feat(llm): swap frank-large to halogen-flash-server, retire frank-npu
frank-large moves from the kingjones30/ROCmFPX llama.cpp build to peonist-ai/halogen-flash-server 0.5.8 serving Qwen3.8-Flash-Next (w4b .hgn 115.55 GiB + quality overlay). Upstream measures this engine at roughly 4x the prefill throughput of the llama.cpp family on the same gfx1151 silicon, and prefill dominates any prompt with real context. Shape: a rootless Quadlet container (dankclaw/frank-large/quadlet/), engine on container loopback :8730 (never published), OpenAI front-end :8731 published as host 7770, HALOGEN_MODEL_ID=frank-large so no client renamed anything. Context 262144, KV pool 262144 positions (~7.2 GiB, conservative for a shared 121 GiB host), 4 slots, host reserve 24, vision tower on, weights pinned, all other flags at vendor defaults. Weights are fetched by HALOGEN_DOWNLOAD on first start into a writable /home/dank/models/halogen. The llama.cpp era (unit, env, serve script) is staged in .AGENTTRASH/ rather than deleted; the STRIX payload and the ROCmFPX build stay on disk as the rollback target. deploy_llm_large becomes a user-quadlet handler: it retires the old ROOT unit (moving its checkout symlink into the home trash, never rm) and gates the first start on the download rather than reporting a failure for a fetch that is working exactly as designed. frank-npu is retired in the same change. The kernel cmdline moves from iommu=pt to amd_iommu=off for the 13-16% of prefill upstream measured, and that takes the XDNA2 NPU with it: without PASID/SVA the driver cannot open /dev/accel/accel0 (err=-19). Its five dependent routes are repointed (Hermes vision -> frank-large, Hermes title generation -> frank-small, harness vision -> frank-large, tiny -> frank-small, task -> frank-large:medium) and its provider blocks are removed from both the harness config and Hermes's live config. Audio input leaves the fleet with no replacement; image input survives on halogen's vision tower. Docs: new halogen-flash-server runbook, new IOMMU decision record, and frank-npu rewritten as a retirement record. AGENTS.md topology, runtime sections, benchmarking policy (frank-large is a user unit now) and the harness model-config section are corrected.
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@@ -0,0 +1,100 @@
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---
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type: research
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title: Dankclaw IOMMU translation off (amd_iommu=off) — decision record
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description: Why Dankclaw boots with amd_iommu=off since 2026-09-11, what it buys (13-16% prefill for frank-large), what it costs (the XDNA2 NPU endpoint, machine-wide DMA translation), what was deliberately not copied from the reference machine, and how to revert.
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tags:
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- dankclaw
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- iommu
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- kernel
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- grub
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- prefill
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- frank-large
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- halogen
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- frank-npu
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timestamp: 2026-09-11
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---
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# Dankclaw IOMMU translation off — decision record
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**Decision (2026-09-11):** Dankclaw boots with **`amd_iommu=off`** instead of
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`iommu=pt`, to recover the prefill throughput the large-model runtime loses to
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IOMMU translation. The XDNA2 NPU endpoint was accepted as the cost and is
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retired ([[frank-npu]]).
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## What changed
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`GRUB_CMDLINE_LINUX_DEFAULT` in `/etc/default/grub` on Dankclaw:
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```
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# before
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ro quiet splash iommu=pt crashkernel=…
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# after
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ro quiet splash amd_iommu=off crashkernel=…
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```
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Then `sudo update-grub` and a reboot. Nothing else on the command line was
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touched.
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## Evidence
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The upstream project published the measurement, and it is the only A/B they
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ran: **460 → 385 tok/s prefill at a 2,048-token prompt, 13 to 16 percent**,
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taken on a Ryzen AI Max+ 395 with 128 GB — the same SKU as Dankclaw. Their
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published serving profile boots this way, so every number in their README is a
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number with translation off. Decode is unaffected; prefill is where the loss is.
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The mechanism offered is DMA translation on the path every GPU allocation
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takes. The project states plainly that this is *their* configuration and not a
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tuning guide, that the flag turns off DMA translation machine-wide, and that it
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takes the NPU with it.
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## What it costs
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1. **The NPU endpoint dies.** With IOMMU off there is no PASID/SVA state and
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`/dev/accel/accel0` cannot be opened — `err=-19`, the exact failure
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documented in [[frank-npu]]. Audio input left the fleet with it; image input
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survives on `frank-large` through halogen's vision tower.
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2. **Posture change machine-wide.** Dankclaw also serves Caddy (the TLS edge
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and the Anubis/Authentik guard chain), Authentik, Pi-hole, Gitea, and the
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observability stack. DMA translation is now off for all of them. This was
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accepted explicitly as the price of the prefill figure.
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## What was deliberately NOT copied
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The reference machine's command line has six settings. Only one was measured,
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so only that one was taken:
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| setting | reference value | why not here |
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|---|---|---|
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| `amd_iommu=off` | set | **taken** — the measured 13–16 % |
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| `amdgpu.gttsize` | `126976` MiB | a size, not a constant: it must equal installed RAM (their table: 128 GB → 126976, 96 GB → 95232, 64 GB → 63488). Dankclaw's GTT already reports **114 GiB ≈ 94 % of its 121 GiB** without the flag, so it would buy nothing |
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| `ttm.pages_limit` | `32505856` | the same number in 4 KiB pages (their 128 GB row is 99.3 % of RAM). Pasting it onto a different machine asks the driver for more GTT than exists |
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| `amdgpu.vm_update_mode=0` | set | upstream has never run without it, makes no claim about what it buys, and lists it "for completeness rather than recommended" |
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| `amdgpu.noretry=0` | set | as above |
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| `amdgpu.sg_display=0` | set | as above |
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## Verification and revert
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```bash
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cat /proc/cmdline # expect amd_iommu=off, no iommu=pt
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ls /sys/kernel/iommu_groups/ | wc -l # expect 0 groups (was 30)
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systemctl is-active frank-npu # expect inactive (masked)
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curl -s http://127.0.0.1:7770/health # frank-large must still answer 200
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```
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**To revert:** put `iommu=pt` back in `GRUB_CMDLINE_LINUX_DEFAULT` in place of
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`amd_iommu=off`, run `sudo update-grub`, reboot, and unmask/start `frank-npu`
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with the archived unit (`.AGENTTRASH/frank-npu.service.flm-npu`) if the NPU
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endpoint is wanted back. The IOMMU change is independent of the halogen
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deployment — reverting one does not require reverting the other.
