Upgrade frank-default-large to kingjones Q8_0 AGENT at full 262144 context

frank-default-large now serves the kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT model with a standalone MTP draft head (Q4_0), f16 K + TurboQuant V KV cache, and the Sharp chat template. Context is maxed to 262144 (one slot); reasoning is on with preserve_thinking + preserve_reasoning in the chat kwargs. - frank-default-large.env: Q8_0 AGENT model paths, CTX_SIZE=262144, REASONING=on, REASONING_FORMAT=none, CHAT_TEMPLATE_KWARGS {enable_thinking, preserve_thinking, preserve_reasoning} - serve-frank-large.sh: standalone draft-mtp profile (already switched off the Kairic/PromptForge path) - download-q8agent.sh: reproducible HF fetch of the three payload files - docs/LLM/kingjones-q8agent-rocmfpx.md: Q8_0 AGENT runbook - AGENTS.md: topology + ACTIVE runtime section + TTM/GTT load note - qwen3.8-strix-optimizations, Dankclaw Improvements: TTM pages_limit now 114 GiB (applied 2026-08-25), full 262k KV + Q8 payload fit in one slot - frank_large_config.bats: assert 262144 context, reasoning + preserve_* enabled The TTM/GTT was raised to 114 GiB (29,883,536 pages) to hold the full 262k KV.
docs: add SearXNG providers guide for unblocking Google behind Gluetun VPN
2026-08-25 07:12:02 -07:00 · 2026-08-25 06:22:57 -07:00 · 2026-08-25 04:41:04 -07:00 · 2026-08-25 04:20:15 -07:00 · 2026-08-25 04:13:00 -07:00 · 2026-08-25 04:09:12 -07:00
17 changed files with 1248 additions and 211 deletions
@@ -27,14 +27,17 @@ host.
 | Target | Runtime | Service | Model | Port |
 |--------|---------|---------|-------|------|
 | Dankserver | llama.cpp (upstream b10121) | frank-default-small | HauhauCS Qwen3.6-35B-A3B-Uncensored-Aggressive Q6_K_P + ngram-mod, 36 MoE experts on CPU | 7770 |
-| Dankclaw | CIRU ROCmFPX llama.cpp, PromptForge v3 runtime (ROCm 7.15 SDK in the ling3-ciru venv) | frank-default-large | jcbtc Qwen3.8-27B-CIRU-ActiveFPX-PromptForge v3 (Q8-FFNEQ-LateQ6, full-W8 views, Output-K8 MTP proxy, BF16 vision), 262K context / 1 slot | 7770 |
+| Dankclaw | charlie12345/ROCmFPX llama.cpp | frank-default-large | kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT Q8_0_ROCMFPX (standalone MTP draft head, Turbo4 V cache, 262K context / 1 slot), reasoning on | 7770 |

 History: the 2026-08-17 redo retired the pipeline-parallel split and the
 FastFlowLM NPU endpoint. The 2026-08-18 swap retired the vLLM service on
 Dankclaw. On 2026-08-21 a DFlash2 Vulkan deployment briefly replaced CIRU,
 then was reverted the same day for speed. On 2026-08-22 the service briefly
 swapped to the Kairic Edge IU4 runtime, then was reverted to v3 the same day
-(operator decision). Runbooks: [docs/LLM/index.md](docs/LLM/index.md).
+(operator decision). On 2026-08-25 the service switched to the kingjones
+Qwen3.8-27B-ROCmFPX-Q8_0-AGENT model (standalone MTP draft, 262144 context,
+reasoning on); the previous Kairic Edge model was retired the same day. Runbooks:
+[docs/LLM/index.md](docs/LLM/index.md).
 Retired scripts live in `old/` (reference only) and `.AGENTTRASH/`.

 ## Repository Layout
@@ -179,17 +182,36 @@ When you rename a service or move a model to a new host, update

 ## Runtime & Troubleshooting

-### v3 CIRU ActiveFPX PromptForge llama.cpp (Dankclaw, ACTIVE)
+### kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT llama.cpp (Dankclaw, ACTIVE)
+
+The large service serves `kingjones/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT`
+(public) from `/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT/`
+with a charlie12345/ROCmFPX `llama-server` (build `build-kairic`). It runs a
+standalone MTP draft head on ROCm0, f16 K + TurboQuant V KV cache, a full
+262144 context / 1 slot, and reasoning on (Sharp template, budget -1,
+`--reasoning-format none`; chat kwargs keep `preserve_thinking` +
+`preserve_reasoning`). The payload (~28 GB main + 1.7 GB draft + 0.9 GB
+mmproj, ~30 GB total) plus the 262k KV cache fit in the lifted 114 GiB TTM/GTT
+budget (raised 2026-08-25). Env `scripts/frank-default-large.env`, serve
+`scripts/serve-frank-large.sh`, runbook
+[docs/LLM/kingjones-q8agent-rocmfpx.md](docs/LLM/kingjones-q8agent-rocmfpx.md).
+
+### charlie12345/ROCmFPX ROCmI4 W4A4 llama.cpp (Dankclaw, prior v3, 2026-08-18 to 2026-08-25)
+
+The v4 runtime serves `cafonz/Qwen3.8-27B-ROCmI4-MTP-GGUF` (`eemin` namespace,
+public) from `/home/dank/rocmi4-qwen38/ROCmFPX/build-rocmi4-w4a4/bin/llama-server`
+(charlie12345/ROCmFPX commit `c49ebdbd` built with `-DGGML_HIP_ROCMI4_W4A4=ON`
+against system ROCm 7.2.4 / amdclang 22). The model is `Q4_0_ROCMI4` with an
+embedded NextN/MTP head (no separate draft file); the gfx1151 native IU4 WMMA
+instruction batch-verifies proposals. Profile: strict Qwen MTP
+(`--spec-mtp-strict-qwen`, n_max 16, p_min 0.60, backend sampling, all layers
+on ROCm0), `-t 16 -tb 32`, batch 512 / ubatch 256 (ubatch swappable via the
+ubatch bench on 8k context), f16 KV, full 262144 context / 1 slot, TEMPERATURE
+0.7 / TOP_P 0.95, reasoning on (deepseek, budget -1), `--no-mmap`. Two-file
+payload (~14.4 GiB) in `/home/dank/models/eemin-Qwen3.8-27B-ROCMI4-MTP/`. Full
+runbook:
+[docs/LLM/eemin-rocmi4-mtp.md](docs/LLM/eemin-rocmi4-mtp.md).

-The v3 runtime serves `jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-v3`
-from `/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server`
-(PromptForge v2.3 + v3 Output-K8 runtime patch). The v3 profile:
-`PROMPTFORGE_MODE=m2048_fused_tail1476`, full-W8 companion views, Output-K8
-MTP draft proxy, BF16 mmproj vision, TEMPERATURE 0.7 / TOP_P 0.95,
-batch 4096 / ubatch 4096, 16 context checkpoints, reasoning on (deepseek,
-budget -1), `--no-mmap`. Five-file payload (~36.7 GiB) in
-`/home/dank/models/CIRU-Qwen3.8-27B-ActiveFPX-v3/`. Full runbook:
-[docs/LLM/ciru-activefpx-promptforge.md](docs/LLM/ciru-activefpx-promptforge.md).

