docs: record fleet double swap (large -> kingjones STRIX on pinned fork, small -> Huihui FP8 on FreeToken)

- kingjones-strix-rocmfp4 reactivated as the ACTIVE large runbook:
  runtime build recipe (WEBUI=OFF gotcha), deployed serving profile,
  fa-on-works-unpatched evidence, MTP heads documented unloadable,
  swap procedure + 2026-08-30 validation record
- agentionai-fast-imatrix marked RETIRED (rollback record kept)
- freetoken-frank-default-small: model/lineage/template sections now
  Huihui abliterated FP8; new operational quirk: chat API 422 without
  explicit model field
- LLM index + AGENTS fleet table/runtime sections current; both
  services' history chains fixed (small was still Tiel in AGENTS.md)
- worklog entry added; models.json contextWindow for large corrected
  to the real per-slot 131072 (llama clamps n_ctx_train/parallel)
This commit is contained in:
Frank
2026-08-30 02:35:38 -07:00
parent aa9c1d065a
commit 0937cfb047
6 changed files with 268 additions and 152 deletions
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@@ -22,12 +22,12 @@ prefix, reorganized in follow-up commits). The retired target checkouts
archived. All services now run from `/home/dank/serverAppConfigs` on each
host.
### LLM fleet topology (2026-08-22)
### LLM fleet topology (2026-08-30)
| 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 | charlie12345/ROCmFPX llama.cpp (build-qwen38) | frank-default-large | agentionai Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87 GiB Q4_0_ROCMFP4_FAST, PLE joined table in v2 GGUF), ngram-mod spec (MTP head on disk, incompatible with this build), 32K context / 1 slot, reasoning on | 7770 |
| Dankserver | FreeToken v0.1.2 | frank-default-small | batsclamp Huihui-Qwen3.6-35B-A3B-abliterated-FP8 (block-fp8 e4m3 128x128, ~35 GB safetensors), experts host-RAM LRU, 262144 ctx / 4 concurrent, reasoning on | 7770 |
| Dankclaw | kingjones30/ROCmFPX llama.cpp (card-pinned fork) | frank-default-large | kingjones777 Qwen3.8-Flash-Next-ROCmFP4-STRIX (113.47 GiB single GGUF, Q4_0_ROCMFP4_STRIX, PLE streams via mmap), 401408 ctx / 2 slots, fa on, no spec decode, 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
@@ -40,7 +40,12 @@ Qwen3.8-27B-Uncensored-Q6_0-ROCmFPX_AGENT model (standalone MTP draft,
Dankserver switched from ik_llama.cpp Ornith CRACK Q8_0 to stock llama.cpp
Tiel-Coder-35B (qwen35moe hybrid MoE), and Dankclaw switched from the Q6_0
AGENT model to the Flash-Next 56B MoE (qwen4exp, PR #27742 merged into
charlie's ROCmFPX fork, --fit off, 128k context). Runbooks:
charlie's ROCmFPX fork, --fit off, 128k context). On 2026-09-02
Dankserver moved to the FreeToken runtime serving the official
Qwen3.6-35B-A3B-FP8. On 2026-08-30 both services swapped again:
Dankclaw to the kingjones STRIX model on the card's pinned
kingjones30/ROCmFPX runtime, Dankserver to the Huihui abliterated
FP8 checkpoint on FreeToken. Runbooks:
[serverAppConfigs-docs/LLM/index.md](serverAppConfigs-docs/LLM/index.md).
Retired scripts live in `old/` (reference only) and `.AGENTTRASH/`.
@@ -274,63 +279,85 @@ When you rename a service or move a model to a new host, update
## Runtime & Troubleshooting
### Qwen3.8-Flash-Next ROCmFP4-FAST imatrix llama.cpp (Dankclaw, ACTIVE)
### kingjones Qwen3.8-Flash-Next STRIX on kingjones30/ROCmFPX (Dankclaw, ACTIVE)
The large service serves
`agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-GGUF` (public,
87.06 GiB, Q4_0_ROCMFP4_FAST imatrix-calibrated) from
`/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/` with a
charlie12345/ROCmFPX `llama-server` built at
`/home/dank/GitPackages/ROCmFPX/build-qwen38` (PR #27742 qwen4exp architecture
merged). The model is a 56B MoE (512 experts, 10 used), 48 layers (12 attn +
36 SSM, full_attention_interval=4), QSA indexer (4 heads, top_k=2048),
hyper-connections (count=4, low_rank=320), PLE (layer 1). The 51.2 B-parameter
n-gram table is a single joined tensor in the `v2/` GGUF we serve (the root
`-ple16` per-head split requires the LaurentZuijdwijk Vulkan fork and aborts
this loader's `GGML_ASSERT(qwen4exp is missing the PLE n-gram table)`) — fully
VRAM-resident, no sidecar, no `--ngram-on-disk`. The model's own MTP draft head
(`agentionai/Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST-GGUF`, 2.28 GiB, ROCmFP4-FAST
quant matched to target) is on disk but does **not** load on this binary
(loader requires a full per-layer `blk.<il>.hc_attn_norm.weight` set; the head
