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SeaWolf-AI commited on Jul 12

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----
-title: VKUE
-emoji: 📈
-colorFrom: purple
-colorTo: purple
-sdk: static
-pinned: false
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

+---
+title: VKUE Efficiency Leaderboard
+emoji: 🌐
+colorFrom: blue
+colorTo: gray
+sdk: static
+pinned: true
+license: apache-2.0
+short_description: Serve frontier-class models on minimal hardware — VKUE
+---
+# VKUE — VIDRAFT Kernel Ubiquitous Engine
+**No GPU? Runs anyway. Everywhere.** VKUE serves frontier-class models on minimal hardware — sibling to **VKAE** (speed). This Space is the **Efficiency Leaderboard**: how little hardware a given quality (GPQA Diamond) actually needs, for 27B+ models.
+Quantized models, benchmark figures, and open-tool run instructions are public. VKUE's engine internals are proprietary; the leaderboard reports only the resulting hardware. Throughput figures are published per config after measurement (generate-format gated). v1 preview.

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-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>

+<!doctype html>
+<html lang="en">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>VKUE — VIDRAFT Kernel Ubiquitous Engine</title>
+<meta name="description" content="VKUE Efficiency Leaderboard — serve frontier-class models on minimal hardware.">
+</head>
+<body>
+<style>
+  :root{
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+  tbody td{padding:14px 16px;border-bottom:1px solid var(--line);vertical-align:middle}
+  tbody tr:last-child td{border-bottom:none}
+  .mname{font-weight:600;font-size:14.5px;display:flex;align-items:center;gap:8px;flex-wrap:wrap}
+  .mname .star{color:var(--star)}
+  .lineage{font-size:11.5px;color:var(--muted);margin-top:3px;font-family:var(--mono)}
+  .gpqa{font-family:var(--mono);font-weight:700;font-size:16px;font-variant-numeric:tabular-nums}
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+  .hw{font-size:12.5px;color:var(--muted);white-space:nowrap}
+  .vkue{font-family:var(--mono);font-weight:600;font-size:13px;color:var(--ink);white-space:nowrap}
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+  @media (max-width:680px){.stats,.cols{grid-template-columns:1fr}}
+</style>
+<div class="wrap">
+  <p class="eyebrow">VIDRAFT · Inference Engine</p>
+  <h1 class="wordmark">VKUE<small>VIDRAFT Kernel Ubiquitous Engine</small></h1>
+  <p class="tagline">No GPU? Runs anyway. <b>Everywhere.</b> The ubiquity engine that serves frontier-class models on minimal hardware.</p>
+  <div class="sibs">
+    <span class="chip"><b>VKAE</b> — Speed · 10K tok/s</span>
+    <span class="chip now"><b>VKUE</b> — Ubiquity · Anywhere</span>
+    <span class="chip">One runs fast. The other runs everywhere.</span>
+  </div>
+  <div class="stats">
+    <div class="stat hero">
+      <div class="n">744B &rarr; 1 GPU</div>
+      <div class="l">Even <b>GLM-5.2</b>-class giants on a single <b>H100</b> (normally 6&ndash;8).</div>
+    </div>
+    <div class="stat">
+      <div class="n">35B &rarr; one card</div>
+      <div class="l">GPQA <b>86&ndash;88%</b> models on a single 24&nbsp;GB GPU &mdash; or <b>no GPU at all</b>.</div>
+    </div>
+    <div class="stat">
+      <div class="n">90.9%</div>
+      <div class="l">Darwin-398B-JGOS top <b>GPQA Diamond</b> (greedy, no test-time engine).</div>
+    </div>
+  </div>
+  <h2>VKUE Efficiency Leaderboard</h2>
+  <p class="h2sub">How little hardware a given quality needs &mdash; <b>27B and up</b>. GPQA values are each model card&rsquo;s posted figure (method noted).</p>
+  <div class="tablecard"><div class="scroll">
+    <table>
+      <thead>
+        <tr>
+          <th>Model</th>
+          <th class="r">GPQA Diamond</th>
+          <th class="r">Size (total / active)</th>
+          <th>Standard HW</th>
+          <th>VKUE Min HW</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr class="hero">
+          <td><div class="mname">GLM-5.2 <span class="tag-hero">SYMBOLIC</span></div><div class="lineage">Z.ai · 744B MoE · frontier</div></td>
+          <td class="r"><div class="gpqa">frontier</div><div class="method">official figure &mdash; citation pending</div></td>
+          <td class="r"><span class="size">744B / 40B</span></td>
+          <td><span class="hw">H100 &times;6&ndash;8 (INT4)</span></td>
+          <td><span class="vkue">H100 &times;1</span> <span class="pill">&asymp; 1/6&ndash;1/8</span><div class="method">capacity verified · speed pending</div></td>
+        </tr>
+        <tr>
+          <td><div class="mname">Darwin-398B-JGOS</div><div class="lineage">Darwin V9 · 397B MoE</div></td>
+          <td class="r"><div class="gpqa">90.9</div><div class="method">greedy · no engine</div></td>
+          <td class="r"><span class="size">397B / 17B</span></td>
+          <td><span class="hw">pure GPU &times;3&ndash;4 (INT4)</span></td>
+          <td><span class="vkue">1 GPU + RAM</span> <span class="pill">available now</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname">Darwin-28B-REASON</div><div class="lineage">Darwin · DELPHI engine</div></td>
