--- type: reference title: Dankserver description: Primary llama.cpp inference server at 192.168.0.235:7770, serving frank-default-small with 163,840-token context window. tags: - network - llamacpp - inference - server - unverified generated: by: chief-designer/agent verified: 2026-08-28 status: stable --- # Dankserver Primary llama.cpp inference server for the Frank Program. Serves `frank-default-small` — a fast, capable model with image support. ## 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 | ## Model | Property | Value | |----------|-------| | **Model ID** | `frank-default-small` | | **Context Window** | 163,840 tokens | | **Reasoning** | Supported | | **Input Types** | Text, *Image* (unverified) | ## Usage Dankserver serves the small subagent model `frank-default-small`. Small subagent roles route here unless a role override picks a different model. ```bash # 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-default-small","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}' ``` ## Hardware | Property | Value | |----------|-------| | **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael) | | **GPU** | NVIDIA GeForce RTX 3090 (24 GiB VRAM, EVGA) | | **RAM** | 60 GiB | | **Swap** | 64 GiB (/swapfile) | | **Storage** | Kingston SNV3S1000G NVMe (931.5 GB) + md0 RAID (6×18.2T Toshiba, /mnt/entropy, 91T) | | **OS** | Ubuntu 26.04 LTS, kernel 7.0.0-30-generic | | **NVIDIA Driver** | 595.84 | ## Related Knowledge Bases (sibling project on the workstation) - **serverAppConfigs** — `/home/dank/Projects/serverAppConfigs/` — Podman deployment config for this host (media and library stack: RomM, Copyparty, Calibre-Web) **plus the LLM inference fleet** (frank-default-small, llama.cpp, :7770). The former `vllmScripts` repo merged into it on 2026-08-22 (history preserved). Start at `/home/dank/Projects/serverAppConfigs/docs/index.md` (see `dankserver/compose.yaml` + `docs/Dankserver/`; LLM fleet at `docs/LLM/index.md`, deploy runbook at `docs/LLM/deployment.md`). ## See Also - [[models|models]] — Provider definitions - [[dankclaw|dankclaw]] — Secondary server - [[network|network]] — Network topology