_scored_positions": scored,
"kld_score_tail": a.score_tail,
"disjoint_file_pools": "local KLD material only; HF code feeds calib",
"calib_mix": {"code": .45, "prose": .30, "tools": .25},
"hf_code": a.hf_code_parquet, "hf_prose": a.hf_prose_parquet,
}
with open(os.path.join(a.out_dir, "manifest.json"), "w") as f:
json.dump(manifest, f, indent=1)
print(json.dumps(manifest, indent=1))
if __name__ == "__main__":
main()
@@ -2,7 +2,7 @@
#
# STATUS: WIP — first of three patches in the "compile the GLM trunk" changelist. The
# set does NOT yet boot the engine (see 03 for the next blocker), so it is NOT part of
# the deployed frank-primary shape. Nothing in scripts/ mounts these files.
# the deployed frank-archon shape. Nothing in scripts/ mounts these files.
#
# WHY THIS IS THE RIGHT LEVER (measured 2026-09-30, not inferred):
#
@@ -29,10 +29,11 @@
# 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.
# * 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:
# * Why not inheritance: adding SupportsEagle3 as a BASE class 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 base ordering cannot take another). The
# attribute route avoids the MRO entirely; simulation confirms that
# the four-base ForCausalLM ordering cannot take SupportsEagle3 in ANY
# position.
# * Method placement: without inheriting, the Protocol's default
+1 -1
View File
@@ -1,6 +1,6 @@
# gpu_worker-kv-cap.patch — fork-local fix for the expert-offload KV cap.
#
# STATUS: NOT part of the deployed frank-primary shape. It exists because the
# STATUS: NOT part of the deployed frank-archon shape. It exists because the
# fork's plan under-models this model's KV, and it is the enabler for a future
# MTP attempt (the production GLM shape runs without MTP and boots fine on the
# plan's own reserve).
+149
View File
@@ -0,0 +1,149 @@
#!/usr/bin/env python3
"""probe-frank-archon-kv.py — verify the 2 x 200,000 KV contract on a LIVE
frank-archon (radiance) service. Run it ON dankserver: it talks to
127.0.0.1:7770 and builds its prompts from the repo checkout there.
No scratch container, no mask: the service under test is the service.
ssh dankserver 'python3 /home/dank/serverAppConfigs/scripts/probe-frank-archon-kv.py'
Three 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).
Method: >=128 generated tokens (below that, first-token latency
dominates the decode rate), greedy (sampling noise is unattributable),
real text (synthetic text inflates draft acceptance).
B the capacity contract — TWO concurrent chats of ~197k prompt tokens
(~394k tokens resident) each carrying a unique marker at its head. Both
must answer their own marker. This is what a 2 x 200,000 endpoint owes:
two full-height conversations resident at once, exact retrieval in both.
C prefix-cache restore — probe A's cold prompt again, so the disk tier has
to give the blocks back (cache_n > 0, TTFT collapses).
PROBE PITFALL: radiance routes the thinking block to
`reasoning_content`, so a chat request whose budget is spent inside
`<think>` returns EMPTY `content` with `finish_reason: stop`. A probe that
reads `content` alone scores 0/2 on a healthy server. Every request here
sets chat_template_kwargs.enable_thinking=false and reads both fields.
A/B method for a shape change (no scratch container): write a variant env file
on the host, point a transient systemd drop-in at it
(`Environment=FRANK_ARCHON_ENV_FILE=...` — drop-ins are read AFTER the unit's
own Environment= lines, so they win), restart, probe, delete the drop-in,
daemon-reload, restart. `systemctl mask` is not available: the unit file in
/etc/systemd/system is a relink symlink into the checkout.
"""
import json
import glob
import time
import urllib.request
import concurrent.futures
BASE = "http://127.0.0.1:7770"
MODEL = "frank-archon"
REPO = "/home/dank/serverAppConfigs"
GLOBS = [f"{REPO}/scripts/*.sh", f"{REPO}/serverAppConfigs-docs/**/*.md"]
def post(payload, timeout=1800):
req = urllib.request.Request(
BASE + "/v1/chat/completions",
data=json.dumps(payload).encode(),
headers={"Content-Type": "application/json"},
)
t0 = time.time()
with urllib.request.urlopen(req, timeout=timeout) as r:
body = json.loads(r.read().decode())
hdr = dict(r.headers.items())
return body, time.time() - t0, hdr
def get(path, timeout=60):
with urllib.request.urlopen(BASE + path, timeout=timeout) as r:
return json.loads(r.read().decode())
def corpus(min_chars):
files = []
for g in GLOBS:
files.extend(sorted(glob.glob(g, recursive=True)))
out, total = [], 0
for f in files:
try:
t = open(f, encoding="utf-8", errors="replace").read()
except OSError:
continue
out.append(t)
total += len(t)
if total > min_chars:
break
return "".join(text for text in out)
def prompt(text, chars, salt, fact):
"""Real repo text, salted so the prefix cache cannot answer, marker planted
near the head, question at the tail."""
head = f"\n[SALT {salt}] confidential marker: {fact}\n"
body = text + text
p = (head + body * max(1, chars // len(body)))[:chars]
return p + "\n\nQuestion: what is the confidential marker in the " \
"SALT block near the top of this document? Answer with the marker " \
"alone, no other words.\n"
def chat(text, chars, salt, fact, max_tokens):
return {"model": MODEL,
"messages": [{"role": "user",
"content": prompt(text, chars, salt, fact)}],
"max_tokens": max_tokens, "temperature": 0.0,
"chat_template_kwargs": {"enable_thinking": False}}
def show(tag, j, wall, expect=None):
tim, u = j.get("timings") or {}, j.get("usage", {})
ch = (j.get("choices") or [{}])[0]
msg = ch.get("message") or {}
txt = (msg.get("content") or msg.get("reasoning_content") or "").strip()
acc = (tim["draft_n_accepted"] / tim["draft_n"]) if tim.get("draft_n") else None
line = (f"[{tag}] prompt={u.get('prompt_tokens')} gen={u.get('completion_tokens')} "
f"wall={wall:.1f}s prefill={tim.get('prompt_per_second', 0):.0f} t/s "
f"decode={tim.get('predicted_per_second', 0):.1f} t/s "
f"draft={tim.get('draft_n')}/{tim.get('draft_n_accepted')} "
f"accept={acc if acc is None else round(acc, 4)} "
f"cache_n={tim.get('cache_n')} finish={ch.get('finish_reason')}")
if expect:
hit = expect.split("-")[0] in txt.lower()
line += f" expected={expect} answered={txt[:80]!r} HIT={hit}"
print(line)
def main():
print("health:", json.dumps(get("/health")))
print("models:", [m.get("id") for m in get("/v1/models").get("data", [])])
deep = corpus(160_000)
wide = corpus(1_100_000)
facts = {"B1": "cobalt-harbor-13", "B2": "quartz-meadow-42"}
bodies = {s: chat(wide, 646_000, s, f, 24) for s, f in facts.items()}
print(f"[B] {len(bodies['B1']['messages'][0]['content']):,} chars per "
f"request, x2 concurrent")
# A + C first (cheap), B last (the expensive pair).
for tag, salt in (("A-cold", "A1-9137"), ):
j, wall, _ = post(chat(deep, 140_000, salt, "zephyr-lantern-7", 512))
show(tag, j, wall, "zephyr-lantern-7")
t0 = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=2) as ex:
futs = {s: ex.submit(post, b) for s, b in bodies.items()}
for s, fut in futs.items():
try:
j, wall, _ = fut.result()
show(f"B-{s}", j, wall, facts[s])
except Exception as e: # a preemption/timeout lands here
print(f"[B-{s}] FAILED after {time.time() - t0:.1f}s: {e!r}")
print(f"[B] total {time.time() - t0:.1f}s")
j, wall, _ = post(chat(deep, 140_000, "A1-9137", "zephyr-lantern-7", 512))
show("C-prefix-hit", j, wall, "zephyr-lantern-7")
if __name__ == "__main__":
main()
@@ -0,0 +1,110 @@
# 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 converter declares ONE
# encoding per expert table (qwen4exp_fp8 rad_arch_declare): the served
# kernel covers the whole expert set, and the only legal mixed layout is a
# WHOLE expert kept plain bf16 beside it. That rules out the original
# split tier (down block-fp8 + gate_up w4), which asks one table for two
# encodings.
# 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.
#
# Why down is the calibrated half: the calibration tap rides the down projection, so its GPTQ
# rounding propagates against real down-input Hessians; gate_up shares the same w4 table
# uncalibrated. The published w5dn64 comparison (mean KL 0.0789 -> 0.0717, top-1 92.85% ->
# 93.34%, decode +4%, prefill -19%) is the 5-bit upper bound; this tier trades part of that
# quality back for prefill.
#
# CALIB=DIR rad-convert <Swift1.5-Qwen3.8-Flash-Next checkpoint> \
# --recipe scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe -o qwen4exp-swift15-w4dn8-i8-hc8m.rad
#
# DIR is the calibration directory the bf16 container wrote (RADIANCE_CALIB_DIR, 10M tokens of
# traffic-shaped corpus). Everything not named here is served as the checkpoint holds it (bf16:
# embeddings, the vision tower, the QSA indexer); the first rule that matches a weight decides it.
# The bf16 container is NOT passed with --reuse: the peak-disk arithmetic does not fit (checkpoint +
# container + container + output > purge-freed space), and --reuse only saves a re-read.
# 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. The selection rule is the base
# checkpoint's: 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), padded with that half's next most
# energetic expert.
# PROTECTED-BEGIN (rewritten from Swift's OWN grams by derive-protected-experts.py)
blk.1.ffn_*_exps.271.weight cast dtype=bf16
blk.1.ffn_*_exps.355.weight cast dtype=bf16
blk.2.ffn_*_exps.279.weight cast dtype=bf16
blk.2.ffn_*_exps.413.weight cast dtype=bf16
blk.34.ffn_*_exps.146.weight cast dtype=bf16
blk.34.ffn_*_exps.153.weight cast dtype=bf16
blk.34.ffn_*_exps.407.weight cast dtype=bf16
blk.34.ffn_*_exps.453.weight cast dtype=bf16
blk.37.ffn_*_exps.288.weight cast dtype=bf16
blk.37.ffn_*_exps.377.weight cast dtype=bf16
blk.38.ffn_*_exps.406.weight cast dtype=bf16
blk.38.ffn_*_exps.420.weight cast dtype=bf16
blk.42.ffn_*_exps.37.weight cast dtype=bf16
blk.42.ffn_*_exps.90.weight cast dtype=bf16
blk.42.ffn_*_exps.302.weight cast dtype=bf16
blk.42.ffn_*_exps.388.weight cast dtype=bf16
blk.44.ffn_*_exps.315.weight cast dtype=bf16
blk.44.ffn_*_exps.350.weight cast dtype=bf16
blk.46.ffn_*_exps.290.weight cast dtype=bf16
blk.46.ffn_*_exps.419.weight cast dtype=bf16
blk.47.ffn_*_exps.119.weight cast dtype=bf16
blk.47.ffn_*_exps.143.weight cast dtype=bf16
blk.47.ffn_*_exps.399.weight cast dtype=bf16
blk.47.ffn_*_exps.445.weight cast dtype=bf16
# PROTECTED-END
# (derive-protected-experts.py rewrote this section from Swift's own grams)
# Every other routed expert, trunk and MTP layer alike: u4 codes into the w4nl table, rotated by
# the 128-wide Hadamard, an E4M3 scale a group of 64 under the fixed 2^-13 searched for least
# error as stored, chosen by GPTQ against $CALIB and swept three times by coordinate descent.
# The calibration Grams are down-input Hessians, so down is the calibrated half of the table;
# gate_up has no recording of its own and quantises uncalibrated (said on stderr, as the base
# recipe says). The MTP layer has no recording either. Expert mass: gate_up 150.00 GiB -> ~37.6,
# down 75.00 GiB -> ~18.8: ~56 GiB of experts, ~28 GiB a rank at TP=2 -- well inside the pool.
blk.*.ffn_*_exps.*.weight gptq table=w4nl group=64 scale=fp8_e4m3 scale2=f32 block2=*x* scale2_value=0.0001220703125 transform=fwht128 rule=search cd=3 calib=$CALIB