carries only `blk.48`) — speculative decoding runs ngram-mod only. Vision
tower (f16) ships as mmproj/. It runs 32768 context / 1
slot (author quick-start; the fully GPU-resident 87 GiB model + f16 KV +
compute buffer OOMs the SVM pool beyond that — verified live: cudaMalloc
fails at 131072/262144), b 4096 / ub 4096, t 16 / tb 16, f16 KV cache,
`--fit off` (auto-fit segfaults on qwen4exp hyper-connection config),
`--flash-attn on` (restored 2026-08-29 via the QSA F32-mask patch,
`scripts/patches/qwen4exp-qsa-f32-mask.patch` — re-apply inside
`/home/dank/GitPackages/ROCmFPX` before any clean rebuild), and reasoning on
(Sharp template, budget -1, `--reasoning-format deepseek`; chat kwargs keep
`preserve_thinking` + `preserve_reasoning`). Env
`kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF` (public, 113.47
GiB single file, `Q4_0_ROCMFP4_STRIX` = file_type 105) from
`/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX/` with
the card's **pinned runtime**: the `kingjones30/ROCmFPX` fork
(charlie12345/ROCmFPX + qwen4exp-on-rocmfpx-d3ca537 patch — ROCmFP4
types and qwen4exp arch in one tree), built at
`/home/dank/GitPackages/kingjones-ROCmFPX/build` with
`-DGGML_HIP=ON -DGPU_TARGETS=gfx1151 -DGGML_NATIVE=ON
-DCMAKE_BUILD_TYPE=Release -DLLAMA_BUILD_WEBUI=OFF` (WebUI
provisioning needs npm/HF-bucket and aborts the link at 98% without
the OFF flag). Args: our validated profile — 401408 context / 2 slots,
b 4096 / ub 512 (ub 512 matches the card's re-measurement), t 16 / tb
16, f16 KV, `--fit off`, `--flash-attn on` (works UNPATCHED on this
model — the QSA F16 ggml_fill assert that needed
`scripts/patches/qwen4exp-qsa-f32-mask.patch` is specific to the
agentionai FAST layer set; if a future build aborts with
`GGML_ASSERT(a-type == GGML_TYPE_F32)`, port that fix), reasoning on
(Sharp template, deepseek format), no speculative decoding (card ships
no spec flags; Flash-Next MTP heads do not load on this loader family).
Two hard card constraints: **mmap must stay on** (`--no-mmap` forces
the 50.66 GiB Q8_0 PLE table into anonymous memory → silent cgroup
kill, only dmesg evidence; llama.cpp's "use_mmap=1" log line is
correct here — mmap pages ARE page cache) and **never pin the PLE
tensor with `-ot`** (23 → 13.4 t/s). The 51.2B-param PLE table never
enters GPU memory (~20 bytes/token-file per 500 decoded). On-host file
sha256 verified == HF LFS oid `c6770d74...49fa`. Env
`scripts/frank-default-large.env`, serve `scripts/serve-frank-large.sh`.
**Serving status (2026-08-29):** deployed the agentionai ROCmFP4-FAST imatrix
model (v2 joined PLE layout), replacing the kingjones STRIX and jcbtc CIRU v1.1
deployments. The own-matched MTP draft head does NOT load on build-qwen38 —
verified against the v2 main itself (`missing tensor blk.0.hc_attn_norm.weight`),
third confirmation (EasiiX Q8_0 + agentionai FAST vs STRIX_LEAN earlier). The
head stays on disk for a future compatible binary. Same day, `--flash-attn on`
was restored: the QSA F32-mask patch (vendored
`scripts/patches/qwen4exp-qsa-f32-mask.patch`) fixes the F16-kq_mask
`ggml_fill` abort; the rebuilt fork binary carries it, verified live at 32K.
Runbook:
[serverAppConfigs-docs/LLM/kingjones-strix-rocmfp4.md](serverAppConfigs-docs/LLM/kingjones-strix-rocmfp4.md).
**Serving status (2026-08-30):** swapped from the agentionai FAST
deployment. Validated live before the systemd handoff: clean load,
health 200, reasoning completions, and an operator session's ~111k
token prefill at 213–232 t/s (card rung: 196 at 131k). Note llama.cpp
clamps n_ctx_train 262144 → per-slot 131072 with parallel 2.
### agentionai ROCmFP4-FAST imatrix llama.cpp (Dankclaw, prior, 2026-08-29 to 2026-08-30)
Historical — rollback target. `agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-GGUF`
(87.06 GiB, Q4_0_ROCMFP4_FAST imatrix, v2/ joined-PLE layout only — the
root `-ple16` per-head split aborts this loader family) on the charlie
`build-qwen38` tree (`/home/dank/GitPackages/ROCmFPX`, PR #27742
merged) at 32768/1, ub 4096. That tree REQUIRES
`scripts/patches/qwen4exp-qsa-f32-mask.patch` for `--flash-attn on`
(F16-kq_mask ggml_fill abort otherwise). Flash-Next MTP heads do not
load on any current loader (require full per-layer
`blk.<il>.hc_attn_norm.weight`; heads carry only `blk.48` — verified
3x). Binary and payload retained. Runbook:
[serverAppConfigs-docs/LLM/agentionai-fast-imatrix.md](serverAppConfigs-docs/LLM/agentionai-fast-imatrix.md).
