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T

Frank ae82aa00e4 Docs: system pages realigned to live ground truth; sibling-vault overlap census

Census against serverAppConfigs-docs + read-only ssh probes on both boxes
(2026-10-18). Corrections to OURS, flags only for THEIRS:

- Hardware drift: RTX 3090 moved dankserver->dankclaw 2026-09; dankserver
  now 2x Radeon AI PRO R9700 (Ryzen 7 7700X stays), 246 GiB RAM, no swap;
  dankclaw 121 GiB RAM + 64 GiB swap. Served: frank-archon radiance TP=2
  (:7770 dankserver), frank-dragoon halogen NATIVE v2 (:7770 dankclaw
  iGPU), frank-zealot llama.cpp PrismML Ternary-Bonsai-2-27B PQ2_0
  (:7771 dankclaw, 3090). Kernel 7.0.0-38 both; dankclaw :7770 no auth.
- Gitea: gitea-caddy quadlet retired (fleet Caddy fronts the domain);
  data tree moved to /home/dank/Containers/gitea/ (2026-09-01 standard),
  /opt/gitea is a do-not-use leftover; LAN IP + live domain.
- pi-era pages (core/settings, pi/models + role tables) demarcated as
  ARCHIVE with banners; llama-cpp fleet note modernized.
- AGENTS.md machine-facts table corrected (it still routed prod warnings
  at frank-default-large).

Their-side staleness flagged in the changelog entry for the operator,
not edited: OMP Harness thresholdPercent 70 (live is 95), Ubuntu 24.04
OS table, 2026-09-03 stack mapping, superseded pi-KB backlink.

Refs #5

2026-10-18 03:39:56 -07:00

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type, title, description, tags, generated, verified, status

type

title

description

Dankserver

Primary inference server for the Frank Program. Serves frank-archon, the main agent model, from a pair of Radeon AI PRO R9700s (tensor-parallel 2). The RTX 3090 that used to live here was removed 2026-09-15 and now runs on Dankclaw.

Connection Details

Property	Value
Hostname	dankserver
IP Address	192.168.0.235
Port	7770
Base URL	`http://192.168.0.235:7770/v1`
API	OpenAI-compatible completions
Authentication	None
Systemd unit	`frank-archon.service` (root)

Model

Property	Value
Model ID	`frank-archon` (display name `frank-archon`)
Weights	Qwen3.8-Flash-Next, radiance iq4r (publisher build)
Engine	radiance, tensor-parallel 2 across both R9700s
Context Window	200,000 tokens (harness `models.yml`; served pool may differ — see runbook)

frank-medium (former dual-GPU mid tier) is masked and retired.

Usage

Dankserver carries the main-session model. Subagent role overrides in agent/models.yml route here for task and reviewer; scout/sonic/designer route to Dankclaw.

# Health check
curl http://192.168.0.235:7770/health

# Quick test
curl http://192.168.0.235:7770/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"frank-archon","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'

Hardware (verified live 2026-10-18)

Property	Value
CPU	AMD Ryzen 7 7700X (8C/16T, Raphael iGPU on board)
GPU	2× AMD Radeon AI PRO R9700 (Navi 48, 32 GiB each)
RAM	246 GiB
Swap	effectively none (~0.1 GiB) — the 64 GiB swapfile is on Dankclaw, not here
Storage	7× 18.2 TB HDD + 1.8 TB NVMe (layout owned by the deploy repo)
OS	Ubuntu 26.04.1 LTS, kernel 7.0.0-38-generic

The old page (verified 2026-08-28) listed an RTX 3090, 60 GiB RAM, and a 64 GiB swapfile here; all three were superseded by the 2026-09 hardware swap.

serverAppConfigs — deployment repo + vault, on this workstation at ~/Projects/serverAppConfig/ (docs vault: ~/Projects/serverAppConfig/serverAppConfigs-docs/). Podman/quadlet deploy config for both servers plus the LLM inference fleet. The live frank-archon runbook (engine flags, KV pool sizing, restart procedures) is LLM/frank-archon-radiance-qwen38-iq4r.md in that vault — it, not this page, is the deploy-side source of truth.

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