# Every connection's two mixing matrices -- the 96 trunk connections, the final mixer and the MTP
# head's three -- as E4M3 rows with an f32 scale a group of each row. A 128x128 block cannot cover
# them: lowrank is 320, 2.5 blocks. Down is [320, 10240] and takes a scale every 128 columns; up is
# [10240, 320] and takes four scales a row, 80 columns each.
*_hc_down.weight rtn codes=fp8_e4m3 group=128 scale=f32
*_hc_up.weight rtn codes=fp8_e4m3 group=80 scale=f32
# The MTP head's fc_hidden and fc_embedding, the same rows. They only ever change the drafts.
mtp.fc_hidden.weight rtn codes=fp8_e4m3 group=128 scale=f32
mtp.fc_embedding.weight rtn codes=fp8_e4m3 group=128 scale=f32
# The trunk's block linears as int8, a scale per 128 columns of a row searched for least error.
# The QSA indexer's projection is not one of them: its top-k is a hard choice between blocks, and
# keeping it as the checkpoint holds it costs 20 MB.
blk.*.attn_qg.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.attn_k.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.attn_v.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.attn_output.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.ssm_inz.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.ssm_out.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.ffn_gate_up_shexp.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
blk.*.ffn_down_shexp.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
# The lm_head, int8 with a bf16 scale a row per 128 columns (logits_gemm_i8): at E4M3 it costs
# ~0.6 points of top-1 on its own.
output.weight rtn codes=i8 group=128 scale=bf16 clamp=sym rule=search
# The n-gram table at one fixed E4M3 scale; qwen4exp-w4.recipe says where the value comes from.
# The value sits on a three-octave plateau (2^-13..2^-10, rel_l2 0.02662) with 1.7x headroom over
# the base table's absmax; the prep phase verifies Swift's PLE absmax lands inside the plateau
# before this rule is trusted.
blk.*.ple_ngram.weight rtn codes=fp8_e4m3 block=*x* scale=bf16 rule=fixed scale_value=1.99317932128906e-4
# The MTP head's 2-bit draft head. INERT for this checkpoint: the HF weight map has no
# mtp.draft_head.weight (same as the base), kept for shape parity with the family.
mtp.draft_head.weight rtn codes=u2 zero=u8 group=128 scale=f16
+116
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@@ -0,0 +1,116 @@
#!/usr/bin/env bash
# run-swift15-bf16.sh — RUNS ON DANKSERVER. Boot the no-recipe bf16 Swift1.5
# container for the two offline campaign phases. The engine owns the GPUs, so
# the production unit must be stopped first (this script does it and restores
# on exit, autoresearch pattern: stop, never mask — relinked unit).
#
# kld --kld-record the reference logits from the bf16 model
# (runs the corpus and EXITS; engine writes DIR and leaves)
# calib serve with the calibration tap; a separate driver
# (scripts/calib-push.py) pushes the corpus; the engine writes the
# Hessians at RADIANCE_CALIB_TOKENS and the tap switches itself off.
# Stop this script after calib-push prints TAP_DONE.
#
# Shape = the vendor's bf16 calibration lines (GUIDE.md §4.3:528 + MOE-W4.md
# "calibrate the checkpoint as it ships"): expert_tiered + weights-disk-tier,
# no speculation, deterministic. Large prefill steps because a disk-tier step
# costs the same at 1 token as at 32K. The container declared --max-ctx 4096;
# --max-model-len 16384 exceeds it on purpose (the KLD prompts run to 12,007
# tokens, calib to 8,242) — the boot ledger arbitrates the QSA buffers; if
# declare refuses, re-convert with a wider --max-ctx.
set -uo pipefail
MODE="${1:?usage: run-swift15-bf16.sh kld|calib}"
PIN_1013=sha256:4c3f484564bb2872784e46b0a59cbd71becc9c1e746e301a3596ffae253c322e
PIN_120=sha256:665775ed1d90de6dbb25558e07fc60d20328f1346f96f3c6e00845eb763f01fa
RAD=/home/dank/models/rad/qwen4exp-swift15-bf16.rad
C=swift15ref
LOG=/home/dank/logs/swift15_bf16.log
KLD_REF_DIR=/home/dank/corpora/kld-ref
CALIB_DIR=/home/dank/corpora/calib
KLD_CORPUS=/home/dank/corpora/out/kld.jsonl
restore() { sudo systemctl start frank-archon >/dev/null 2>&1 || true; }
trap restore EXIT
sudo systemctl stop frank-archon >/dev/null 2>&1 || true
podman rm -f "$C" >/dev/null 2>&1 || true
ARGS=(--model /models/rad/qwen4exp-swift15-bf16.rad
--tp 2 --placement expert_tiered --weights-disk-tier
--host-pool-mib 12288 --deterministic --gpu-headroom-mib 768
--num-speculative-tokens 0
--kv-cache-dtype fp8 --max-model-len 16384
--ngram-placement ram
--override-chat-template /models/tpl.jinja)
case "$MODE" in
kld)
# 1.0.13: the engine that will serve the candidate — the reference is
# recorded on the same engine that scores it. The weights slab DERIVES as
# card - headroom - kv, and the disk tier refuses under 9.57 GiB (4.21 of
# layer buffers + 5.36 fixed), so kv is explicit SMALL: recording is
# prefill-only, self-batched at MNBT 32768 = two 16k prompts at a time;
# 4 slots x 16k fp8 (29 KiB/pos, 1.7 GiB) + headroom fits 3072.
IMAGE="stilldeadcode/radiance@$PIN_1013"
mkdir -p "$KLD_REF_DIR"
ARGS+=(--kld-record /data/kld-ref --kld-corpus /data/kld.jsonl
--vram-kv-mib 3072
--max-num-seqs 4 --max-num-batched-tokens 32768)
;;
calib)
# 1.2.0: the calibration tap (RADIANCE_CALIB_DIR + RADIANCE_CALIB_TOKENS)
# lives in the 1.2.0 qwen4exp plugin; 1.0.13 has only the DIR half with an
# unparameterisable threshold. Grams are bf16 activations — engine-invariant.
# Same KV ceiling as kld: the disk-tier weights floor (9.57 GiB) plus
# ~18 GiB of fixed per-rank claims cap the pool near 3.5 GiB on a 32 GiB
# card — pool minus the 2.17 GiB fixed holds ~237k fp8 tokens a rank, so
# the vendor's big-step calibration shape is affordable: MOE-W4.md:244
# measures 640 tok/s at a 32k step against 930 at 55k, and the doc's own
# run drives MNBT 65536. 8 slots x 16k = 131k resident tokens fits the
# pool; the step batches 65k. KLD's observed rate confirmed step size,
# not slot count, is the throughput lever.
IMAGE="stilldeadcode/radiance@$PIN_120"
mkdir -p "$CALIB_DIR"
ARGS+=(--port 7770 --vram-kv-mib 3072
--max-num-seqs 8 --max-num-batched-tokens 65536
--prefix-cache-dir /data/calib-kvcache)
;;
probe)
IMAGE="stilldeadcode/radiance@$PIN_1013"
ARGS+=(--port 7770 --max-num-seqs 8 --max-num-batched-tokens 4096)
;;
*) echo "unknown mode: $MODE" >&2; exit 2 ;;
esac
# The prod template copy, readable from the container: mount the models tree
# ro plus the state dir rw (KLD record + prefix tier land there).
cp -f /home/dank/serverAppConfigs/scripts/qwen38-froggeric-v22.5.jinja \
/home/dank/models/tpl.jinja 2>/dev/null || true
KLD_MOUNT=()
if [ "$MODE" = kld ]; then
# Nested under the /data mount, so these must come after it (line order
# in podman run below): the corpus read-only, the record dir writable.
KLD_MOUNT=(-v "$KLD_CORPUS:/data/kld.jsonl:ro"
-v "$KLD_REF_DIR:/data/kld-ref")
fi
EXTRA_ENV=()
if [ "$MODE" = calib ]; then
EXTRA_ENV=(-v "$CALIB_DIR:/data/calib"
-e RADIANCE_CALIB_DIR=/data/calib
-e RADIANCE_CALIB_TOKENS=10000000)
fi
podman run --rm --name "$C" \
--network host --init \
--security-opt seccomp=unconfined \
--ulimit memlock=-1:-1 \
--device /dev/kfd --device /dev/dri \
-v /home/dank/models:/models:ro \
-v /home/dank/radiance-state:/data \
"${KLD_MOUNT[@]}" \
"${EXTRA_ENV[@]}" \
"$IMAGE" "${ARGS[@]}" 2>&1 | tee "$LOG"
rc=${PIPESTATUS[0]}
echo "swift15-bf16 $MODE exited rc=$rc; log: $LOG"
exit "$rc"
+205
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@@ -0,0 +1,205 @@
#!/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).
#
# 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
# there is no per-boot VRAM planner to second-guess: the boot ledger in the
# log states every budget before anything is allocated (weights vs KV
# split, the expert host pool's coverage of the worst case, the PLE pin,
# the P2P answer per pair) — read it after every resize.
# Deployed shape (2026-10-11): 2 decode slots x 200,000 tokens, bf16
# (unquantized) KV in a 6,912 MiB pool, the weights slab cut to 22,208 MiB to
# pay for it, 44 GiB/rank pinned expert pool, MTP depth 2, prefix cache host
# 8 GiB + disk 64 GiB, PLE pinned in RAM.
#
# The root unit (scripts/frank-archon.service, User=dank,
# LimitMEMLOCK=infinity) grants the pin budget: 2 x 44 GiB expert pools +
# the 47.7 GiB PLE table + 8 GiB prefix host tier — ~147 GiB of pinned
# pages, which is ALSO why this script refuses to start when ttm's
# pages_limit/pages_max cap is under FRANK_ARCHON_TTM_MIN_MIB (see below).
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# The artifact gates are the shared library: the serve script and the
# deployer gate the same payload, and two hand-written copies of the same
# checks drift apart until one side passes what the other refuses. One
# library, one refusal text, one rule.
export GATE_PREFIX=frank-archon
# shellcheck disable=SC1091
source "$SCRIPT_DIR/lib/llm-gates.sh"
ENV_FILE="${FRANK_ARCHON_ENV_FILE:-$SCRIPT_DIR/frank-archon.env}"
if [ ! -f "$ENV_FILE" ]; then
echo "ERROR: frank-archon env file absent: $ENV_FILE" >&2
exit 1
fi
set -a
# shellcheck disable=SC1090
source "$ENV_FILE"
set +a
: "${FRANK_ARCHON_IMAGE:?FRANK_ARCHON_IMAGE must name the radiance image}"
: "${FRANK_ARCHON_MODEL_DIR:?FRANK_ARCHON_MODEL_DIR must name the .rad dir}"
: "${FRANK_ARCHON_MODEL_FILE:?FRANK_ARCHON_MODEL_FILE must name the .rad file}"
: "${FRANK_ARCHON_STATE_DIR:?FRANK_ARCHON_STATE_DIR must name the /data state dir}"
: "${FRANK_ARCHON_CONTAINER:?FRANK_ARCHON_CONTAINER must name the container}"
: "${FRANK_ARCHON_SERVED_NAME:?FRANK_ARCHON_SERVED_NAME must name the alias}"
: "${FRANK_ARCHON_PORT:?FRANK_ARCHON_PORT must be the port}"
: "${FRANK_ARCHON_TEMPLATE:?FRANK_ARCHON_TEMPLATE must name the chat template}"
: "${FRANK_ARCHON_TP:?FRANK_ARCHON_TP must be set}"
: "${FRANK_ARCHON_TP_WIRE:?FRANK_ARCHON_TP_WIRE must be set}"
: "${FRANK_ARCHON_MAX_SEQS:?FRANK_ARCHON_MAX_SEQS must be set}"
: "${FRANK_ARCHON_MAX_MODEL_LEN:?FRANK_ARCHON_MAX_MODEL_LEN must be set}"
: "${FRANK_ARCHON_PLACEMENT:?FRANK_ARCHON_PLACEMENT must be set}"
: "${FRANK_ARCHON_HOST_POOL_MIB:?FRANK_ARCHON_HOST_POOL_MIB must be set}"
: "${FRANK_ARCHON_GPU_HEADROOM_MIB:?FRANK_ARCHON_GPU_HEADROOM_MIB must be set}"
: "${FRANK_ARCHON_VRAM_WEIGHTS_MIB:?FRANK_ARCHON_VRAM_WEIGHTS_MIB must be set}"
: "${FRANK_ARCHON_VRAM_KV_MIB:?FRANK_ARCHON_VRAM_KV_MIB must be set}"
: "${FRANK_ARCHON_KV_DTYPE:?FRANK_ARCHON_KV_DTYPE must be set}"
: "${FRANK_ARCHON_SPEC_TOKENS:?FRANK_ARCHON_SPEC_TOKENS must be set}"
: "${FRANK_ARCHON_MAX_BATCHED_TOKENS:?FRANK_ARCHON_MAX_BATCHED_TOKENS must be set}"
: "${FRANK_ARCHON_PREFIX_HOST_MIB:?FRANK_ARCHON_PREFIX_HOST_MIB must be set}"
: "${FRANK_ARCHON_PREFIX_DISK_MIB:?FRANK_ARCHON_PREFIX_DISK_MIB must be set}"
: "${FRANK_ARCHON_NGRAM_PLACEMENT:?FRANK_ARCHON_NGRAM_PLACEMENT must be set}"
: "${FRANK_ARCHON_TTM_MIN_MIB:?FRANK_ARCHON_TTM_MIN_MIB must be set}"
: "${FRANK_ARCHON_RAD_MIN_MIB:?FRANK_ARCHON_RAD_MIN_MIB must be set}"
# The image gate is the digest-pinned ref itself: a name@sha256 ref exists
# in storage only if THAT manifest was pulled — a retagged look-alike or a
# newer latest does not satisfy it. One command, no pipefail/grep race (the
# 2026-09-30 lesson). Runs as dank: the unit's process uses dank's ROOTLESS
# podman storage (root unit, User=dank — the fleet's frank-archon shape).
require_image "$FRANK_ARCHON_IMAGE" \
"podman pull docker://stilldeadcode/radiance:latest (as dank)" || exit 1
# The payload gate: the .rad container file, sized. A truncated convert
# would otherwise buy a guaranteed long-timeout boot instead of this fast
# failure. The staging dir / raw checkpoint are NOT this script's concern
# (the convert script built the file; its rad-info output is the record).
require_min_mib "$FRANK_ARCHON_MODEL_DIR/$FRANK_ARCHON_MODEL_FILE" \
container "$FRANK_ARCHON_RAD_MIN_MIB" \
"build it: scripts/convert-swift15-w4dn8.sh (rad-info is the record)" || exit 1
require_file "$FRANK_ARCHON_TEMPLATE" template \
"the chat template is vendored: scripts/qwen38-froggeric-v22.5.jinja" || exit 1
mkdir -p "$FRANK_ARCHON_STATE_DIR/kvcache/frank-archon"
# The engine's create is NOT recursive: with only the state dir mounted, its
# "cannot create /data/kvcache/frank-archon: No such file or directory"
# left the SSD prefix tier off (measured 2026-10-06 boot ledger). Pre-create
# the full path on the host so the tier opens on first boot.
mkdir -p "$FRANK_ARCHON_STATE_DIR/tune"
