Frank
3eaba57925
Frank ordered the adapter; this adds it to the shape as one knob and one flag. - `LORA_FILE` / `LORA_SCALE` in the env, `--lora-scaled <file>:<scale>` as ONE argv token so a scale can never reach the engine without its adapter. The rollback follows the mmproj convention exactly: `LORA_FILE=` (explicitly empty) drops the flag entirely, no rebuild, and `LORA_SCALE=0` is the card's own "inert but present" value. - New fetcher `scripts/download-frank-zealot-uncensored-lora.sh`: `-f`, byte count, sha256, `--verify-only`, idempotent. The file is NOT LFS (a plain git object), so the pinned sha is the content hash, not an LFS oid. - The deployer gates on the adapter beside the pack and the projector, and its error names the ADAPTER's fetcher — sending an operator to the bonsai9 script for a 3 MB file is how a payload ships without it. - Seam: path+scale pinned as one token, the scale knob including 0, absence on the empty opt-out, a refusal to boot on a missing adapter, and the env ↔ deployer anti-drift pair extended to LORA_FILE/LLM_ZEALOT_LORA. 454/454. Provenance, stated where it will be read: the adapter's own metadata names `Ternary-Bonsai-2-9B-PTQ1_0.gguf` (3561df7a…) as the pack the direction was fitted against. This endpoint serves the PQ2_0+MTP+Q8_0 packing (c79fcdfa…), which is not that file and is not on this host. The loader matches tensor names, not hashes, so it applies — and build 10777 is the build the card verified on — but the strength is calibrated on a sibling quantization. The proof is therefore the refusal probe against the live endpoint, captured before and after, and not the card's table.
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.