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## Related
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- [[frank-npu]] — the endpoint this retired, including the err=-19 root cause
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- [[halogen-flash-server]] — the runtime bought by the prefill figure
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- [[kingjones-strix-rocmfp4]] — the runtime it replaced (rollback target)
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## Citations
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- [peonist-ai/halogen-flash-server](https://github.com/peonist-ai/halogen-flash-server) — README "The host settings these numbers were measured on", CHANGELOG 0.5.5–0.5.8
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@@ -1,7 +1,7 @@
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---
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type: configuration
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title: frank-npu Runbook
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description: FastFlowLM (FLM) NPU sight+sound endpoint on Dankclaw — XDNA2 NPU serving Qwen3.8 Distilled Heretic vision+text pack on port 7771, including the IOMMU/SVA root cause that took it down at first deploy.
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type: reference
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title: frank-npu (retired) — FLM NPU endpoint on Dankclaw
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description: The retired FastFlowLM endpoint on Dankclaw's XDNA2 NPU — what it served, why it died on 2026-09-11 with the amd_iommu=off decision, and where every dependent route went.
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tags:
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- flm
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- fastflowlm
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@@ -9,133 +9,125 @@ tags:
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- npu
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- dankclaw
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- frank-npu
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timestamp: 2026-09-01
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- retired
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timestamp: 2026-09-11
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---
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# frank-npu — FLM NPU sight+sound Runbook
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# frank-npu — the retired FLM NPU endpoint
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`frank-npu` is the third inference endpoint on Dankclaw: a
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FastFlowLM (FLM) v1.0.1 server (`/usr/bin/flm`, dpkg package `fastflowlm`)
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running on the **XDNA2 NPU** (50 TOPS). It serves *sight* (vision) —
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which the iGPU llama.cpp fleet ([[kingjones-strix-rocmfp4]],
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`frank-large`) does not do. The model-selection tradeoff: the only
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NPU2 pack family on this box with BOTH a vision and an audio tower is the
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Gemma4 E4B IT pack; the uncensored candidate (`qwythos:9b`, 8.94 GB, 262k ctx)
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is text-only and fails the hard modality requirement, so this endpoint trades
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"uncensored" for "sight + sound".
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> **RETIRED 2026-09-11.** The endpoint is gone by operator decision, together
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> with the IOMMU configuration it required — see
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> [[dankclaw-iommu-translation-off]]. The service unit, env file and serve
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> script are staged in `serverAppConfigs/.AGENTTRASH/` (suffixed `.flm-npu`),
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> and the host unit is stopped and masked.
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## Deployment shape
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The third inference endpoint on Dankclaw: a FastFlowLM (FLM) v1.0.1 server
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(`/usr/bin/flm`, dpkg `fastflowlm`) on the **XDNA2 NPU** (50 TOPS), serving the
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whole local model registry on port 7771 and routing per request by the exact
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FLM registry tag. Its one capability the iGPU fleet lacked was **sight** — and
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briefly **sound**: the Gemma4 E4B IT NPU2 pack carries both a vision and an
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audio tower, which is why the service ran that pack rather than the
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uncensored-but-text-only alternative.
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This page is kept as the retirement record. The operational detail below was
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live-verified while the service ran and remains accurate about FLM's shape.
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## Why it is retired
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The replacement large-model runtime is worth **13–16 % of prefill** if the
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kernel boots with `amd_iommu=off` instead of `iommu=pt`, measured by the
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upstream project on this exact silicon. That single flag is the whole decision:
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- With IOMMU off there is no PASID/SVA state, and the XDNA2 driver cannot hand
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out `/dev/accel/accel0` — every open fails with `err=-19` ("No such device").
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That is precisely the failure the endpoint was rescued from on 2026-08-30,
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recorded in the next section.
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- `iommu=pt` is not a middle ground for the NPU *and* the prefill number: the
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passthrough domain still costs the prefill throughput the vendor measured.
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- The operator chose prefill, so the NPU endpoint goes.
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Consequences accepted at retirement: **audio input left the fleet with no
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replacement** (halogen reads images only, no audio or video), and the surviving
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image path is halogen's vision tower on `frank-large`.
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## Where its routes went
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| consumer | setting | now |
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|---|---|---|
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| Hermes | `auxiliary.vision` | `dankclaw-large` / `frank-large` (halogen vision tower) |
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| Hermes | `auxiliary.title_generation` | `dankserver-small` / `frank-small` |
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| harness (`~/.omp/agent/models.yml`) | `modelRoles.vision` | `llamacpp (dankclaw)` / `frank-large` |
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| harness | `modelRoles.tiny` | `llamacpp (dankserver)` / `frank-small` |
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| harness | `modelRoles.task` | `llamacpp (dankclaw)` / `frank-large:medium` |
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The `flm (dankclaw-npu)` provider block was removed from the harness model
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config, and the `dankclaw-npu` provider from Hermes's live `config.yaml`.
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## What it was
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| Field | Value |
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|-------|-------|
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|---|---|
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| Runtime | FLM v1.0.1 (`/usr/bin/flm`, dpkg `fastflowlm`) on the XDNA2 NPU |
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| Service | `frank-npu.service` (systemd system unit, `User=dank`, `Restart=on-failure`, `RestartSec=10`, `LimitMEMLOCK=infinity`) |
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| Files | `scripts/frank-npu.env`, `scripts/serve-frank-npu.sh`, `scripts/frank-npu.service` |
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| Deploy | `scripts/deploy.sh dankclaw --service frank-npu` (relink + daemon-reload + enable + restart; health gate polls `/v1/version`, 300 s cap — FLM has **no `/health` route**) |
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| Port | `7771` on `0.0.0.0` (52625/52626 left free for ad-hoc `flm serve` experiments) |
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| Power mode | `FLM_PMODE=turbo` — no other tenant uses the NPU on this host (the large model runs on the iGPU), so the top power mode costs no neighbour anything; drop to `performance` if iGPU power-budget contention ever shows |
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| Context | `FLM_CTX_LEN=131072 (128K; verified max on this box; native context length.) |
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| ASR | `FLM_ASR=0` — the E4B pack answers images natively through its vision tower in `/v1/chat/completions`; setting `FLM_ASR=1` additionally loads Whisper-V3-Turbo-NPU2 (+0.62 GB) and exposes `/v1/audio/transcriptions` |
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| Service | `frank-npu.service` (systemd **system** unit, `User=dank`, `Restart=on-failure`, `RestartSec=10`, `LimitMEMLOCK=infinity`) |
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| Files (archived) | `scripts/frank-npu.env`, `scripts/serve-frank-npu.sh`, `scripts/frank-npu.service` |
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| Port | `7771` on `0.0.0.0` |
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| Power mode | `FLM_PMODE=turbo` — nothing else used the NPU, so the top power mode cost no neighbour anything |
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| Context | `FLM_CTX_LEN=131072` (128K, the verified maximum on this box) |
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| Vision/audio | `FLM_ASR=0`; the E4B pack answers images through its own vision tower, and `FLM_ASR=1` would have added Whisper-V3-Turbo-NPU2 (+0.62 GB) and `/v1/audio/transcriptions` |
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The serve script exports `FLM_CONFIG_PATH=/home/dank/.config/flm/model_list.json`
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and `FLM_XCLBIN_PATH=/home/dank/.config/flm/xclbins`; kernels are symlinked
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from `/opt/fastflowlm/share/flm/xclbins/` into the per-pack directories. A tag
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swap is therefore an env-file edit, not a script edit.