# rad-tune's kernel-selection cache (see the runbook's "Tuning levers"):
# the engine's selector reads $RADIANCE_HOME/tune/<machine>.tune at boot;
# $RADIANCE_HOME defaults to /opt/radiance, which lives in the image, so
# the cache must ride a host mount or it dies with the --rm container
# that wrote it. The dir is pre-created for the same reason as kvcache
# (the engine's create is not recursive).
# GPU access is mandatory; the node paths are knobs so the seam can drive
# this gate on a box without AMD GPUs (production defaults).
DEV_KFD="${FRANK_ARCHON_DEV_KFD:-/dev/kfd}"
DEV_DRI="${FRANK_ARCHON_DEV_DRI:-/dev/dri}"
if [ ! -e "$DEV_KFD" ] || [ ! -d "$DEV_DRI" ]; then
echo "ERROR: GPU device nodes absent ($DEV_KFD, $DEV_DRI)" >&2
exit 1
fi
# TTM preflight: the pinned ledger (~2 x 40 GiB pools + 47.7 GiB PLE + 4 GiB
# prefix host = ~132 GiB) rides TTM's shared pages, capped by ttm's
# pages_limit (the current kernel exposes NO pages_max; the cap function
# takes the min over the knobs that exist). Below FRANK_ARCHON_TTM_MIN_MIB
# the load dies mid-pin with an allocator error instead of this named
# refusal — raise the knob first (runtime sysfs write; kernel cmdline
# fallback + one reboot only if the file is read-only), see the runbook.
# RAISED 2026-10-05 pre-cutover to 52,428,800 pages = 200 GiB.
ttm_cap_mib() {
# min over the knobs THIS kernel exposes — the current kernel has
# pages_limit only (no pages_max); a knob that is absent is skipped,
# not a zero (a zero would refuse a healthy cap).
local v cur="" dir
dir="${FRANK_ARCHON_TTM_SYSFS:-/sys/module/ttm/parameters}"
for p in "$dir/pages_limit" "$dir/pages_max"; do
[ -r "$p" ] || continue
v="$(cat "$p" 2>/dev/null)" || continue
[ -n "$v" ] || continue
v=$(( v * 4 / 1024 ))
if [ "$v" -lt "${cur:-999999999}" ]; then cur=$v; fi
done
echo "${cur:-0}"
}
TTM_CAP="$(ttm_cap_mib)"
if [ "$TTM_CAP" -lt "$FRANK_ARCHON_TTM_MIN_MIB" ]; then
echo "ERROR: ttm pages cap is ${TTM_CAP} MiB, the pinned ledger needs >= $FRANK_ARCHON_TTM_MIN_MIB" >&2
echo "frank-archon: raise /sys/module/ttm/parameters/pages_limit (and pages_max if the kernel exposes one) to >= $FRANK_ARCHON_TTM_MIN_MIB in 4 KiB pages" >&2
exit 1
fi
# A crashed/killed unit can leave the container name registered (systemd
# SIGKILLs conmon before cleanup runs). Clear OUR name plus the legacy
# identities (the FreeToken-era frank-archon-qwen, the retired R9V
# container and the ad hoc experiment containers all hold this GPU); all
# idempotent.
for CTR in $FRANK_ARCHON_LEGACY_CONTAINERS "$FRANK_ARCHON_CONTAINER"; do
podman rm -f "$CTR" >/dev/null 2>&1 || true
done
LOG="${FRANK_ARCHON_LOG:-/home/dank/logs/frank_archon.log}"
mkdir -p "$(dirname "$LOG")"
# Publisher-vetted container contract (docs/DOCKER.md, compose/common.yaml):
# --network host (the server binds the host's addresses directly, no NAT),
# --init (the engine releases the cards on SIGTERM), seccomp=unconfined
# (Docker/podman's default profile refuses io_uring, which the n-gram
# table's reads go through, and the NUMA binding calls the ROCm runtime
# makes for host memory), memlock unbounded (the pinned ledger — legal
# because the root unit grants LimitMEMLOCK=infinity to this dank process),
# /dev/kfd + /dev/dri (render/video groups are moot for a root container).
# The template rides a single-file mount; the .rad dir is ro; /data holds
# the prefix-cache disk tier.
podman run -d --name "$FRANK_ARCHON_CONTAINER" \
--network host \
--init \
--security-opt seccomp=unconfined \
--ulimit memlock=-1:-1 \
--device /dev/kfd --device /dev/dri \
-v "$FRANK_ARCHON_MODEL_DIR":/models:ro \
-v "$FRANK_ARCHON_STATE_DIR":/data \
-v "$FRANK_ARCHON_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
-v "$FRANK_ARCHON_TEMPLATE":/templates/template.jinja:ro \
"$FRANK_ARCHON_IMAGE" \
--model "/models/$FRANK_ARCHON_MODEL_FILE" \
--host :: --port "$FRANK_ARCHON_PORT" \
--served-model-name "$FRANK_ARCHON_SERVED_NAME" \
--override-chat-template /templates/template.jinja \
--tp "$FRANK_ARCHON_TP" --tp-wire "$FRANK_ARCHON_TP_WIRE" \
--max-num-seqs "$FRANK_ARCHON_MAX_SEQS" \
--max-model-len "$FRANK_ARCHON_MAX_MODEL_LEN" \
--placement "$FRANK_ARCHON_PLACEMENT" \
--host-pool-mib "$FRANK_ARCHON_HOST_POOL_MIB" \
--gpu-headroom-mib "$FRANK_ARCHON_GPU_HEADROOM_MIB" \
--vram-weights-mib "$FRANK_ARCHON_VRAM_WEIGHTS_MIB" \
--vram-kv-mib "$FRANK_ARCHON_VRAM_KV_MIB" \
--kv-cache-dtype "$FRANK_ARCHON_KV_DTYPE" \
--prefix-cache-host-mib "$FRANK_ARCHON_PREFIX_HOST_MIB" \
--prefix-cache-dir /data/kvcache/frank-archon \
--prefix-cache-disk-mib "$FRANK_ARCHON_PREFIX_DISK_MIB" \
--ngram-placement "$FRANK_ARCHON_NGRAM_PLACEMENT" \
--num-speculative-tokens "$FRANK_ARCHON_SPEC_TOKENS" \
--max-num-batched-tokens "$FRANK_ARCHON_MAX_BATCHED_TOKENS" \
${FRANK_ARCHON_EXTRA_ARGS:+$FRANK_ARCHON_EXTRA_ARGS} \
> "$LOG" 2>&1
# From here on, this script's lifetime IS the container's: wait returns the
# container's exit code, so a crash is a nonzero ExecStart and the unit's
# Restart=always is real. (systemd stop goes through ExecStop in the unit —
# podman wait alone cannot stop the container child.)
exec podman wait "$FRANK_ARCHON_CONTAINER"
@@ -1,13 +1,13 @@
#!/usr/bin/env bash
# serve-frank-large.sh — frank-large endpoint: halogen-flash-server 0.16.2
# serve-frank-dragoon.sh — frank-dragoon endpoint: halogen-flash-server 0.16.2
# (closed-source engine, image ghcr.io/peonist-ai/halogen-flash-server,
# digest-pinned in frank-large.env) serving the Quat3rnion abliterated
# digest-pinned in frank-dragoon.env) serving the Quat3rnion abliterated
# Swift1.5 finetune of peonist's Qwen3.8-Flash-Next v2 checkpoint on
# Dankclaw's Strix Halo iGPU, host :7770. 2026-10-06 cutover from the
# halogen 27B-dense shape — revert the swap commit's trio to roll back
# (the 27B payload stays on disk).
#
# The engine is driven by `podman run` DIRECTLY (the fleet's frank-primary
# The engine is driven by `podman run` DIRECTLY (the fleet's frank-archon
# pattern): the image starts engine + OpenAI frontend in one container.
# The frontend listens on 8731 inside (HALOGEN_API_PORT default) and is
# published as host 7770; the engine's own token port (8730, no auth)
@@ -26,13 +26,20 @@
# Why containers instead of a bare binary: the payload is .hgn and only
# the flash-server line reads it; it ships as a container; the root unit
# keeps LimitMEMLOCK=infinity for parity and to outlive the login session,
# exactly like frank-primary's.
# exactly like frank-archon's.
set -euo pipefail
# The artifact gates are the shared library — the serve script and the
# deployer refuse the same missing/truncated payload with the same words
# (the 2026-10-01 crash-loop was the two hand-written twins disagreeing).
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
export GATE_PREFIX=frank-dragoon
# shellcheck disable=SC1091
source "$SCRIPT_DIR/lib/llm-gates.sh"
ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
if [ ! -f "$ENV_FILE" ]; then
echo "frank-large: env file not found: $ENV_FILE" >&2
echo "frank-dragoon: env file not found: $ENV_FILE" >&2
exit 1
fi
set -a
@@ -40,81 +47,65 @@ set -a
source "$ENV_FILE"
set +a
: "${FRANK_LARGE_IMAGE:?FRANK_LARGE_IMAGE must name the digest-pinned image}"
: "${FRANK_LARGE_CONTAINER:?FRANK_LARGE_CONTAINER must name the container}"
: "${FRANK_LARGE_PUBLISH:?FRANK_LARGE_PUBLISH must be host:container}"
: "${FRANK_LARGE_MODEL_DIR:?FRANK_LARGE_MODEL_DIR must name the payload dir}"
: "${FRANK_LARGE_CHECKPOINT:?FRANK_LARGE_CHECKPOINT must name the .hgn inside it}"
: "${FRANK_LARGE_CHECKPOINT_BYTES:?FRANK_LARGE_CHECKPOINT_BYTES must pin the size}"
: "${FRANK_LARGE_NGRAM_TABLE:?FRANK_LARGE_NGRAM_TABLE must name the lookup table}"
: "${FRANK_LARGE_NGRAM_BYTES:?FRANK_LARGE_NGRAM_BYTES must pin the table size}"
: "${FRANK_LARGE_VISION_TOWER:?FRANK_LARGE_VISION_TOWER must name the tower}"
: "${FRANK_LARGE_VISION_BYTES:?FRANK_LARGE_VISION_BYTES must pin the tower size}"
: "${FRANK_LARGE_TOKENIZER_FILES:?FRANK_LARGE_TOKENIZER_FILES must list the tokenizer dir contents}"
: "${HALOGEN_MODEL_ID:?HALOGEN_MODEL_ID must be the served alias (frank-large)}"
: "${FRANK_DRAGOON_IMAGE:?FRANK_DRAGOON_IMAGE must name the digest-pinned image}"
: "${FRANK_DRAGOON_CONTAINER:?FRANK_DRAGOON_CONTAINER must name the container}"
: "${FRANK_DRAGOON_PUBLISH:?FRANK_DRAGOON_PUBLISH must be host:container}"
: "${FRANK_DRAGOON_MODEL_DIR:?FRANK_DRAGOON_MODEL_DIR must name the payload dir}"
: "${FRANK_DRAGOON_CHECKPOINT:?FRANK_DRAGOON_CHECKPOINT must name the .hgn inside it}"
: "${FRANK_DRAGOON_CHECKPOINT_BYTES:?FRANK_DRAGOON_CHECKPOINT_BYTES must pin the size}"
: "${FRANK_DRAGOON_NGRAM_TABLE:?FRANK_DRAGOON_NGRAM_TABLE must name the lookup table}"
: "${FRANK_DRAGOON_NGRAM_BYTES:?FRANK_DRAGOON_NGRAM_BYTES must pin the table size}"
: "${FRANK_DRAGOON_VISION_TOWER:?FRANK_DRAGOON_VISION_TOWER must name the tower}"
: "${FRANK_DRAGOON_VISION_BYTES:?FRANK_DRAGOON_VISION_BYTES must pin the tower size}"
: "${FRANK_DRAGOON_TOKENIZER_FILES:?FRANK_DRAGOON_TOKENIZER_FILES must list the tokenizer dir contents}"
: "${HALOGEN_MODEL_ID:?HALOGEN_MODEL_ID must be the served alias (frank-dragoon)}"
: "${HALOGEN_CTX:?HALOGEN_CTX must be set (per-slot window)}"
: "${HALOGEN_KV_POOL_POSITIONS:?HALOGEN_KV_POOL_POSITIONS must be set}"
: "${HALOGEN_KV_SLOTS:?HALOGEN_KV_SLOTS must be set}"
: "${HALOGEN_SPEC_ADAPT:?HALOGEN_SPEC_ADAPT must be set (0 = head always on)}"