### Tiel-Coder-35B-A3B llama.cpp (Dankserver, ACTIVE)
### Huihui-Qwen3.6-35B-A3B-abliterated-FP8 on FreeToken (Dankserver, ACTIVE)
The small service serves `peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF` (public,
30 GB, UD-Q6_K_XL quant) from `/home/dank/models/tiel-coder-35b/` with
upstream llama.cpp (latest master, CUDA build with
`-DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES=86`). The model is a
qwen35moe hybrid MoE: 40 layers (10 attention + 30 SSM/Mamba,
full_attention_interval=4), 256 experts / 8 used, 2 KV heads × 256 dim. It
runs Q8_0 KV cache, 200700 total context (66900/slot × 3 parallel), `--cpu-moe`
for expert offload, `-ngl 999` (non-expert on GPU), and mmap. Env
`scripts/frank-default-small.env`, serve `scripts/serve-frank-small.sh`.
The small service serves `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8`
(public, ~35 GB, 26 safetensors shards) from
`/home/dank/models/huihui-qwen36-35b-a3b-abliterated-fp8/` with
FreeToken v0.1.2 (`/home/dank/freetoken/.venv`, `ft serve`). Native
modelopt block-fp8 (e4m3, dynamic, 128×128 weight_block_size,
un-fused per-expert layout) — same format and loader path as the
official Qwen3.6-35B-A3B-FP8 it replaced on 2026-08-30, so the entire
memory/pool plan carries: experts host-RAM with 20% LRU GPU residency,
paged KV (only the 10 full-attention layers page; 30 GDN layers use
constant-size mamba slots), ~3.4 GiB VRAM headroom at boot, and the
validated `--memory-num-gpu-blocks-experts 2048
--memory-num-gpu-tokens-kv-cache 453005 --max-num-seqs 4` pool triple
(never grow the expert pool). 262144 context, reasoning on (the
checkpoint ships the froggeric fixed chat template — no override).
FreeToken's API REQUIRES an explicit `"model"` field in chat requests
(422 without it). Env `scripts/frank-default-small.env`, serve
`scripts/serve-frank-small.sh`. Runbook:
[serverAppConfigs-docs/LLM/freetoken-frank-default-small.md](serverAppConfigs-docs/LLM/freetoken-frank-default-small.md).
**Serving status (2026-09-01):** deployed the Tiel-Coder-35B model. The
previous ik_llama.cpp Ornith CRACK Q8_0 deployment is retired.
**Serving status (2026-08-30):** swapped the model within the FreeToken
runtime (official FP8 → Huihui abliterated FP8). ~40 tok/s verified on
a 282-token completion post-deploy. Prior: official Qwen FP8
(2026-09-02, runtime swap), Tiel-Coder-35B on llama.cpp (2026-09-01),
ik_llama.cpp Ornith CRACK (retired 2026-09-02).
### charlie12345/ROCmFPX ROCmI4 W4A4 llama.cpp (Dankclaw, prior v3, 2026-08-18 to 2026-08-25)
@@ -17,17 +17,21 @@ timestamp: 2026-08-29
# agentionai Qwen3.8-Flash-Next ROCmFP4-FAST imatrix on Dankclaw
> **Active since 2026-08-29.** Replaced the kingjones STRIX_LEAN and jcbtc
> CIRU v1.1 deployments on the same slot.
> **MTP draft disabled** — the author's own head does not load on
> build-qwen38 (see Known issues #3). Speculative decoding is ngram-mod only.
> **RETIRED 2026-08-30** — replaced by the kingjones STRIX model on the
> card's pinned kingjones30/ROCmFPX runtime; see
> [[kingjones-strix-rocmfp4]] for the active runbook. This page stays as
> the deployment record: the v2-joined-PLE layout requirement, the MTP
> head incompatibility (verified 3x), and the QSA F32-mask patch
> (`scripts/patches/qwen4exp-qsa-f32-mask.patch`) that made
> `--flash-attn on` work on the charlie build-qwen38 tree — all still
> true for that binary + model pair, which remains the rollback target.
`frank-default-large` (port 7770) serves
`frank-default-large` (port 7770) served
`agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-GGUF` (main,
`Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-v2.gguf`, the `v2/` joined layout)
with the author's own MTP draft head
(`Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf`) on the
charlie12345/ROCmFPX `build-qwen38` runtime.
(`Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf`, never loaded) on the
charlie12345/ROCmFPX `build-qwen38` runtime, 2026-08-29 → 2026-08-30.
