Files
serverAppConfigs/serverAppConfigs-docs/LLM/frank-medium-model-swap.md
T
Frank c1a4ccbbcd feat(frank-medium): swap MXFP4 -> FP8; add the one-command swap toolchain
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.
2026-09-20 21:53:00 -07:00

7.9 KiB
Raw Blame History

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.
frank-medium
dankserver
model-swap
vllm-radiance
huggingface
runbook
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 reads quantization_config.quant_method from the checkpoint's config.json and 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:

  1. Manifest — hf-manifest.py lists the repo tree and writes scripts/frank-medium-<name>.manifest (committed, so the payload is reproducible). Pass --manifest <path> to reuse an existing one.
  2. Download — stages the manifest + hf-fetch.sh on the host and fetches to --target. Resumable: an interrupted swap re-runs and skips what is already verified.
  3. Detect — reads quantization_config.quant_method from the downloaded config.json and maps it to the serving shape (below).
  4. Apply — edits the quadlet's four env vars (SNAP, SPEC_METHOD, SPEC, KV_MEM).
  5. 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 with calibrate-kv.sh to 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 content and reasoning (vLLM emits the reasoning field; the harness auto-detects it).
  • MTP speculation: the boot log's SpecDecoding metrics line shows a mean acceptance length > 1 (the 2026-09-20 FP8 swap measured 5.66/8, 66.2% draft acceptance).
  • Tool calls: a tools request returns tool_calls.
  • Vision: an image request is answered (the FP8 checkpoint serves vision despite language_model_only: true in config.json).

Rollback

The previous checkpoint stays on disk (a swap never deletes it). To roll back:

  1. Point the quadlet at the old checkpoint (SNAP, SPEC_METHOD, SPEC — the old values are in git history).
  2. deploy.sh dankserver --service frank-medium --skip-e2e.
  3. 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_ATTN path vs R4D).