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The serve script exported `FLM_CONFIG_PATH=/home/dank/.config/flm/model_list.json`
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and `FLM_XCLBIN_PATH=/home/dank/.config/flm/xclbins`, with kernels symlinked
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from `/opt/fastflowlm/share/flm/xclbins/` into the per-pack directories, so a
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tag swap was an env-file edit rather than a script edit.
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## Model tags for switching
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## API contract (as it behaved)
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FLM routes per-request by the exact registry tag in the `model` field. To swap
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the service model, change `FLM_MODEL` in the env file and restart. To let
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clients choose, send requests with the desired `model` field.
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- The endpoint served the **whole local registry** (36 tags at first deploy) on
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one port; `/v1/models` listed them all. Chat completions routed per request
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by the exact registry tag in the `model` field — never a service alias.
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- **Unknown tags did not 404**: `/v1/chat/completions` answered HTTP 200 with a
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flat error body `{"error":"Failed to load <tag> model!"}` and no `choices`.
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Status-code-only clients silently got an empty response.
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- Health was `GET /v1/version`; FLM has **no `/health` route**.
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- The NPU is a single-lane device — generations serialized FIFO. It was a
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background/triage endpoint, not interactive multi-user chat.
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| Tag | Model | Modality | Size | Family |
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|-----|-------|----------|------|--------|
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| `qwen3.8-distilled-heretic:9b` | Qwen3.8 Distilled Heretic | vision + reasoning | 7.6 GB | qwen3.5 |
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| `gemma4-it:e4b` | Gemma4 E4B IT | vision + audio | 9.1 GB | gemma4e |
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| `qwythos:9b` | Qwythos 9B Claude Mythos | vision + reasoning | 8.9 GB | qwen3.5 |
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| `gpt-oss:20b` | GPT-OSS 20B | text only | 13.8 GB | gpt-oss |
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## The IOMMU/SVA root cause (first deploy crashed, fixed 2026-08-30)
|
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**To swap the active model** (changes what the service loads at start):
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```
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sed -i 's/^FLM_MODEL=.*/FLM_MODEL=<tag>/' scripts/frank-npu.env
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./scripts/deploy.sh dankclaw --service frank-npu
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```
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First deploy crash-looped every 10 s with
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`Error: Open /dev/accel/accel0 failed (err=-19): No such device`. The chain,
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all live-verified on the host:
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**To switch per-request** (service stays loaded, client sends the tag):
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```
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curl http://192.168.0.143:7771/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{"model":"gemma4-it:e4b","messages":[...],"max_tokens":64}'
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```
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Known tags are in the user registry at
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`/home/dank/.config/flm/model_list.json`; unknown tags answer HTTP 200 with
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`{"error":"Failed to load <tag> model!"}` (no choices).
|
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## Serving model and API contract
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- The endpoint serves the **whole local registry** (36 tags at first deploy) on
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one port; `/v1/models` lists them all. Chat completions route per request by
|
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the exact FLM registry tag in the `model` field — never a service alias.
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- **Unknown model tags do NOT 404** (live-probed): `/v1/chat/completions`
|
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answers HTTP 200 with a flat error body
|
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`{"error":"Failed to load <tag> model!"}` and no `choices`;
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`/v1/completions` answers an OpenAI-shaped nested error
|
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(`type: server_error`, `code: 500`), also under HTTP 200. A valid tag
|
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routes that request to that model (response echoes the requested tag); no
|
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server restart is needed to switch between registry tags. Status-code-only
|
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clients silently get an empty response — check for the `error` key.
|
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- Multimodal content parts accepted by `/v1/chat/completions`:
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`{"type":"image_url","image_url":{"url":"data:image/png;base64,..."}}` and
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`{"type":"input_audio","input_audio":{"data":"<base64 WAV, no data: prefix>","format":"wav"}}`.
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- Chat template roles: only `system`/`user`/`assistant`; any other role fails
|
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the request with `Unexpected message role.`.
|
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- The NPU is a single-lane device: generations serialize in FIFO order. This is
|
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a background/triage endpoint, not an interactive multi-user chat.
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## Live-verified behavior (2026-08-30, first deploy)
|
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|
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- Vision tower: a generated red 8×8 PNG posted as an `image_url` data-URI was
|
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answered correctly ("The image is a solid red color."); the request consumed
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279 prompt tokens — the vision tower consumed the pixels (a text-only model
|
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given zero image bytes cannot answer "what color").