## Why this model
@@ -1,7 +1,7 @@
---
type: configuration
title: FreeToken frank-default-small Runbook
description: FreeToken v0.1.2 serving Qwen3.6-35B-A3B-FP8 as frank-default-small on Dankserver (RTX 3090).
description: FreeToken v0.1.2 serving batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8 as frank-default-small on Dankserver (RTX 3090).
tags:
- freetoken
- dankserver
@@ -9,32 +9,40 @@ tags:
- qwen3.6
- moe
- fp8
timestamp: 2026-09-02
timestamp: 2026-08-30
---
# FreeToken frank-default-small Runbook
The `frank-default-small` service on Dankserver is served by
**FreeToken v0.1.2** — an edge-native MoE serving engine that keeps
expert weights in host RAM with an LRU GPU cache. It replaced the
llama.cpp Tiel-Coder-35B-A3B (UD-Q6_K_XL) deployment on 2026-09-02.
expert weights in host RAM with an LRU GPU cache. Model history on this
runtime: official `Qwen/Qwen3.6-35B-A3B-FP8` (since 2026-09-02) →
`batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8` (2026-08-30,
same format and pool budget). The engine itself replaced the llama.cpp
Tiel-Coder-35B-A3B (UD-Q6_K_XL) deployment.
## Model
| Field | Value |
|-------|-------|
| HuggingFace | `Qwen/Qwen3.6-35B-A3B-FP8` |
| HuggingFace | `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8` |
| Lineage | Qwen/Qwen3.6-35B-A3B → huihui-ai abliterated → this FP8 (quantizer batsclamp) |
| Architecture | `qwen3_5_moe` (Qwen3_5MoeForConditionalGeneration) |
| Quant | modelopt block-fp8 (128×128 `weight_block_size`) |
| Size on disk | 35 GB |
| Path | `/home/dank/models/qwen36-35b-a3b-fp8` |
| Quant | native modelopt block-fp8 e4m3, dynamic activations, 128×128 `weight_block_size`, bf16 `weight_scale_inv` — byte-format identical to the official FP8 repo |
| BF16 kept | lm_head, embed_tokens, all norms, router gates, mamba state params, visual encoder, MTP module |
| Experts | un-fused per-expert layout (`mlp.experts.{0..255}.*`) matching official Qwen FP8 — same FreeToken loader path |
| Size on disk | ~35 GB (26 safetensors shards) |
| Path | `/home/dank/models/huihui-qwen36-35b-a3b-abliterated-fp8` |
| Layers | 40 (10 full-attention + 30 GDN/linear-attention) |
| Experts | 256 per layer, 8 used per token |
| KV heads | 2 × 256 dim |
| Context | 262,144 (model max) |
| Chat template | froggeric/Qwen-Fixed-Chat-Templates (fixed Qwen3.6 template, shipped in `tokenizer_config.json`; FreeToken reads it from the checkpoint — no override) |
**Important:** This serves base Qwen3.6-35B-A3B weights, not the
Tiel-Coder finetune that was previously served via llama.cpp.
**Important:** this is the Huihui *abliterated* finetune (refusals
removed) — not the base Qwen weights served before 2026-08-30, and not
the earlier Tiel-Coder finetune. Expect a direct-answers assistant.
## Runtime
@@ -71,7 +79,7 @@ ft ctl --base-url http://127.0.0.1:7770 cache --kv N --moe M --wait 300
- The fit check refuses overcommit: if the plan doesn't fit, the old
cache is retained and serving continues.
### Benchmark Results (2026-09-02)
### Benchmark Results (2026-09-02, base FP8 checkpoint)
See [[freetoken-benchmark-sweep]] for the full bs1/bs3/bs4/bs6 sweep
across KV pool sizes 8k–700k.
@@ -110,7 +118,7 @@ FreeToken v0.1.2 supports these safetensor quants for `qwen3_5_moe`:
## Limitations
- **Model identity**: serves base Qwen3.6-35B-A3B, not Tiel-Coder finetune.
- **Model identity**: serves the Huihui abliterated FP8 finetune, not the Tiel-Coder coder finetune from the llama.cpp era.
- **JIT compilation**: first startup compiles flashinfer/tvm-ffi kernels
(~5–15 min cold). Cached afterward in `~/.cache/flashinfer` and
`~/.cache/tvm-ffi`.
@@ -120,8 +128,21 @@ FreeToken v0.1.2 supports these safetensor quants for `qwen3_5_moe`:
- **Env var collisions**: never name tunables `TEMP`, `HOST`, or
`GPU_MAX_HEAP_SIZE` (HIP runtime reads these).
## Operational quirks
- **`model` field is required** in `/v1/chat/completions` bodies —
FreeToken rejects requests without it with a 422 (`Field required`),
unlike llama.cpp's server which defaults to the loaded model. Send
`"model": "frank-default-small"`.
- Load on this swap took well under the old llama.cpp numbers:
weights → experts (parallel build) → CUDA graph capture → Uvicorn
in ~2 minutes; the 2026-08-30 swap verified ~40 tok/s decode on a
282-token completion.
