Checkpoint: just1moremodel/Qwen3.8-27B-Uncensored-MXFP4-awq -> orcarouter/Qwen3.8-27B-Uncensored-FP8 (FP8 E4M3 block-wise, 30.9 GB / 7 shards, its own single-layer MTP head). The quantization-aware entrypoint serves the plain FP8 path: --quantization fp8, ROCM_AITER_UNIFIED_ATTN, MTP self-speculation (SPEC_METHOD=mtp, SPEC=8). Measured: MTP mean accept 5.66/8 (66.2% draft acceptance), KV pool auto-sized to 461,540 tokens (1.76x), battery 85.9 t/s decode / 0.06 s TTFT / 179.7 burst-4 (vs MXFP4 92.4/0.22/ 248.9). MXFP4 checkpoint stays on disk as the rollback target. Streamlining: scripts/hf-manifest.py (generate a <filename> <size> <sha256> manifest from the live repo tree), scripts/hf-fetch.sh (resumable, byte + sha256 verified, idempotent fetch), scripts/swap-frank-medium.sh (generate manifest -> download -> detect quantization -> edit the quadlet -> deploy). Docs: new frank-medium-model-swap runbook; radiance runbook, both indexes, AGENTS.md, and log.md flipped to the FP8 shape.
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type, title, description, tags, timestamp
| type | title | description | tags | timestamp | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| runbook | frank-medium Model Swap | How to swap the checkpoint behind the frank-medium endpoint (Dankserver :7770, vllm-radiance TP=2) — the streamlining toolchain (hf-manifest.py, hf-fetch.sh, swap-frank-medium.sh), the quantization-aware entrypoint contract, the quadlet edit, the deploy, the capability battery, and the rollback path. |
|
2026-09-20 |
frank-medium Model Swap
Swapping the checkpoint behind frank-medium (Dankserver :7770,
vllm-radiance TP=2) is a four-step process, and the toolchain below drives all
of it. The design goal (2026-09-20, after the MXFP4 → FP8 swap) is that a swap
is one command: generate a manifest, download it verified, point the
quadlet at it, deploy. The entrypoint is quantization-aware, so the only repo
change a swap makes is the quadlet's four env vars.
Why this exists
The 2026-09-20 MXFP4 → FP8 swap took most of a day, and the long pole was not the GPU — it was the download (30.9 GB across 7 shards, hand-verified) and the serving-path decision (which attention backend, which drafter, which quantization flag). Both are now mechanical:
- The download is
hf-fetch.sh— resumable, byte-count + sha256-verified, idempotent (a re-run only fetches what is missing or corrupt). - The serving path is the quantization-aware entrypoint
(
dankserver/frank-medium/radiance-entrypoint.sh) — it readsquantization_config.quant_methodfrom the checkpoint'sconfig.jsonand picks the path. The swap operator never chooses it by hand.
The toolchain
| Tool | Role |
|---|---|
scripts/hf-manifest.py |
Generate a fetch manifest from a live HF repo tree: <filename> <size> <sha256-or-blank> per line. LFS sha256s come from the resolve endpoint's X-Linked-ETag; non-LFS files get a blank hash (size-only check). |
scripts/hf-fetch.sh |
Fetch a manifest to a dir, resumable (curl -C -), verified (byte count + sha256), idempotent. Token out-of-band via a mode-600 curl -K file. |
scripts/swap-frank-medium.sh |
The orchestrator: generate manifest → download → detect quantization → edit the quadlet → deploy. |
The HF token is resolved on the host (dankserver) from $HF_TOKEN,
~/.cache/huggingface/token, or the llamaswap conf. Gated repos need a token
that has been granted access (the 2026-09-20 FP8 swap needed a one-time grant
for orcarouter/Qwen3.8-27B-Uncensored-FP8).
The swap (one command)
scripts/swap-frank-medium.sh \
--repo <owner/repo> \
--target /home/dank/models/<name> \
--generate-manifest \
--apply \
--deploy
What it does, in order:
- Manifest —
hf-manifest.pylists the repo tree and writesscripts/frank-medium-<name>.manifest(committed, so the payload is reproducible). Pass--manifest <path>to reuse an existing one. - Download — stages the manifest +
hf-fetch.shon the host and fetches to--target. Resumable: an interrupted swap re-runs and skips what is already verified. - Detect — reads
quantization_config.quant_methodfrom the downloadedconfig.jsonand maps it to the serving shape (below). - Apply — edits the quadlet's four env vars (
SNAP,SPEC_METHOD,SPEC,KV_MEM). - Deploy —
deploy.sh dankserver --service frank-medium --skip-e2e(pull, restart, health gate, up to 1800 s — the first start compiles kernels).
Without --apply the script stops after the download + detection and prints
the quadlet lines to set, so you can eyeball them before committing.
