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rename frank-small → frank-secondary (Dankclaw llama.cpp :7771)

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Cross-cutting rename of the current llama.cpp endpoint on the RTX 3090
(port 7771) from frank-small to frank-secondary:

- Service trio: scripts/{frank-small.env,frank-small.service,
  serve-frank-small.sh,download-frank-small.sh} → frank-secondary.*
- Test: tests/frank_small_unit.bats → tests/frank_secondary_unit.bats
- Runbooks: serverAppConfigs-docs/LLM/frank-small-*.md →
  frank-secondary-*.md (9 files); the FreeToken runbook stays
  freetoken-frank-small.md (it documents the retired CUDA-era service)
- Identifiers: FRANK_SMALL→FRANK_SECONDARY, llm_small→llm_secondary,
  LLM_SMALL_*→LLM_SECONDARY_*, deploy_llm_small→deploy_llm_secondary
- Historical references to the OLD frank-small (FreeToken/CUDA on the
  3090, and the Dankserver service that became frank-medium) are
  preserved verbatim — they describe what the service was called
  at the time.
This commit is contained in:
Frank
2026-10-06 15:37:13 -07:00
parent c71a3066c0
commit 87721ab0fe
87 changed files with 460 additions and 460 deletions
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serverAppConfigs-docs/LLM/FastFlowLM NPU Inference.md
+8 -8
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@@ -13,12 +13,12 @@ timestamp: 2026-09-03
> **SUPERSEDED 2026-08-17.** The Frank redo retired this topology.
> See [[frank-redo-2026-08-17]] and [[deployment]] for the active configuration.
> The `frank-small` name and port 52625 then belonged to the vLLM
> The `frank-secondary` name and port 52625 then belonged to the vLLM
> service on Dankclaw (nameistoken Quark W8A8); this page is archive.
# FastFlowLM NPU Inference
FastFlowLM (FLM) runs LLMs entirely on the AMD Ryzen AI NPU. It targets XDNA2 chips: Strix, Strix Halo, Kraken, and Gorgon Point. The project describes itself as "Ollama, but deeply optimized for NPUs." As of 2026-08-16, FLM is installed on Dankclaw, the NPU validates, and `frank-small` (port 52625) serves in production. See Promotion.
FastFlowLM (FLM) runs LLMs entirely on the AMD Ryzen AI NPU. It targets XDNA2 chips: Strix, Strix Halo, Kraken, and Gorgon Point. The project describes itself as "Ollama, but deeply optimized for NPUs." As of 2026-08-16, FLM is installed on Dankclaw, the NPU validates, and `frank-secondary` (port 52625) serves in production. See Promotion.
## Verdict (2026-08-16)
@@ -203,16 +203,16 @@ Notes:
## Promotion (2026-08-16)
`frank-small` now runs the NPU endpoint on Dankclaw (was the Dankserver llama.cpp service). Unit: `scripts/frank-small.service` (symlinked into `/etc/systemd/system`), wrapper `scripts/serve-flm-small.sh`, tunables `scripts/frank-small.env`. `LimitMEMLOCK=infinity` is set in the unit. Default model: `gemma4-it:e4b`. Swap `FLM_MODEL` in the env to switch.
`frank-secondary` now runs the NPU endpoint on Dankclaw (was the Dankserver llama.cpp service). Unit: `scripts/frank-secondary.service` (symlinked into `/etc/systemd/system`), wrapper `scripts/serve-flm-small.sh`, tunables `scripts/frank-secondary.env`. `LimitMEMLOCK=infinity` is set in the unit. Default model: `gemma4-it:e4b`. Swap `FLM_MODEL` in the env to switch.
