Frank
a7329d190f
Two tools the KLD gate depends on. build-qwen38-bf16-rad.sh converts the checkpoint to a BF16 .rad with NO recipe line, so every tensor stays bf16 - the reference must not carry the quantization it is there to measure. It gates before writing 335 GiB: the checkpoint present and fully verified by the fetcher's own verifier, the peak-disk bill (350,000 MiB: the checkpoint's 343,323 plus margin, because the .rad is built beside it), an existing output retired to ~/.AGENTTRASH by --force instead of deleted, and --plan-only before the real convert. --max-ctx 32768 is a declare-time check, not a weight change: dropped, the resolver is handed the checkpoint's 262,144 window, which at fp8 cache is 258.8 GiB on a 192 GiB machine. run-qwen38-bf16.sh serves that container in three modes - kldref (record the reference logits), score (record an arm's logits against that reference), calib (open the Gram tap for the imatrix). It drains frank-archon and restores it on every exit path, and the two logits modes ride ONE step size (FRANK_QWEN38_MNBT, default 2048) and ONE window (FRANK_QWEN38_MAX_MODEL_LEN, default 32768) so a reference and an arm cannot be measured at different shapes: that is the whole validity of the KL number. Four slots over 2,048 matches frank-archon.env's operating point (MAX_SEQS=4, MAX_BATCHED_TOKENS=2048); the smaller host pool (12,288 vs 49,152) buys residency, which moves speed, not logits. calib keeps 65,536 - decode-bound serving, never the gate. kldref refuses before the drain when the corpus's longest record cannot fit the declared window (limit = window x 3 chars, the pessimistic tokenizer bound; the measured corpus is 38,263 chars, 2.6x inside 32,768). It runs on --dry-run too, so the check is visible before a 20-minute drain is spent. 12 seam tests, each red-proofed by neutralising the gate it pins.
Server App Configs
AI Disclosures:
- Slop rating: 2/5 - Actively using, actively de-slopping, repository mostly human owned, lacks formal process.
- Completeness: Unfinished, planning planned, no plan yet
- Datacenter model/spend: Less than $20 of Deepseek 4.1 Flash and GLM-5.3-Flash
- Local model: Qwen 3.8 Flash Next
slop rating of 2 or lower indicates human reading is a worthwhile exercise, and that Frank has read the code and knows the architecture.
slop rating of 2 indicates that while this project is human owned, no human contribution process exists and/or release is agentically driven.
The single repository for the two homelab servers: the Podman container stacks and the LLM inference fleet. One repo, one checkout per host, one deploy script.
2026-08-22: the former
vllmScriptsrepository (LLM fleet) is merged into this repo with its full git history. See AGENTS.md for the merge note.
Targets
| 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-dragoon (gufo, Qwen3.8-27B UD-Q8_K_XL) | 7770 |
Active Services
| Service | Host | Hostname | Port |
|---|---|---|---|
| RomM | dankserver | romm.dankserver.local | 8085 |
| Copyparty | dankserver | files.dankserver.local | 3923 |
| Calibre-Web | dankserver | books.dankserver.local | 8083 |
| frank-medium | dankserver | — (bare endpoint) | 7770 |
| SearXNG | dankclaw | search.dankclaw.local | 8081 |
| ComfyUI | dankclaw | comfyui.dankclaw.local | 8188 |
| OpenWebUI | dankclaw | chat.dankclaw.local | 3000 |
| Hermes | dankclaw | hermes.dankclaw.local | 8090 |
| Gitea | dankclaw | gitea.dankclaw.local | 3001 |
| Grafana | dankclaw | grafana.dankclaw.local | 3002 |
| Prometheus | dankclaw | prometheus.dankclaw.local | 9090 |
| frank-dragoon | dankclaw | — (bare endpoint) | 7770 |
Structure
dankserver/— compose.yaml + Caddyfile + .env.example for the Dankserver stackdankclaw/— compose.yaml + Caddyfile + .env.example for the Dankclaw stackshared/— homepage, prometheus config, deploy helpersscripts/—deploy.shanddeploy-remote.sh(service-scoped deployment), the planner, LLM serve scripts, systemd units, env tunables, and bench harnessesold/— retired PP/NPU-era LLM scripts (reference only)serverAppConfigs-docs/— project knowledge base (Obsidian vault, wikilinks).serverAppConfigs-docs/LLM/is the LLM fleettests/— bats test suite (see Testing Policy)
Deployment
See serverAppConfigs-docs/Architecture/Deployment Flow.md
and serverAppConfigs-docs/LLM/deployment.md. Run
./scripts/deploy.sh <dankclaw|dankserver> after committing changes. It
plans and deploys only the changed services. Use --service NAME for an
explicit single-service retry; inference is restarted only when its own files
(or the shared chat template) changed.
Knowledge Base
The serverAppConfigs-docs/ directory is an Obsidian vault. Start at
serverAppConfigs-docs/index.md. The LLM fleet knowledge base lives at
serverAppConfigs-docs/LLM/index.md.
Testing
Run ./tests/run.sh before every push. See
serverAppConfigs-docs/Architecture/Testing Policy.md.