+          <td class="r"><div class="gpqa">89.39</div><div class="method">maj · DELPHI engine</div></td>
+          <td class="r"><span class="size">26.9B</span></td>
+          <td><span class="hw">1 GPU</span></td>
+          <td><span class="vkue">24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname">Darwin-28B-Opus</div><div class="lineage">Darwin · 28B</div></td>
+          <td class="r"><div class="gpqa">88.89</div><div class="method">posted figure</div></td>
+          <td class="r"><span class="size">~28B</span></td>
+          <td><span class="hw">1 GPU</span></td>
+          <td><span class="vkue">24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname"><span class="star">&#9733;</span> Darwin-36B-Opus</div><div class="lineage">base &larr; Qwen3.6-35B-A3B</div></td>
+          <td class="r"><div class="gpqa">88.4</div><div class="method">GPQA Diamond</div></td>
+          <td class="r"><span class="size">36B / 3B</span></td>
+          <td><span class="hw">1 GPU (FP8)</span></td>
+          <td><span class="vkue">consumer 24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname">Darwin-27B-Opus</div><div class="lineage">Qwen3.5 · 27.8B</div></td>
+          <td class="r"><div class="gpqa">86.9</div><div class="method">posted figure</div></td>
+          <td class="r"><span class="size">27.8B</span></td>
+          <td><span class="hw">1 GPU</span></td>
+          <td><span class="vkue">24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname"><span class="star">&#9733;</span> Ourbox-35B-JGOS</div><div class="lineage">Darwin-36B derivative · self-measured</div></td>
+          <td class="r"><div class="gpqa">86.4 / 70.7</div><div class="method">maj@8 / greedy (measured)</div></td>
+          <td class="r"><span class="size">35B / 3B</span></td>
+          <td><span class="hw">1 GPU (FP8)</span></td>
+          <td><span class="vkue">consumer 24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr>
+          <td><div class="mname">Darwin-31B-Opus</div><div class="lineage">base &larr; Gemma4-31B · Korean #1</div></td>
+          <td class="r"><div class="gpqa">85.9</div><div class="method">posted figure</div></td>
+          <td class="r"><span class="size">32.7B</span></td>
+          <td><span class="hw">1 GPU</span></td>
+          <td><span class="vkue">consumer 24GB &times;1</span> <span class="pill cpu">CPU-capable</span></td>
+        </tr>
+        <tr class="base">
+          <td><div class="mname">Qwen3.6-35B-A3B</div><div class="lineage">base model · Darwin-36B parent</div></td>
+          <td class="r"><div class="gpqa">&mdash;</div><div class="method">official figure &mdash; pending</div></td>
+          <td class="r"><span class="size">35B / 3B</span></td>
+          <td><span class="hw">1 GPU (FP8)</span></td>
+          <td><span class="vkue">consumer 24GB &times;1</span></td>
+        </tr>
+        <tr class="base">
+          <td><div class="mname">Gemma4-31B</div><div class="lineage">base model · Darwin-31B parent</div></td>
+          <td class="r"><div class="gpqa">&mdash;</div><div class="method">official figure &mdash; pending</div></td>
+          <td class="r"><span class="size">31B</span></td>
+          <td><span class="hw">1 GPU</span></td>
+          <td><span class="vkue">consumer 24GB &times;1</span></td>
+        </tr>
+      </tbody>
+    </table>
+  </div></div>
+  <div class="legend">
+    <div><span class="k">Method labels</span> &middot; <b>greedy</b> = single pass, <b>maj@8</b> = majority of 8 samples, <b>DELPHI</b> = our test-time engine. Different conditions &mdash; not directly comparable.</div>
+    <div><span class="k">VKUE Min HW</span> &middot; INT4, held fully in VRAM or served with little / no GPU. <b>CPU-capable</b> = runs without a GPU (slower) thanks to ~3B active params.</div>
+    <div><span class="k">Throughput (tok/s)</span> &middot; published per config after measurement. Only generate-format&ndash;gated results are shown (no perplexity claims).</div>
+    <div><span class="k">Base models</span> &middot; Qwen3.6-35B / Gemma4-31B are our bases; their GPQA figures will be cited from official sources.</div>
+  </div>
+  <h2>Engine Siblings</h2>
+  <div class="cols">
+    <div class="card a">
+      <p class="t">VKAE &mdash; Speed</p>
+      <p><b>How fast.</b> VIDRAFT-optimized serving pushes single-stream and concurrent throughput to the ceiling &mdash; up to <b>~10,000 tok/s</b> concurrent, <b>+47%</b> on the latest stack.</p>
+    </div>
+    <div class="card b">
+      <p class="t">VKUE &mdash; Ubiquity</p>
+      <p><b>How low the bar.</b> Frontier-class models on minimal hardware &mdash; with <b>little or no GPU</b>. If you have a card, it&rsquo;s fast; if you don&rsquo;t, it still runs. Anywhere.</p>
+    </div>
+  </div>
+  <div class="note">
+    <b>What&rsquo;s open.</b> Quantized models, benchmark figures, and open-tool run instructions are public &mdash; anyone can reproduce the baseline.
+    VKUE&rsquo;s engine internals are proprietary; this leaderboard reports only the resulting hardware, never the how.
+  </div>
+  <footer>
+    <span>FINAL-Bench &middot; VIDRAFT</span>
+    <span>2026 &middot; VKUE v1 preview</span>
+  </footer>
+</div>
+</body>
+</html>