# Capture podman's output BEFORE grepping: under `set -o pipefail` the
# `podman images | grep -q` pattern races (grep exits on first match,
# podman dies SIGPIPE 141, pipefail turns the 141 into "no match" — the
# 2026-09-30 deploy refusal).
DIGESTS="$(podman images --format '{{.RepoDigests}}')"
if ! grep -qF "${FRANK_LARGE_IMAGE#*@}" <<<"$DIGESTS"; then
echo "frank-large: image $FRANK_LARGE_IMAGE not in podman storage;" >&2
echo " pull it: podman pull ${FRANK_LARGE_IMAGE%@*}" >&2
exit 1
fi
# The image gate is the digest-pinned ref itself: `podman image exists` takes
# a name@sha256 ref in one command, so a retagged look-alike or a newer
# latest cannot satisfy it and there is no pipefail/SIGPIPE race with grep
# (the 2026-09-30 deploy refusal). Runs as dank: the unit's process uses
# dank's rootless storage.
require_image "$FRANK_DRAGOON_IMAGE" \
"pull it: podman pull docker://$FRANK_DRAGOON_IMAGE" || exit 1
# 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 (fleet fetch law).
ck() {
# ck <env-name> <path> <expected-bytes>
if [ ! -f "$2" ]; then
echo "frank-large: $1 $2 missing;" >&2
echo " fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
exit 1
fi
local sz
sz="$(stat -c %s "$2")"
if [ "$sz" != "$3" ]; then
echo "frank-large: $1 is $sz bytes, expected $3 (partial download?)" >&2
exit 1
fi
}
ck checkpoint "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_CHECKPOINT" "$FRANK_LARGE_CHECKPOINT_BYTES"
ck n-gram-table "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_NGRAM_TABLE" "$FRANK_LARGE_NGRAM_BYTES"
ck vision-tower "$FRANK_LARGE_MODEL_DIR/$FRANK_LARGE_VISION_TOWER" "$FRANK_LARGE_VISION_BYTES"
# Size-exact gates on all three payload files: a truncated download can
# exit 0, and a partial .hgn loads far enough to look alive, so existence
# proves nothing. The byte count published by the Hub tree API is the
# contract: any other size is a different (broken) artifact.
require_bytes "$FRANK_DRAGOON_MODEL_DIR/$FRANK_DRAGOON_CHECKPOINT" \
checkpoint "$FRANK_DRAGOON_CHECKPOINT_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh" || exit 1
require_bytes "$FRANK_DRAGOON_MODEL_DIR/$FRANK_DRAGOON_NGRAM_TABLE" \
n-gram "$FRANK_DRAGOON_NGRAM_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh" || exit 1
require_bytes "$FRANK_DRAGOON_MODEL_DIR/$FRANK_DRAGOON_VISION_TOWER" \
vision "$FRANK_DRAGOON_VISION_BYTES" \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh" || exit 1
# The payload ships the tokenizer as a FLAT DIRECTORY. A HuggingFace cache
# snapshot symlinks each file into a sibling blobs/, and those symlinks
# dangle inside the container mount — so the directory must be real and
# every named file must be a regular file, not a link.
TOK_DIR="$FRANK_LARGE_MODEL_DIR/tokenizer"
if [ -L "$TOK_DIR" ] || [ ! -d "$TOK_DIR" ]; then
echo "frank-large: tokenizer dir $TOK_DIR missing or a symlink (HF cache snapshot?);" >&2
echo " fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
exit 1
fi
for TF in $FRANK_LARGE_TOKENIZER_FILES; do
if [ ! -f "$TOK_DIR/$TF" ] || [ -L "$TOK_DIR/$TF" ]; then
echo "frank-large: tokenizer file $TOK_DIR/$TF missing or a symlink;" >&2
echo " fetch it: bash scripts/download-frank-large-flashnext.sh" >&2
exit 1
fi
done
# The tokenizer file list is word-separated ON PURPOSE (one argument per
# file), so the unquoted expansion below is the interface, not a slip.
# shellcheck disable=SC2086
require_dir_files "$FRANK_DRAGOON_MODEL_DIR/tokenizer" tokenizer \
"fetch it: bash scripts/download-frank-dragoon-flashnext.sh" \
$FRANK_DRAGOON_TOKENIZER_FILES || exit 1
# GPU access is mandatory but the node paths are variables so the seam can
# drive the gate on a box without an AMD GPU.
DEV_KFD="${FRANK_LARGE_DEV_KFD:-/dev/kfd}"
DEV_DRI="${FRANK_LARGE_DEV_DRI:-/dev/dri}"
DEV_KFD="${FRANK_DRAGOON_DEV_KFD:-/dev/kfd}"
DEV_DRI="${FRANK_DRAGOON_DEV_DRI:-/dev/dri}"
if [ ! -e "$DEV_KFD" ] || [ ! -d "$DEV_DRI" ]; then
echo "frank-large: $DEV_KFD or $DEV_DRI missing — no gfx1151 to serve on" >&2
echo "frank-dragoon: $DEV_KFD or $DEV_DRI missing — no gfx1151 to serve on" >&2
exit 1
fi
# Host-RAM preflight — the engine's pin gate, checked BEFORE podman run.
# The engine refuses to pin when MemAvailable is below the checkpoint plus
# a 16 GiB floor: pinned pages cannot be swapped, and under the floor the
@@ -125,15 +116,15 @@ fi
# self-resolved in ~2 min when the dying 27B engine freed RAM. Check here and
# WAIT for the RAM to clear, so a transient dip boots once instead of
# crash-looping; if it never clears, refuse loudly.
MEMINFO="${FRANK_LARGE_MEMINFO:-/proc/meminfo}"
PIN_KB=$(( FRANK_LARGE_CHECKPOINT_BYTES / 1024 ))
MEMINFO="${FRANK_DRAGOON_MEMINFO:-/proc/meminfo}"
PIN_KB=$(( FRANK_DRAGOON_CHECKPOINT_BYTES / 1024 ))
NEED_KB=$(( PIN_KB + 16 * 1048576 ))
ram_avail_kb() { awk '/^MemAvailable:/{print $2; exit}' "$MEMINFO"; }
MEMAVAIL_KB="$(ram_avail_kb)" || MEMAVAIL_KB=""
if [ -n "$MEMAVAIL_KB" ] && [ "$MEMAVAIL_KB" -lt "$NEED_KB" ]; then
WAIT_S="${FRANK_LARGE_RAM_WAIT:-600}"
WAIT_S="${FRANK_DRAGOON_RAM_WAIT:-600}"
GIB() { awk -v kb="$1" 'BEGIN{printf "%.2f", kb/1048576}'; }
echo "frank-large: host RAM below the pin gate — MemAvailable $(GIB "$MEMAVAIL_KB") GiB < needed $(GIB "$NEED_KB") GiB ($(GIB "$PIN_KB") GiB checkpoint + 16.00 GiB floor); waiting up to ${WAIT_S}s for host RAM to clear" >&2
echo "frank-dragoon: host RAM below the pin gate — MemAvailable $(GIB "$MEMAVAIL_KB") GiB < needed $(GIB "$NEED_KB") GiB ($(GIB "$PIN_KB") GiB checkpoint + 16.00 GiB floor); waiting up to ${WAIT_S}s for host RAM to clear" >&2
deadline=$(( $(date +%s) + WAIT_S ))
while [ "$(date +%s)" -lt "$deadline" ]; do
sleep 5
@@ -143,16 +134,16 @@ if [ -n "$MEMAVAIL_KB" ] && [ "$MEMAVAIL_KB" -lt "$NEED_KB" ]; then
fi
done
if [ -z "$MEMAVAIL_KB" ] || [ "$MEMAVAIL_KB" -lt "$NEED_KB" ]; then
echo "frank-large: MemAvailable $(GIB "${MEMAVAIL_KB:-0}") GiB after ${WAIT_S}s; refusing to start (the engine would refuse the pin)" >&2
echo "frank-dragoon: MemAvailable $(GIB "${MEMAVAIL_KB:-0}") GiB after ${WAIT_S}s; refusing to start (the engine would refuse the pin)" >&2
exit 1
fi
echo "frank-large: MemAvailable cleared to $(GIB "$MEMAVAIL_KB") GiB; starting" >&2
echo "frank-dragoon: MemAvailable cleared to $(GIB "$MEMAVAIL_KB") GiB; starting" >&2
fi
for CTR in ${FRANK_LARGE_LEGACY_CONTAINERS:-} "$FRANK_LARGE_CONTAINER"; do
for CTR in ${FRANK_DRAGOON_LEGACY_CONTAINERS:-} "$FRANK_DRAGOON_CONTAINER"; do
podman rm -f "$CTR" >/dev/null 2>&1 || true
done
LOG="${FRANK_LARGE_LOG:-/home/dank/logs/frank_large.log}"
LOG="${FRANK_DRAGOON_LOG:-/home/dank/logs/frank_dragoon.log}"
mkdir -p "$(dirname "$LOG")"
# --ipc=host for the udev-granted supplementary group, seccomp unconfined
# for the ROCm ioctl surface, and unbounded memlock (the unit's
@@ -163,17 +154,17 @@ mkdir -p "$(dirname "$LOG")"