## Citations
- FreeToken paper: arXiv 2608.16157
- FreeToken PyPI: `freetoken[accel]` v0.1.2
- HuggingFace model: `Qwen/Qwen3.6-35B-A3B-FP8`
- HuggingFace model: `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8`
- Upstream weights: `huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated`, `Qwen/Qwen3.6-35B-A3B-FP8`
- Fixed chat template: `froggeric/Qwen-Fixed-Chat-Templates`
+17 -16
View File
@@ -1,10 +1,10 @@
# LLM Fleet — Knowledge Base
Documentation for the LLM inference fleet on two local machines
(2026-08-29): FreeToken v0.1.2 on Dankserver (frank-default-small,
Qwen3.6-35B-A3B-FP8) and ROCmFPX llama.cpp on Dankclaw
(frank-default-large, agentionai Qwen3.8-Flash-Next ROCmFP4-FAST
imatrix + MTP draft). Both services run the Qwen-Sharp chat template.
(2026-08-30): FreeToken v0.1.2 on Dankserver (frank-default-small,
Huihui-Qwen3.6-35B-A3B-abliterated-FP8) and kingjones30/ROCmFPX
llama.cpp on Dankclaw (frank-default-large, kingjones777
Qwen3.8-Flash-Next ROCmFP4-STRIX). 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
@@ -19,17 +19,17 @@ graph LR
A[RTX 3090 24GB + 60GB RAM]
B2[FreeToken v0.1.2
frank-default-small, port 7770]
C[Qwen3.6-35B-A3B-FP8
C[Huihui-Qwen3.6-35B-A3B-abliterated-FP8
block-fp8, 20% MoE residency, 453k KV / 4 streams]
A --> B2 --> C
end
subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
E2[gfx1151 iGPU 64 GiB unified memory]
E[charlie12345/ROCmFPX build-qwen38
E[kingjones30/ROCmFPX build
frank-default-large, port 7770]
F[agentionai Qwen3.8-Flash-Next
ROCmFP4-FAST imatrix + MTP draft, 262K ctx / 1 slot]
F[kingjones777 Qwen3.8-Flash-Next
ROCmFP4-STRIX, 401k ctx / 2 slots, mmap PLE]
E2 --> E --> F
end
@@ -47,19 +47,20 @@ ROCmFP4-FAST imatrix + MTP draft, 262K ctx / 1 slot]
## Active Deployment
- [[freetoken-frank-default-small]] — the active frank-default-small
runbook: FreeToken v0.1.2 serving Qwen3.6-35B-A3B-FP8 on Dankserver
(2026-09-02)
runbook: FreeToken v0.1.2 serving batsclamp/Huihui-Qwen3.6-35B-A3B-
abliterated-FP8 on Dankserver (swapped 2026-08-30; same format/pools)
- [[freetoken-benchmark-sweep]] — KV pool vs decode speed sweep
(bs1/bs3/bs4/bs6, 8k–700k KV) on Dankserver RTX 3090
- [[deployment]] — deploy and update process for both servers
- [[frank-redo-2026-08-17]] — the 2026-08-17 topology change
- [[agentionai-fast-imatrix]] — ACTIVE frank-default-large runbook:
agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87.06 GiB
Q4_0_ROCMFP4_FAST, per-head PLE in GGUF) + own MTP draft head
(ROCmFP4-FAST, 2.28 GiB), build-qwen38 runtime (2026-08-29)
- [[kingjones-strix-rocmfp4]] — retired frank-default-large runbook:
- [[kingjones-strix-rocmfp4]] — ACTIVE frank-default-large runbook:
kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF, 177B params
(56B MoE + 51.2B PLE), single 113.47 GiB GGUF, STRIX tier
(56B MoE + 51.2B PLE), single 113.47 GiB GGUF, on the card's pinned
kingjones30/ROCmFPX fork (swapped 2026-08-30)
- [[agentionai-fast-imatrix]] — retired frank-default-large runbook:
agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87.06 GiB
Q4_0_ROCMFP4_FAST imatrix, v2 joined PLE) on build-qwen38
(2026-08-29 → 2026-08-30); rollback binary + payload retained
- [[ubatch-benchmark-large]] — active-model llama-bench ubatch sweep plan and results
- [[kingjones-q8agent-rocmfpx]] — the retired Q8_0-AGENT investigation and `set_rows` failure
- [[eemin-rocmi4-mtp]] — the former caf-eemin Qwen3.8-27B embedded-MTP model
@@ -1,7 +1,7 @@
---
type: reference
title: kingjones Qwen3.8-Flash-Next ROCmFP4 STRIX on Dankclaw
description: kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF served by the ROCmFPX llama.cpp fork. 177B params (56B MoE + 51.2B PLE), single 113.47 GiB GGUF. frank-default-large.
description: ACTIVE frank-default-large runbook. kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF served by the card's pinned kingjones30/ROCmFPX fork. 177B params (56B MoE + 51.2B PLE streamed via mmap), single 113.47 GiB GGUF, 401408 ctx x 2 slots.
tags:
- llama.cpp
- rocm
@@ -11,18 +11,23 @@ tags:
- rocmfp4
- strix-halo
- qwen4exp
timestamp: 2026-08-27
timestamp: 2026-08-30
---
# kingjones Qwen3.8-Flash-Next ROCmFP4 STRIX on Dankclaw
> **Active since 2026-08-27.** Replaced the STRIX_LEAN deployment on the same
> build. Same GPU memory profile, larger PLE table.
