Frank
62a70caebb
`[[page|Label]]` is Obsidian syntax, not OKF. `kb-lint` resolves it Obsidian-style — by filename, anywhere in the bundle — so it has never tripped the link gate, while every other consumer of the bundle (an OKF renderer, a Gitea wiki export, `grep` for reachability) sees bracketed text where a link should be. That is how two generated pages ended up with no inbound link at all and nobody noticed: the my-first link census of the bundle reported them as orphans because their only inbound edges were wikilinks. Mechanical conversion, 52 links across 17 pages, each resolved against the same page set `kb-lint` uses: an explicit `|Label` is kept verbatim, an unlabelled link takes the target's frontmatter `title`. Targets are emitted bundle-absolute (`/tools/niri/tips.md`), the form the spec recommends and the form 99 existing links in this bundle already use. Two links were `[[index]]`, which resolves by filename to 21 pages — the ambiguity that filename-resolution invites. Both meant their own directory's index, so both are now written out in full: `/tools/gitea/index.md`, `/tools/niri/index.md`. The linter still tolerates wikilinks; whether it should reject them outright is an open question on #64, because that would replace the two tests pinning today's tolerance. Refs #64
90 lines
3.0 KiB
Markdown
90 lines
3.0 KiB
Markdown
---
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type: reference
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title: Dankserver
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description: Radiance inference server at 192.168.0.235:7770, serving frank-archon (Qwen3.8-Flash-Next iq4r, 2x R9700 TP=2, 200,000-token context).
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tags:
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- network
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- llamacpp
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- inference
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- server
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generated:
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by: chief-designer/agent
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verified: 2026-10-18
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status: stable
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---
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# Dankserver
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Primary inference server for the Frank Program. Serves `frank-archon`, the
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main agent model, from a pair of Radeon AI PRO R9700s (tensor-parallel 2).
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The RTX 3090 that used to live here was removed 2026-09-15 and now runs on
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Dankclaw.
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## Connection Details
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| Property | Value |
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|----------|-------|
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| **Hostname** | dankserver |
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| **IP Address** | 192.168.0.235 |
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| **Port** | 7770 |
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| **Base URL** | `http://192.168.0.235:7770/v1` |
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| **API** | OpenAI-compatible completions |
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| **Authentication** | None |
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| **Systemd unit** | `frank-archon.service` (root) |
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## Model
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| Property | Value |
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|----------|-------|
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| **Model ID** | `frank-archon` (display name `frank-archon`) |
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| **Weights** | Qwen3.8-Flash-Next, radiance iq4r (publisher build) |
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| **Engine** | radiance, tensor-parallel 2 across both R9700s |
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| **Context Window** | 200,000 tokens (harness `models.yml`; served pool may differ — see runbook) |
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`frank-medium` (former dual-GPU mid tier) is masked and retired.
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## Usage
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Dankserver carries the main-session model. Subagent role overrides in
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`agent/models.yml` route here for `task` and `reviewer`; scout/sonic/designer
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route to Dankclaw.
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```bash
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# Health check
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curl http://192.168.0.235:7770/health
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# Quick test
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curl http://192.168.0.235:7770/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{"model":"frank-archon","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
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```
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## Hardware (verified live 2026-10-18)
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| Property | Value |
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|----------|-------|
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| **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael iGPU on board) |
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| **GPU** | 2× AMD Radeon AI PRO R9700 (Navi 48, 32 GiB each) |
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| **RAM** | 246 GiB |
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| **Swap** | effectively none (~0.1 GiB) — the 64 GiB swapfile is on Dankclaw, not here |
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| **Storage** | 7× 18.2 TB HDD + 1.8 TB NVMe (layout owned by the deploy repo) |
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| **OS** | Ubuntu 26.04.1 LTS, kernel 7.0.0-38-generic |
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The old page (verified 2026-08-28) listed an RTX 3090, 60 GiB RAM, and a
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64 GiB swapfile here; all three were superseded by the 2026-09 hardware swap.
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## Related Knowledge Bases (sibling project)
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- **serverAppConfigs** — deployment repo + vault, on this workstation at
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`~/Projects/serverAppConfig/` (docs vault: `~/Projects/serverAppConfig/serverAppConfigs-docs/`).
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Podman/quadlet deploy config for both servers plus the LLM inference fleet.
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The live frank-archon runbook (engine flags, KV pool sizing, restart
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procedures) is `LLM/frank-archon-radiance-qwen38-iq4r.md` in that vault —
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it, not this page, is the deploy-side source of truth.
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## See Also
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- [dankclaw](/system/dankclaw.md) — the other inference box (dragoon + zealot)
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- [network](/system/network.md) — Network topology
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- [/core/statusline.md](/core/statusline.md) — where these models surface in the TUI
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