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