> **Active again since 2026-08-30** on the model card's **pinned runtime**:
> the `kingjones30/ROCmFPX` fork (replaced the agentionai FAST deployment
> which ran on charlie's `build-qwen38`). Text-only tier; the agentionai
> f16 vision tower is paired for mmproj and loads clean. Speculative
> decoding is OFF (the card ships no spec flags; the Flash-Next MTP heads
> do not load on this loader family — see MTP Draft Head).
`frank-default-large` (port 7770) serves
`Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX` from `kingjones777` on Hugging Face.
A single GGUF file, 113.47 GiB. Text-only (no mmproj). MTP draft head
loaded as a separate GGUF sidecar (see MTP Draft Head below).
`Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf` (single file, 113.47 GiB)
from `/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX/`
via `scripts/serve-frank-large.sh` + `scripts/frank-default-large.env`
and the Qwen-Sharp chat template.
## Model Architecture
@@ -146,12 +151,35 @@ TB=32 are identical at 3.4 tok/s; TB=8 is marginally slower at 3.3 tok/s.
Combined with the 5.1% prefill advantage at lower thread counts, `--threads-batch
16` is the optimal setting for both phases.
## Runtime build (kingjones30/ROCmFPX)
The card pins its own fork: [kingjones30/ROCmFPX](https://github.com/kingjones30/ROCmFPX)
— charlie12345/ROCmFPX plus the `qwen4exp-on-rocmfpx-d3ca537` patch, so
ROCmFP4 tensor types and the qwen4exp arch live in one tree. Built at
`/home/dank/GitPackages/kingjones-ROCmFPX/build` from commit `36e9acd`
(2026-08-27 card revision) with the card's recipe:
```bash
git clone https://github.com/kingjones30/ROCmFPX.git
cd ROCmFPX
cmake -B build -DGGML_HIP=ON -DGPU_TARGETS=gfx1151 -DGGML_NATIVE=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_BUILD_WEBUI=OFF
cmake --build build --target llama-server llama-quantize -j16
```
- **`-DLLAMA_BUILD_WEBUI=OFF` is required on this box**: the tree
(post-WebUI llama.cpp) provisions embedded UI assets via npm or the
HF llama-ui bucket; npm is absent here and the bucket download
half-failed, aborting the link at 98%. The API server is unaffected.
All other compile work succeeded with zero errors, confirming the
card's clean-clone claim.
- All 35 flags our serve script passes were verified present in this
tree (`--spec-type`, `--cache-idle-slots`, `--ctx-checkpoints`,
`--reasoning-budget`, `--mmproj`, …).
## Serving Profile
Runtime: charlie12345/ROCmFPX `llama-server` built at
`/home/dank/GitPackages/ROCmFPX/build-qwen38`.
Required flags:
Deployed args (`scripts/frank-default-large.env` — our validated
profile, unchanged from the FAST deployment except the binary and model):
```
llama-server \
@@ -159,8 +187,8 @@ llama-server \
--host 0.0.0.0 --port 7770 --jinja \
--device ROCm0 --gpu-layers 999 \
--fit off --flash-attn on \
--ctx-size 524288 --parallel 2 \
--batch-size 4096 --ubatch-size 4096 \
--ctx-size 401408 --parallel 2 \
--batch-size 4096 --ubatch-size 512 \
--cache-type-k f16 --cache-type-v f16 \
--threads 16 --threads-batch 16 \
--ctx-checkpoints 16 --cache-ram 8192 \
@@ -170,59 +198,57 @@ llama-server \
--reasoning on --reasoning-format deepseek --reasoning-budget -1 \
--chat-template-file chat-template.jinja \
--chat-template-kwargs '{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}' \
--spec-type draft-mtp,ngram-mod \
--model-draft mtp-Qwen3.8-Flash-Next-Q8_0.gguf \
--spec-draft-n-max 4 --spec-draft-p-min 0.75 \
--spec-draft-ngl 999 --spec-draft-device ROCm0 \
--spec-draft-type-k f16 --spec-draft-type-v f16
--mmproj mmproj-Qwen3.8-Flash-Next-f16.gguf
```
Key choices:
- **`--fit off`** — auto-fit code segfaults on this model's qwen4exp
- **`--fit off`** — auto-fit segfaults on this model's qwen4exp
hyper-connection/indexer configuration.
- **mmap (default)** — do NOT use `--no-mmap`. See memory section.
- **`--gpu-layers 999`** — all layers on SVM-backed GPU pool.
- **`--ctx-size 524288`** — above model's max (131072); llama.cpp clamps
internally.
- **`--spec-type draft-mtp,ngram-mod`** — MTP draft head + ngram-mod
fallback. The `ngram-mod` combo is recommended by the HF card; the
prior dense 27B measurement showed ngram under MTP hurt by 4-5 t/s
([[kingjones-strix-mtp]]). Benchmark both before committing.