# and both sibling serve scripts pass no nofile either. No comment lines
# inside the backslash chain — a mid-chain # terminates the continuation
# (the 2026-10-05 exit-127 crash loop on the sibling serve script).
podman run --name "$FRANK_LARGE_CONTAINER" \
--publish "$FRANK_LARGE_PUBLISH" \
podman run --name "$FRANK_DRAGOON_CONTAINER" \
--publish "$FRANK_DRAGOON_PUBLISH" \
--ipc=host \
--ulimit memlock=-1:-1 \
--device "$DEV_KFD" --device "$DEV_DRI" \
--group-add keep-groups \
--security-opt seccomp=unconfined \
-e HALOGEN_MODEL_ID="$HALOGEN_MODEL_ID" \
-e HALOGEN_CHECKPOINT="/models/$FRANK_LARGE_CHECKPOINT" \
-e HALOGEN_NGRAM_TABLE="/models/$FRANK_LARGE_NGRAM_TABLE" \
-e HALOGEN_VISION_TOWER="/models/$FRANK_LARGE_VISION_TOWER" \
-e HALOGEN_CHECKPOINT="/models/$FRANK_DRAGOON_CHECKPOINT" \
-e HALOGEN_NGRAM_TABLE="/models/$FRANK_DRAGOON_NGRAM_TABLE" \
-e HALOGEN_VISION_TOWER="/models/$FRANK_DRAGOON_VISION_TOWER" \
-e HALOGEN_TOKENIZER=/tokenizer \
-e HALOGEN_CTX="$HALOGEN_CTX" \
-e HALOGEN_KV_POOL_POSITIONS="$HALOGEN_KV_POOL_POSITIONS" \
@@ -187,9 +178,9 @@ podman run --name "$FRANK_LARGE_CONTAINER" \
-e HALOGEN_TOP_P="${HALOGEN_TOP_P:-0.95}" \
-e HALOGEN_TOP_K="${HALOGEN_TOP_K:-20}" \
${HALOGEN_WEIGHTS_LOCK:+-e HALOGEN_WEIGHTS_LOCK="$HALOGEN_WEIGHTS_LOCK"} \
-v "$FRANK_LARGE_MODEL_DIR:/models:ro" \
-v "$FRANK_LARGE_MODEL_DIR/tokenizer:/tokenizer:ro" \
"$FRANK_LARGE_IMAGE" \
-v "$FRANK_DRAGOON_MODEL_DIR:/models:ro" \
-v "$FRANK_DRAGOON_MODEL_DIR/tokenizer:/tokenizer:ro" \
"$FRANK_DRAGOON_IMAGE" \
> "$LOG" 2>&1
# FOREGROUND `podman run`: the engine's stdout/stderr are this script's
-204
View File
@@ -1,204 +0,0 @@
#!/usr/bin/env bash
# serve-frank-primary.sh — frank-primary endpoint: radiance (StillDeadcode,
# Apache-2.0) serving the OFFICIAL Qwen/Qwen3.8-Flash-Next-FP8 checkpoint at
# NATIVE block-FP8 precision from a rad-convert container
# (/home/dank/models/rad/qwen4exp-fp8-native.rad), on BOTH R9700s (TP=2,
# wht6 wire), dankserver :7770. 2026-10-05 cutover from FreeToken (PR #587,
# one card; git tag frank-primary-freetoken-pr587-20261005 is the
# pre-cutover state).
#
# The run line below IS the engine argv: the image's entrypoint is the
# engine and its tools sit beside it on PATH. Unlike every predecessor
# there is no per-boot VRAM planner to second-guess: the boot ledger in the
# log states every budget before anything is allocated (weights vs KV
# split, the expert host pool's coverage of the worst case, the PLE pin,
# the P2P answer per pair) — read it after every resize. First-boot shape:
# 2 decode slots (Frank's call), 40 GiB/rank pinned expert pool, fp8 KV,
# MTP depth 3, prefix cache host 4 GiB + disk 64 GiB, PLE pinned in RAM.
#
# The root unit (scripts/frank-primary.service, User=dank,
# LimitMEMLOCK=infinity) grants the pin budget: 2 x 40 GiB expert pools +
# the 47.7 GiB PLE table + 4 GiB prefix host tier — ~132 GiB of pinned
# pages, which is ALSO why this script refuses to start when ttm's
# pages_limit/pages_max cap is under FRANK_PRIMARY_TTM_MIN_MIB (see below).
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_PRIMARY_ENV_FILE:-$SCRIPT_DIR/frank-primary.env}"
if [ ! -f "$ENV_FILE" ]; then
echo "ERROR: frank-primary env file absent: $ENV_FILE" >&2
exit 1
fi
set -a
# shellcheck disable=SC1090
source "$ENV_FILE"
set +a
: "${FRANK_PRIMARY_IMAGE:?FRANK_PRIMARY_IMAGE must name the radiance image}"
: "${FRANK_PRIMARY_MODEL_DIR:?FRANK_PRIMARY_MODEL_DIR must name the .rad dir}"
: "${FRANK_PRIMARY_MODEL_FILE:?FRANK_PRIMARY_MODEL_FILE must name the .rad file}"
: "${FRANK_PRIMARY_STATE_DIR:?FRANK_PRIMARY_STATE_DIR must name the /data state dir}"
: "${FRANK_PRIMARY_CONTAINER:?FRANK_PRIMARY_CONTAINER must name the container}"
: "${FRANK_PRIMARY_SERVED_NAME:?FRANK_PRIMARY_SERVED_NAME must name the alias}"
: "${FRANK_PRIMARY_PORT:?FRANK_PRIMARY_PORT must be the port}"
: "${FRANK_PRIMARY_TEMPLATE:?FRANK_PRIMARY_TEMPLATE must name the chat template}"
: "${FRANK_PRIMARY_TP:?FRANK_PRIMARY_TP must be set}"
: "${FRANK_PRIMARY_TP_WIRE:?FRANK_PRIMARY_TP_WIRE must be set}"
: "${FRANK_PRIMARY_MAX_SEQS:?FRANK_PRIMARY_MAX_SEQS must be set}"
: "${FRANK_PRIMARY_MAX_MODEL_LEN:?FRANK_PRIMARY_MAX_MODEL_LEN must be set}"
: "${FRANK_PRIMARY_PLACEMENT:?FRANK_PRIMARY_PLACEMENT must be set}"
: "${FRANK_PRIMARY_HOST_POOL_MIB:?FRANK_PRIMARY_HOST_POOL_MIB must be set}"
: "${FRANK_PRIMARY_GPU_HEADROOM_MIB:?FRANK_PRIMARY_GPU_HEADROOM_MIB must be set}"
: "${FRANK_PRIMARY_EXPERT_VS_CACHE:?FRANK_PRIMARY_EXPERT_VS_CACHE must be set}"
: "${FRANK_PRIMARY_KV_DTYPE:?FRANK_PRIMARY_KV_DTYPE must be set}"
: "${FRANK_PRIMARY_SPEC_TOKENS:?FRANK_PRIMARY_SPEC_TOKENS must be set}"
: "${FRANK_PRIMARY_MAX_BATCHED_TOKENS:?FRANK_PRIMARY_MAX_BATCHED_TOKENS must be set}"
: "${FRANK_PRIMARY_PREFIX_HOST_MIB:?FRANK_PRIMARY_PREFIX_HOST_MIB must be set}"
: "${FRANK_PRIMARY_PREFIX_DISK_MIB:?FRANK_PRIMARY_PREFIX_DISK_MIB must be set}"
: "${FRANK_PRIMARY_NGRAM_PLACEMENT:?FRANK_PRIMARY_NGRAM_PLACEMENT must be set}"
: "${FRANK_PRIMARY_TTM_MIN_MIB:?FRANK_PRIMARY_TTM_MIN_MIB must be set}"
: "${FRANK_PRIMARY_RAD_MIN_MIB:?FRANK_PRIMARY_RAD_MIN_MIB must be set}"
# The image gate is the digest-pinned ref itself: a name@sha256 ref exists
# in storage only if THAT manifest was pulled — a retagged look-alike or a
# newer latest does not satisfy it. `podman image exists` takes a
# name@digest ref in one command — no pipefail/grep race (the 2026-09-30
# lesson). Runs as dank: the unit's process uses dank's ROOTLESS podman
# storage (root unit, User=dank — the fleet's frank-primary shape).
if ! podman image exists "$FRANK_PRIMARY_IMAGE"; then
echo "ERROR: radiance image absent: $FRANK_PRIMARY_IMAGE" >&2
echo "frank-primary: podman pull docker://stilldeadcode/radiance:latest (as dank)" >&2
exit 1
fi
# The payload gate: the .rad container file, sized. A truncated convert
# would otherwise buy a guaranteed long-timeout boot instead of this fast
# failure. The staging dir / raw checkpoint are NOT this script's concern
# (scripts/build-frank-primary-rad.sh built the file; its rad-info output
# is the record).
RAD="$FRANK_PRIMARY_MODEL_DIR/$FRANK_PRIMARY_MODEL_FILE"
if [ ! -f "$RAD" ]; then
echo "ERROR: .rad container missing: $RAD" >&2
echo "frank-primary: run scripts/build-frank-primary-rad.sh" >&2
exit 1
fi
RAD_MIB=$(( $(stat -c %s "$RAD") / 1048576 ))
if [ "$RAD_MIB" -lt "$FRANK_PRIMARY_RAD_MIN_MIB" ]; then
echo "ERROR: .rad container too small: $RAD is ${RAD_MIB} MiB, want >= $FRANK_PRIMARY_RAD_MIN_MIB" >&2
echo "frank-primary: the convert was truncated — rebuild it" >&2
exit 1
fi
if [ ! -f "$FRANK_PRIMARY_TEMPLATE" ]; then
echo "ERROR: chat template missing: $FRANK_PRIMARY_TEMPLATE" >&2
exit 1
fi
mkdir -p "$FRANK_PRIMARY_STATE_DIR/kvcache/frank-primary"
# The engine's create is NOT recursive: with only the state dir mounted, its
# "cannot create /data/kvcache/frank-primary: No such file or directory"
# left the SSD prefix tier off (measured 2026-10-06 boot ledger). Pre-create
# the full path on the host so the tier opens on first boot.
mkdir -p "$FRANK_PRIMARY_STATE_DIR/tune"
# rad-tune's kernel-selection cache (see the runbook's "Tuning levers"):
# the engine's selector reads $RADIANCE_HOME/tune/<machine>.tune at boot;
# $RADIANCE_HOME defaults to /opt/radiance, which lives in the image, so
# the cache must ride a host mount or it dies with the --rm container
# that wrote it. The dir is pre-created for the same reason as kvcache
# (the engine's create is not recursive).
if [ ! -e /dev/kfd ] || [ ! -d /dev/dri ]; then
echo "ERROR: GPU device nodes absent (/dev/kfd, /dev/dri)" >&2
exit 1
fi
# TTM preflight: the pinned ledger (~2 x 40 GiB pools + 47.7 GiB PLE + 4 GiB
# prefix host = ~132 GiB) rides TTM's shared pages, capped by ttm's
# pages_limit (the current kernel exposes NO pages_max; the cap function
# takes the min over the knobs that exist). Below FRANK_PRIMARY_TTM_MIN_MIB
# the load dies mid-pin with an allocator error instead of this named
# refusal — raise the knob first (runtime sysfs write; kernel cmdline
# fallback + one reboot only if the file is read-only), see the runbook.
# RAISED 2026-10-05 pre-cutover to 52,428,800 pages = 200 GiB.
ttm_cap_mib() {
# min over the knobs THIS kernel exposes — the current kernel has
# pages_limit only (no pages_max); a knob that is absent is skipped,
# not a zero (a zero would refuse a healthy cap).
local v cur=""
for p in /sys/module/ttm/parameters/pages_limit /sys/module/ttm/parameters/pages_max; do
[ -r "$p" ] || continue
v="$(cat "$p" 2>/dev/null)" || continue
[ -n "$v" ] || continue
v=$(( v * 4 / 1024 ))
if [ "$v" -lt "${cur:-999999999}" ]; then cur=$v; fi
done
echo "${cur:-0}"
}
TTM_CAP="$(ttm_cap_mib)"
if [ "$TTM_CAP" -lt "$FRANK_PRIMARY_TTM_MIN_MIB" ]; then
echo "ERROR: ttm pages cap is ${TTM_CAP} MiB, the pinned ledger needs >= $FRANK_PRIMARY_TTM_MIN_MIB" >&2
echo "frank-primary: raise /sys/module/ttm/parameters/pages_limit (and pages_max if the kernel exposes one) to >= $FRANK_PRIMARY_TTM_MIN_MIB in 4 KiB pages" >&2
exit 1
fi
# A crashed/killed unit can leave the container name registered (systemd
# SIGKILLs conmon before cleanup runs). Clear OUR name plus the legacy
# identities (the FreeToken-era frank-primary-qwen, the retired R9V
# container and the ad hoc experiment containers all hold this GPU); all
# idempotent.
for CTR in $FRANK_PRIMARY_LEGACY_CONTAINERS "$FRANK_PRIMARY_CONTAINER"; do
podman rm -f "$CTR" >/dev/null 2>&1 || true
done
LOG=/home/dank/logs/frank_primary.log
mkdir -p "$(dirname "$LOG")"
# Publisher-vetted container contract (docs/DOCKER.md, compose/common.yaml):
# --network host (the server binds the host's addresses directly, no NAT),
# --init (the engine releases the cards on SIGTERM), seccomp=unconfined
# (Docker/podman's default profile refuses io_uring, which the n-gram
# table's reads go through, and the NUMA binding calls the ROCm runtime
# makes for host memory), memlock unbounded (the pinned ledger — legal
# because the root unit grants LimitMEMLOCK=infinity to this dank process),
# /dev/kfd + /dev/dri (render/video groups are moot for a root container).
# The template rides a single-file mount; the .rad dir is ro; /data holds
# the prefix-cache disk tier.
podman run -d --name "$FRANK_PRIMARY_CONTAINER" \
--network host \
--init \
--security-opt seccomp=unconfined \
--ulimit memlock=-1:-1 \
--device /dev/kfd --device /dev/dri \
-v "$FRANK_PRIMARY_MODEL_DIR":/models:ro \
-v "$FRANK_PRIMARY_STATE_DIR":/data \
-v "$FRANK_PRIMARY_STATE_DIR/tune":/opt/radiance/share/radiance/tune \
-v "$FRANK_PRIMARY_TEMPLATE":/templates/template.jinja:ro \
"$FRANK_PRIMARY_IMAGE" \
--model "/models/$FRANK_PRIMARY_MODEL_FILE" \
--host :: --port "$FRANK_PRIMARY_PORT" \
--served-model-name "$FRANK_PRIMARY_SERVED_NAME" \
--override-chat-template /templates/template.jinja \
--tp "$FRANK_PRIMARY_TP" --tp-wire "$FRANK_PRIMARY_TP_WIRE" \
--max-num-seqs "$FRANK_PRIMARY_MAX_SEQS" \
--max-model-len "$FRANK_PRIMARY_MAX_MODEL_LEN" \
--placement "$FRANK_PRIMARY_PLACEMENT" \
--host-pool-mib "$FRANK_PRIMARY_HOST_POOL_MIB" \
--gpu-headroom-mib "$FRANK_PRIMARY_GPU_HEADROOM_MIB" \
--expert-vs-cache-ratio "$FRANK_PRIMARY_EXPERT_VS_CACHE" \
--kv-cache-dtype "$FRANK_PRIMARY_KV_DTYPE" \
--prefix-cache-host-mib "$FRANK_PRIMARY_PREFIX_HOST_MIB" \
--prefix-cache-dir /data/kvcache/frank-primary \
--prefix-cache-disk-mib "$FRANK_PRIMARY_PREFIX_DISK_MIB" \
--ngram-placement "$FRANK_PRIMARY_NGRAM_PLACEMENT" \
--num-speculative-tokens "$FRANK_PRIMARY_SPEC_TOKENS" \
--max-num-batched-tokens "$FRANK_PRIMARY_MAX_BATCHED_TOKENS" \
${FRANK_PRIMARY_EXTRA_ARGS:+$FRANK_PRIMARY_EXTRA_ARGS} \
> "$LOG" 2>&1
# From here on, this script's lifetime IS the container's: wait returns the
# container's exit code, so a crash is a nonzero ExecStart and the unit's
# Restart=always is real. (systemd stop goes through ExecStop in the unit —
# podman wait alone cannot stop the container child.)
exec podman wait "$FRANK_PRIMARY_CONTAINER"