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- Audio tower: a 440 Hz decaying sine WAV posted as `input_audio` consumed
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37 prompt tokens vs 15 for the identical text-only control → ~22 audio-tower
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tokens; the model answered truthfully that it heard no speech (it is a tone,
|
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not speech — ASR stays off).
|
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|
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## The IOMMU/SVA root cause (first deploy crashed, fixed same day)
|
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|
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First deploy crash-looped every 10 s (`RestartSec=10`) with
|
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`Error: Open /dev/accel/accel0 failed (err=-19): No such device`. Root-cause
|
||||
chain, all live-verified on the host:
|
||||
|
||||
1. `amdxdna_drm_open` was failing **SVA bind with ret -19** for every client —
|
||||
the XDNA2 driver cannot hand out the accel device without PASID/SVA.
|
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2. SVA requires the AMD IOMMU to be enabled; the kernel cmdline carried
|
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`iommu=off` (a perf/DMA tuning experiment from 2026-08-20, applied at the
|
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2026-08-26 reboot). With IOMMU off there are no IOMMU groups and no PASID
|
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state; `PASIDCtl: Enable-` was observed disabled on `0000:c5:00.1`.
|
||||
3. Fix: replace `iommu=off` with **`iommu=pt`** in `GRUB_CMDLINE_LINUX_DEFAULT`
|
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on `/etc/default/grub`, `update-grub`, reboot. Passthrough mode keeps the
|
||||
iGPU default domain identity-mapped (zero DMA-translation overhead for
|
||||
`frank-large`) while enabling IOMMU hardware + PASID, which is what
|
||||
the NPU driver's SVA bind requires — PASID domains are paged regardless of
|
||||
the default-domain type.
|
||||
1. `amdxdna_drm_open` failed **SVA bind with ret -19** for every client — the
|
||||
XDNA2 driver cannot hand out the accel device without PASID/SVA.
|
||||
2. SVA requires the AMD IOMMU to be enabled, and the kernel cmdline then
|
||||
carried `iommu=off`. With IOMMU off there are no IOMMU groups and no PASID
|
||||
state; `PASIDCtl: Enable-` was observed on `0000:c5:00.1`.
|
||||
3. The fix was `iommu=pt`: passthrough keeps the iGPU default domain
|
||||
identity-mapped (no DMA-translation overhead for `frank-large`) while
|
||||
enabling the IOMMU hardware and PASID that the driver's SVA bind needs.
|
||||
4. Post-boot verification: `/sys/kernel/iommu_groups/` populated (30 groups),
|
||||
zero `SVA bind device failed` journal entries since boot, accel0 recreated at
|
||||
boot, service active with `NRestarts=0`, and the image/audio probes above
|
||||
served live.
|
||||
zero `SVA bind device failed` entries since boot, `accel0` recreated at
|
||||
boot, service active with `NRestarts=0`.
|
||||
|
||||
The same root cause explains the older `amdgpu 0000:c4:00.0: no vmid pasid
|
||||
mapping supported` kernel log line — a consequence of IOMMU-off, not a GPU
|
||||
fault. Do not set `iommu=off` on this host again; it silently kills the NPU.
|
||||
The same root cause explained the older
|
||||
`amdgpu 0000:c4:00.0: no vmid pasid mapping supported` kernel line — a
|
||||
consequence of IOMMU-off, not a GPU fault.
|
||||
|
||||
## Client wiring
|
||||
**The standing rule this produced — "never set `iommu=off` on this host again" —
|
||||
has been superseded**: the NPU it protected is retired by decision, and
|
||||
`amd_iommu=off` is now intentional. See
|
||||
[[dankclaw-iommu-translation-off]] for the current posture and how to revert it.
|
||||
|
||||
The pi client model config (`/home/dank/.pi/agent/models.json` on Dankware)
|
||||
registers this endpoint under the Dankclaw provider with the **exact** FLM
|
||||
registry tag as the model `id` (unknown tags answer a 200-wrapped error, not
|
||||
a silent 1B fallback), `baseUrl` `http://192.168.0.143:7771/v1`, and a per-request context
|
||||
window equal to the serving ctx-len. Health checks for this service must use
|
||||
`GET /v1/version` (there is no `/health` route).
|
||||
## Client wiring (historical)
|
||||
|
||||
The pi/harness model config registered this endpoint with the **exact** FLM
|
||||
registry tag as the model `id` and `baseUrl` `http://192.168.0.143:7771/v1`.
|
||||
Both that provider block and Hermes's `dankclaw-npu` provider were removed at
|
||||
retirement; the routes are mapped in the table above.
|
||||
|
||||
## Citations
|
||||
|
||||
- [FastFlowLM](https://github.com/FastFlowLM/FastFlowLM) — FLM runtime and NPU model packs
|
||||
- [[dankclaw-iommu-translation-off]] — the decision that retired this endpoint
|
||||
- [[halogen-flash-server]] — the surviving image-input path
|
||||
@@ -0,0 +1,240 @@
|
||||
---
|
||||
type: reference
|
||||
title: halogen-flash-server on Dankclaw (frank-large)
|
||||
description: The active frank-large runbook — peonist-ai/halogen-flash-server 0.5.8 serving Qwen3.8-Flash-Next (w4b) on the Dankclaw gfx1151 box: container shape, deployed flags, the memory model, the client contract, and the failure modes worth knowing.
|
||||
tags:
|
||||
- llm
|
||||
- halogen
|
||||
- dankclaw
|
||||
- frank-large
|
||||
- strix-halo
|
||||
- gfx1151
|
||||
- qwen4exp
|
||||
- rocm
|
||||
timestamp: 2026-09-11
|
||||
---
|
||||
|
||||
# halogen-flash-server on Dankclaw (frank-large)
|
||||
|
||||
> **ACTIVE since 2026-09-11.** Replaced the llama.cpp / kingjones30-ROCmFPX
|
||||
> STRIX deployment (see [[kingjones-strix-rocmfp4]], now the rollback target).
|
||||
> Deployed as a rootless Quadlet container,
|
||||
> `dankclaw/frank-large/quadlet/frank-large.container`, port 7770.
|
||||
|
||||
The engine is a from-scratch serving runtime for the Qwen3.8-Flash-Next
|
||||
architecture on AMD's gfx1151 (Strix Halo) — the same silicon this host runs.
|
||||
Upstream's own comparison table measures it at **roughly 4x the prefill
|
||||
throughput** of the llama.cpp-family runtimes it ships against (EngramHalo.cpp,
|
||||
ROCmFP4, CIRU-IU4) on a 32K prompt, and prefill is most of the wall clock on any
|
||||
prompt with real context. That, not decode, is the reason for the swap.
|
||||
|
||||
## Shape
|
||||
|
||||
One container runs both halves of the stack:
|
||||
|
||||
| half | port | reachable |
|
||||
|---|---|---|
|
||||
| engine | 8730 | container loopback only — **unauthenticated, never publish it** |
|
||||
| OpenAI front-end | 8731 | published as host **7770** |
|
||||
|
||||
The `all` mode is upstream's default and the shape a single-container host
|
||||
wants: the front-end talks to the engine over loopback inside the container, so
|
||||
there is one process tree, one log, and one published port.