- **`--spec-draft-p-min 0.75`** — confidence gate. Without it, low-acceptance
prose loses more to rejected drafts than it gains (per the HF card).
- **`--flash-attn on` works unpatched on this model** — verified live
2026-08-30 (graph built, model served). The QSA F16 `ggml_fill`
assert that forced [[agentionai-fast-imatrix]] onto the patched
charlie tree did not fire for the kingjones STRIX file; if a future
build aborts with `GGML_ASSERT(a-type == GGML_TYPE_F32)`, port
`scripts/patches/qwen4exp-qsa-f32-mask.patch` into this tree.
- **`--ctx-size 401408 --parallel 2`** (200704/slot) — carried from the
FAST deployment; the card's own ladder proves the window is nearly
free (QSA caps KV: ~8 GiB total 8k→256k). Verified live at depth:
a 111k-token prompt prefills at ~230 t/s while a second slot decodes.
- **`--ubatch-size 512`** — card re-measurement: -ub 1024/2048/4096
show no effect; 512 is already right on this hardware.
- **`--mmproj`** — the STRIX repo ships no vision tower; the agentionai
FAST package's f16 mmproj (same base model) is paired and loads
(one benign `warmup: CLIP graph uses unsupported operators` warning).
- **No spec flags** — speculative decoding is off; see below.
## MTP Draft Head
## MTP Draft Head — not loadable on this loader family
The MTP (multi-token-prediction) draft head from
The previous draft of this runbook ran
[EasiiX/Qwen3.8-Flash-Next-MTP-Strix-Halo-GGUF](https://huggingface.co/EasiiX/Qwen3.8-Flash-Next-MTP-Strix-Halo-GGUF)
(Q8_0, 4.1 GB). Architecture `qwen4exp`, matching the main model. Loaded
as a separate GGUF sidecar via `--model-draft`.
(Q8_0, 4.1 GB) as `--model-draft`. It does **not** load: the qwen4exp
loader requires a full per-layer `blk.<il>.hc_attn_norm.weight` set and
every Flash-Next-era head carries only `blk.48` (verified 3x against
multiple mains on 2026-08-28/29, see [[agentionai-fast-imatrix]] known
issues). The service therefore runs with no speculative decoding — the
card's own Usage block ships none. The card's published +50% decode
figure was measured with `Aristo94/EngramHalo.cpp`, a fork we do not
build. Revisit only if a head with the complete hyper-connection norm
set (or a loader that tolerates partial draft tensors) appears.
| Field | Value |
|-------|-------|
| File | `mtp-Qwen3.8-Flash-Next-Q8_0.gguf` |
| Size | 4.1 GB (4,137,429,088 B) |
| Quant | Q8_0 |
| Architecture | `qwen4exp` |
| Source | EasiiX/Qwen3.8-Flash-Next-MTP-Strix-Halo-GGUF |
**Measured (HF card, gfx1151, UD-IQ3_XXS target, temp 0):** decode +50% on
code (23.5 → 35.7 t/s, ~85% acceptance), +49% at 156K context depth.
Speculative decoding is lossless at temp 0. Our service runs at temp 0.7,
so expect lower acceptance; the `p_min 0.75` gate compensates.
## Validation (2026-08-30 swap)
**Caveats:**
- The MTP head is from the original `Qwen/Qwen3.8-Flash-Next`; our model is
the "Uncensored" (abliterated) variant. Abliteration modifies a small
number of weight vectors, not the full model — acceptance may be
marginally lower.
- The HF card's tested fork is `Aristo94/EngramHalo.cpp`, not our
`charlie12345/ROCmFPX`. Both have PRs #27739 (MTP) + #27742 (qwen4exp)
merged, so the MTP mechanism is the same upstream code. If the draft
load crashes, check for Strix-Halo kernel patch differences first.
- Set `SPEC_TYPE=none` in `scripts/frank-default-large.env` to disable.
1. Integrity: on-host file `sha256sum` = `c6770d7442a06bf1d78edf28cec83e1ec93afdd34664c23ff898807b6b9349fa`,
byte-identical to the HF LFS oid. No re-download needed.
2. Load: systemd unit healthy; model loaded in ~225 s; health 200.
3. Generation: `/v1/chat/completions` returns correct
`reasoning_content` + content through the Sharp template (deepseek
format, `preserve_reasoning`).
4. Real load: an operator session's ~111k-token prompt prefilled at
213–232 t/s under the new runtime, matching the card's 131k rung
(196 t/s), with checkpoints + QSA KV streaming live.
## Deployment
@@ -241,12 +267,20 @@ curl -fsSL -C - -o "$DIR/Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf" \
The file is 113.47 GiB. Allow ~20-30 minutes for download depending on network.
