Frank
f2bcf84e88
Payload: Intel/GLM-5.3-Flash-W4A16-AutoRound (AutoRound symmetric int4 group
128, auto_round:auto_gptq, 34 shards + 2 extras, 113,074 tensors, ~170 GiB).
It is the only W4A16 checkpoint this fork can serve with expert offload: its
quant_method "auto-round" is overridden to "inc", which routes the MoE to
libr4d's grouped W4A16 GEMM (R4dW4a16MoEMethod). A compressed-tensors W4A16
build of the same model resolves to TritonWNA16Experts, which has no offload
recipe, and refuses to serve at all (170 GiB of experts cannot fit 64 GiB of
VRAM, so offload is mandatory).
Shape: tcclaviger RDNA4 vLLM fork (same digest-pinned image as the 2026-09-29
qwen cutover), TP=2, 131,072 ctx x 2 seqs, bf16 KV (fp8 is ILLEGAL here — it
disables the sparse MLA backend's rope-free Triton path, the only MLA decode
gfx12 has), util 0.98, NBATCH 2048, --enable-expert-offload
--expert-precise-memory, prefix caching, glm47 tool + reasoning parsers,
MTP and expert prefetch absent by measurement.
Measured: decode 9.9-10.0 tok/s, prefill 918 tok/s (warm), arena 14.51 GiB =
2,383 slots/rank over 12,096 host-backed experts (73.64 GiB pinned/rank).
THE 35 tok/s TARGET IS NOT MET and the shortfall is measured: live telemetry
(R4D_LRU_TELEMETRY=1) gives a 0.53-0.66 per-layer hit rate, a step moves
0.82 GiB of misses in ~100 ms = 8.2 GB/s effective against a link measured at
22.74 GB/s — the same structural gather-path gap the qwen campaign found.
Growing the arena 13.08 -> 14.51 GiB changed decode by nothing.
Rejected by measurement: MTP4 (head loads, acceptance 3.76-4.90, but decode
unchanged and prefill collapses 918 -> 255 — a verification forward gathers the
union of the batch's experts), NBATCH 8192 (identical prefill).
Also: scripts/patches/gpu_worker-kv-cap.patch (fork-local fix for a KV-reserve
model that under-counts GLM's per-sequence KDA state; not needed by this shape),
runbook, AGENTS.md row + section, both indexes, work log.
Rollback: 2339fae (qwen FP8 + MTP4).
Server App Configs
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-large (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-large | 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.