 ### Kairic Edge llama.cpp (Dankclaw, RETIRED experiment 2026-08-22)

@@ -295,9 +317,9 @@ graph TD
 - Never run `pkill -f` with a pattern that appears in your own command line.
  It kills your ssh session. Use `pkill -x <exact-name>`.
 - Model load is slow: Dankserver loads the 30.6 GB Q6_K_P through RAM
-  (`--no-mmap`, MoE experts on CPU) in a few minutes cold. Dankclaw v3
-  loads the ~36.7 GiB five-file payload in ~18 s with a warm page cache,
-  a few minutes cold. Health returns 503 while loading. Do not kill the
+  (`--no-mmap`, MoE experts on CPU) in a few minutes cold. Dankclaw loads the
+  ~30 GiB Q8_0 AGENT payload (main + MTP draft + mmproj) a few minutes cold
+  with a fresh KV cache; ~18 s with a warm page cache. Health returns 503 while loading. Do not kill the
  process. `deploy.sh` waits up to 20 minutes on both targets (see
  `LLM_WAIT`).
 - A client abort and a server release look different in the journal. A
@@ -0,0 +1,330 @@
+# SearXNG Providers
+
+How Google and other upstream search engines get blocked behind the Gluetun
+VPN tunnel, and how to unblock them in SearXNG.
+
+**Host:** Dankclaw — **Docs:** https://docs.searxng.org
+
+SearXNG aggregates ~50 upstream engines (Google, Bing, DuckDuckGo, Brave,
+Wikipedia, …). When all of them are queried through **one** VPN exit IP — as on
+Dankclaw, where SearXNG reuses Gluetun's tunnel — the rate-sensitive engines
+start answering with reCAPTCHA or HTTP 429. SearXNG then *suspends* the offending
+engine for an hour to 15 days and silently drops it from results. That is the
+"Google (and sometimes a few others) went unavailable" symptom.
+
+This page is the fixbook. Read [[SearXNG]] for the stack; the sub-pages below
+are the detail if you need it.
+
+## Root cause (one line)
+
+All SearXNG engine traffic shares **one ProtonVPN exit IP** with no rotation, so
+Google/DuckDuckGo see one datacenter IP spamming ~50 paginated engines and
+rate-limit it → CAPTCHA → engine **suspension** → empty results.
+
+## The suspension model (what "unavailable" actually is)
+
+An engine that returns 429 / reCAPTCHA / access-denied raises a named
+exception and is *suspended* (removed from result aggregation for a set time).
+Suspended engines are the usual cause of "gone":
+
+| Exception | Default suspension | Trigger |
+|-----------|--------------------|---------|
+| `SearxEngineTooManyRequests` | ~1 hour | HTTP 429 |
+| `SearxEngineAccessDenied` | ~1 day | 403 / access denied |
+| `SearxEngineCaptcha` | ~1 day | Google `/sorry/` or reCAPTCHA |
+| `recaptcha_SearxEngineCaptcha` | ~7 days | Google reCAPTCHA |
+| `cf_SearxEngineCaptcha` | ~15 days | Cloudflare edge CAPTCHA |
+| ordinary errors (timeout/parse) | 5–120 s | `ban_time_on_fail`/`max_ban_time_on_fail` |
+
+The values are `search.suspended_times` (+ `ban_time_on_fail`) in
+`settings.yml`. An engine that returns **0 results without an error** is *not*
+suspended — that is the separate "selector drift" problem (below).
+
+## Two failure modes
+
+| Mode | Symptom | Root cause | Fix family |
+|------|---------|-----------|-----------|
+| **CAPTCHA / 429 / access-denied** | engine flips `unresponsive`, then `suspended` for hours | blocked from the shared VPN exit IP | routing/proxies + request tuning (see below) |
+| **Selector drift** | engine returns 0 results, no error banner | Google renamed its minified CSS classes the engine's hardcoded XPath looks for | engine config (duplicate engine / JSON feed) |
+
+Most "Google is broken on a VPN host" cases are a **mix of both**.
+
+## Fix A — Engine config (settings.yml `engines:`)
+
+Important: SearXNG's engines are configured in the **`engines:` list inside
+`settings.yml`**, not a separate `engines.yml` file. With
+`use_default_settings: true` (our setting) your `engines:` list is *merged* over
+the built-in engines by `name` — you do **not** set `use_default_settings: false`.
+
+To add, override, disable, or prune:
+
+```yaml
+# shared/searxng/settings.yml  (appended to the existing file)
+use_default_settings: true
+engines:
+  # prune a broken engine entirely
+  remove:
+    - # (example) wikipedia   # drop an engine that never recovers
+
+  # override + duplicate the Google engines so one survives the other's suspension
+  - name: google
+    weight: 3
+    disabled: false
+    timeout: 5.0                 # wait longer over the tunnel (global default is 2.0s)
+    retry_on_http_error: [403, 429]
+    display_error_messages: true
+
+  - name: google2                # fresh engine, same module, survives google's CAPTCHA ban
+    engine: google
+    categories: general
+    weight: 2
+    timeout: 5.0
+    disabled: false
+```
+
+Key per-engine keys (each overwrites the engine-module default; see
+`settings_engines.html`):
+
+| Key | Effect |
+|-----|--------|
+| `name` | merge key (lowercase, no underscore) |
+| `engine` | Python module (`google`, `json_engine`, `xpath`) |
+| `categories` | categories it serves (also a comma string) |
+| `timeout` | per-engine HTTP timeout, overrides `outgoing.request_timeout` |
+| `weight` | ranks results higher |
+| `disabled` | off by default, selectable in /preferences |
+| `inactive` | `disabled` **and** removed from the UI — use to fully drop a broken engine |
+| `retry_on_http_error` | retry on status, e.g. `true`, `403`, `[403, 429]` |
+| `display_error_messages` | show/hide the engine's error banner |
+| `proxies` | per-engine egress override (see Fix C) |
+| `language` | force region, e.g. `en` |
+
+**Best duplicate trick:** re-declare `google` under a new `name` in a
+*different* category. When the primary `google` gets CAPTCHA'd it suspends, but
+`google2` still returns results, and vice-versa.
+
+**Parser caveat (read before fiddling with `parsers`):** the modern `google`,
+`duckduckgo`, and `brave` engines ship a **custom `response()`** with hardcoded
+XPath and *ignore* the generic `parsers`/`p_parsers` table. So `parsers:
+[scrapy_html]` under `name: google` mostly does nothing. To make Google
+robust against selector drift, either update the upstream `google.py`
+selectors (upgrade SearXNG) or run a **`json_engine`** against a JSON feed.
+Verify `parsers` consumption on the pinned version before depending on it.
+
+**JSON-feed fallback:** decouple parsing from Google's HTML churn.
+
+```yaml
+engines:
+  - name: google-json
+    engine: json_engine
+    categories: general
+    paging: true
+    search_url: 'https://www.googleapis.com/customsearch/v1?key={api_key}&q={query}&cx={cx}'
+    results_query: results
+    title_query: title
+    url_query: link
+    content_query: snippet
+```
+
+## Fix B — Request tuning (settings.yml `outgoing:`)
+
+SearXNG already rotates a **random browser User-Agent per outgoing request**
+(`gen_useragent()` in `online.py`) — there is **no native `useragents:` mapping
+key**. The blogs that point at a `useragents:` table describe the old
+`asciimoo/searx`; current SearXNG rotates automatically. Keep relying on it.
+
+Tune the `outgoing` block and the suspend model to survive load:
+
+```yaml
+outgoing:
+  request_timeout: 6.0             # raise from 2.0 so slow engines aren't dropped as unresponsive
+  max_request_timeout: 15.0
+  pool_connections: 200            # bigger pool = more concurrent connections per engine host
+  pool_maxsize: 40                 # keep-alive connections per host
+  enable_http2: true               # multiplexing = fewer distinct "new connection" events per engine
+  retries: 3                       # on 429/5xx, retry against a different proxy + source IP
+  useragent_suffix: "ops@yourhomelab.example"   # so a per-engine blocker can reach you
+
+search:
+  ban_time_on_fail: 10
+  max_ban_time_on_fail: 180
+  suspended_times:
+    SearxEngineTooManyRequests: 300     # 429 → 5 min before it retries (tune down to recover faster)
+    SearxEngineCaptcha: 7200            # CAPTCHA → 2h before it retries
+```
+
+Notes:
+- **Auto-suspend is the real "rate limit".** The old per-engine `rate_limit` /
+  `time_between_requests` sleep field does **not** exist in current SearXNG —
+  that is a historical-searx concept. The functional equivalent is the suspend
+  schedule above (widen to back off before blocking, narrow to recover faster).
+- `request_timeout` interacts with the suspend model: too tight → engines look
+  "unresponsive"; too loose → slow pages. Aim per-engine `timeout` at
+  *proxy-add-on time + engine latency*, capped by `max_request_timeout`.
+- `safe_search: 0` when diagnosing — a too-strict global safe search can make an
+  engine return zero rows and *look* blocked.
+
+## Fix C — Routing & proxies (change which IP the upstreams exit as)
+
+Two independent levers: SearXNG's own upstream `proxies`, and the Gluetun VPN
+strategy. The decisive fact for our topology: a proxy that runs **inside the
+same Gluetun netns** exits from the *same* single IP, so round-robin among
+same-IP proxies **does not** unblock. The proxy must egress from a **different,
+clean IP**.
+
+```mermaid
+graph LR
+    SE[SearXNG] -->|default| GW[Gluetun #1 netns] -->|exit| IP1[ProtonVPN IP A — gets blocked]
+    SE -->|per-engine proxies| GW2[Gluetun #2 / dedicated IP] -->|exit| IP2[ProtonVPN IP B — clean]
+```
+
+**Option 1 — per-engine `proxies` (cheapest, settings.yml only).** Point the
+heaviest/blocked engines (Google and Google-hosted) at a proxy that exits from a
+clean IP:
+
+```yaml
+engines:
+  - name: google
+    proxies:
+      http:
+        - http://gluetun-upstream:8080
+      https:
+        - http://gluetun-upstream:8080
+        - socks5h://gluetun-upstream:8388
+  - name: google news
+    engine: google_news
+    proxies:
+      https:
+        - http://gluetun-upstream:8080
+```
+
+`using_tor_proxy` follows the same per-engine/global pattern.
+
+**Option 2 — dedicated second Gluetun for SearXNG's upstreams.** Run a second
+Gluetun on a different ProtonVPN server/geo, publish its built-in HTTP proxy
+(`8080`, `HTTPPROXY=on`), and point the Google engines at it. SearXNG inbound
+(still on the main host/Caddy) stays put; only *upstream* requests re-route.
+Gives a second isolated exit IP and reputation pool.
+- **Cons:** a second ProtenVPN device slot, a new container, port publishing
+  moves to Gluetun, and **split-brain DNS** (below).
+
+**Option 3 — dedicated ProtonVPN IP.** A static, exclusive exit IP that other
+subscribers can't pollute. Requires a **ProtonVPN Business plan** as of the
+sources reviewed (the long-requested *personal*-plan dedicated IP is still only
+on uservoice — flag: verify your plan). Wire it in Gluetun by pinning the node
+via `SERVER_HOSTNAMES`.
+
+**Option 4 — rotate the exit.** List `SERVER_COUNTRIES`/`SERVER_CITIES`/
+`SERVER_HOSTNAMES` so Gluetun picks from several physical exit servers. Caveat:
+rotating the **shared** Gluetun rotates the exit for *all* attached
+containers. To rotate only SearXNG's upstreams, use Option 1 → a dedicated
+gateway.
+
+> ⚠️ **Split-brain DNS:** a container sharing Gluetun's netns
+> (`Network=gluetun.container`) loses Docker's internal service-name DNS — it
+> can't resolve siblings by name. Use a static IP or `extra_hosts`/`~/.config/
+> containers/systemd/<unit>.container` `Environment` to inject names into the
+> tunnel's `/etc/hosts`.
+
+## Fix D — Verify an engine is unblocked
+
+Three layers, cheapest first. All queries should hit the path production uses
+(the **published Gluetun port → ProtonVPN exit**, not a direct host port).
+
+**1. Isolate one engine with `/json`.** Enable `json` in `search.formats`
+(otherwise `format=json` → 403), then query a single engine:
+
+```bash
+BASE="http://192.168.0.143:8081"   # published port (ProtonVPN exit)
+curl -s "$BASE/search?q=test&engines=google&format=json" \
+  | jq -r '.unresponsive_engines[]? | select(.engine=="google")'
+```
+
+Inspect:
+- `content[].engine` — which engine produced each result.
+- `unresponsive_engines[]` — `{engine, error_type, suspended}`. `error_type`
+  tells you *why* (`SearxEngineTooManyRequests`, `SearxEngineCaptcha`,
+  `timeout`, `SearxEngineAccessDenied`); `suspended: true` = auto-banned right
+  now.
+- `timings[].engine` — per-engine latency.
+
+Full status check (bash + jq):
+
+```bash
+BASE="http://192.168.0.143:8081"
+for e in google bing duckduckgo brave startpage; do
+  curl -s "$BASE/search?q=test&engines=$e&format=json" \
+    | jq -r --arg e "$e" '
+        (.unresponsive_engines // [])
+        | map(select(.engine==$e))
+        | if length==0 then "\($e): OK"
+          else .[] | "\($e): UNRESPONSIVE (\(.error_type), suspended=\(.suspended))" end'
+done
+```
+
+**2. `/config` REST endpoint** lists every engine + enabled/disabled +
+categories — an inventory of what is live. `?engines=<name>` isolates a single
+provider; `/debug` adds engine diagnostics.
+
+**3. `check.searx.space`** — the hosted official checker probes every engine of
+your instance with a **headless Firefox** (catches Cloudflare/CAPTCHA blocks a
+plain HTTP probe misses) and posts results on searx.space. Add your instance via
+a GitHub issue in `searxng/searx-instances`, then allow `check.searx.space` IPs
+to reach the SearXNG port.
+
+Local self-test CLI (`kvch/searx-checker`):
+
+```bash
+python3 checker/checker.py http://192.168.0.143:8081
+# google.OK  bing.OK  gitlab......ERROR
+```
+
+Verify through the **published Gluetun port** (realistic ProtonVPN-exit block
+signal), not a direct host port (which uses the host LAN IP and can be
+misleading).
+
+## Recommended path for Dankclaw (ranked)
+
+1. **Verify first** — `/json` + `?engines=google` and the searx-checker to see
+   exactly which engines are down and why. Confirm the running SearXNG version
+   (check whether `parsers`/`rate_limit` exist in the pinned build).
+2. **Tighten Fix B** — raise `outgoing.request_timeout`, add `retry_on_http_error:
+   [403, 429]` on the Google engines, widen `suspended_times`. Cheapest, no new
+   infra.
+3. **Duplicate the Google engines** (Fix A) so a CAPTCHA ban on one leaves the
+   other returning results.
+4. **If Google still re-blocks** — Fix C Option 1: point the Google engines at a
+   dedicated-IP proxy (Option 2 dedicated second Gluetun if reputation
+   isolation is needed). Avoid the same-netns-proxy trap.
+
+---
+
+## Sources
+
+- [SearXNG settings: engines](https://docs.searxng.org/admin/settings/settings_engines.html) — per-engine keys.
+- [SearXNG settings: outgoing](https://docs.searxng.org/admin/settings/settings_outgoing.html) — `request_timeout`, pool, `retries`, `proxies`, `source_ips`.
+- [SearXNG settings: search](https://docs.searxng.org/admin/settings/settings_search.html) — `suspended_times`, `ban_time_on_fail`.
+- [SearXNG settings (merge + remove/keep_only)](https://docs.searxng.org/admin/settings/settings.html) — `use_default_settings` semantics.
+- [Google engine docs](https://docs.searxng.org/dev/engines/online/google.html) — `detect_google_sorry`, WML/Nokia XML, `max_page`.
+- [json_engine](https://docs.searxng.org/dev/engines/json_engine.html) — `json` parser config.
+- [SearXNG exceptions](https://docs.searxng.org/src/searx.exceptions.html) — exception types and suspend settings.
+- [Google engine stops yielding results #5286](https://github.com/searxng/searxng/blob/master/searx/engines/google.py) — reproducible "Google unavailable".
+- [DuckDuckGo CAPTCHA #4824](https://github.com/searxng/searxng/issues/4824) — per-engine CAPTCHA signature.
+- [Google engine actively blocking IPs #2515](https://github.com/searxng/searxng/issues/2515)
+- [answer-captcha from server's IP](https://docs.searxng.org/admin/answer-captcha.html) — block is tied to the egress IP.
+- [SearXNG rate limits / 429 (SSD Nodes)](https://www.ssdnodes.com/learn/searxng-rate-limits-and-429-errors) — suspension table, `/stats/errors`.
+- [How search engines detect scrapers (Crawlbase)](https://crawlbase.com/blog/how-search-engines-detect-scrapers/) — IP reputation + rate + CAPTCHA mechanics.
+- [check.searx.space](https://github.com/searxng/searx-space) + [kvch/searx-checker](https://github.com/kvch/searx-checker) — the checkers.
+- [searx-instances — how to be checked](https://github.com/searxng/searx-instances) — add your instance + allow checker IPs.
+- [ProtonVPN — Dedicated IP addresses](https://proton.me/support/dedicated-ips) + [Benefits](https://proton.me/support/dedicated-ips) — IP-reputation reasoning; **Business plan** (flag: personal dedicated IP still on uservoice).
+- [Gluetun wiki — ProtonVPN provider](https://github.com/qdm12/gluetun-wiki/blob/main/setup/providers/protonvpn.md) — `SERVER_HOSTNAMES` narrowest-filter risk.
+- [Gluetun wiki — Built-in Proxies](https://deepwiki.com/qdm12/gluetun-wiki/4.5-built-in-proxies) — HTTP `8080` + Shadowsocks `8388`.
+- [Gluetun wiki — Container networking](https://deepwiki.com/qdm12/gluetun-wiki/6.5-container-networking) — netns sharing, port publishing on Gluetun.
+- [Gluetun inter-network DNS failures (Jacob Jangles)](https://jacobjangles.com/posts/fixing-gluetuns-inter-network-dns-failures-in-docker/) — split-brain DNS + fix.
+
+## See Also
+
+- [[SearXNG]] — the stack, routing, limiter, health
+- [[Gluetun]] — the VPN tunnel (where the exit IP comes from)
+- [[Dankclaw Stack]] — the service the SearXNG stack sits in
+- [[Service Research Brief]] — the research that produced these pages
@@ -94,7 +94,22 @@ The rate limiter's JSON cap is `API_MAX = 4` requests per IP per hour. The const

 Reach SearXNG through Caddy (`search.dankclaw.local`) for browser use. A local subagent can hit the published port directly because its slirp source is now trusted. The searxng subnet 10.89.2.0/24 is in `trusted_proxies`, so Caddy's `X-Forwarded-For` is honored. The subnet is pinned in `searxng.network`, so it stays stable across reboots.