|
||||
|
||||
`HALOGEN_MODEL_ID=frank-large` sets the id reported at `/v1/models`, in
|
||||
`/health`, and in every response body. Requests are **never rejected for naming
|
||||
a different model** — the server serves whatever asks. Keeping the fleet alias
|
||||
is therefore free, and it means Hermes, the harness config, the OpenWebUI
|
||||
discovery, the `services.json` probe and the docs needed no rename.
|
||||
|
||||
## Weights
|
||||
|
||||
`peonist-ai/halogen-qwen3.8-flash-next` (HuggingFace, public and ungated):
|
||||
|
||||
| file | size | role |
|
||||
|---|---|---|
|
||||
| `qwen38-flash-next-w4b.hgn` | 115.55 GiB | the checkpoint |
|
||||
| `qwen38-flash-next-w4b.overlay.hgn` | 2.31 GiB | **quality sidecar** — picked up automatically; the engine warns at startup if it is missing |
|
||||
| `qwen38-flash-next-vision.hgn` | 0.84 GiB | vision tower (see below) |
|
||||
| `tokenizer/` | ~21 MB | flat tokenizer dir; found beside the checkpoint, so no extra mount |
|
||||
|
||||
`HALOGEN_DOWNLOAD` fetches the whole repo into the bind mount on **first start
|
||||
only** — the entrypoint acts only when the checkpoint is absent, so a restart
|
||||
never re-downloads, and `huggingface_hub` resumes an interrupted pull. The
|
||||
mount must be read-write for this. Roughly 127 GB; on Dankclaw it lands in
|
||||
`/home/dank/models/halogen`.
|
||||
|
||||
`overlay-speed.hgn` (2.22 GiB) comes along with the repo but is unused: it
|
||||
trades the `o_proj` calibration for about 2 % of decode, and the quality
|
||||
sidecar is the default for a reason.
|
||||
|
||||
## Deployed flags
|
||||
|
||||
Everything else is configured by environment variable — there is no config
|
||||
file, and the flags are read once at startup. These are the departures from
|
||||
upstream's defaults:
|
||||
|
||||
| flag | value | why |
|
||||
|---|---|---|
|
||||
| `HALOGEN_MODEL_ID` | `frank-large` | fleet identity; no client rename |
|
||||
| `HALOGEN_CTX` | `262144` | the model's native context, and what both clients declare |
|
||||
| `HALOGEN_KV_POOL_POSITIONS` | `262144` | conservative for a **shared** 121 GiB host: one full-length conversation, or four at 65k, at ~7.2 GiB |
|
||||
| `HALOGEN_KV_SLOTS` | `4` | four concurrent generations; slots share the pool and cost ~115 MiB each |
|
||||
| `HALOGEN_HOST_RESERVE_GIB` | `24` | RAM kept for the n-gram table the engine reads through the page cache — above upstream's 20 because a dozen containers share this host |
|
||||
| `HALOGEN_VISION_TOWER` | `1` | image input; the fleet's only image path since [[frank-npu]] was retired |
|
||||
| `HALOGEN_DOWNLOAD` | `peonist-ai/halogen-qwen3.8-flash-next` | first-start fetch |
|
||||
|
||||
Everything else is upstream's default, deliberately: prompt cache mode `2`
|
||||
(two entries per conversation — end-of-system-prompt and end-of-history — which
|
||||
already covers the shared-prefix case), `HALOGEN_CACHE_INPLACE=1` (the snapshot
|
||||
stays ~115 MiB at any depth), the speculative drafter `1` (byte-identical at
|
||||
temperature 0, and it stands down whenever a second conversation is
|
||||
generating), the quality sidecar, `HALOGEN_ADMIT_CHUNK=0` (a non-zero value
|
||||
gives up the byte-identity property), the baked `HALOGEN_MAX_TOK=32768`
|
||||
(16.7 GiB prefill arena), and the default `HALOGEN_MAX_TOKENS_CAP=65536`.
|
||||
|
||||
## Memory model
|
||||
|
||||
Three numbers explain the whole box:
|
||||
|
||||
- **~68 GiB pinned weights.** The checkpoint is mapped and registered with the
|
||||
GPU in place, never copied. The kernel counts the locked pages as reclaimable
|
||||
file cache, so `free`, `MemAvailable` and every dashboard built on them
|
||||
**overstate free memory by the size of the model**. The server prints the
|
||||
corrected figure at startup; believe that line, not Grafana.
|
||||
- **~7.2 GiB per 262,144 KV positions**, plus the prefill arena (16.7 GiB at
|
||||
`HALOGEN_MAX_TOK=32768`, 8.4 GiB at 16384). The engine's device-side budget
|
||||
stops at roughly 47 GiB on a 128 GB machine *with the weights pinned* — and
|
||||
lower on a machine carrying more besides this server, which Dankclaw is.
|
||||
- **`HALOGEN_HOST_RESERVE_GIB`** is what is left for the page cache the lookup
|
||||
table is read through. Too little and long prompts crawl with the disk busy
|
||||
and the process in uninterruptible sleep — that is a cache problem, not a
|
||||
memory problem, and the fix is a *smaller* pool, not a bigger one.
|
||||
|
||||
`HALOGEN_KV_POOL_FIT=1` (default) measures that budget at startup and lowers
|
||||
the pool itself if the configured one will not fit, printing what it chose.
|
||||
Read those lines on every restart; they are the ground truth for sizing.
|
||||
|
||||
**Co-tenancy.** `HALOGEN_FLASH_PIN_TRUNK=1` (default) is what the published
|
||||
decode numbers were measured with, and it means this container holds most of
|
||||
the host. If a co-tenant then takes the remainder, both it and the engine can
|
||||
stall for minutes at a time at full CPU with no disk activity and no output.
|
||||
That is documented behaviour, not a crash, and it needs no restart.
|
||||
`HALOGEN_FLASH_PIN_TRUNK=0` gives the memory back and costs several times the
|
||||
decode speed — a last resort, not a tuning option.
|
||||
|
||||
## Client contract
|
||||
|
||||
The differences from llama.cpp that bite are all in the request, not the
|
||||
deployment:
|
||||
|
||||
- **No server-side sampler defaults.** `temperature` absent or `0` is
|
||||
**greedy** decode; above 0 the request samples on the same drafter. Supported
|
||||
fields: `temperature`, `top_p`, `top_k`, `min_p`, `seed`,
|
||||
`presence_penalty`, `frequency_penalty`, `logit_bias`, `logprobs`. Refused
|
||||
with a 400: `top_logprobs`, `logprobs` with `stream: true`, `n > 1`, and any
|
||||
value outside its defined range (values are refused, never clamped).