-120
View File
@@ -1,120 +0,0 @@
#!/usr/bin/env bash
# Serve ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF
# (RCO-IQ3_XXS, **MTP head in the file**) as frank-secondary on Dankclaw's
# RTX 3090 via llama.cpp (master build, CUDA sm_86).
#
# 2026-10-06 (Frank): TWO 131,072 conversations (262144 / 2) at the 128k
# cap, ubatch 512, and MTP BACK ON (draft-mtp, depth 3 — the payload is
# 1.56 GiB lighter than the IQ3_S-mtp it replaced, which is what funds
# the draft ctx plus the second slot; ngram stays skipped — on a qwen35
# hybrid it disables recurrent-state rollback). The q8_0 KV contract
# (FP8 class) is unchanged; the per-tensor flags stay explicit either
# way.
#
# Architecture: qwen35 hybrid — 64 real layers, 16 full-attention + 48
# Gated DeltaNet (full_attention_interval 4), native 262144 window, plus
# the blk.64 MTP head (nextn_predict_layers=1). KV lives only in the 16
# attention layers (34 KiB/token at q8_0); the DeltaNet state is per-slot
# fixed size.
# Vision comes from the projector file (the GGUF carries no vision
# tensors; the publisher SHIPS mmproj-BF16.gguf in the same repo), 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 its
# recipe from models.yml); greedy is the harness default.
#
# Tunables come from frank-secondary.env unless FRANK_SECONDARY_ENV_FILE overrides.
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_SECONDARY_ENV_FILE:-$SCRIPT_DIR/frank-secondary.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a
# shellcheck disable=SC1090
source "$ENV_FILE"
set +a
fi
# --- defaults (used when the env file does not set them) -------------------
: "${LLAMA_BIN:=/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
: "${MODEL_FILE:=/home/dank/models/Swift15-UncIQ3XXS/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf}"
: "${ALIAS:=frank-secondary}"
: "${BIND_ADDR:=0.0.0.0}"
: "${LISTEN_PORT:=7771}"
# ctx-size is the POOL llama.cpp divides across slots: 262144 / 2 gives
# TWO 131,072 conversations — Frank's 128k cap each. 2026-10-06 (Frank):
# drop MTP, drop ubatch to 512, take two slots; the fit is tight by his
# explicit order (frank-secondary.env carries the arithmetic and the floor
# violation).
: "${CTX_SIZE:=262144}"
: "${PARALLEL:=2}"
# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
# Frank's 2026-10-06 tight-fit order ships 4096/512 (claws back ~0.3 GiB
# toward the second slot); ubatch 1024 is the first A/B back if a future
# boot lands with headroom (a miss fails loud at graph capture). The
# logical batch is VRAM- and throughput-neutral at a fixed ubatch.
: "${BATCH_SIZE:=4096}"
: "${UBATCH_SIZE:=512}"
# KV at FP8 class = q8_0 on llama.cpp (1.0625 B/elem => 8.5 effective bits;
# there is no true fp8 KV dtype). Explicit either way so the contract is
# visible in the argv.
: "${CACHE_TYPE_K:=q8_0}"
: "${CACHE_TYPE_V:=q8_0}"
# Speculative decoding is ON by default (Frank, 2026-10-06 evening):
# draft-mtp against the head that is IN the file. SPEC_TYPE none strips
# BOTH speculative flags (flags move as a set) — a no-spec baseline must
# not carry half a spec pair.
: "${SPEC_TYPE:=draft-mtp}"
: "${SPEC_DRAFT_N_MAX:=3}"
: "${NGL:=99}"
# Vision projector. No colon on purpose: an explicitly empty value means
# "text-only, on purpose" and must NOT be replaced by the default path.
: "${MMPROJ_FILE=/home/dank/models/Swift15-UncIQ3XXS/mmproj-BF16.gguf}"
# Fail loudly rather than half-loading: a missing file is a download that
# has not finished, and Restart=always would turn it into a crash loop that
# reads like a runtime fault.
for path in "$LLAMA_BIN" "$MODEL_FILE"; do
[[ -e "$path" ]] || { echo "frank-secondary: missing $path" >&2; exit 1; }
done
EXTRA_ARGS=()
if [[ -n "$MMPROJ_FILE" ]]; then
[[ -e "$MMPROJ_FILE" ]] || { echo "frank-secondary: missing $MMPROJ_FILE" >&2; exit 1; }
EXTRA_ARGS+=(--mmproj "$MMPROJ_FILE")
fi
# Speculative flags move as a set: they reach the argv ONLY when a drafter
# is named. SPEC_TYPE=none (the shipped contract) strips both — a no-spec
# baseline must not carry half a spec pair.
if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
EXTRA_ARGS+=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
fi
# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
# open after boot; make sure it exists before the server needs it.
nvidia-modprobe -u -c=0 2>/dev/null || true
# Flash attention stays pinned on: it is REQUIRED for quantized V (q8_0),
# and the build carries GGML_CUDA_FA_ALL_QUANTS=ON (since 2026-09-17), so
# the q8_0 KV contract in frank-secondary.env is a real path — without this
# flag or that build option the engine silently falls back and the
# contract becomes a lie.
ARGS=(
--model "$MODEL_FILE"
--alias "$ALIAS"
--host "$BIND_ADDR"
--port "$LISTEN_PORT"
--ctx-size "$CTX_SIZE"
--parallel "$PARALLEL"
--batch-size "$BATCH_SIZE"
--ubatch-size "$UBATCH_SIZE"
--n-gpu-layers "$NGL"
--flash-attn on
--cache-type-k "$CACHE_TYPE_K"
--cache-type-v "$CACHE_TYPE_V"
--jinja
--reasoning auto
--reasoning-format deepseek
)
exec "$LLAMA_BIN" "${ARGS[@]}" ${EXTRA_ARGS[@]+"${EXTRA_ARGS[@]}"}
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#!/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).
#
# 2026-10-07 (Frank): Qwen3.5-9B swap at TWO 200,704-token conversations
# (--ctx-size 401408 --parallel 2) with EXACT f16 KV — the 9B rung frees the
# room the 26B MoE Gemma4 shape lacked, so quantized V retires. MTP stays off:
# this GGUF carries no MTP tensors at all (verified from its tensor-name
# list), so there is no in-file head to draft with. Verbosity 4 ships so the
# VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in the journal.
#
# Architecture: qwen35 — dense 9B, 32 layers with full_attention_interval 4
# (8 full-attention layers at 3,7,...,31 + 24 Gated DeltaNet linear layers),
# 16 heads / 4 KV heads × 256 dim, native 262,144, vocab 248,320. The KV pool
# scales with the 8 full layers: 32 KiB/token at f16 K + f16 V (12.25 GiB at
# the 401,408 pool); the DeltaNet layers cost a fixed recurrent state per
# slot. Feasibility is priced from the MiMo-V2.6-Distill-Qwen-9B boots (same
# geometry, same card, same shape): 21,276/2,849 at ubatch 1024, 21,846/2,279
# at ubatch 2048 — the boot ledger, not arithmetic, is the referee.
# Vision comes from the publisher's own BF16 projector (the model is natively
# multimodal), so --mmproj is what gives this endpoint eyes; MMPROJ_FILE="" is
# the documented text-only opt-out.
#
# Sampling: llama.cpp takes it per request (the fleet harness sends the
# publisher recipe from models.yml: thinking temp 0.6 / top_p 0.95 / top_k 20).
#
# Tunables come from frank-zealot.env unless FRANK_ZEALOT_ENV_FILE overrides.
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
# The artifact gates are the shared library (scripts/lib/llm-gates.sh): the
# serve script and the deployer gate the same payload, and two hand-written
# copies of the same checks drift apart until one side passes what the
# other refuses.
export GATE_PREFIX=frank-zealot
# shellcheck disable=SC1091
source "$SCRIPT_DIR/lib/llm-gates.sh"
ENV_FILE="${FRANK_ZEALOT_ENV_FILE:-$SCRIPT_DIR/frank-zealot.env}"
if [[ -f "$ENV_FILE" ]]; then
set -a
# shellcheck disable=SC1090
source "$ENV_FILE"
set +a
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}"
: "${ALIAS:=frank-zealot}"
: "${BIND_ADDR:=0.0.0.0}"
: "${LISTEN_PORT:=7771}"
# ctx-size is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
# per conversation, inside the model's trained 262,144. The harness
# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
# with a 400, never truncated.
: "${CTX_SIZE:=401408}"
: "${PARALLEL:=2}"
# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
# 2048 is the measured CUDA optimum (MiMo era, same arch/shape: +4.6 % prefill
# at 8.9k depth, decode flat, 616 MiB). The logical batch is VRAM- and
# throughput-neutral at a fixed ubatch.
: "${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}"
: "${CACHE_TYPE_V:=f16}"
# Speculative decoding is OFF: this Q6_K file carries NO nextn/mtp tensors,
# so there is no in-file head — a speculative head is a property of the
# model file, not of the flags; no flag creates tensors that are absent.
# naming a drafter requires SPEC_DRAFT_FILE alongside SPEC_TYPE — the Gemma4
# assistant on disk is arch gemma4-assistant and cannot drafter-match qwen35.
: "${SPEC_TYPE:=none}"
: "${SPEC_DRAFT_N_MAX:=3}"
: "${SPEC_DRAFT_FILE:=}"
: "${NGL:=99}"
# Log verbosity threshold (llama.cpp -lv). 3 is the engine default (info);
# 4 adds debug detail (KV layout, buffer sizes, graph capture) which is what
# the VRAM-fit forensics need. Levels above 4 flood the journal.
: "${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.
: "${MMPROJ_FILE=/home/dank/models/Qwen35-9B-HauhauCS-Q6K/mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf}"
# Fail loudly rather than half-loading: a missing file is a download that
# has not finished, and Restart=always would turn it into a crash loop that
# reads like a runtime fault. The refusal text is the shared gate library's,
# so the deployer's twin refuses identically.
require_file "$LLAMA_BIN" runtime \
"build it: scripts/build-llama-master-cuda.sh" || exit 1
require_file "$MODEL_FILE" gguf \
"fetch it: bash scripts/download-frank-zealot.sh" || exit 1
if [[ -n "$MMPROJ_FILE" ]]; then
require_file "$MMPROJ_FILE" mmproj \
"fetch it: bash scripts/download-frank-zealot.sh" || exit 1
fi
EXTRA_ARGS=()
if [[ -n "$MMPROJ_FILE" ]]; then
EXTRA_ARGS+=(--mmproj "$MMPROJ_FILE")
fi
# Speculative flags move as a set: they reach the argv ONLY when a drafter
# is named. SPEC_TYPE=none (the shipped contract) strips both — a no-spec
# baseline must not carry half a spec pair.
if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
EXTRA_ARGS+=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
if [[ -n "$SPEC_DRAFT_FILE" ]]; then
[[ -e "$SPEC_DRAFT_FILE" ]] || { echo "frank-zealot: missing $SPEC_DRAFT_FILE" >&2; exit 1; }
EXTRA_ARGS+=(--spec-draft-model "$SPEC_DRAFT_FILE")
fi
fi
# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
# open after boot; make sure it exists before the server needs it.
nvidia-modprobe -u -c=0 2>/dev/null || true
# Flash attention stays pinned on: it is REQUIRED for quantized V (q8_0),
# and the build carries GGML_CUDA_FA_ALL_QUANTS=ON (since 2026-09-17), so
# the q8_0 KV contract in frank-zealot.env is a real path — without this
# flag or that build option the engine silently falls back and the
# contract becomes a lie.
ARGS=(
--model "$MODEL_FILE"
--alias "$ALIAS"
--host "$BIND_ADDR"
--port "$LISTEN_PORT"
--ctx-size "$CTX_SIZE"
--parallel "$PARALLEL"
--batch-size "$BATCH_SIZE"
--ubatch-size "$UBATCH_SIZE"
--n-gpu-layers "$NGL"
--flash-attn on
--cache-type-k "$CACHE_TYPE_K"
--cache-type-v "$CACHE_TYPE_V"
--log-verbosity "$VERBOSITY"
--jinja
--reasoning auto
--reasoning-format deepseek
)
exec "$LLAMA_BIN" "${ARGS[@]}" ${EXTRA_ARGS[@]+"${EXTRA_ARGS[@]}"}
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@@ -0,0 +1,750 @@
#!/usr/bin/env python3
"""service-map.py — the only reader of the service inventory.
Four lists used to agree by discipline (the planner's path rules, the
deployer's allow-list, the changed-test mapper, and the scrape/probe/DNS
facts written by hand in three config files). They now all read
`shared/services.yml` through this tool:
hosts the deploy targets
services [--host H] deployables a target accepts, canonical order
allows --host H --service S exit 0 when H accepts S (silent)
plan --host H PATH... services selected by changed paths, order-safe
seams [--host H] PATH... the Bats seams a changed path must re-run
owner --host H PATH the service that owns a file (empty: none)
units --host H --service S "<unit> <unit_dir>" lines the handler installs
stack --host H --service S the deployable + members one handler deploys
get --service S [--host H] F one field as JSON
render pihole-hosts the Pi-hole addn-hosts file
check [NAME...] integrity + drift gates (exit 1 on drift)
Two rules the engine enforces structurally:
* A path selects only services that RUN on the planned target. Path
matching that is host-blind (match first, filter later) lets a file on
one host plan a service on another; selection is scoped to the host the
path belongs to.
* The netns family is DERIVED, never declared: a unit file that says
`Network=gluetun.container` rides that tunnel, so a gluetun change selects
every sharer. The unit files are the source of that coupling.