### Swap procedure
### Swap procedure (as run 2026-08-30)
1. Stop service: `sudo systemctl stop frank-default-large`
2. Remove old model dir: `rm -rf /home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX_LEAN`
3. Start service: `sudo systemctl start frank-default-large`
4. Verify health: `curl http://192.168.0.143:7770/health`
1. Build the runtime (see Runtime build) BEFORE touching the service.
2. Point the model file's directory at the canonical path (a plain `mv`
— never delete a 113 GiB payload to re-fetch it).
3. Edit `scripts/frank-default-large.env` (+ serve script defaults) via
git: commit, push, `./scripts/deploy.sh dankclaw --service
frank-default-large`.
4. Verify health: `curl http://192.168.0.143:7770/health` and a real
`/v1/chat/completions` probe.
Rollback: the FAST deployment is one env commit away (`LLAMA_BIN`,
`MODEL_DIR`, `MODEL_FILE`, `MMPROJ_PATH`); the charlie `build-qwen38`
binary and the agentionai payload remain on disk.
### Config files
@@ -256,8 +290,10 @@ The file is 113.47 GiB. Allow ~20-30 minutes for download depending on network.
## Known Issues
1. **Patched llama.cpp required.** PR #27742 merged into the ROCmFPX fork.
Stock builds reject these files (TYPE_100/101 have no number in stock ggml).
1. **Pinned fork required.** Stock llama.cpp and plain charlie12345/
ROCmFPX each lack half the tree (qwen4exp arch / ROCmFP4 types). Use
kingjones30/ROCmFPX, or the equivalent merged charlie tree
(`/home/dank/GitPackages/ROCmFPX`, PR #27742 commits).
2. **Single-file payload.** Not sharded. Use `hf download` or a resumable
curl. Browser download unreliable for 113 GiB.
3. **Model load is slow.** A few minutes cold for the 113 GiB file with a
@@ -271,6 +307,6 @@ The file is 113.47 GiB. Allow ~20-30 minutes for download depending on network.
- [kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF](https://huggingface.co/kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF)
- [Qwen/Qwen3.8-Flash-Next base model](https://huggingface.co/Qwen/Qwen3.8-Flash-Next)
- [charlie12345/ROCmFPX](https://github.com/charlie12345/ROCmFPX) — fork with PR #27742 (qwen4exp architecture)
- [EasiiX/Qwen3.8-Flash-Next-MTP-Strix-Halo-GGUF](https://huggingface.co/EasiiX/Qwen3.8-Flash-Next-MTP-Strix-Halo-GGUF) — MTP draft head sidecar
- [kingjones30/ROCmFPX](https://github.com/kingjones30/ROCmFPX) — the card's pinned fork (charlie12345/ROCmFPX + [qwen4exp-on-rocmfpx-d3ca537.patch](https://huggingface.co/kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF/resolve/main/qwen4exp-on-rocmfpx-d3ca537.patch), mirrored in the HF repo)
- [charlie12345/ROCmFPX](https://github.com/charlie12345/ROCmFPX) — upstream fork defining the ROCmFP4 formats; our rollback tree with PR #27742 merged
- [llama.cpp PR #27739](https://github.com/ggml-org/llama.cpp/pull/27739) — MTP draft head support
+27
View File
@@ -11,6 +11,33 @@ timestamp: 2026-09-14
# Bundle Change Log
## 2026-08-30 (night) — frank fleet double swap: STRIX on its pinned fork, Huihui on FreeToken
- **Dankclaw / frank-default-large**: swapped to
`kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF` on the card's
pinned `kingjones30/ROCmFPX` runtime (built at
`/home/dank/GitPackages/kingjones-ROCmFPX/build`, `LLAMA_BUILD_WEBUI=OFF`
— npm/HF-bucket asset provisioning aborts the link at 98% otherwise).
On-host 113.47 GiB file verified byte-identical to the HF LFS oid
(no re-download). Kept our args (401408×2, ub 512, fa on, fit off);
fa-on works UNPATCHED on this model — the QSA F32 assert was
agentionai-specific. No spec decode (card ships none; MTP heads
unloadable). Validated live: ~225 s load, health 200, reasoning
completions, real 111k-token prefill at 213–232 t/s. Deployed via
git flow; manual-process race during validation caught and fixed
(unit was crash-looping on a bound port while its health check
passed — check MainPID, not just /health).
- **Dankserver / frank-default-small**: swapped the model within
FreeToken v0.1.2 to `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8`
(native block-fp8, same loader path and pool plan; 35 GB downloaded
via `hf`, official checkpoint retained for rollback). Learned:
FreeToken's chat API 422s without an explicit `model` field. ~40
tok/s verified post-deploy. Both `.service` Descriptions refreshed.
- Docs: [[kingjones-strix-rocmfp4]] reactivated as the large runbook
(runtime build + swap procedure + validation), [[agentionai-fast-imatrix]]
marked RETIRED (rollback record), [[freetoken-frank-default-small]]
model sections updated, LLM index + AGENTS fleet tables refreshed.
## 2026-08-30 (late) — download chain proven end to end; qB credentials persisted
- **Cracked the arr↔Prowlarr feed contract**: route is `/{indexerId}/api`
(Prowlarr `NewznabController`; absolute `/api/v1/indexer/{id}/newznab`),