|
||||
The fleet runs greedy for clients that stay silent — deterministic, and
|
||||
byte-identical with the drafter.
|
||||
- **The token budget covers thinking.** The default is **8192**, and a budget
|
||||
that runs out mid-thought returns `finish_reason: "length"` with an **empty
|
||||
`content`** and the partial reasoning in `reasoning_content` — which most
|
||||
clients do not display. Above the cap (`HALOGEN_MAX_TOKENS_CAP`, 65536) a
|
||||
request is a 400 rather than a silent truncation. `max_tokens`,
|
||||
`max_completion_tokens` and `max_output_tokens` all work and must agree if
|
||||
more than one is sent.
|
||||
- **`reasoning_effort`** is accepted at the top level and inside
|
||||
`chat_template_kwargs`: `minimal`, `low`, `medium`, `high`, `xhigh`. The
|
||||
model's default is `xhigh`. `minimal` aliases the template's `low` and still
|
||||
reasons; `enable_thinking: false` turns thinking off; `preserve_thinking` is
|
||||
honoured. `preserve_reasoning` is a **400** — it is the llama.cpp-era key.
|
||||
- `/v1/models`, `/health` and completions all report the served id, and
|
||||
`reasoning_content` carries the reasoning trace.
|
||||
|
||||
**Pool admission is the one arithmetic trap.** A request reserves its prompt
|
||||
**plus** `max_tokens` positions when it is admitted; if the pool cannot hold it
|
||||
the request waits in arrival order, and after the queue timeout (3600 s) it
|
||||
gets a `503 engine_busy`. A prompt large enough that prompt + budget exceeds
|
||||
the pool can therefore never be admitted at all. The 262,144-position pool is
|
||||
the binding constraint on how large a conversation can get, not `HALOGEN_CTX`
|
||||
and not the client's declared `context_length`.
|
||||
|
||||
## Vision
|
||||
|
||||
With the tower loaded, `/v1/chat/completions` accepts the usual OpenAI image
|
||||
content part carrying a `data:` URL or bare base64 — **`http(s)` URLs are
|
||||
refused deliberately**, because fetching one would make the server issue
|
||||
outbound requests to wherever a client pointed it. One image costs about 2,040
|
||||
tokens of context and 5.5 / 11.8 / 25.3 s at 1280x800 / 1920x1080 / 2560x1440;
|
||||
text at 12 pt and above is read exactly, and a bigger frame past that point
|
||||
adds empty area rather than detail. Audio and video have no path here at all —
|
||||
that capability left with [[frank-npu]].
|
||||
|
||||
## Deploy and operate
|
||||
|
||||
```bash
|
||||
./scripts/deploy.sh dankclaw --service frank-large
|
||||
```
|
||||
|
||||
The handler retires the llama.cpp-era **root** unit first (stops it, drops its
|
||||
enable symlinks, moves `/etc/systemd/system/frank-large.service` into the home
|
||||
trash — never `rm`), then pulls `ghcr.io/peonist-ai/halogen-flash-server:0.5.8`,
|
||||
re-tags it to the `localhost/` alias the unit references, installs the Quadlet,
|
||||
and restarts the generated unit. Boot persistence comes from
|
||||
`[Install] WantedBy=default.target` in the unit file plus linger on the deploy
|
||||
user — generated units **cannot** be `systemctl --user enable`d on this host.
|
||||
|
||||
The health gate is bootstrap-aware: while the checkpoint is absent the
|
||||
container is downloading and `/health` cannot answer, so the handler waits for
|
||||
the file instead of burning its budget and reporting a failure that is not one.
|
||||
|
||||
```bash
|
||||
systemctl --user status frank-large.service # the generated unit
|
||||
podman logs frank-large | head -40 # version banner + memory ledger
|
||||
curl -s http://127.0.0.1:7770/health # 200 only after the engine PONGs
|
||||
curl -s http://127.0.0.1:7770/v1/models
|
||||
```
|
||||
|
||||
`/health` asks the **engine** for a PONG before answering, so a 200 means
|
||||
"ready to serve", not merely "process alive". During the first-start download
|
||||
it stays unhealthy by design.
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
| symptom | cause |
|
||||
|---|---|
|
||||
| `dmalloc: FAILED requesting … (out of memory)` then `HIP … out of memory` | the KV pool did not fit. `HALOGEN_KV_SLOTS` will not fix it (slots share the pool); lower `HALOGEN_KV_POOL_POSITIONS` to 262144, then `HALOGEN_MAX_TOK` to 16384 (~9 % prefill) |
|
||||
| starts, answers short prompts, collapses to a few tok/s on a long one, disk busy, process in uninterruptible sleep | short of **file cache**, not memory — lower the pool and/or raise `HALOGEN_HOST_RESERVE_GIB` |
|
||||
| long replies that look cut off | read `finish_reason`: `stop` means you have the whole answer, `length` means you ran out of budget (thinking counts) |
|
||||
| a request that never returns, then `503 engine_busy` | the pool could not reserve prompt + `max_tokens`; see the admission trap above |
|
||||
| both the engine and a co-tenant stall for minutes at full CPU | the pinned-trunk trade; see Memory model |
|
||||
| `free`, `MemAvailable`, Grafana all wrong by ~68 GiB | expected — locked weights are counted as reclaimable |
|
||||
|
||||
`HALOGEN_VERBOSE=1` and `HALOGEN_DMALLOC_LOG=1` print the fullest startup
|
||||
account and every allocation over 64 MB; both are the vendor's suggested
|
||||
evidence to attach to a report. The two lines worth grepping first:
|
||||
|
||||
```bash
|
||||
podman logs frank-large 2>&1 | grep -E '^(dmalloc|kv pool):'
|
||||
```
|
||||
|
||||
## Rollback
|
||||
|
||||
The llama.cpp era is intact: the STRIX payload stays at
|
||||
`/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX`, the
|
||||
`kingjones30/ROCmFPX` build stays at
|
||||
`/home/dank/GitPackages/kingjones-ROCmFPX/build`, and the retired unit, env and
|
||||
serve script are in `serverAppConfigs/.AGENTTRASH/` (suffixed `.llama.cpp`).