"""
from __future__ import annotations
import argparse
import json
import subprocess
import sys
from functools import lru_cache
from pathlib import Path, PurePosixPath
from typing import Any
import yaml
REPO_ROOT = Path(__file__).resolve().parent.parent
DEFAULT_INVENTORY = REPO_ROOT / "shared" / "services.yml"
REQUIRED_KEYS = ("name", "hosts", "kind", "tests")
KINDS = {"quadlet", "root-unit", "vm-quadlet", "host"}
UNIT_SUFFIXES = (".container", ".network")
# Repo material that is never a deployed runtime's state.
NON_RUNTIME_ROOTS = {"docs", "report", "old", ".githooks", ".obsidian", ".github",
"tests", "serverAppConfigs-docs"}
NON_RUNTIME_NAMES = {".env.example"}
NON_RUNTIME_PATHS = {"README.md", "AGENTS.md", ".gitignore"}
def is_trash(path: str) -> bool:
return ".AGENTTRASH" in PurePosixPath(path).parts
# --------------------------------------------------------------------------
# inventory
# --------------------------------------------------------------------------
class Inventory:
def __init__(self, doc: dict[str, Any], origin: str) -> None:
self.origin = origin
self.hosts: dict[str, dict[str, Any]] = doc["hosts"]
self.services: list[dict[str, Any]] = doc["services"]
self.unowned: dict[str, str] = doc.get("unowned", {})
for index, svc in enumerate(self.services):
svc["_index"] = index
@classmethod
def load(cls, path: str | Path = DEFAULT_INVENTORY) -> "Inventory":
doc = yaml.safe_load(Path(path).read_text())
if not isinstance(doc, dict) or "services" not in doc:
raise SystemExit(f"{path}: not a service inventory document")
return cls(doc, str(path))
def on(self, host: str) -> list[dict[str, Any]]:
return [s for s in self.services if host in s["hosts"]]
def named(self, host: str, name: str) -> list[dict[str, Any]]:
return [s for s in self.services if s["name"] == name and host in s["hosts"]]
def any_named(self, name: str) -> list[dict[str, Any]]:
return [s for s in self.services if s["name"] == name]
@property
def order(self) -> list[str]:
seen: list[str] = []
for svc in self.services:
if svc["name"] not in seen:
seen.append(svc["name"])
return seen
def edge_ip(self) -> str:
"""The single address every DNS name resolves at (Caddy's edge)."""
for host in self.hosts.values():
if "dns_edge" in host:
return str(host["dns_edge"])
raise SystemExit(f"{self.origin}: no host declares dns_edge")
def service(self, name: str) -> dict | None:
for svc in self.services:
if svc["name"] == name:
return svc
return None
def unit_dirs(self, svc: dict[str, Any], host: str | None = None) -> list[str]:
"""The repo dirs holding this service's unit files, for one host."""
dirs = svc.get("unit_dir")
if not dirs:
return []
if isinstance(dirs, dict):
if host is not None:
return [dirs[host]] if host in dirs else []
return [dirs[h] for h in svc["hosts"] if h in dirs]
return [dirs]
def owns_unit(self, svc: dict[str, Any], host: str, unit: str, directory: str) -> bool:
return unit in svc.get("units", []) and directory in self.unit_dirs(svc, host)
# --------------------------------------------------------------------------
# repo facts
# --------------------------------------------------------------------------
@lru_cache(maxsize=1)
def tracked_files() -> tuple[str, ...]:
# Tracked + untracked (a check that only saw HEAD would ignore the very
# files a work-in-progress commit is adding).
out = subprocess.run(
["git", "-C", str(REPO_ROOT), "ls-files", "--cached", "--others",
"--exclude-standard"],
text=True, stdout=subprocess.PIPE, check=True)
return tuple(line for line in out.stdout.splitlines() if line)
def _network_values(container: Path) -> list[str]:
"""Every `Network=` value a quadlet unit declares (comma lists included)."""
values: list[str] = []
try:
text = container.read_text()
except OSError:
return values
for line in text.splitlines():
if line.startswith("Network="):
values.extend(v.strip() for v in line[len("Network="):].split(",") if v.strip())
return values
class Graph:
"""The unit-file coupling, read out of the tree: netns + netns-net users.
Quadlet installs every user unit flat, so `Network=gluetun.container`
names a unit by name, not by path; the same host is the scope, which is
also the deployment scope.
"""
def __init__(self, hosts: list[str]) -> None:
self.units: dict[tuple[str, str], str] = {} # (host, unit) -> path
self.networks: dict[tuple[str, str], str] = {} # (host, net) -> path
self.netns_children: dict[tuple[str, str], set[tuple[str, str]]] = {}
self.network_users: dict[tuple[str, str], set[tuple[str, str]]] = {}
for path in tracked_files():
parts = PurePosixPath(path).parts
if not parts or parts[0] not in hosts or is_trash(path):
continue
host, directory, name = parts[0], str(PurePosixPath(*parts[1:-1])), parts[-1]
if name.endswith(".container"):
self.units[(host, name[: -len(".container")])] = path
elif name.endswith(".network"):
self.networks[(host, name[: -len(".network")])] = path
for (host, unit), path in self.units.items():
for value in _network_values(REPO_ROOT / path):
if value.endswith(".container"):
parent = (host, value[: -len(".container")])
self.netns_children.setdefault(parent, set()).add((host, unit))
elif value.endswith(".network"):
net = (host, value[: -len(".network")])
self.network_users.setdefault(net, set()).add((host, unit))
def rides(self, start: list[tuple[str, str]]) -> set[tuple[str, str]]:
"""The transitive netns closure: a unit, everything riding it, and
everything riding those (a netns inside a netns)."""
found: set[tuple[str, str]] = set()
frontier = list(start)
while frontier:
node = frontier.pop()
if node in found:
continue
found.add(node)
frontier.extend(self.netns_children.get(node, ()))
return found
@lru_cache(maxsize=8)
def graph_for(hosts: tuple[str, ...]) -> Graph:
return Graph(list(hosts))
# --------------------------------------------------------------------------
# selection
# --------------------------------------------------------------------------
def _owner_index(inv: Inventory) -> dict[tuple[str, str, int]]:
"""(host, unit) -> service index, for unit-file ownership.
A quadlet unit name is unique per host (``check units`` enforces one
claim), so the coupling closure can resolve a riding unit that lives in
a DIFFERENT directory than the changed file — gluetun's netns children
are the point.
"""
index: dict[tuple[str, str], int] = {}
for svc in inv.services:
for host in svc["hosts"]:
for unit in svc.get("units", []):
key = (host, unit)
if key in index and index[key] != svc["_index"]:
raise SystemExit(
f"{inv.origin}: unit {unit!r} on {host} claimed by "
f"{inv.services[index[key]]['name']} and {svc['name']}"
)
index[key] = svc["_index"]
return index
def select(inv: Inventory, host: str, paths: list[str]) -> list[str]:
"""Canonical-order service names the changed paths select for one host."""
if host not in inv.hosts:
raise SystemExit(f"{inv.origin}: no host {host!r}")
graph = graph_for(tuple(inv.hosts))
owners = _owner_index(inv)
hits: set[int] = set()
def add(index: int) -> None:
hits.add(index)
for raw in paths:
path = raw.replace("\\", "/")
parts = PurePosixPath(path).parts
if not parts or is_trash(path) or path in NON_RUNTIME_PATHS:
continue
if PurePosixPath(path).name in NON_RUNTIME_NAMES:
continue
head = parts[0]
if head in NON_RUNTIME_ROOTS:
continue
# A host's directory is the scope: a frankbook-pro file can never
# select a dankserver service.
scoped_host = head if head in inv.hosts else None
if scoped_host is not None and scoped_host != host:
continue
name = parts[-1]
directory = str(PurePosixPath(*parts[1:-1])) if len(parts) > 1 else ""
if scoped_host and name.endswith(UNIT_SUFFIXES):
stem = name.rsplit(".", 1)[0]
key = (scoped_host, stem)
if name.endswith(".network") and key in graph.networks:
users = graph.network_users.get(key, set())
for unit in graph.rides(sorted(users)):
index = owners.get(unit)
if index is not None:
add(index)
elif key in graph.units:
for unit in graph.rides([key]):
index = owners.get(unit)
if index is not None:
add(index)
for index in list(hits):
for dependent in inv.services[index].get("dependents", []):
for svc in inv.named(host, dependent):
add(svc["_index"])
for svc in inv.on(host):
if path in svc.get("files", []):
add(svc["_index"])
if path in svc.get("retires", []):
add(svc["_index"])
for directory_rule in svc.get("dirs", []):
if path == directory_rule or path.startswith(directory_rule + "/"):
add(svc["_index"])
return [svc["name"] for svc in sorted((inv.services[i] for i in hits),
key=lambda s: s["_index"])]
def seams_for(inv: Inventory, host: str, paths: list[str]) -> list[str]:
"""The Bats seams the selected services require, deduplicated, in order."""
seams: list[str] = []
for name in select(inv, host, paths):
for svc in inv.named(host, name):
for seam in svc.get("tests", []):
if seam not in seams:
seams.append(seam)
if seams and "tests/deployment_scoping.bats" not in seams:
seams.append("tests/deployment_scoping.bats")
return seams
# --------------------------------------------------------------------------
# renderers + facts
# --------------------------------------------------------------------------
def render_pihole_hosts(inv: Inventory) -> str:
edge = inv.edge_ip()
lines = [
"# A records for the flat franksdank.cloud scheme (dnsmasq addn-hosts",
"# format: <IP> <name>). RENDERED — do not edit by hand:",
"#",
"# scripts/service-map.py render pihole-hosts > dankclaw/pihole/addn-hosts",
"#",
"# The source of truth is the `dns:` field of shared/services.yml; the",
"# drift gate in tests/service_inventory.bats fails when this file and",
"# the inventory disagree. Caddy is consolidated on Dankclaw, so every",
"# name — including the services running on dankserver and",
"# frankbook-pro — resolves at the Dankclaw edge.",
"#",
"# dnsmasq strips ONLY whole-line comments in addn-hosts: a trailing",
"# comment on a data line becomes a HOSTNAME token. No inline notes",
"# here; the service attribution lives in the inventory.",
"",
]
for svc in inv.services:
for name in svc.get("dns", []):
lines.append(f"{edge} {name}")
return "\n".join(lines) + "\n"
def scrape_facts(inv: Inventory) -> list[dict[str, str]]:
facts = []
for svc in inv.services:
for job in svc.get("scrape", []):
facts.append({"job": job["job"], "target": job["target"],
"metrics_path": job.get("metrics_path", "/")})
return facts
def prometheus_facts(path: Path) -> list[dict[str, str]]:
doc = yaml.safe_load(path.read_text())
facts = []
for job in doc.get("scrape_configs", []):
for sc in job.get("static_configs", []):
for target in sc.get("targets", []):
facts.append({"job": job["job_name"], "target": target,
"metrics_path": job.get("metrics_path", "/")})
return facts
def probe_facts(inv: Inventory) -> list[str]:
facts: list[str] = []
for svc in inv.services:
probe = svc.get("probe")
if isinstance(probe, dict):
facts.extend(str(v) for v in probe.values())
elif probe:
facts.append(str(probe))
return facts
def homepage_probes(path: Path) -> list[str]:
return sorted({s["probe"] for s in json.loads(path.read_text()) if s.get("probe")})
# --------------------------------------------------------------------------
# checks
# --------------------------------------------------------------------------
def check_ownership(inv: Inventory, graph: Graph) -> list[str]:
"""Every repo file belongs to a service, a rule, or the unowned list."""
problems: list[str] = []
exact: set[str] = set()
directories: set[str] = set()
for svc in inv.services:
for host in svc["hosts"]:
for directory in inv.unit_dirs(svc, host):
for unit in svc.get("units", []):
exact.add(f"{directory}/{unit}.container")
for field in ("files", "retires"):
exact.update(svc.get(field, []))
directories.update(svc.get("dirs", []))
# A shared network file is claimed by the units that ride it; the unit
# graph is the referrer, and check_units proves every reference resolves.
exact.update(graph.networks.values())
def is_claimed(path: str) -> bool:
if path in exact:
return True
first = PurePosixPath(path).parts[0]
if first in NON_RUNTIME_ROOTS or path in NON_RUNTIME_PATHS or is_trash(path):
return True
if PurePosixPath(path).name in NON_RUNTIME_NAMES:
return True
for owned in directories | set(inv.unowned):
if path == owned or path.startswith(owned + "/"):
return True
return False
for path in tracked_files():
if not is_claimed(path):
problems.append(f"file belongs to no service and is not in unowned: {path}")
# The reverse direction: an unowned entry that names nothing is stale.
for directory in inv.unowned:
if not any(p == directory or p.startswith(directory + "/") for p in tracked_files()):
problems.append(f"unowned entry names no tracked file: {directory}")
# Every inventory file/dir claim names a tracked file.
for svc in inv.services:
# `retires` names a file whose DELETION selects the service, so by
# definition it is not in the tree.
for field in ("files", "dirs"):
for entry in svc.get(field, []):
if entry not in tracked_files() and not any(
p.startswith(entry + "/") for p in tracked_files()):
problems.append(f"{svc['name']}: {field} entry names no tracked file: {entry}")
del graph
return problems
def check_units(inv: Inventory, graph: Graph) -> list[str]:
"""Every unit file has exactly one owner; every unit reference resolves."""