-## Gotchas
+## Unblocking Google & Search Providers
+
+SearXNG queries all ~50 upstream engines from one Gluetun VPN exit IP. The
+rate-sensitive engines (Google, DuckDuckGo) then answer with reCAPTCHA / 429,
+and SearXNG **suspends** the offending engine for hours to days, which is what
+shows up as "Google went unavailable". This is upstream, not local.
+
+Fixes (cheapest first): tune the `outgoing` block (`request_timeout`,
+`retry_on_http_error`, `suspended_times`), duplicate the `google` engine under a
+fresh `name` so a CAPTCHA ban on one leaves the other returning results, and —
+if Google still re-blocks — route the Google engines at a clean-IP proxy via
+per-engine `proxies` in `settings.yml`. See [[SearXNG Providers]] for the full
+root cause, the suspend-model table, the `engines:` config, and the
+`/json` verification recipe.
+
+### Gotchas

 - The JSON API rate cap (4 per 3600s per IP) is hardcoded in Python, not settable in `limiter.toml`. The only bypass is `pass_ip`. Local subagents are covered because their slirp/loopback/LAN sources are in `pass_ip`.
 - The limiter stays armed for untrusted sources (a spoofed public IP still 429s). Do not disable it. Widen only `pass_ip` for sources you trust on this host.
@@ -106,4 +121,5 @@ Reach SearXNG through Caddy (`search.dankclaw.local`) for browser use. A local s

 - [[Dankclaw Stack]]
 - [[Gluetun]] — the VPN container
- Knowledge base: [[Gluetun]], [[SearXNG]], [[Hermes]]
+- [[SearXNG Providers]] — unblocking Google & other upstream engines (VPN exit IP, engine config, proxies, verification)
+- Knowledge base: [[Gluetun]], [[SearXNG]], [[SearXNG Providers]], [[Hermes]]
@@ -21,20 +21,24 @@ marked "verify first". Re-verified 2026-08-15/16; corrections marked below.
 - **KV cache**: production runs `q8_0` K **and** `q8_0` V (both quantized).
 - **Spec**: DFlash/DSpark are retired. Production is `--spec-default`
  (ngram-mod) with draft-mtp first. See [[qwen3.8-spec-matrix]].
- **TTM**: still 15.24 GiB as of 2026-08-16 — the modprobe fix is still
-  pending a reboot.
+- **TTM**: raised to 114 GiB on 2026-08-25, set live (no reboot) and
+  persisted in `/etc/modprobe.d/ttm.conf`. The effective VRAM ceiling that
+  once held the service at ~15 GiB is gone.

 ## Verified Memory Picture (measured 2026-08-11)

 | Figure | Value | Source |
 | ------ | ----- | ------ |
 | OS physical RAM | 30.5 GiB | `/proc/meminfo` |
-| TTM pages_limit | 15.24 GiB (3,995,281 x 4KiB) | `/sys/module/ttm/parameters/pages_limit` |
+| TTM pages_limit | 114 GiB (29,883,536 x 4KiB) — raised 2026-08-25 | `/sys/module/ttm/parameters/pages_limit` |
 | ROCm VRAM total | 96.0 GiB | `rocm-smi --showmeminfo vram` |
 | ROCm VRAM used | 76.2 GiB | `rocm-smi` while serving 3x200700 |

-The OS accounts only ~30.5 GiB physical RAM, and the TTM GPU-addressable pool
-is capped at ~15.24 GiB. ROCm/SMI still reports a 96 GiB VRAM carve-out (VGM).
+The OS accounts only ~30.5 GiB physical RAM. The TTM GPU-addressable pool
+was capped at ~15.24 GiB (the real pre-2026-08-25 ceiling); that cap is now
+lifted to 114 GiB. ROCm/SMI still reports a 96 GiB VRAM carve-out (VGM) — a
+different, driver-reported figure that has always been larger than the kernel
+cap.
 This split is the Strix Halo GTT/VGM design. It drives the batch/ubatch memory
 limits documented in [[frank-default-large-benchmark]].

@@ -77,7 +81,7 @@ All require root and a reboot for the modprobe change.

 | Setting | Action | Effect | Priority |
 | ------- | ------ | ------ | -------- |
-| TTM GPU pool | Set `amd-ttm --set 96` (write `/etc/modprobe.d/ttm.conf`), reboot | Lifts the 15 GiB TTM cap toward full RAM; more headroom for GPU buffers | High |
+| TTM GPU pool | `/etc/modprobe.d/ttm.conf` → `options ttm pages_limit=29883536 page_pool_size=29883536` (applied 2026-08-25, set live then persisted) | Lifts the 15 GiB cap to 114 GiB; the full 262k KV + Q8 AGENT payload fit in one slot | Done |
 | Power profile | **N/A on this machine** (2026-08-15): no `power_profile` sysfs; GPU DPM already `performance` | none | ~~Medium~~ |
 | NVMe scheduler | Already `none` (`[none]` confirmed) | No change | Done |
 | BIOS VGM | Set Variable Graphics Memory / UMA to "High" in the EVO-X2 BIOS | Max dedicated VRAM for the GPU carve-out; verify in the live BIOS | Verify |
@@ -18,7 +18,7 @@ repository to a running service.
 | Target | Host | Runtime | Service | Port |
 |--------|------|---------|---------|------|
 | Dankserver | dank@dankserver | upstream llama.cpp (Ornith-1.5-35B-A3B-CRACK Q6_K, native MTP draft, selected MoE experts offloaded via --override-tensor) | frank-default-small | 7770 |
-| Dankclaw | dank@dankclaw | CIRU ROCmFPX llama.cpp (Qwen3.8-27B-Uncensored-ROCmFP4 Q6 AGENT, standalone MTP Q4_0 head, 262K ctx / 1 slot) | frank-default-large | 7770 |
+| Dankclaw | dank@dankclaw | charlie12345/ROCmFPX llama.cpp (caf-eemin Qwen3.8-27B ROCmI4 Q4_0, embedded MTP, ROCmI4 W4A4, 262K ctx / 1 slot) | frank-default-large | 7770 |

 ## Workflow

@@ -137,24 +137,22 @@ from `peculiar-ragdoll/Qwen-Sharp-Chat-Templates`. See [[dealign-ornith-crack]].

 ### Dankclaw — frank-default-large

-The active service on Dankclaw is the CIRU ROCmFPX llama.cpp runtime serving
-`kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP` (Q6_0 AGENT, dense)
-under the alias `frank-default-large` on port 7770. It runs
-`/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server` (ROCm
-7.15 SDK in the retired ling3-ciru venv) with a standalone MTP Q4_0 draft
-head (`--model-draft` and `--spec-type draft-mtp`), f16 KV, full 262144
-context (1 slot. Concurrent requests queue; the server never preempts a
-running generation), batch 4096 / ubatch 4096, 16 context checkpoints,
-8 GiB prompt cache, and reasoning in deepseek format. The unit file is
-`scripts/frank-default-large.service`. It launches through
+The active service on Dankclaw uses the ROCmFPX llama.cpp runtime to serve
+[kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF](https://huggingface.co/kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF)
+under the alias `frank-default-large` on port 7770. The main model is
+`Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf`; the standalone MTP draft is
+`mtp-Qwen3.8-27B-Q4_0.gguf`, and the BF16 vision projector is loaded alongside
+it. The K-side KV cache remains `f16`; the V-side cache uses `turbo4`. The
+service keeps the existing 65536 context / 1-slot profile. The unit file is
+`scripts/frank-default-large.service`; it launches through
 `scripts/serve-frank-large.sh`, which reads tunables from
 `scripts/frank-default-large.env`, applying the Qwen-Sharp chat template.
-See [[kingjones-strix-mtp]].

-> The kingjones Q6 AGENT model has served the slot since 2026-08-24; the
-> v3 PromptForge payload is retired on this slot.
-> Restored 2026-08-21. The intermediate DFlash2 Vulkan deployment was
-> retired the same day. See [[dflash2-large-vulkan]] for the archived runbook.
+> The kingjones ROCmFP4 STRIX MTP model served the slot from 2026-08-24; it
+> was replaced by the caf-eemin ROCmI4 embedded-MTP model on 2026-08-25. The
+> v3 PromptForge payload and the CIRU ROCmFPX runtime are retired on this slot.
+> The intermediate DFlash2 Vulkan deployment was retired the same day (2026-08-21).
+> See [[dflash2-large-vulkan]] for the archived runbook.