|
||||
Rolling back is a `git revert` of this change set plus a deploy — **but the
|
||||
Quadlet unit must be removed from `~/.config/containers/systemd/` first**
|
||||
(otherwise the restarted root unit and the still-installed container both
|
||||
claim port 7770). See [[kingjones-strix-rocmfp4]].
|
||||
|
||||
The `amd_iommu=off` kernel argument that came with this change is separate and
|
||||
reverts on its own — see [[dankclaw-iommu-translation-off]].
|
||||
|
||||
## Citations
|
||||
|
||||
- [peonist-ai/halogen-flash-server](https://github.com/peonist-ai/halogen-flash-server) — README, `docs/FLAGS.md`, `deploy/entrypoint.sh`, `docker-compose.yml`, CHANGELOG (v0.5.8)
|
||||
- [peonist-ai/halogen-qwen3.8-flash-next](https://huggingface.co/peonist-ai/halogen-qwen3.8-flash-next) — weights and file inventory
|
||||
- [Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) — base model
|
||||
@@ -1,10 +1,9 @@
|
||||
# LLM Fleet — Knowledge Base
|
||||
|
||||
Documentation for the LLM inference fleet on two local machines
|
||||
(2026-08-30): FreeToken v0.1.2 on Dankserver (frank-small,
|
||||
Huihui-Qwen3.6-35B-A3B-abliterated-FP8) and kingjones30/ROCmFPX
|
||||
llama.cpp on Dankclaw (frank-large, kingjones777
|
||||
Qwen3.8-Flash-Next ROCmFP4-STRIX). Both services run the Qwen-Sharp chat template.
|
||||
(2026-09-11): FreeToken v0.1.2 on Dankserver (frank-small,
|
||||
Huihui-Qwen3.6-35B-A3B-abliterated-FP8) and halogen-flash-server 0.5.8 on
|
||||
Dankclaw (frank-large, peonist-ai Qwen3.8-Flash-Next w4b).
|
||||
|
||||
> 2026-08-22: the former `vllmScripts` repository is merged into the
|
||||
> serverAppConfigs repository. This knowledge base moved from the old repo's
|
||||
@@ -26,10 +25,10 @@ block-fp8, 20% MoE residency, 453k KV / 4 streams]
|
||||
|
||||
subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
|
||||
E2[gfx1151 iGPU 64 GiB unified memory]
|
||||
E[kingjones30/ROCmFPX build
|
||||
E[halogen-flash-server 0.5.8
|
||||
frank-large, port 7770]
|
||||
F[kingjones777 Qwen3.8-Flash-Next
|
||||
ROCmFP4-STRIX, 401k ctx / 2 slots, mmap PLE]
|
||||
F[peonist-ai Qwen3.8-Flash-Next
|
||||
w4b .hgn + overlay, 262k ctx / 4 slots]
|
||||
E2 --> E --> F
|
||||
end
|
||||
|
||||
@@ -53,14 +52,19 @@ ROCmFP4-STRIX, 401k ctx / 2 slots, mmap PLE]
|
||||
(bs1/bs3/bs4/bs6, 8k–700k KV) on Dankserver RTX 3090
|
||||
- [[deployment]] — deploy and update process for both servers
|
||||
- [[frank-redo-2026-08-17]] — the 2026-08-17 topology change
|
||||
- [[kingjones-strix-rocmfp4]] — ACTIVE frank-large runbook:
|
||||
kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF, 177B params
|
||||
- [[halogen-flash-server]] — ACTIVE frank-large runbook since 2026-09-11:
|
||||
peonist-ai/halogen-flash-server 0.5.8 serving
|
||||
peonist-ai/halogen-qwen3.8-flash-next (Qwen3.8-Flash-Next w4b .hgn +
|
||||
quality overlay), rootless Quadlet container on Dankclaw port 7770 —
|
||||
deployed flags, memory model, client contract, troubleshooting
|
||||
- [[dankclaw-iommu-translation-off]] — why Dankclaw boots with
|
||||
`amd_iommu=off` since 2026-09-11 (13-16 % prefill, measured upstream),
|
||||
what it cost (the NPU endpoint), what was deliberately not copied from
|
||||
the reference machine, and how to revert
|
||||
- [[kingjones-strix-rocmfp4]] — PRIOR frank-large runbook and rollback
|
||||
target: kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF, 177B params
|
||||
(56B MoE + 51.2B PLE), single 113.47 GiB GGUF, on the card's pinned
|
||||
kingjones30/ROCmFPX fork (swapped 2026-08-30)
|
||||
- [[agentionai-fast-imatrix]] — retired frank-large runbook:
|
||||
agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87.06 GiB
|
||||
Q4_0_ROCMFP4_FAST imatrix, v2 joined PLE) on build-qwen38
|
||||
(2026-08-29 → 2026-08-30); rollback binary + payload retained
|
||||
kingjones30/ROCmFPX fork (2026-08-30 → 2026-09-11)
|
||||
- [[ubatch-benchmark-large]] — active-model llama-bench ubatch sweep plan and results
|
||||
- [[kingjones-q8agent-rocmfpx]] — the retired Q8_0-AGENT investigation and `set_rows` failure
|
||||
- [[eemin-rocmi4-mtp]] — the former caf-eemin Qwen3.8-27B embedded-MTP model
|
||||
@@ -78,11 +82,11 @@ ROCmFP4-STRIX, 401k ctx / 2 slots, mmap PLE]
|
||||
(deployed and reverted 2026-08-22)
|
||||
- [[Dankserver System Specs]] — the RTX 3090 box (frank-small)
|
||||
- [[Dankclaw System Specs]] — the Strix Halo gfx1151 box (frank-large,
|
||||
served on the pinned kingjones30/ROCmFPX llama.cpp fork since 2026-08-30)
|
||||
- [[frank-npu]] — ACTIVE FLM NPU sight+sound runbook on
|
||||
Dankclaw: Gemma4 E4B vision+audio pack on the XDNA2 NPU (FLM v1.0.1, port
|
||||
7771, whole-registry serving, per-request model routing), incl. the
|
||||
IOMMU/SVA root cause and the `iommu=pt` fix behind its first-deploy crash
|
||||
on halogen-flash-server since 2026-09-11)
|
||||
- [[frank-npu]] — RETIRED 2026-09-11: the FLM NPU sight+sound endpoint
|
||||
on Dankclaw (Gemma4 E4B vision+audio pack, XDNA2, port 7771), kept as
|
||||
the retirement record — the IOMMU/SVA err=-19 root cause and where
|
||||
every dependent route moved
|
||||
|
||||
## CIRU Reference (Dankclaw)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
---
|
||||
type: reference
|
||||
title: kingjones Qwen3.8-Flash-Next ROCmFP4 STRIX on Dankclaw
|
||||
description: ACTIVE frank-large runbook. kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF served by the card's pinned kingjones30/ROCmFPX fork. 177B params (56B MoE + 51.2B PLE streamed via mmap), single 113.47 GiB GGUF, 401408 ctx x 2 slots.