problems: list[str] = []
owners: dict[str, list[str]] = {}
for svc in inv.services:
for host in svc["hosts"]:
for directory in inv.unit_dirs(svc, host):
for unit in svc.get("units", []):
path = f"{directory}/{unit}.container"
owners.setdefault(path, []).append(f"{svc['name']}@{host}")
if path not in tracked_files():
problems.append(f"{svc['name']}: unit file is not tracked: {path}")
for path in tracked_files():
if not path.endswith(".container") or is_trash(path):
continue
found = owners.get(path, [])
if not found:
problems.append(f"unit file claimed by no service: {path}")
elif len(found) > 1:
problems.append(f"unit file claimed by {len(found)} services: {path}: {found}")
# Root units (scripts/*.service) are claimed by exactly one `files:` list.
for path in tracked_files():
if not (path.startswith("scripts/") and path.endswith(".service")) or is_trash(path):
continue
found = [s["name"] for s in inv.services if path in s.get("files", [])]
if not found:
problems.append(f"root unit claimed by no service: {path}")
elif len(found) > 1:
problems.append(f"root unit claimed by {found}: {path}")
# Every Network= reference in a unit file names a file on the same host.
for (host, unit), path in graph.units.items():
for value in _network_values(REPO_ROOT / path):
if value.endswith(".container"):
target = (host, value[: -len(".container")])
if target not in graph.units:
problems.append(f"{path}: Network={value} names no unit on {host}")
elif value.endswith(".network"):
target = (host, value[: -len(".network")])
if target not in graph.networks:
problems.append(f"{path}: Network={value} names no network on {host}")
return problems
def check_config(inv: Inventory) -> list[str]:
problems: list[str] = []
for svc in inv.services:
label = f"{'+'.join(svc['hosts'])}/{svc['name']}"
for key in REQUIRED_KEYS:
if key not in svc:
problems.append(f"{label}: missing required key {key}")
if svc.get("kind") not in KINDS:
problems.append(f"{label}: kind {svc.get('kind')!r} not one of {sorted(KINDS)}")
unknown = set(svc.get("hosts", [])) - set(inv.hosts)
if unknown:
problems.append(f"{label}: undeclared hosts: {sorted(unknown)}")
if svc.get("units") and not svc.get("unit_dir"):
problems.append(f"{label}: units declared without unit_dir")
if svc.get("deployed_by") and not inv.any_named(svc["deployed_by"]):
problems.append(f"{label}: deployed_by names no service: {svc['deployed_by']}")
if (svc.get("health") and svc.get("wait") is None) or \
(svc.get("wait") is not None and not svc.get("health")):
problems.append(f"{label}: health and wait are a pair")
for seam in svc.get("tests", []):
if seam not in tracked_files():
problems.append(f"{label}: seam does not exist: {seam}")
for name in svc.get("dns", []):
if not str(name).replace(".", "").replace("-", "").isalnum():
problems.append(f"{label}: dns name is not a plain hostname: {name}")
if svc.get("kind") == "root-unit" and svc.get("unit_dir"):
problems.append(f"{label}: a root unit lives in scripts/, not unit_dir")
seen: set[str] = set()
for svc in inv.services:
key = (svc["name"], tuple(svc["hosts"]))
if key in seen:
problems.append(f"duplicate inventory entry: {svc['name']} on {svc['hosts']}")
seen.add(key)
return problems
# --- node-exporter quadlet template (rank 6) --------------------------------
# Parallel per-host copies kept in step by a comment drift apart; the
# template is the single source, and `check` drift-gates every tracked
# rendering against it.
NODE_EXPORTER_TEMPLATE = """\
# Quadlet unit: node-exporter (rootless, boot-persistent) — RENDERED ARTIFACT.
# Regenerate: python3 scripts/service-map.py render node-exporter-unit --host {host}
# Source: shared/services.yml (entry node-exporter) + this template.
#
# Install path on {host}: ~/.config/containers/systemd/node-exporter.container
# Unit name: node-exporter.service (container name: node-exporter)
#
# Host metrics source for Prometheus. Replaces the compose service of the same
# name (the "Observability" block): Dankclaw moved to this quadlet on
# 2026-09-11, Dankserver on 2026-09-16 — its compose-only copy died at a reboot
# and stayed dead (rootless Podman does not restart bare containers after the
# explicit stop shutdown performs), dead for a day and a half before anyone
# noticed. One owner per container name; no compose file remains anywhere.
#
# HOST NAMESPACE. It must run in the host network namespace to report the
# host's own interfaces/connections, and --pid=host for the processes and
# cgroups collectors. "localhost" inside the container is therefore the host's
# loopback, which is what the homepage status timer probes.
#
# LISTEN ADDRESSES. Exactly two: loopback for the homepage status probe, and
# the LAN address, because Prometheus — which runs in a container on
# dankclaw_default — scrapes http://{lan}:{port}/metrics
# (shared/prometheus/prometheus.yml, job "node-{host}"). node_exporter has no
# authentication, so the wildcard bind stays off the table; this is the
# pairing that removes the unauthenticated observability surface on every
# host, and both consumers are accounted for.
#
# MOUNTS. The container reads the host's /proc, /sys and / as /host/*
# read-only and is pointed at them with --path.*; it writes nothing anywhere.
[Unit]
Description=Prometheus node exporter ({title} host metrics)
After=network-online.target
Wants=network-online.target
[Container]
ContainerName=node-exporter
Image=docker.io/prom/node-exporter:latest
Network=host
PodmanArgs=--pid=host
Exec=--path.procfs=/host/proc --path.sysfs=/host/sys --path.rootfs=/rootfs --web.listen-address=127.0.0.1:{port} --web.listen-address={lan}:{port}
Volume=/proc:/host/proc:ro
Volume=/sys:/host/sys:ro
Volume=/:/rootfs:ro
HealthCmd=wget --spider -q http://localhost:{port}/metrics
HealthInterval=30s
HealthTimeout=10s
HealthRetries=3
HealthStartPeriod=30s
[Service]
Restart=always
RestartSec=10
[Install]
WantedBy=default.target
"""
def render_node_exporter_unit(inv: Inventory, host: str) -> str:
"""The node-exporter quadlet for one host: shared template, per-host
title, LAN address from the hosts map, port from the scrape job."""
svc = inv.service("node-exporter")
if svc is None:
raise SystemExit("inventory has no node-exporter entry")
job = f"node-{host}"
port = next((str(e["target"]).rsplit(":", 1)[1] for e in svc.get("scrape", [])
if e.get("job") == job), None)
if port is None:
raise SystemExit(f"node-exporter scrape declares no job {job}")
lan = inv.hosts[host]["address"]
return NODE_EXPORTER_TEMPLATE.format(host=host, title=host.capitalize(),
lan=lan, port=port)
def check_drift(inv: Inventory) -> list[str]:
problems: list[str] = []
rendered = render_pihole_hosts(inv)
hosts_file = REPO_ROOT / "dankclaw" / "pihole" / "addn-hosts"
if hosts_file.read_text() != rendered:
problems.append("dankclaw/pihole/addn-hosts is not the render of the inventory "
"(scripts/service-map.py render pihole-hosts > dankclaw/pihole/addn-hosts)")
want = sorted(json.dumps(f, sort_keys=True) for f in scrape_facts(inv))
have = sorted(json.dumps(f, sort_keys=True) for f in
prometheus_facts(REPO_ROOT / "shared" / "prometheus" / "prometheus.yml"))
for extra in [f for f in have if f not in want]:
problems.append(f"prometheus scrapes a target the inventory does not declare: {extra}")
for missing in [f for f in want if f not in have]:
problems.append(f"inventory declares a scrape prometheus.yml lacks: {missing}")
svc = inv.service("node-exporter")
for host in (svc or {}).get("hosts", []):
for directory in inv.unit_dirs(svc, host):
path = REPO_ROOT / directory / "node-exporter.container"
if path.exists() and path.read_text() != render_node_exporter_unit(inv, host):
problems.append(
f"{directory}/node-exporter.container is not the render of the "
f"template (scripts/service-map.py render node-exporter-unit --host {host})")
probes_want = sorted(set(probe_facts(inv)))
probes_have = homepage_probes(REPO_ROOT / "shared" / "homepage" / "services.json")
for extra in [p for p in probes_have if p not in probes_want]:
problems.append(f"homepage probes a target the inventory does not declare: {extra}")
for missing in [p for p in probes_want if p not in probes_have]:
problems.append(f"inventory declares a probe homepage does not list: {missing}")
return problems
CHECKS = {
"config": lambda inv, graph: check_config(inv),
"units": check_units,
"ownership": check_ownership,
"drift": lambda inv, graph: check_drift(inv),
}
def check(inv: Inventory, names: list[str]) -> list[str]:
graph = graph_for(tuple(inv.hosts))
problems: list[str] = []
for name in names or list(CHECKS):
problems.extend(CHECKS[name](inv, graph))
return problems
# --------------------------------------------------------------------------
# CLI
# --------------------------------------------------------------------------
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument("--inventory", type=Path, default=DEFAULT_INVENTORY)
sub = parser.add_subparsers(dest="command", required=True)
sub.add_parser("hosts")
p = sub.add_parser("services")
p.add_argument("--host")
p = sub.add_parser("allows")
p.add_argument("--host", required=True)
p.add_argument("--service", required=True)
p = sub.add_parser("plan")
p.add_argument("--host", required=True)
p.add_argument("paths", nargs="+")
p = sub.add_parser("seams")
p.add_argument("--host")
p.add_argument("paths", nargs="+")
p = sub.add_parser("owner")
p.add_argument("--host", required=True)
p.add_argument("path")
p = sub.add_parser("units")
p.add_argument("--host", required=True)
p.add_argument("--service", required=True)
p = sub.add_parser("stack")
p.add_argument("--host", required=True)
p.add_argument("--service", required=True)
p = sub.add_parser("get")
p.add_argument("--host")
p.add_argument("--service", required=True)
p.add_argument("field")
p = sub.add_parser("render")
p.add_argument("artifact", choices=("pihole-hosts", "node-exporter-unit"))
p.add_argument("--host", choices=list(Hosts) if False else None)
p = sub.add_parser("check")
p.add_argument("names", nargs="*")
args = parser.parse_args(argv)
inv = Inventory.load(args.inventory)
if args.command == "hosts":
print("\n".join(inv.hosts))
elif args.command == "services":
services = inv.on(args.host) if args.host else inv.services
seen: list[str] = []
for svc in services:
if svc["name"] not in seen:
seen.append(svc["name"])
print("\n".join(seen))
elif args.command == "allows":
return 0 if inv.named(args.host, args.service) else 1
elif args.command == "plan":
print("\n".join(select(inv, args.host, args.paths)))
elif args.command == "seams":
if args.host is not None:
seams = seams_for(inv, args.host, args.paths)
else:
# No host: the union across every host (the dev machine's
# pre-commit mapper has no deployment target).
seams = []
for host in inv.hosts:
for seam in seams_for(inv, host, args.paths):
if seam not in seams:
seams.append(seam)
print("\n".join(seams))
elif args.command == "owner":
found = select(inv, args.host, [args.path])
print(found[-1] if found else "")
elif args.command == "units":
matches = inv.named(args.host, args.service)
if not matches:
print(f"no service {args.service} on {args.host}", file=sys.stderr)
return 2
for svc in matches:
for directory in inv.unit_dirs(svc, args.host):
for unit in svc.get("units", []):
print(f"{unit} {directory}")
elif args.command == "stack":
matches = inv.named(args.host, args.service)
if not matches:
print(f"no service {args.service} on {args.host}", file=sys.stderr)
return 2
owner = matches[0].get("deployed_by") or args.service
print(owner)
for svc in inv.on(args.host):
if svc.get("deployed_by") == owner and svc["name"] != owner:
print(svc["name"])
elif args.command == "get":
matches = inv.on(args.host) if args.host else inv.services
matches = [s for s in matches if s["name"] == args.service]
if not matches:
print(f"no service {args.service}" + (f" on {args.host}" if args.host else ""),
file=sys.stderr)
return 2
values = [s.get(args.field) for s in matches if args.field in s]
print(json.dumps(values[0] if len(values) == 1 else values))
elif args.command == "render":
if args.artifact == "pihole-hosts":
sys.stdout.write(render_pihole_hosts(inv))
else:
if not args.host:
print("render node-exporter-unit requires --host", file=sys.stderr)
return 2
sys.stdout.write(render_node_exporter_unit(inv, args.host))
elif args.command == "check":
problems = check(inv, args.names)
if problems:
for problem in problems:
print(f"FAIL: {problem}", file=sys.stderr)
return 1
print("OK: the service inventory is sound (schema, units, ownership, drift)")
return 0
if __name__ == "__main__":
sys.exit(main())
+3 -3
View File
@@ -293,12 +293,12 @@ def main():
ddt, dsh = meta[f"{pre0}.mlp.experts.0.down_proj.weight"][3:5]
gsd, gssh = meta[f"{pre0}.mlp.experts.0.gate_proj.weight_scale_inv"][3:5]
dsd, dssh = meta[f"{pre0}.mlp.experts.0.down_proj.weight_scale_inv"][3:5]
scale_law = (gdt == F8 and ddt == F8 and gsd == BF16 and dsd == BF16
scale_contract = (gdt == F8 and ddt == F8 and gsd == BF16 and dsd == BF16
and list(gssh) == [(gsh[0] + 127) // 128, (gsh[1] + 127) // 128]
and list(dssh) == [(dsh[0] + 127) // 128, (dsh[1] + 127) // 128])
if not scale_law:
if not scale_contract:
log(f"ERROR: unexpected expert shapes: gate {gdt}{gsh} scale {gsd}{gssh} "
f"down {ddt}{dsh} scale {dsd}{dssh} (scale law 128x128)")
f"down {ddt}{dsh} scale {dsd}{dssh} (fp8 block scales cover 128x128 tiles)")
return 2
shapes = {"ffn2_h": (gsh[0] * 2, gsh[1]), "ffn": (dsh[1],),
"gs": tuple(gssh), "ds": tuple(dssh)}

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