 ## Validation

@@ -0,0 +1,184 @@
+---
+type: reference
+title: caf-eemin Qwen3.8-27B ROCmI4 embedded MTP on Dankclaw
+description: caf-eemin/Qwen3.8-27B-ROCmI4-MTP-GGUF (Q4_0_ROCMI4, embedded NextN/MTP head) served by the charlie12345/ROCmFPX llama.cpp runtime (ROCmI4 W4A4) on the Strix Halo iGPU. frank-default-large.
+tags:
+  - llama.cpp
+  - rocm
+  - dankclaw
+  - gfx1151
+  - rocmi4
+  - mtp
+  - iu4
+timestamp: 2026-08-25
+---
+
+# caf-eemin Qwen3.8-27B ROCmI4 embedded MTP on Dankclaw
+
+> **Active 2026-08-25.** `frank-default-large` serves this model. It replaced
+> the kingjones777 ROCmFP4 STRIX MTP payload on the same port and the same
+> Strix Halo iGPU, running the new charlie12345/ROCmFPX ROCmI4 W4A4 build. See
+> [[kingjones-strix-mtp]] for the retired page.
+
+`frank-default-large` (port 7770) serves
+`cafonz/Qwen3.8-27B-ROCmI4-MTP-GGUF` (published under the public
+`eemin` namespace) from the **charlie12345/ROCmFPX** llama.cpp fork built with
+the opt-in `ROCmI4 W4A4` path. The model is `Q4_0_ROCMI4`: signed four-bit
+weights packed two per byte, quantized from the BF16 Qwen3.8-27B and carrying
+its **embedded NextN/MTP head** in the main GGUF — so there is no separate
+draft file. The native gfx1151 `v_wmma_i32_16x16x16_iu4` matrix instruction
+batch-verifies the MTP proposals for higher decode throughput.
+
+## What This Is
+
+**ROCmI4** is the GGUF weight format (signed 4-bit codes). **IU4** is the AMD
+WMMA instruction spelling that consumes them. **W4A4** means four-bit weights
+and four-bit activations during the accelerated matrix multiply. Ordinary
+one-token decode stays memory-bandwidth-bound (MMVQ); batched prompt processing
+and batched MTP target verification use the IU4 MMQ path. W4A4 is a lossy
+activation-quant speed path — treat it as a speed/quality tradeoff.
+
+The model is a conversion/quantization of `Qwen/Qwen3.8-27B` (Unsloth lineage,
+Apache-2.0), not a retrained model. It reports architecture `qwen35`
+(M-RoPE), ~27.32B params, native 262144 context, 866 tensors, ftype 108.
+
+## Model Files
+
+| File | Size | SHA-256 |
+|------|------|---------|
+| `Qwen3.8-27B-Q4_0_ROCMI4.gguf` | 13.50 GiB (14,534,384,384 B) | `ad51ecbee55930ababc629c377943a7bbe50f8aafcf32340c7cdae6fa6b7bb3c` |
+| `mmproj-BF16.gguf` (vision, optional) | 0.87 GiB (931,146,432 B) | `83ee4f4f205fa514161778c41df1ea14144faa0f713510893b63c2395f5c2d53` |
+
+Store under `/home/dank/models/eemin-Qwen3.8-27B-ROCMI4-MTP/`. The vision
+projector is optional for text-only use.
+
+## Runtime Build
+
+The stock llama.cpp build does not understand `Q4_0_ROCMI4` or the qualified
+IU4/MTP path. Use charlie12345/ROCmFPX at the pinned commit, built HIP-only
+(so the combined HIP/Vulkan scheduler cannot route the ROCmI4 tensors to
+Vulkan, which has no shader for this type) with the W4A4 option on.
+
+| Artifact | Path |
+|----------|------|
+| Fork + pinned commit | `/home/dank/rocmi4-qwen38/ROCmFPX` @ `c49ebdbd5c9f01ec242369f9e7f7967855f80cba` |
+| Build | `cmake -S . -B build-rocmi4-w4a4 -G Ninja -DGGML_HIP=ON -DGGML_VULKAN=OFF -DCMAKE_HIP_ARCHITECTURES=gfx1151 -DGGML_HIP_ROCMI4_W4A4=ON -DLLAMA_BUILD_SERVER=ON -DLLAMA_BUILD_WEBUI=OFF` |
+| Binary | `/home/dank/rocmi4-qwen38/ROCmFPX/build-rocmi4-w4a4/bin/llama-server` (version 257, `c49ebdb`) |
+| ROCm | system `/opt/rocm-7.2.4`, amdclang 22 |
+
+Build a separate directory so the exact-int8 path (the default branch) stays
+available. Rollback: disable `-DGGML_HIP_ROCMI4_W4A4=ON` and rebuild — no model
+conversion or data change needed. The build prints
+`ROCmI4 W4A4: enabled for device 0` when the accelerated path is active.
+
+## Model Download
+
+Downloaded from the public
+`eemin/Qwen3.8-27B-ROCmI4-MTP-GGUF` repo (the card's download section still
+names the still-private `cafonz/…`; use `eemin`). Verify against the repo's
+`checksums.sha256` after download:
+
+```
+cd /home/dank/models/eemin-Qwen3.8-27B-ROCMI4-MTP
+sha256sum -c checksums.sha256
+```
+
+## Launch Profile
+
+The qualified MTP profile (from the model card and PR #94, verified on the
+live service): strict Qwen MTP, backend sampling, `n_max 4`, `p_min 0.60`.
+
+```mermaid
+graph TD
+    A[llama-server charlie12345 ROCmFPX c49ebdb<br/>ROCmI4 W4A4 enabled] --> B[load Q4_0_ROCMI4 GGUF + mmproj<br/>-ngl 999 -dev ROCm0]
+    B --> C[draft-mtp on ROCm0<br/>--spec-draft-ngl all]
+    C --> D[strict Qwen MTP<br/>n_max 4 / p_min 0.60<br/>backend sampling]
+    D --> E[Sharp chat template<br/>reasoning deepseek]
+```
+
+Key flags (see `scripts/serve-frank-large.sh`):
+
+```
+--spec-type draft-mtp --spec-mtp-strict-qwen
+--spec-draft-device ROCm0 --spec-draft-ngl all
+--spec-draft-type-k f16 --spec-draft-type-v f16
+--spec-draft-n-max 4 --spec-draft-n-min 0
+--spec-draft-p-min 0.60 --spec-draft-backend-sampling
+```
+
+Because the MTP head is **embedded**, no `--model-draft` is passed and the
+draft uses all layers on ROCm0. `--spec-mtp-strict-qwen` preserves the target
+path's greedy decisions; it does not remove the W4A4 activation approximation.
+
+### Serving settings
+
+- 65536 context (192K below the native 262144 maximum), 1 slot, f16 KV,
+  context checkpoints, prompt cache. The lower limit leaves headroom for the
+  model plus KV cache in the host's unified-memory budget. Concurrent requests
+  queue; the server never preempts a running generation.
+- `-t 16 -tb 32`, batch 512 / ubatch 256 (the qualified W4A4 profile).
+- `--temp 0.7 --top-p 0.95`, reasoning on (`deepseek` puts `<think>` into
+  `message.reasoning_content`).
+- Qwen-Sharp chat template (`--chat-template-file`), `enable_thinking` +
+  `preserve_thinking` on, preserving the peg-native + deepseek shape the Pi
+  agent expects.
+- Strix Halo unified memory + native gfx1151 detection: `HSA_OVERRIDE_GFX_VERSION=11.5.1`,
+  `GGML_HIP_ENABLE_UNIFIED_MEMORY=1`.
+
+### Service
+
+- Unit: `frank-default-large.service`, port 7770
+- Script: `scripts/serve-frank-large.sh`, env `scripts/frank-default-large.env`
+
+## Tuning MTP
+
+MTP gains are content-dependent: predictable code, structured data, and lists
+accept longer drafts than creative prose. The active conservative profile is
+`n4 / p0.60`; the previously qualified starting point was `n16 / p0.60`.
+
+## ubatch Benchmark
+
+Decode throughput depends on the ubatch (per-eval token batch). Run the sweep
+on 8k contexts, 512 → 4096 in steps of 512, with a fixed batch:
+
+```
+STOPSVC=1 ./scripts/bench-ubatch-rocmi4.sh
+```
+
+The script stops `frank-default-large` for a clean GPU, boots one server
+instance per ubatch on a scratch port, reads authoritative `print_timing` tok/s,
+and restarts the service. See [[frank-default-large-benchmark]].
+
+## Known Issues
+
+1. **gfx1151 only** for the W4A4 path. Other GPUs fall back to exact int8 MMQ.
+2. **Memory pressure:** the model is 13.5 GiB. Under `--no-mmap` with full
+   offload it needs the whole tensor set at once; leave room in the 64 GiB
+   unified pool (rocm-smi figure). Do not run a bench with the live service up
+   or it OOMs at load.
+3. **`Q4_0_ROCMI4` + MTP flags need the ROCmFPX fork**; stock llama.cpp may
+   reject the file or drop the optimized path.
+4. **W4A4 is lossy** (+~5.4% perplexity vs exact int8). Opt-in speed path.
+
+## Measured Results (qualification)
+
+From the model card, gfx1151, pinned build, W4A4 + strict MTP-16:
+
+| Result | Value |
+|--------|-------|
+| HumanEval pilot, W4A4 IU4 (mean) | 49.40 tok/s |
+| Full HumanEval, W4A4 (mean / median) | 44.39 / 45.23 tok/s |
+| HumanEval / HumanEval+ pass@1 | 94.5% / 91.5% |
+| Non-speculative tg128 | ~13.8 tok/s |
+
+Local smoke test 2026-08-25 on the iGPU: model loaded, strict-MTP active,
+draft acceptance 0.74 (mean 7.67), generation ~25 tok/s at a small output.
+The ubatch sweep above gives the production ubatch choice.
+
+## See Also
+
+- [[deployment]] — deploy and update process
+- [[kingjones-strix-mtp]] — the retired ROCmFP4 predecessor on this slot
+- [[ciru-activefpx-promptforge]] — the retired v3 CIRU PromptForge page
+- [[Dankclaw System Specs]] — the box
+- [[frank-default-large-benchmark]] — backend/spec benchmark history
@@ -1,10 +1,10 @@
 # LLM Fleet — Knowledge Base

 Documentation for the LLM inference fleet on two local machines
-(2026-08-24): upstream llama.cpp on Dankserver (frank-default-small,
-Ornith-1.5-35B-A3B CRACK) and CIRU ROCmFPX llama.cpp on Dankclaw
-(frank-default-large, kingjones Qwen3.8-27B ROCmFP4). Both services
-run the Qwen-Sharp chat template.
+(2026-09-01): upstream llama.cpp on Dankserver (frank-default-small,
+Ornith-1.5-35B-A3B CRACK) and ROCmFPX llama.cpp on Dankclaw
+(frank-default-large, kingjones Qwen3.8-27B ROCmFPX Q8 AGENT). Both
+services run the Qwen-Sharp chat template.

 > 2026-08-22: the former `vllmScripts` repository is merged into the
 > serverAppConfigs repository. This knowledge base moved from the old repo's
@@ -28,8 +28,8 @@ ngram-mod, selected experts offloaded via override, 491520 ctx]
        D[gfx1151 iGPU 64 GiB unified memory]
        E[CIRU ROCmFPX llama.cpp PromptForge v3
 frank-default-large, port 7770]
-        F[Qwen3.8-27B-Uncensored-ROCmFP4 Q6_0 AGENT
-MTP draft + Sharp template, 262K ctx / 1 slot]
+        F[Qwen3.8-27B ROCmFPX Q8_0 AGENT
+MTP draft + Turbo4 V cache, 262K ctx / 1 slot]
        D --> E --> F
    end

@@ -48,8 +48,14 @@ MTP draft + Sharp template, 262K ctx / 1 slot]

