feat(frank-medium): cut the endpoint over to radiance TP=2

The conversation battery (scripts/bench-conversation.py, salted, same 10
prompts, 2026-09-20) measured three arms on the two R9700s:

  arm I  llama.cpp layer split 32:33 + DFlash2, Q8_0  geo decode  45.7 t/s, TTFT 0.72 s, burst-4  71.7 t/s
  arm L  llama.cpp tensor split 1:1 (RCCL), no drafter geo decode 30.5 t/s, TTFT 0.71 s, burst-4  54.3 t/s
  arm R  radiance vLLM TP=2 + DFlash2-FP8, MXFP4      geo decode  95.8 t/s, TTFT 0.21 s, burst-4 259.4 t/s

Radiance wins every axis, so it takes the alias. The board swap is what made
arm R possible: TP=2 was archived on 2026-09-16 because the second card sat
behind B650 chipset bridges with AtomicOpsCap: Routing-, and the ProArt
B850-Creator put both cards on CPU GPP root ports (Gen5 x8, Routing+, ReqEn+).
The R4D one-shot all-reduce needs no RCCL collective anyway.

  - un-retire dankserver/frank-medium/: the TP=2 quadlet (banner rewritten —
    it is the deployed shape now), radiance-entrypoint.sh, the healthcheck.
    The replica pair and its affinity proxy stay archived; one process owns
    both cards now.
  - retire scripts/frank-medium.{service,env} + serve-frank-medium.sh and
    bench-spec-ab.py to scripts/.AGENTTRASH/20260920-llama-layersplit/ as the
    rollback path. build-llama-rdna4.sh and download-frank-medium-gguf.sh
    stay: they are the tooling that rollback needs.
  - deploy-remote.sh: deploy_llm_medium now gates on the image (pull once,
    re-tag to the localhost name the quadlet resolves), the MXFP4 checkpoint,
    the drafter, the pinned patch clone and the patched libr4d; retires the
    llama root unit into the home trash instead of relinking it; then
    install_quadlet + wait_container_healthy 1800s (first start compiles).
    retire_vllm_medium_quadlets becomes retire_vllm_replica_quadlets — the
    a/b/proxy trio only, since frank-medium is installed again.
  - planner + test-changed map dankserver/frank-medium/** to frank-medium
    and its seam; the scripts-trio mapping is gone with the files.
  - tests/frank_medium_unit.bats rewritten for the container contract: boot
    persistence of a GENERATED unit (no enable on this host's v1 generator),
    TP=2 with the atomics-era NCCL workarounds kept out, the DFlash2 depth vs
    the MXFP4 decode-kernel row band, the KV pin's coupling to the shape it
    was calibrated at plus pool/VRAM arithmetic, the endpoint/tool/reasoning
    contract, and the archive invariants.
  - homepage card + docs updated, and they were stale twice over: they still
    described the ajgazin Swift 35:30 / 393k payload, not the deployed shape.

Known regression, documented in the unit: vision. The MXFP4 checkpoint is
language_model_only and the launcher loads no projector, so images are a 400
here; the harness's vision role already routes to frank-small.

shared/homepage/docs.html

@@ -64,10 +64,10 @@
 
   <h2>frank-medium — the 27B generalist</h2>
   <ul>
-    <li><strong>Model:</strong> Swift-Qwen3.8-27B-Uncensored at UD-Q8_K_XL, with its own MTP head, on mainline llama.cpp.</li>
-    <li><strong>Hardware:</strong> Dankserver's two Radeon R9700s, one process split 35:30 across the cards.</li>
-    <li><strong>Best for:</strong> general chat and reasoning when the big brain is busy; the biggest pure-language model we run.</li>
-    <li><strong>Capacity:</strong> 393k-token context over two conversations. Also sees images (BF16 projector).</li>
+    <li><strong>Model:</strong> Qwen3.8-27B-Uncensored at MXFP4, on vllm-radiance with a DFlash2 draft head.</li>
+    <li><strong>Hardware:</strong> Dankserver's two Radeon R9700s as ONE tensor-parallel engine (TP=2).</li>
+    <li><strong>Best for:</strong> general chat and reasoning when the big brain is busy; the biggest pure-language model we run, and the fastest we have measured.</li>
+    <li><strong>Capacity:</strong> 262k-token context, shared by up to eight conversations at once. Text only — pictures go to <code>frank-small</code>.</li>
   </ul>
 
   <p class="foot-note">Which one to pick? Screenshots and photos: <code>frank-small</code>.

shared/homepage/services.json

@@ -244,7 +244,7 @@
   {
     "name": "frank-medium",
     "category": "user",
-    "description": "The 27B generalist. ajgazin Swift-Qwen3.8-27B-Uncensored at UD-Q8_K_XL with its own MTP head, mainline llama.cpp in one 35:30 layer-split process across Dankserver's two R9700s, 393k-token context.",
+    "description": "The 27B generalist. Qwen3.8-27B-Uncensored at MXFP4 on vllm-radiance, one tensor-parallel process across Dankserver's two R9700s with a DFlash2 drafter; 262k-token context shared by up to eight conversations.",
     "url": "",
     "docs": "/docs#models",
     "probe": "192.168.0.235:7770",