|
||||
title: kingjones Qwen3.8-Flash-Next ROCmFP4 STRIX on Dankclaw (prior, rollback target)
|
||||
description: PRIOR frank-large runbook and rollback target (2026-08-30 → 2026-09-11). kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF served by the card's pinned kingjones30/ROCmFPX fork. 177B params (56B MoE + 51.2B PLE streamed via mmap), single 113.47 GiB GGUF, 401408 ctx x 2 slots.
|
||||
tags:
|
||||
- llama.cpp
|
||||
- rocm
|
||||
@@ -16,12 +16,22 @@ timestamp: 2026-08-30
|
||||
|
||||
# kingjones Qwen3.8-Flash-Next ROCmFP4 STRIX on Dankclaw
|
||||
|
||||
> **Active again since 2026-08-30** on the model card's **pinned runtime**:
|
||||
> the `kingjones30/ROCmFPX` fork (replaced the agentionai FAST deployment
|
||||
> which ran on charlie's `build-qwen38`). Text-only tier; the agentionai
|
||||
> f16 vision tower is paired for mmproj and loads clean. Speculative
|
||||
> decoding is OFF (the card ships no spec flags; the Flash-Next MTP heads
|
||||
> do not load on this loader family — see MTP Draft Head).
|
||||
> **PRIOR / ROLLBACK TARGET since 2026-09-11** — frank-large moved to
|
||||
> [[halogen-flash-server]] (peonist-ai halogen-flash-server 0.5.8 serving
|
||||
> Qwen3.8-Flash-Next w4b), which upstream measures at roughly 4x this
|
||||
> runtime's prefill. Everything below documents the llama.cpp era and stays
|
||||
> accurate for a rollback: the payload is still at
|
||||
> `/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX`, the binary
|
||||
> at `/home/dank/GitPackages/kingjones-ROCmFPX/build`, and the unit, env and
|
||||
> serve script are staged in `serverAppConfigs/.AGENTTRASH/` (`.llama.cpp`).
|
||||
> Rolling back also requires removing the halogen Quadlet from
|
||||
> `~/.config/containers/systemd/` so it stops claiming port 7770.
|
||||
>
|
||||
> Ran 2026-08-30 → 2026-09-11 on the model card's **pinned runtime**: the
|
||||
> `kingjones30/ROCmFPX` fork. Text-only tier; the agentionai f16 vision
|
||||
> tower was paired for mmproj and loads clean. Speculative decoding is OFF
|
||||
> (the card ships no spec flags; the Flash-Next MTP heads do not load on
|
||||
> this loader family — see MTP Draft Head).
|
||||
|
||||
`frank-large` (port 7770) serves
|
||||
`Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf` (single file, 113.47 GiB)
|
||||
|
||||
@@ -121,9 +121,17 @@ The LLM inference fleet on the two hosts. Full index:
|
||||
agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87.06 GiB,
|
||||
Q4_0_ROCMFP4_FAST) + own MTP draft, build-qwen38 (retired 2026-08-30;
|
||||
rollback record)
|
||||
- [[kingjones-strix-rocmfp4]] — the ACTIVE frank-large runbook since
|
||||
2026-08-30: kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF (177B params,
|
||||
113.47 GiB) on the card's pinned kingjones30/ROCmFPX build
|
||||
- [[halogen-flash-server]] — the ACTIVE frank-large runbook since
|
||||
2026-09-11: peonist-ai/halogen-flash-server 0.5.8 serving
|
||||
peonist-ai/halogen-qwen3.8-flash-next (w4b) as a rootless Quadlet
|
||||
container on Dankclaw, port 7770 — flags, memory model, client contract
|
||||
- [[dankclaw-iommu-translation-off]] — why Dankclaw boots with
|
||||
`amd_iommu=off` since 2026-09-11 (13-16 % prefill), what it cost
|
||||
(the NPU endpoint), and how to revert
|
||||
- [[kingjones-strix-rocmfp4]] — the PRIOR frank-large runbook
|
||||
(2026-08-30 → 2026-09-11) and the rollback target:
|
||||
kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF on the card's
|
||||
pinned kingjones30/ROCmFPX build
|
||||
- [[kingjones-q8agent-rocmfpx]] — the retired Q8_0-AGENT investigation and `set_rows` failure
|
||||
- [[eemin-rocmi4-mtp]] — the former caf-eemin Qwen3.8-27B ROCmI4 embedded-MTP model on Dankclaw
|
||||
- [[ciru-activefpx-promptforge]] — the RETIRED v3 CIRU PromptForge runtime on Dankclaw (superseded 2026-08-24)
|
||||
@@ -135,10 +143,10 @@ The LLM inference fleet on the two hosts. Full index:
|
||||
- [[Dankserver System Specs]] — the RTX 3090 box hardware
|
||||
- [[Dankclaw System Specs]] — the Strix Halo gfx1151 box (frank-large)
|
||||
- [[Dankclaw Improvements]] — host-level changes on the Strix Halo box
|
||||
- [[frank-npu]] — ACTIVE FLM NPU sight+sound runbook on Dankclaw:
|
||||
Gemma4 E4B vision+audio pack on the XDNA2 NPU, port 7771; whole local
|
||||
registry served on one port with per-request model routing; includes the
|
||||
IOMMU/SVA root cause and the `iommu=pt` fix behind its first-deploy crash
|
||||
- [[frank-npu]] — the RETIRED FLM NPU endpoint on Dankclaw (2026-09-11):
|
||||
Gemma4 E4B vision+audio pack on the XDNA2 NPU, port 7771; kept as the
|
||||
retirement record, including the IOMMU/SVA err=-19 root cause and
|
||||
where every dependent route moved
|
||||
|
||||
### Benchmarks and Sizing
|
||||
|
||||
|
||||
Reference in new issue
Block a user