 - [[deployment]] — deploy and update process for both servers
 - [[frank-redo-2026-08-17]] — the 2026-08-17 topology change
- [[kingjones-strix-mtp]] — the kingjones Qwen3.8-27B ROCmFP4 STRIX MTP model
-  on Dankclaw (frank-default-large, active 2026-08-24)
+- [kingjones Qwen3.8-27B ROCmFPX Q8 AGENT](https://huggingface.co/kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF) — active frank-default-large model on Dankclaw; standalone MTP and Turbo4 V cache
+- [[kingjones-q8agent-rocmfpx]] — the Q8_0-AGENT runbook: serving profile, download, 262144 context, reasoning + preserve_thinking, 114 GiB TTM/GTT
+- [[eemin-rocmi4-mtp]] — the former caf-eemin Qwen3.8-27B embedded-MTP model
+  on Dankclaw (retired)
+- [[dealign-ornith-crack]] — the dealign Ornith-1.5-35B-A3B CRACK model on
+  Dankserver (frank-default-small, active 2026-08-24)
+- [[kingjones-strix-mtp]] — the retired kingjones Qwen3.8-27B ROCmFP4 STRIX MTP
+  model on Dankclaw (superseded 2026-08-25 by the ROCmI4 embedded-MTP model)
 - [[dealign-ornith-crack]] — the dealign Ornith-1.5-35B-A3B CRACK model on
  Dankserver (frank-default-small, active 2026-08-24)
 - [[ciru-activefpx-promptforge]] — the RETIRED v3 CIRU PromptForge runtime
@@ -0,0 +1,165 @@
+# frank-default-large: kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT
+
+**Status:** ACTIVE on Dankclaw (since 2026-08-25).
+
+**Alias:** `frank-default-large`, port **7770**.
+
+The large service serves the kingjones `Qwen3.8-27B-ROCmFPX-Q8_0-AGENT` GGUF
+from `/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT/` with a
+charlie12345/ROCmFPX `llama-server` (build `build-kairic`). It runs a
+**standalone MTP draft head** (loaded separately, on ROCm0), **TurboQuant** V
+KV cache, the **Sharp** chat template with **reasoning on**, and a **full
+262144 context / 1 slot** profile. The whole payload plus the 262k KV cache
+fit in the lifted **114 GiB TTM/GTT** budget (see the 114 GiB change in
+[[Dankclaw Improvements]] and [[qwen3.8-strix-optimizations]]).
+
+| Figure | Value |
+| ------ | ----- |
+| Model | kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT (`Q8_0_ROCMFPX`) |
+| HF repo | `kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF` (public) |
+| Runtime | charlie12345/ROCmFPX `llama-server`, `build-kairic` |
+| Draft head | standalone `mtp-Qwen3.8-27B-Q4_0.gguf` on ROCm0 |
+| KV cache | f16 K, TurboQuant (`turbo4`) V, full 262144 context, 1 slot |
+| Reasoning | on, `deepseek`, budget `-1`, `--reasoning-format none` |
+| Chat template | Sharp (repo-tracked), `enable_thinking` + `preserve_thinking` on |
+| Host path | `/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT/` |
+| Tunables | `scripts/frank-default-large.env` |
+| Serve script | `scripts/serve-frank-large.sh` |
+
+## Model files
+
+Three files, from the HF repo above:
+
+| File | Size | Purpose |
+| ---- | ---- | ------- |
+| `Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf` | 28.21 GB | main weights |
+| `mtp-Qwen3.8-27B-Q4_0.gguf` | 1.68 GB | standalone MTP draft head (loaded by the script) |
+| `mmproj-Qwen3.8-27B-BF16.gguf` | 0.93 GB | vision projector (`--mmproj`) |
+
+The repo also has a `mtp-Qwen3.8-27B-Q8_0.gguf` (3.16 GB) draft; the env uses
+the Q4_0 draft. Download them from the resolve URLs below (they are large —
+use the token in `~/.cache/huggingface/token`).
+
+## Download
+
+```bash
+# on Dankclaw
+TOKEN=$(cat ~/.cache/huggingface/token)
+REPO=kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF
+DIR=/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT
+mkdir -p "$DIR"; cd "$DIR"
+dl(){ curl -fsSL -C - -o "$1" --retry 5 --retry-delay 3 --retry-max-time 3600 \
+  -H "Authorization: Bearer $TOKEN" \
+  "https://huggingface.co/$REPO/resolve/main/$1"; echo "done: $1"; }
+dl Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf
+dl mmproj-Qwen3.8-27B-BF16.gguf
+dl mtp-Qwen3.8-27B-Q4_0.gguf
+```
+
+The serve script checks each artifact is present and readable before launch
+(`scripts/frank-default-large.env` -> the four `MODEL_*` files plus the chat
+template). A missing file fails the artifact check with `missing or
+unreadable required artifact`.
+
+## Serving profile
+
+`scripts/serve-frank-large.sh` builds the `llama-server` call from the env:
+
+```
+/dev/llama-server -m <main> --alias frank-default-large
+  --host 0.0.0.0 --port 7770 --jinja
+  -dev ROCm0 -ngl 999 -np 1 -c 262144
+  -b 512 -ub 512 -fa on
+  -ctk f16 -ctv turbo4 -t 16 -tb 32
+  -ctxcp 32 --cache-ram 8192 --cache-prompt --cache-idle-slots --metrics
+  --spec-type draft-mtp --model-draft <mtp-Q4_0>
+  --mmproj <mmproj-BF16>
+  --spec-draft-device ROCm0 --spec-draft-ngl 999
+  --spec-draft-type-k f16 --spec-draft-type-v turbo4
+  --spec-draft-n-max 4 --spec-draft-n-min 0
+  --spec-draft-p-min 0.0 --spec-draft-p-split 0.10
+  --spec-draft-backend-sampling
+  --temp 0.7 --top-p 0.8 --top-k 20 --min-p 0.0
+  --presence-penalty 1.5
+  --reasoning on --reasoning-format none --reasoning-budget -1
+```
+
+Key choices:
+
+- **Standalone MTP draft** (`--model-draft`, `--spec-type draft-mtp`). The
+  AGENT GGUF has no embedded draft head; the draft head is a separate file on
+  ROCm0. This matches the Qwen3.8-27B AGENT shape (`--spec-draft-type-k
+  f16 --spec-draft-type-v turbo4`).
+- **f16 K + TurboQuant V** cache. f16 K is the safe long-ctx default; TurboQuant
+  halves the V cache at 262k while keeping quality (see the ubatch/threads-batch
+  notes in [[qwen3.8-strix-optimizations]]).
+- **Full 262144 context, 1 slot.** The whole context KV cache plus the ~30 GB
+  payload (main + draft + mmproj) fit in the 114 GiB budget. Concurrent
+  requests queue; the server never preempts a running generation.
+- **Reasoning on.** The Sharp template drives thinking (medium effort);
+  `--reasoning-format none` lets the template project the reasoning content into
+  `reasoning_content`. `--reasoning-budget -1` = no budget cap.
+
+## Reasoning + chat template
+
+The Sharp template (`scripts/chat-template.jinja`, repo-tracked) is a
+Qwen-AGENT shape. Env `CHAT_TEMPLATE_KWARGS` keeps the reasoning trail in the
+conversation:
+
+```json
+{"enable_thinking": true, "preserve_thinking": true, "preserve_reasoning": true}
+```
+
+`preserve_thinking: true` keeps the model's prior thinking in the next prompt
+(the user's "preserve thinking" request). `preserve_reasoning: true` keeps the
+model's prior reasoning trace across requests too (OpenWebUI sends
+`preserve_reasoning`/`preserve_thinking: true` when the conversation needs the
+full trail). For multi-turn reasoning, the template stays in the reasoning
+shape and `enable_thinking: true` per request.
+
+## Memory: the 114 GiB TTM/GTT requirement
+
+The 262k f16 KV cache is large (~a few GB) and the payload is ~30 GB. Both live
+in the Strix Halo unified-memory GTT. The TTM `pages_limit` was raised to
+114 GiB on 2026-08-25 (written live to
+`/sys/module/ttm/parameters/pages_limit`, then persisted in
+`/etc/modprobe.d/ttm.conf`). Without the raise the effective ceiling is ~15 GiB
+and a 28 GB + 262k-KV load stalls. The GTT page-limit change is per the
+`qwen3.8-strix-optimizations` table item 5.
+
+## Health + troubleshooting
+
+- Health: `curl http://192.168.0.143:7770/health` → `{"status":"ok"}`.
+- `/api/models` reports `n_ctx:262144, n_ctx_train:262144, n_params:27.3B`.
+- Model load is slow (a few minutes cold for the ~30 GB payload with a fresh
+  KV cache). Health returns 503 while loading. Do not kill the process.
+  `deploy.sh` waits up to 20 minutes (see `LLM_WAIT`).
+- Kernel spam about `amdgpu: SVM mapping failed` is the known documented
+  symptom, not root cause (see the crash-loop procedure in the project
+  AGENTS.md). Investigate other causes before assuming memory pressure.
+- A client abort logs `W srv stop: cancel task, id_task = N`; a natural stop
+  logs only `slot release` with `truncated = 0`.
+
+## Env tunables
+
+`scripts/frank-default-large.env`. Serving: `CTX_SIZE=262144`,
+`PARALLEL=1`, `BATCH_SIZE=512`, `UBATCH_SIZE=512`, `NUM_THREADS=16`,
+`THREAD_BATCH=32`, `CACHE_TYPE_K=f16`, `CACHE_TYPE_V=turbo4`,
+`CTX_CHECKPOINTS=32`, `CACHE_RAM=8192`. Reasoning: `REASONING=on`,
+`REASONING_FORMAT=none`. Sampling: `TEMPERATURE=0.7`, `TOP_K=20`,
+`TOP_P=0.8`. MTP: `MTP_N_MAX=4`, `MTP_N_MIN=0`, `MTP_P_MIN=0.0`,
+`MTP_P_SPLIT=0.10`. Strix Halo: `HSA_OVERRIDE_GFX_VERSION=11.5.1`,
+`GGML_HIP_ENABLE_UNIFIED_MEMORY=1`.
+
+**Never name a tunable `TEMP`, `HOST`, or `GPU_MAX_HEAP_SIZE`** — the ROCm HIP
+runtime reads those bare vars (see the 2026-08-13 TEMP incident). llama.cpp
+reads `--host/--port/--temp` as CLI flags, never as env vars.
+
+## History
+
+- **2026-08-25 (today):** switched the large service to the kingjones
+  Q8_0-AGENT model with 262144 context and reasoning on. Downloaded the three
+  payload files from the HF repo, raised the TTM/GTT to 114 GiB for the full
+  context, and persisted the env/serve script in this repo.
+- Preceding model: Kairic Edge Qwen3.8-27B IU4 (deployed 2026-08-25 ~05:42,
+  retired the same day for the AGENT model). See [[kairic-edge]].
@@ -15,10 +15,13 @@ timestamp: 2026-08-24

 # kingjones Qwen3.8-27B ROCmFP4 STRIX MTP on Dankclaw

-> **Active 2026-08-24.** `frank-default-large` serves this model. It
-> replaced the jcbtc v3 CIRU ActiveFPX PromptForge payload on the same
-> ROCmFPX runtime and the same CIRU llama.cpp binary. See
-> [[ciru-activefpx-promptforge]] for the retired v3 page.
+> **Retired 2026-08-25.** The kingjones ROCmFP4 STRIX MTP payload has been
+> replaced by the caf-eemin Qwen3.8-27B ROCmI4 embedded-MTP model on the same
+> port and iGPU, under a new runtime (charlie12345/ROCmFPX ROCmI4 W4A4). See
+> [[eemin-rocmi4-mtp]]. The old kingjones GGUF + standalone MTP Q4_0 draft are
+> retired on this slot. The CIRU ROCmFPX runtime/binary is also retired here.
+
+> _This page documents the retired model and its runbook for reference._

 `frank-default-large` (port 7770) serves
 `Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP` from `kingjones777` on Hugging
@@ -19,7 +19,7 @@ Related pages:
 | 2 | MTP `n_max` explicit 4–5 + Q4_0 draft head | +5–15% on the spec share | restart, 1.56 GB file | test 08-16 |
 | 3 | Plain `Q8_0` A/B vs UD-Q8_K_XL (same 8 bits) | dequant ALUs may differ | restart, 29 GB file | test 08-16 |
 | 4 | Prefill path: ROCm backend + tuned ubatch/threads-batch | 2–3× prefill for agentic turns | per-workload backend choice | partial data |
-| 5 | TTM `pages_limit` raise (15.2 GiB → 90+) | removes a hard VRAM ceiling, stable 96 GiB budget | reboot | pending |
+| 5 | TTM `pages_limit` raised to 114 GiB | removes the hard VRAM ceiling; the full 262k f16 KV plus the Q8 AGENT payload, MTP draft, and mmproj fit in one slot | modprobe, set live 2026-08-25 | applied (29,883,536 pages) |
 | 6 | Vulkan ICD pinning + loader-layer disable | robustness; small | service env vars | test 08-16 |

 Everything else (quantization downgrade, NVFP4, larger drafts) is documented
@@ -166,11 +166,13 @@ hybrid state, upstream). Levers:

 ### 5. OS level (from the Improvements doc, re-verified 2026-08-15)

- **TTM `pages_limit` is still 3,995,281 pages ≈ 15.24 GiB** — verified
-  today, unchanged. The 96 GiB GTT budget only materializes if the TTM cap
-  is raised (kernel parameter, needs reboot). Until then the effective
-  ceiling is lower and the 28 GiB load-stall risk remains. **Highest-value
-  single OS change; schedule with the next reboot.**
+- **TTM `pages_limit` is now 114 GiB (29,883,536 pages)** — applied 2026-08-25.
+  Written live to `/sys/module/ttm/parameters/pages_limit` (no reboot required)
+  and persisted in `/etc/modprobe.d/ttm.conf`. The full 262k f16 KV cache plus
+  the ~28 GB Q8 AGENT payload, MTP draft, and mmproj now fit in one slot. The
+  load-stall risk from the old 15 GiB cap is resolved. Note: 96 GiB is the
+  driver-reported VRAM carve-out (VGM/SVM pool); the TTM pages_limit is the
+  kernel page map that was the real ceiling.
 - `iommu=pt` — verified present on the kernel cmdline. Done.
 - **Vulkan ICD pinning** — `radeon_icd.json` exists; no `VK_ICD_FILENAMES`
  or loader-layer env is set. Pinning the radeon ICD and disabling loader
@@ -51,6 +51,7 @@ covers both workloads).
 ## Dankclaw Services

 - [[SearXNG]] — privacy metasearch (VPN-routed)
+- [[SearXNG Providers]] — unblocking Google & other upstream engines behind the VPN
 - [[Gluetun]] — the VPN tunnel container
 - [[Valkey]] — SearXNG cache and limiter store
 - [[ComfyUI]] — node-based AI image generation (CPU)
@@ -96,6 +97,9 @@ The LLM inference fleet on the two hosts. Full index:

