homepage: sectioned panels, WIP open/closed, current model facts, Tautulli card

Both pages now group their panels under section headings rendered by shared
renderSection()/renderPanel() components in app.js (SECTION_ORDER fixes each
page's order: user = AI, Web Apps, Media Library Apps; admin = Media Library
Apps, Observability, AI, Infrastructure). The WIP badge splits into WIP: OPEN
and WIP: CLOSED via the wip value ("open"/"closed"); the checker passes the
value through as wip-open/wip-closed. The frank-large card follows the
unsloth llama.cpp cutover, frank-medium follows the FP8 checkpoint, and the
/docs model guide matches. Tautulli (Plex statistics, 192.168.0.235:8181)
joins the admin page's Media Library Apps section with an open link.

shared/homepage/docs.html

@@ -47,9 +47,9 @@
 
   <h2>frank-large — the big brain</h2>
   <ul>
-    <li><strong>Model:</strong> Qwen3.8-Flash CIRU-STRIX-Orca, served by CIRU v4.4.1 llama.cpp with the model's own MTP draft head.</li>
+    <li><strong>Model:</strong> Qwen3.8-Flash-Next UD-IQ4_XS, served by unsloth llama.cpp with the model's own MTP draft head (depth 2).</li>
     <li><strong>Hardware:</strong> Dankclaw's Strix Halo iGPU (gfx1151), shared with the whole host.</li>
-    <li><strong>Best for:</strong> long, thoughtful text conversations at the model's full trained window.</li>
+    <li><strong>Best for:</strong> long, thoughtful text conversations at a 200k-token window.</li>
     <li><strong>Capacity:</strong> exactly one conversation resident at a time. A second waits — politely, but it waits.</li>
     <li><strong>Not for:</strong> images. It cannot see them.</li>
   </ul>
@@ -64,7 +64,7 @@
 
   <h2>frank-medium — the 27B generalist</h2>
   <ul>
-    <li><strong>Model:</strong> Qwen3.8-27B-Uncensored at MXFP4, on vllm-radiance with a DFlash2 draft head.</li>
+    <li><strong>Model:</strong> Qwen3.8-27B-Uncensored at FP8, 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. It can see pictures too; <code>frank-small</code> is the faster eye and holds four conversations.</li>