Quantization → serving path
The entrypoint (radiance-entrypoint.sh) reads quant_method and branches:
quant_method |
Path | Attention | Speculation | Drafter |
|---|---|---|---|---|
fp8 |
plain FP8 | ROCM_AITER_UNIFIED_ATTN |
MTP self-speculation (--quantization fp8) |
the model's own MTP head (mtp.layers.0) |
mxfp4 / quark / empty |
MXFP4 | R4D (if R4D_ATTN=1) |
DFlash2 external drafter | /models/Qwen3.8-27B-DFlash2-FP8 |
The quadlet SPEC_METHOD/SPEC the swap script sets must match the path:
fp8 → mtp/8, mxfp4|quark → dflash/7. The FP8 model carries its own
single-layer MTP head (22 tensors), so MTP self-speculation needs no external
drafter and no fp8_mtp.py rewrite. The MXFP4 path applies the
radiance-vllm-mxfp4 patches at every container start and uses the DFlash2
drafter.
R4D allreduce is independent of the weight quantization. The FP8 path
uses ROCM_AITER_UNIFIED_ATTN (the documented plain-FP8 default); R4D can be
tried later for a speed bump (R4D_ATTN=1), but the MXFP4 path is the one
tested with it.
The quadlet contract
A swap edits exactly four env vars in
dankserver/frank-medium/quadlet/frank-medium.container:
SNAP=/models/<name>— the container path (the host dir/home/dank/models/<name>is mounted at/models).SPEC_METHOD=mtp|dflash— the speculative-decoding method.SPEC=8|7— the speculative depth.KV_MEM=0— the KV pool pin in MiB;0= auto-size (the documented plain-FP8 default). After the first healthy start, recalibrate withcalibrate-kv.shto use the extra VRAM on the 34.2 GiB cards.
The deploy handler (deploy-remote.sh deploy_llm_medium) reads SNAP and
SPEC_METHOD from the quadlet (the source of truth), maps /models/ →
/home/dank/models/, and gates on the right assets: the drafter only for
dflash, r4d.so only for mxfp4/quark. So a swap that points the quadlet
at a new checkpoint is enough — the handler follows.
Verify (capability battery)
After the deploy is green, run the battery (read-only — it does not stop the service):
python3 scripts/bench-conversation.py http://192.168.0.235:7770 \
--model frank-medium --salt <name> --max-tokens 512 --burst 4
Then the capability checks (all must pass):
/health→ 200,/v1/models→frank-medium.- A chat completion returns
contentand reasoning (vLLM emits thereasoningfield; the harness auto-detects it). - MTP speculation: the boot log's
SpecDecoding metricsline shows a mean acceptance length > 1 (the 2026-09-20 FP8 swap measured 5.66/8, 66.2% draft acceptance). - Tool calls: a
toolsrequest returnstool_calls. - Vision: an image request is answered (the FP8 checkpoint serves vision
despite
language_model_only: trueinconfig.json).
Rollback
The previous checkpoint stays on disk (a swap never deletes it). To roll back:
- Point the quadlet at the old checkpoint (
SNAP,SPEC_METHOD,SPEC— the old values are in git history). deploy.sh dankserver --service frank-medium --skip-e2e.- Re-run the capability battery.
The 2026-09-20 rollback target is the MXFP4 checkpoint at
/home/dank/models/Qwen3.8-27B-Uncensored-MXFP4-awq (19.37 GiB single
safetensors) with SPEC_METHOD=dflash, SPEC=7.
2026-09-20 swap record (MXFP4 → FP8)
- Model:
just1moremodel/Qwen3.8-27B-Uncensored-MXFP4-awq(MXFP4, 19.37 GiB) →orcarouter/Qwen3.8-27B-Uncensored-FP8(FP8 E4M3 block-wise 128×128, dynamic activation quant, 30.9 GB / 7 shards). - Serving path: DFlash2 external drafter → MTP self-speculation
(
SPEC_METHOD=mtp,SPEC=8);R4D→ROCM_AITER_UNIFIED_ATTN. - MTP: mean acceptance length 5.66/8, 66.2% draft acceptance, per-position rates 0.89 → 0.41.
- KV pool: auto-sized to 461,540 tokens (1.76× full-window) — smaller than MXFP4's 943,581 because FP8 weights are bigger (30.9 vs 19.4 GiB).
- Battery (vs MXFP4 baseline): geomean decode 85.9 vs 92.4 t/s (−7%),
mean TTFT 0.06 vs 0.22 s (3.7× faster), geomean prefill 1097 vs ~1490 t/s
(−27%), burst-4 aggregate 179.7 vs 248.9 t/s (−28%). The trade-off is the
expected one: higher precision (8-bit vs 4-bit weights), decode within 7%,
TTFT much faster, prefill/burst slower (the
ROCM_AITER_UNIFIED_ATTNpath vs R4D).