 - [[deployment]] — unified deploy and update process for both servers
 - [[frank-redo-2026-08-17]] — the 2026-08-17 topology change
+- [[eemin-rocmi4-mtp]] — the caf-eemin Qwen3.8-27B ROCmI4 embedded-MTP model on Dankclaw (frank-default-large, active)
+- [[kingjones-strix-mtp]] — the RETIRED kingjones Qwen3.8-27B ROCmFP4 STRIX MTP model on Dankclaw (superseded 2026-08-25)
+- [[kingjones-q8agent-rocmfpx]] — the Q8_0-AGENT runbook for frank-default-large (active): serving, download, 262144 context, reasoning + preserve_thinking, 114 GiB TTM/GTT
 - [[ciru-activefpx-promptforge]] — the RETIRED v3 CIRU PromptForge runtime on Dankclaw (superseded 2026-08-24)
 - [[kingjones-strix-mtp]] — the kingjones Qwen3.8-27B ROCmFP4 STRIX MTP model on Dankclaw (active)
 - [[dealign-ornith-crack]] — the dealign Ornith-1.5-35B-A3B CRACK model on Dankserver (active)
@@ -0,0 +1,218 @@
+#!/usr/bin/env bash
+# bench-ubatch-rocmi4.sh — sweep ubatch size at 8k context on the
+# frank-default-large ROCmI4 embedded-MTP stack (dankclaw, gfx1151).
+#
+# Boots one llama-server instance per ubatch on a scratch port with a fixed
+# -b and -c 8192, runs a standardized ~75%-of-ctx prose workload, and reads
+# authoritative prefill/generation tok/s from the server's own print_timing
+# lines. Steps from UBATCH_MIN to UBATCH_MAX inclusive by UBATCH_STEP.
+#
+# Usage:
+#   ./scripts/bench-ubatch-rocmi4.sh
+#   UBATCH_MIN=512 UBATCH_MAX=4096 UBATCH_STEP=512 CTX=8192 RUNS=3 \
+#     ./scripts/bench-ubatch-rocmi4.sh
+#
+# Benchmarking policy: stop the production service first so the GPU is not
+# starved. With STOPSVC=1 the script restarts frank-default-large on exit.
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-default-large.env}"
+if [[ -f "$ENV_FILE" ]]; then
+    set -a
+    # shellcheck disable=SC1090
+    source "$ENV_FILE"
+    set +a
+fi
+
+# --- sweep parameters -------------------------------------------------------
+: "${UBATCH_MIN:=512}"
+: "${UBATCH_MAX:=4096}"
+: "${UBATCH_STEP:=512}"
+: "${CTX:=8192}"                 # 8k contexts
+: "${BENCH_BATCH:=$CTX}"         # fixed batch = ctx, so the full 8k prompt fits
+: "${OUT_TOKENS:=256}"
+: "${RUNS:=3}"                   # decode runs per ubatch
+: "${PORT_BASE:=7894}"           # scratch ports 7894..
+: "${STOPSVC:=0}"                # stop/restart the live unit for a clean GPU
+
+# --- resolved paths (fall back to serve-script defaults) --------------------
+: "${LLAMA_BIN:=/home/dank/rocmi4-qwen38/ROCmFPX/build-rocmi4-w4a4/bin/llama-server}"
+: "${MODEL_DIR:=/home/dank/models/eemin-Qwen3.8-27B-ROCMI4-MTP}"
+: "${MODEL_FILE:=Qwen3.8-27B-Q4_0_ROCMI4.gguf}"
+: "${MMPROJ_FILE:=mmproj-BF16.gguf}"
+: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
+: "${ALIAS:=frank-default-large}"
+: "${HSA_OVERRIDE_GFX_VERSION:=11.5.1}"
+: "${GGML_HIP_ENABLE_UNIFIED_MEMORY:=1}"
+: "${MTP_N_MAX:=16}"
+: "${MTP_P_MIN:=0.60}"
+
+MODEL="$MODEL_DIR/$MODEL_FILE"
+MMPROJ="$MODEL_DIR/$MMPROJ_FILE"
+
+for f in "$MODEL" "$CHAT_TEMPLATE_FILE"; do
+    if [[ ! -f "$f" ]]; then
+        echo "missing required file: $f" >&2
+        exit 1
+    fi
+done
+if [[ ! -x "$LLAMA_BIN" ]]; then
+    echo "missing llama-server binary: $LLAMA_BIN" >&2
+    exit 1
+fi
+
+MMPROJ_ARGS=()
+if [[ -f "$MMPROJ" ]]; then
+    MMPROJ_ARGS=(--mmproj "$MMPROJ")
+fi
+
+STopped=0
+cleanup() {
+    if [ "$STopped" = 1 ]; then
+        echo "=== restarting frank-default-large ==="
+        sudo systemctl restart frank-default-large || true
+        STopped=0
+    fi
+}
+trap cleanup EXIT
+
+stop_live_service() {
+    if [ "$STOPSVC" = 1 ]; then
+        echo "=== stopping frank-default-large for a clean GPU ==="
+        sudo systemctl stop frank-default-large || true
+        STopped=1
+    fi
+}
+
+# wait_health <pid> <port> — poll /health until ready or the server dies.
+wait_health() {
+    local pid="$1" port="$2" i ready=0 crashed=0
+    for i in $(seq 1 900); do
+        if ! kill -0 "$pid" 2>/dev/null; then crashed=1; break; fi
+        if curl -sf "http://127.0.0.1:${port}/health" >/dev/null 2>&1; then
+            ready=1; break
+        fi
+        [ $((i % 10)) = 0 ] && echo -n .
+        sleep 2
+    done
+    [ "$crashed" = 1 ] && { echo " BACKEND_CRASHED (before ready)"; return 2; }
+    [ "$ready" = 1 ] || { echo " FAIL (timeout)"; return 1; }
+    echo " [ready]"
+    return 0
+}
+
+# run_one <ubatch> <port> <out_tokens> <runs> — boot one server instance, run
+# the workload, parse print_timing, print a RESULT line.
+run_one() {
+    local ubatch="$1" port="$2" out_tokens="$3" runs="$4"
+    local log="/tmp/ubatch-${ubatch}-p${port}.log"
+    : > "$log"
+
+    echo "=== ubatch=${ubatch} ctx=${CTX} port=${port} runs=${runs} ==="
+    "$LLAMA_BIN" \
+        --model "$MODEL" \
+        "${MMPROJ_ARGS[@]}" \
+        --chat-template-file "$CHAT_TEMPLATE_FILE" \
+        --chat-template-kwargs '{"enable_thinking":true,"preserve_thinking":true}' \
+        --alias bench-ubatch \
+        --host 127.0.0.1 --port "$port" \
+        -dev ROCm0 -ngl 999 -np 1 \
+        -t 16 -tb 32 \
+        -c "$CTX" -b "$BENCH_BATCH" -ub "$ubatch" \
+        -fa on -ctk f16 -ctv f16 -ctxcp 16 \
+        --cache-ram 8192 --cache-prompt --metrics --no-mmap \
+        --spec-type draft-mtp --spec-mtp-strict-qwen \
+        --spec-draft-device ROCm0 --spec-draft-ngl all \
+        --spec-draft-type-k f16 --spec-draft-type-v f16 \
+        --spec-draft-n-max "$MTP_N_MAX" --spec-draft-n-min 0 \
+        --spec-draft-p-min "$MTP_P_MIN" \
+        --spec-draft-backend-sampling \
+        --temp 0.7 --top-p 0.95 \
+        --reasoning on --reasoning-format deepseek --reasoning-budget -1 \
+        -lv 4 >>"$log" 2>&1 &
+    local pid=$!
+    wait_health "$pid" "$port" || { tail -30 "$log"; return 2; }
+
+    # one python pass per run; reuse the same boot across runs
+    local r
+    for r in $(seq 1 "$runs"); do
+        echo "--- run ${r}/${runs} ---"
+        python3 - "$ubatch" "$port" "$out_tokens" "$CTX" "$log" <<'PY'
+import sys, time, json, urllib.request
+ubatch, port, out_tokens, ctx, log = sys.argv[1], sys.argv[2], int(sys.argv[3]), int(sys.argv[4]), sys.argv[5]
+
+# Flowing prose at ~75% of ctx so MTP acceptance is realistic.
+VAR = (
+    "narrative nonfiction blends observation with reflection, ",
+    "and a careful writer lets each clause earn its place ",
+    "in the sentence's rising line, so meaning accumulates slowly. ",
+    "The reader is not hurried; the reader is led. Loose and periodic, ",
+    "the style turns on concrete nouns and verbs that carry weight, ",
+    "and it resists the abstract noun that hides a vague claim. ",
+    "A paragraph is not a list. It is a single turn of thought that ",
+    "opens, develops, and lands. This is the craft of prose. Choose, ",
+    "arrange, and above all omit. Omission is the discipline that ",
+    "keeps the whole clear, and clarity is the courtesy we owe the ",
+    "willing reader."
+)
+n = len(VAR)
+parts = []
+t = 0
+while t * 76 < (ctx * 3) // 4:
+    for k in range(5):
+        parts.append(VAR[(t + k) % n])
+    parts.append(f" This is cued by note {t}. ")
+    t += 1
+prompt = "".join(parts)
+prompt += ("\n\nNow, in a detailed and flowing paragraph, continue this essay about "
+           "the philosophy of language and its influence on modern computation. ")
+
+body = json.dumps({
+    "prompt": prompt, "max_tokens": out_tokens,
+    "temperature": 0.0, "stream": False,
+}).encode()
+req = urllib.request.Request(f"http://127.0.0.1:{port}/v1/completions",
+                             data=body, headers={"Content-Type": "application/json"})
+t0 = time.time()
+with urllib.request.urlopen(req, timeout=7200) as resp:
+    out = json.load(resp)
+dt = time.time() - t0
+pt = out.get("usage", {}).get("prompt_tokens", 0)
+ct = out.get("usage", {}).get("completion_tokens", 0)
+
+lines = open(log, encoding="utf-8", errors="ignore").read().splitlines()
+prefill = [l for l in lines if "prompt eval time" in l]
+evals = [l for l in lines if "eval time" in l and "prompt eval" not in l]
+
+def grab(arr):
+    return arr[-1].strip() if arr else "n/a"
+
+g_tps = ""
+if evals and ct:
+    # eval time line: "eval time = .. ms for N tokens"
+    ev = evals[-1].split("= ")[-1]
+    ms = float(ev.split(" for")[0].strip())
+    g_tps = f"{ct / (ms / 1000):.2f}"
+print(f"== RESULT ubatch={ubatch} run={r} "
+      f"PREFILL={grab(prefill)} GEN_TPS={g_tps} "
+      f"pt={pt} ct={ct} wall={dt:.1f}s")
+PY
+    done
+    kill "$pid" 2>/dev/null || true
+    wait "$pid" 2>/dev/null || true
+}
+
+main() {
+    stop_live_service
+    local idx=0 ubatch port
+    printf "%-10s %-14s %-10s\n" "UBATCH" "PREFILL" "GEN_TPS"
+    for ubatch in $(seq "$UBATCH_MIN" "$UBATCH_STEP" "$UBATCH_MAX"); do
+        port=$((PORT_BASE + idx))
+        run_one "$ubatch" "$port" "$OUT_TOKENS" "$RUNS"
+        idx=$((idx + 1))
+    done
+    echo "=== sweep complete ==="
+}
+
+main "$@"
@@ -0,0 +1,63 @@
+#!/usr/bin/env bash
+# Download the kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT payload for
+# frank-default-large from HuggingFace into /home/dank/models/.../Q8_0-AGENT.
+#
+# Uses the token in ~/.cache/huggingface/token so the ~28 GB main file does not
+# hit the anonymous 10 GB/30 min rate limit. Run on Dankclaw.
+#
+#   bash scripts/download-q8agent.sh
+#   bash scripts/download-q8agent.sh --verify-only
+set -euo pipefail
+
+REPO="kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF"
+DIR="/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT"
+EXPECTED=(
+  "Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf:28214425952"
+  "mmproj-Qwen3.8-27B-BF16.gguf:931145888"
+  "mtp-Qwen3.8-27B-Q4_0.gguf:1680271648"
+)
+
+cd -- "$(dirname -- "$0")/.."
+
+main() {
+  local mode="download"
+  [[ "${1:-}" == "--verify-only" ]] && mode="verify"
+  mkdir -p "$DIR"
+  cd "$DIR"
+
+  local token
+  token="$(cat "$HOME/.cache/huggingface/token")"
+  [[ -n "$token" ]] || { echo "no HF token in $HOME/.cache/huggingface/token" >&2; exit 1; }
+
+  dl() {
+    local f="$1"
+    curl -fsSL -C - -o "$f" --retry 5 --retry-delay 3 --retry-max-time 3600 \
+      -H "Authorization: Bearer $token" \
+      "https://huggingface.co/$REPO/resolve/main/$f"
+    echo "  done: $f ($(du -h "$f" | cut -f1))"
+  }
+
+  if [[ "$mode" == "download" ]]; then
+    echo "downloading $REPO into $DIR"
+    dl "Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf"
+    dl "mmproj-Qwen3.8-27B-BF16.gguf"
+    dl "mtp-Qwen3.8-27B-Q4_0.gguf"
+  fi
+
+  echo "verifying sizes"
+  local ok=1 f want act
+  for entry in "${EXPECTED[@]}"; do
+    f="${entry%%:*}"; want="${entry##*:}"
+    act="$(stat -c%s "$f")"
+    if [[ "$act" -eq "$want" ]]; then
+      echo "  OK   $f ($act bytes)"
+    else
+      echo "  BAD  $f ($act bytes, want $want)" >&2
+      ok=0
+    fi
+  done
+  [[ "$ok" -eq 1 ]] || exit 1
+  echo "all files present and sized correctly"
+}
+
+main "$@"
@@ -1,75 +1,72 @@
-# Tunables for frank-default-large (CIRU llama.cpp, dankclaw, Strix Halo
-# gfx1151).
+# Tunables for frank-default-large (kingjones Qwen3.8-27B ROCmFPX Q8 AGENT,
+# dankclaw, Strix Halo gfx1151).
 #
-# Runtime: the PromptForge llama-server built from ciru-ai/ROCmFPX tag
-# qwen3.8-activefpx-promptforge-v2.3 plus the v3 output-K8 runtime patch
-# serving kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4 (dense, Q6 AGENT
-# GGUF) with the standalone MTP Q4_0 draft head. Alias frank-default-large,
-# port 7770.
-#
-# This model replaced jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v3) on
-# 2026-08-24. The new model is a plain ROCmFP4 GGUF (no PromptForge .pfs
-# sidecars, no Output-K8 proxy); the requested file is Q6_.
+# Runtime: ROCmFPX llama.cpp with TurboQuant support. Serves the kingjones
+# AGENT GGUF plus its standalone MTP draft and vision projector. Alias
+# frank-default-large, port 7770.

 # WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The ROCm
 # HIP runtime reads those bare env vars (see the 2026-08-13 TEMP incident).
 # llama.cpp reads --host/--port/--temp as CLI flags, never as env vars.

-# CIRU llama-server binary (ROCmFPX v2.3 + v3 output-K8 patch build, built
-# against the private TheRock ROCm 7.15 SDK kept in the retired ling3-ciru
-# venv). ROCm 7.15 is required for the advertised Strix Halo performance.
-LLAMA_BIN=/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server
+# ROCmFPX build with TurboQuant KV-cache support.
+LLAMA_BIN=/home/dank/ciru-qwen38/ROCmFPX/build-kairic/bin/llama-server

-# Model files. Plain dense Qwen3.8-27B ROCmFP4 Q6 AGENT GGUF plus the standalone
-# MTP draft head and the vision projector. Kingjones 2026-08-24.
-MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-27B-STRIX-MTP
-MODEL_FILE=Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf
-MTP_DRAFT_FILE=mtp-Qwen3.8-27B-Q4_0.gguf
-MMPROJ_FILE=mmproj-Qwen3.8-27B-Q8_0.gguf
+# Model files from https://huggingface.co/kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF.
+MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT
+MODEL_FILE=Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf
+MTP_DRAFT_FILE=$MODEL_DIR/mtp-Qwen3.8-27B-Q4_0.gguf
+MMPROJ_FILE=mmproj-Qwen3.8-27B-BF16.gguf

-# Qwen-Sharp chat template (tracked in the repo, staged on the host).
+# Qwen-Sharp chat template (tracked in the repo, staged on the host). The Sharp
+# template drives thinking on by default (medium effort) and produces the
+# peg-native + deepseek chat/reasoning shape the Pi agent expects.
 CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
-# enable_thinking + preserve_thinking on by default in the Sharp template;
-# medium effort default. preserve_thinking keeps <think> blocks in recorded
-# assistant messages (set to false to strip them, true to always keep them).
-CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true}'
-
-# ROCm 7.15 SDK paths (inside the retired ling3-ciru venv).
-ROCM_DEVEL=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_devel
-ROCM_LIB=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_libraries
-ROCM_CORE=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_core
+CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}'

+# Alias + network.
 ALIAS=frank-default-large
 BIND_ADDR=0.0.0.0
 LISTEN_PORT=7770

-# Serving: 196608 (192K) context, 1 slot. f16 KV, context checkpoints,
-# prompt cache, draft-mtp with standalone Q4_0 head, n_max 4 (the knee for
-# the dense model). Unified memory; rocm-smi reports the 64 GiB budget.
-CTX_SIZE=196608
+# Serving: 262144 context (the model's maximum), 1 slot. f16 KV, context
+# checkpoints, prompt cache, standalone MTP draft on ROCm0. The full 262144
+# context KV cache plus the ~28-30 GB Q8 model + MTP draft + mmproj fit in the
+# lifted 114 GiB TTM/GTT budget on the Strix Halo (see the GTT 114 GiB change).
+# Concurrent requests queue; the server never preempts a running generation.
+CTX_SIZE=262144
 PARALLEL=1
-BATCH_SIZE=8192
-UBATCH_SIZE=8192
+# Batch/ubatch follow the existing qualified Dankclaw profile.
+BATCH_SIZE=512
+UBATCH_SIZE=512
+NUM_THREADS=16
+THREAD_BATCH=32
 CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
+CACHE_TYPE_V=turbo4
 CTX_CHECKPOINTS=32
 CACHE_RAM=8192

-# Dense-model MTP draft (standalone Q4_0 head, n_max 4). No PromptForge .pfs
-# sidecars are loaded; the LLAMA_CPU_ARGMAX fast path stays off.
-SPEC_DRAFT_N_MAX=4
-SPEC_DRAFT_N_MIN=0
-SPEC_DRAFT_P_MIN=0.0
-SPEC_DRAFT_P_SPLIT=0.10
+# Standalone MTP draft head, loaded from MTP_DRAFT_FILE by the serve script.
+MTP_N_MAX=4
+MTP_N_MIN=0
+MTP_P_MIN=0.0
+MTP_P_SPLIT=0.10

-# Sampling (kingjones model card / Sharp default).
-TEMPERATURE=1.0
+# Sampling (Sharp default).
+TEMPERATURE=0.7
 TOP_K=20
-TOP_P=0.95
+TOP_P=0.8
+MIN_P=0.0
+PRESENCE_PENALTY=1.5

-# Thinking on (Qwen-Sharp template drives thinking on; reasoning format
-# projects the tar into reasoning_content).
+# Reasoning on (Sharp template drives it; preserve_thinking + preserve_reasoning
+# keep the reasoning trail in the conversation). reasoning-format none lets the
+# template project the reasoning content into reasoning_content.
 REASONING=on
-REASONING_FORMAT=deepseek
+REASONING_FORMAT=none
+
+# Strix Halo unified memory + native gfx1151 detection for this ROCmFPX build.
+HSA_OVERRIDE_GFX_VERSION=11.5.1
+GGML_HIP_ENABLE_UNIFIED_MEMORY=1

 VERBOSITY=4
@@ -1,5 +1,5 @@
 [Unit]
-Description=CIRU llama.cpp Qwen3.8-27B ROCmFP4 STRIX MTP + Sharp template (dankclaw, frank-default-large)
+Description=Kairic Edge ROCmFPX llama.cpp Qwen3.8-27B IU4 + MTP (dankclaw, frank-default-large)
 After=network-online.target
 Wants=network-online.target

@@ -1,28 +1,9 @@
 #!/usr/bin/env bash
-# Serve kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP (dense) as
-# frank-default-large via the CIRU ROCmFPX llama.cpp runtime on Dankclaw
-# (Strix Halo gfx1151).
-#
-# Runtime: the PromptForge llama-server built from ciru-ai/ROCmFPX tag
-# qwen3.8-activefpx-promptforge-v2.3 (commit 103af8b41) plus the v3 output-K8
-# runtime patch (commit af0eac6), against the private TheRock ROCm 7.15 SDK
-# (kept in the retired ling3-ciru venv). The model is the plain ROCmFP4
-# Q6 AGENT GGUF (no PromptForge .pfs sidecars) with the standalone MTP draft
-# head mtp-Qwen3.8-27B-Q4_0.gguf. The Qwen-Sharp chat template is applied at
-# runtime.
-#
-# Spec: dense model -> native MTP draft at n_max 4 (the knee, per the model
-# card). The draft head is a separate Q4_0 GGUF loaded via --model-draft.
-#
-# The model card requires ROCm 7.15 (not the system ROCm 7.2.4) for the
-# advertised Strix Halo performance. LD_LIBRARY_PATH therefore points at the
-# 7.15 SDK libraries first.
-#
-# Tunables come from frank-default-large.env in this directory unless
-# FRANK_LARGE_ENV_FILE overrides that path.
+# Serve the kingjones Qwen3.8-27B ROCmFPX Q8 AGENT model as frank-default-large.
+# The deployment uses a standalone MTP draft head and Turbo4 V-side KV cache.
 set -euo pipefail

-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
 ENV_FILE="${FRANK_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-default-large.env}"
 if [[ -f "$ENV_FILE" ]]; then
    set -a
@@ -31,102 +12,73 @@ if [[ -f "$ENV_FILE" ]]; then
    set +a
 fi

-# --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/kingjones-Qwen3.8-27B-STRIX-MTP}"
-: "${MODEL_FILE:=Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf}"
-: "${MTP_DRAFT_FILE:=mtp-Qwen3.8-27B-Q4_0.gguf}"
-: "${MMPROJ_FILE:=mmproj-Qwen3.8-27B-Q8_0.gguf}"
-: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
-: "${ROCM_DEVEL:=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_devel}"
-: "${ROCM_LIB:=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_libraries}"
-: "${ROCM_CORE:=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_core}"
+: "${LLAMA_BIN:=/home/dank/ciru-qwen38/ROCmFPX/build-kairic/bin/llama-server}"
+: "${MODEL_DIR:=/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT}"
+: "${MODEL_FILE:=Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf}"
+: "${MTP_DRAFT_FILE:=$MODEL_DIR/mtp-Qwen3.8-27B-Q4_0.gguf}"
+: "${MMPROJ_FILE:=mmproj-Qwen3.8-27B-BF16.gguf}"
 : "${ALIAS:=frank-default-large}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7770}"
 : "${CTX_SIZE:=262144}"
 : "${PARALLEL:=1}"
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=4096}"
+: "${BATCH_SIZE:=2048}"
+: "${UBATCH_SIZE:=512}"
+: "${NUM_THREADS:=16}"
+: "${THREAD_BATCH:=32}"
 : "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${CTX_CHECKPOINTS:=16}"
+: "${CACHE_TYPE_V:=turbo4}"
+: "${CTX_CHECKPOINTS:=32}"
 : "${CACHE_RAM:=8192}"
-: "${SPEC_DRAFT_N_MAX:=4}"
-: "${SPEC_DRAFT_N_MIN:=0}"
-: "${SPEC_DRAFT_P_MIN:=0.0}"
-: "${SPEC_DRAFT_P_SPLIT:=0.10}"
-: "${TEMPERATURE:=1.0}"
+: "${MTP_N_MAX:=4}"
+: "${MTP_N_MIN:=0}"
+: "${MTP_P_MIN:=0.0}"
+: "${MTP_P_SPLIT:=0.10}"
+: "${TEMPERATURE:=0.7}"
 : "${TOP_K:=20}"
-: "${TOP_P:=0.95}"
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${CHAT_TEMPLATE_KWARGS:={}}"
-: "${VERBOSITY:=4}"
+: "${TOP_P:=0.8}"
+: "${MIN_P:=0.0}"
+: "${PRESENCE_PENALTY:=1.5}"
+: "${REASONING:=off}"
+: "${REASONING_FORMAT:=none}"
+: "${HSA_OVERRIDE_GFX_VERSION:=11.5.1}"

 MODEL="$MODEL_DIR/$MODEL_FILE"
-MTP_DRAFT="$MODEL_DIR/$MTP_DRAFT_FILE"
-
-# Plain dense model: no PromptForge .pfs sidecars, no Output-K8 proxy, no IU4
-# lane. The v3 MTP is driven by the standalone Q4_0 draft head through the
-# standard draft-mtp path. Unset any leftover PromptForge env lanes.
-unset PROMPTFORGE_SIDECAR PROMPTFORGE_GDN_SIDECAR PROMPTFORGE_MTP_OUTPUT_K8_PROXY || true
-unset PROMPTFORGE_MODE PROMPTFORGE_ENABLE_SMALLM_W8 || true
-unset PROMPTFORGE_MTP_OUTPUT_K8 PROMPTFORGE_MTP_OUTPUT_K8_VALIDATE || true
-unset PROMPTFORGE_IU4_SIDECAR PROMPTFORGE_GDN_IU4_SIDECAR || true
-unset PROMPTFORGE_ENABLE_NGRAM_MOD PROMPTFORGE_ENABLE_NGRAM_M65_IU4 || true
-
-for f in "$MODEL" "$MTP_DRAFT" "$MODEL_DIR/$MMPROJ_FILE" "$CHAT_TEMPLATE_FILE"; do
-    if [[ ! -f "$f" ]]; then
-        echo "missing required file: $f" >&2
+for f in "$LLAMA_BIN" "$MODEL" "$MTP_DRAFT_FILE" "$MODEL_DIR/$MMPROJ_FILE" "$CHAT_TEMPLATE_FILE"; do
+    if [[ ! -r "$f" ]]; then
+        echo "missing or unreadable required artifact: $f" >&2
        exit 1
    fi
 done
 if [[ ! -x "$LLAMA_BIN" ]]; then
-    echo "missing llama-server binary: $LLAMA_BIN" >&2
+    echo "missing executable runtime: $LLAMA_BIN" >&2
    exit 1
 fi
+SERVER_DIR="$(cd -- "$(dirname -- "$LLAMA_BIN")" && pwd)"
+ROCM_PATH="${ROCM_PATH:-/opt/rocm}"
+LIBRARY_PATH="$SERVER_DIR:$ROCM_PATH/lib:$ROCM_PATH/lib/rocm_sysdeps/lib:$ROCM_PATH/lib/llvm/lib:$ROCM_PATH/llvm/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"