### Boot policy (2026-08-17)
The `frank-small` unit is disabled for boot. Only the PP pair (`frank-large` + `frank-pp-worker`) starts at boot. The unit file was removed from `/etc/systemd/system`; the running FLM service keeps serving until stopped or rebooted. To restore the endpoint, run these commands on Dankclaw:
The `frank-secondary` unit is disabled for boot. Only the PP pair (`frank-large` + `frank-pp-worker`) starts at boot. The unit file was removed from `/etc/systemd/system`; the running FLM service keeps serving until stopped or rebooted. To restore the endpoint, run these commands on Dankclaw:
```
sudo ln -sf /home/dank/vllmScripts/scripts/frank-small.service /etc/systemd/system/frank-small.service
sudo ln -sf /home/dank/vllmScripts/scripts/frank-secondary.service /etc/systemd/system/frank-secondary.service
sudo systemctl daemon-reload
sudo systemctl enable frank-small
sudo systemctl enable frank-secondary
```
Live config (2026-08-16): `FLM_PMODE=turbo`, `FLM_ASR=1` (loads Whisper-V3-Turbo-NPU2; exposes `/v1/audio/transcriptions`), `FLM_CTX_LEN=131072` (verified max — Gemma4 natively supports 128K and the NPU budget fits it; KV occupancy measured at 0.11% for a 123-token exchange, decode 12.0 t/s, 13 GiB headroom).
@@ -353,7 +353,7 @@ installed) against `/opt/fastflowlm/share/flm/xclbins/` (available).
Symptom: a client on dankware could not reach `qwen3.6-moe:35b-a3b` on port 52625. The journal shows three separate causes in the 14:19-15:03 window.
1. **EXEC 203 crash loop (14:19-14:20).** The exec bit was lost on `serve-flm-small.sh` on the target. The unit failed `status=203/EXEC: Permission denied` four times, then started after the bit was restored. The git mode is `100755` (commit `3f42210`), and a `git pull` restores the bit. Verify with `git ls-files -s scripts/serve-flm-small.sh`.
2. **Wrong model ID (14:29-14:52).** The client config still used the model ID `frank-small` (a service alias). FLM rejects that tag with `[ERROR] Model tag 'frank-small' is not supported.` Each such request also triggered the unknown-tag fallback below.
2. **Wrong model ID (14:29-14:52).** The client config still used the model ID `frank-secondary` (a service alias). FLM rejects that tag with `[ERROR] Model tag 'frank-secondary' is not supported.` Each such request also triggered the unknown-tag fallback below.
3. **Swap churn (14:48-15:03).** The swap `gemma4-it:e4b` → `qwen3.6-moe:35b-a3b` restarted the service several times. Each load of the 23 GB model takes about 1.5-2.5 minutes at 262144 ctx. The endpoint does not serve during a load.
Fix: the client model ID must be the FLM registry tag `qwen3.6-moe:35b-a3b`. The working pi agent entry in `~/.pi/agent/models.json` is `baseUrl http://192.168.0.143:52625/v1`, `id qwen3.6-moe:35b-a3b`, `contextWindow 262144`, `reasoning true`, `input [text, image]`. Verified end-to-end from dankware (192.168.0.226) at 15:32 on 2026-08-16.
@@ -390,7 +390,7 @@ pi sessions failed against this endpoint with `Stream ended without finish_reaso
- **The FLM serve process is not under systemd.** A reboot of Dankclaw kills it. The PP head service is enabled and returns. The FLM process must be restarted by hand. A unit file is a natural next step.
- **gpt-oss reasoning budget.** The model can spend its full token budget on `reasoning_content` and return empty content. Clients must handle or cap this.
- **No llama.cpp GGUF path.** FLM uses its own pre-compiled kernels. Our UD-Q8_K_XL and HauhauCS builds are not importable. NPU work means FLM-specific model tags.
- **NPU production role (2026-08-16).** `frank-small` serves `qwen3.6-moe:35b-a3b` on port 52625 (swap churn and the unknown-tag incident are recorded above). The remaining NPU content (benchmarks, runbook steps) is still research until a step lands and is recorded.
- **NPU production role (2026-08-16).** `frank-secondary` serves `qwen3.6-moe:35b-a3b` on port 52625 (swap churn and the unknown-tag incident are recorded above). The remaining NPU content (benchmarks, runbook steps) is still research until a step lands and is recorded.
## Citations