-# ROCm 7.15 SDK libraries must precede any system ROCm in LD_LIBRARY_PATH.
-export ROCM_PATH="$ROCM_DEVEL"
-export LD_LIBRARY_PATH="${ROCM_LIB}/lib:${ROCM_CORE}/lib:${ROCM_DEVEL}/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"
-
-exec "$LLAMA_BIN" \
-    --model "$MODEL" \
+exec /usr/bin/env \
+    ROCM_PATH="$ROCM_PATH" \
+    HIP_VISIBLE_DEVICES=0 \
+    HSA_OVERRIDE_GFX_VERSION="$HSA_OVERRIDE_GFX_VERSION" \
+    LD_LIBRARY_PATH="$LIBRARY_PATH" \
+    GGML_CUDA_GRAPH_OPT=0 \
+    LLAMA_TARGET_GREEDY_ARGMAX_FASTPATH=0 \
+    LLAMA_MTP_CPU_ARGMAX_FASTPATH=1 \
+    "$LLAMA_BIN" -m "$MODEL" --alias "$ALIAS" \
+    --host "$BIND_ADDR" --port "$LISTEN_PORT" --jinja \
+    -dev ROCm0 -ngl 999 -np "$PARALLEL" -c "$CTX_SIZE" \
+    -b "$BATCH_SIZE" -ub "$UBATCH_SIZE" -fa on \
+    -ctk "$CACHE_TYPE_K" -ctv "$CACHE_TYPE_V" -t "$NUM_THREADS" -tb "$THREAD_BATCH" \
+    -ctxcp "$CTX_CHECKPOINTS" --cache-ram "$CACHE_RAM" --cache-prompt --cache-idle-slots --metrics \
+    --spec-type draft-mtp --model-draft "$MTP_DRAFT_FILE" \
    --mmproj "$MODEL_DIR/$MMPROJ_FILE" \
-    --chat-template-file "$CHAT_TEMPLATE_FILE" \
-    --chat-template-kwargs "$CHAT_TEMPLATE_KWARGS" \
-    --alias "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    -dev ROCm0 \
-    -ngl 999 \
-    -c "$CTX_SIZE" \
-    -b "$BATCH_SIZE" \
-    -ub "$UBATCH_SIZE" \
-    -fa on \
-    -ctk "$CACHE_TYPE_K" \
-    -ctv "$CACHE_TYPE_V" \
-    -np "$PARALLEL" \
-    -ctxcp "$CTX_CHECKPOINTS" \
-    --cache-ram "$CACHE_RAM" \
-    --cache-prompt \
-    --metrics \
-    --no-mmap \
-    --spec-type draft-mtp \
-    --model-draft "$MTP_DRAFT" \
-    --spec-draft-device ROCm0 \
-    --spec-draft-ngl 999 \
-    --spec-draft-type-k f16 \
-    --spec-draft-type-v f16 \
-    --spec-draft-n-max "$SPEC_DRAFT_N_MAX" \
-    --spec-draft-n-min "$SPEC_DRAFT_N_MIN" \
-    --spec-draft-p-min "$SPEC_DRAFT_P_MIN" \
-    --spec-draft-p-split "$SPEC_DRAFT_P_SPLIT" \
-    --temp "$TEMPERATURE" \
-    --top-k "$TOP_K" \
-    --top-p "$TOP_P" \
-    --reasoning "$REASONING" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget -1 \
-    -lv "$VERBOSITY"
+    --spec-draft-device ROCm0 --spec-draft-ngl 999 \
+    --spec-draft-type-k "$CACHE_TYPE_K" --spec-draft-type-v "$CACHE_TYPE_V" \
+    --spec-draft-n-max "$MTP_N_MAX" --spec-draft-n-min "$MTP_N_MIN" \
+    --spec-draft-p-min "$MTP_P_MIN" --spec-draft-p-split "$MTP_P_SPLIT" \
+    --spec-draft-backend-sampling \
+    --temp "$TEMPERATURE" --top-p "$TOP_P" --top-k "$TOP_K" --min-p "$MIN_P" \
+    --presence-penalty "$PRESENCE_PENALTY" \
+    --reasoning "$REASONING" --reasoning-format "$REASONING_FORMAT" --reasoning-budget -1
@@ -0,0 +1,73 @@
+#!/usr/bin/env bash
+# Seam: frank-default-large model, ROCmFPX runtime, MTP, KV cache, template.
+#
+# load helpers
+
+load helpers
+
+ENV_FILE="$REPO_ROOT/scripts/frank-default-large.env"
+SERVE_FILE="$REPO_ROOT/scripts/serve-frank-large.sh"
+UNIT_FILE="$REPO_ROOT/scripts/frank-default-large.service"
+TEMPLATE_FILE="$REPO_ROOT/scripts/chat-template.jinja"
+
+@test "frank-default-large serves the kingjones AGENT model" {
+    grep -q '^MODEL_FILE=Qwen3\.8-27B-Q8_0_ROCMFPX_AGENT\.gguf$' "$ENV_FILE"
+    grep -q '^MTP_DRAFT_FILE=' "$ENV_FILE"
+    ! grep -q -- '--kairic-edge' "$SERVE_FILE"
+}
+
+@test "frank-default-large uses the ROCmFPX runtime" {
+    grep -q 'ROCmFPX/.*/bin/llama-server' "$ENV_FILE"
+    grep -q 'build-kairic/bin/llama-server' "$ENV_FILE"
+}
+
+@test "frank-default-large runs standalone MTP" {
+    grep -q -- '--spec-type draft-mtp' "$SERVE_FILE"
+    grep -qF -- '--model-draft "$MTP_DRAFT_FILE"' "$SERVE_FILE"
+    grep -qF -- '--spec-draft-n-max "$MTP_N_MAX"' "$SERVE_FILE"
+    grep -q '^MTP_N_MAX=4$' "$ENV_FILE"
+}
+
+@test "frank-default-large has no obsolete PromptForge sidecar wiring" {
+    ! grep -qE 'KAIRIC_|PROMPTFORGE_' "$SERVE_FILE"
+    ! grep -qE 'KAIRIC_|PROMPTFORGE_' "$ENV_FILE"
+}
+
+@test "frank-default-large fits the model and KV cache in unified memory" {
+    grep -q '^CTX_SIZE=262144$' "$ENV_FILE"
+    grep -q ': "${CTX_SIZE:=262144}"' "$SERVE_FILE"
+}
+
+@test "frank-default-large has reasoning and preserved reasoning/thinking enabled" {
+    grep -q '^REASONING=on$' "$ENV_FILE"
+    grep -q 'enable_thinking":true' "$ENV_FILE"
+    grep -q 'preserve_thinking":true' "$ENV_FILE"
+    grep -q 'preserve_reasoning":true' "$ENV_FILE"
+}
+
+@test "frank-default-large uses Turbo4 only for the V cache" {
+    grep -q '^CACHE_TYPE_K=f16$' "$ENV_FILE"
+    grep -q '^CACHE_TYPE_V=turbo4$' "$ENV_FILE"
+    grep -qF -- '-ctk "$CACHE_TYPE_K" -ctv "$CACHE_TYPE_V"' "$SERVE_FILE"
+}
+
+@test "frank-default-large exposes a swappable ubatch" {
+    grep -q '^UBATCH_SIZE=512$' "$ENV_FILE"
+    grep -q ': "${UBATCH_SIZE:=512}"' "$SERVE_FILE"
+    grep -q -- '-ub "$UBATCH_SIZE"' "$SERVE_FILE"
+}
+
+@test "frank-default-large uses the tracked Qwen-Sharp template on :7770" {
+    grep -q '^CHAT_TEMPLATE_FILE=' "$ENV_FILE"
+    grep -q -- '--jinja' "$SERVE_FILE"
+    [ -s "$TEMPLATE_FILE" ]
+    grep -q '^ALIAS=frank-default-large$' "$ENV_FILE"
+    grep -q '^LISTEN_PORT=7770$' "$ENV_FILE"
+    grep -q 'frank-default-large' "$UNIT_FILE"
+}
+
+@test "frank-default-large env avoids the HIP TEMP/HOST collision" {
+    # The 2026-08-13 incident: TEMP/HOST/GPU_MAX_HEAP_SIZE are HIP runtime vars.
+    ! grep -qE '^(TEMP|HOST|GPU_MAX_HEAP_SIZE)=' "$ENV_FILE"
+    grep -q '^TEMPERATURE=' "$ENV_FILE"
+}
Author	SHA1	Message	Date
Frank	54b2d84613	Upgrade frank-default-large to kingjones Q8_0 AGENT at full 262144 context frank-default-large now serves the kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT model with a standalone MTP draft head (Q4_0), f16 K + TurboQuant V KV cache, and the Sharp chat template. Context is maxed to 262144 (one slot); reasoning is on with preserve_thinking + preserve_reasoning in the chat kwargs. - frank-default-large.env: Q8_0 AGENT model paths, CTX_SIZE=262144, REASONING=on, REASONING_FORMAT=none, CHAT_TEMPLATE_KWARGS {enable_thinking, preserve_thinking, preserve_reasoning} - serve-frank-large.sh: standalone draft-mtp profile (already switched off the Kairic/PromptForge path) - download-q8agent.sh: reproducible HF fetch of the three payload files - docs/LLM/kingjones-q8agent-rocmfpx.md: Q8_0 AGENT runbook - AGENTS.md: topology + ACTIVE runtime section + TTM/GTT load note - qwen3.8-strix-optimizations, Dankclaw Improvements: TTM pages_limit now 114 GiB (applied 2026-08-25), full 262k KV + Q8 payload fit in one slot - frank_large_config.bats: assert 262144 context, reasoning + preserve_* enabled The TTM/GTT was raised to 114 GiB (29,883,536 pages) to hold the full 262k KV.	2026-08-25 07:12:02 -07:00
Frank	24efa98d56	docs: add SearXNG providers guide for unblocking Google behind Gluetun VPN SearXNG queries all ~50 upstream engines from one Gluetun VPN exit IP, so rate-sensitive engines (Google, DuckDuckGo) answer with reCAPTCHA/429 and SearXNG suspends the offending engine for hours-to-days, showing up as "unavailable". Add docs/Dankclaw/SearXNG Providers.md covering: the suspension model, the two failure modes (CAPTCHA vs selector drift), engine config (settings.yml engines: list — duplicate google, timeout, retry_on_http_error, JSON feed), request tuning (outgoing block, UA rotation, suspended_times — correcting the old rate_limit/useragents blog myths), routing/proxies (per-engine proxies, dedicated 2nd Gluetun, dedicated IP), and verification (/json, /config, check.searx.space). Crosslink into SearXNG.md and index.md.	2026-08-25 06:22:57 -07:00
Frank	b457457bfe	Switch large service to Kairic Edge v1.2	2026-08-25 04:41:04 -07:00
Frank	f86ed70c71	Use conservative four-token MTP drafts	2026-08-25 04:20:15 -07:00
Frank	3cf6353050	Reduce large model context to 64K	2026-08-25 04:13:00 -07:00
Frank	b0eb571321	Reduce large model context to 128K	2026-08-25 04:09:12 -07:00
Frank	ee3c3de750	Reduce frank-default-large context for KV headroom	2026-08-25 04:05:33 -07:00
Frank	7ca9dc248e	frank-default-large: swap to caf-eemin Qwen3.8-27B ROCmI4 embedded-MTP Replace the retired kingjones ROCmFP4 STRIX MTP payload on Dankclaw with cafonz/Qwen3.8-27B-ROCmI4-MTP-GGUF (eemin namespace, public), served by the charlie12345/ROCmFPX llama.cpp build (ROCmI4 W4A4, c49ebdbd) on the Strix Halo iGPU. Q4_0_ROCMI4 with an embedded NextN/MTP head (no separate draft file); strict-Qwen MTP n16/p0.60/backend sampling on ROCm0. Binary /home/dank/rocmi4-qwen38/ROCmFPX/build-rocmi4-w4a4/bin/llama-server; model dir /home/dank/models/eemin-Qwen3.8-27B-ROCMI4-MTP. Updated serve script + env, ubatch bench, large-config bats test, docs, AGENTS.md.	2026-08-25 03:33:29 -07:00