Hugging Face's logo

Spaces:
FINAL-Bench
/
VKUE
Running

App Files Community
VKUE
File size: 17,721 Bytes
2fc4834
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
<!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{
    --ground:#F4F7F7; --panel:#FFFFFF; --ink:#0B1418; --muted:#5B6B70;
    --line:#D7E0E1; --accent:#0E8C9E; --accent-soft:#E2F4F6; --hero:#B0791A;
    --hero-soft:#FBF1DE; --good:#1F8A5B; --good-soft:#E4F3EC; --star:#0E8C9E;
    --mono:ui-monospace,"SFMono-Regular","Cascadia Code","Consolas",monospace;
    --sans:-apple-system,BlinkMacSystemFont,"Segoe UI","Apple SD Gothic Neo","Malgun Gothic",Roboto,sans-serif;
  }
  @media (prefers-color-scheme:dark){
    :root{
      --ground:#0B1418; --panel:#111E23; --ink:#E6EFF0; --muted:#8CA1A6;
      --line:#22343A; --accent:#22B8CF; --accent-soft:#0F2A31; --hero:#E0A83E;
      --hero-soft:#2A2113; --good:#43D08A; --good-soft:#10281D; --star:#22B8CF;
    }
  }
  :root[data-theme="light"]{
    --ground:#F4F7F7; --panel:#FFFFFF; --ink:#0B1418; --muted:#5B6B70;
    --line:#D7E0E1; --accent:#0E8C9E; --accent-soft:#E2F4F6; --hero:#B0791A;
    --hero-soft:#FBF1DE; --good:#1F8A5B; --good-soft:#E4F3EC; --star:#0E8C9E;
  }
  :root[data-theme="dark"]{
    --ground:#0B1418; --panel:#111E23; --ink:#E6EFF0; --muted:#8CA1A6;
    --line:#22343A; --accent:#22B8CF; --accent-soft:#0F2A31; --hero:#E0A83E;
    --hero-soft:#2A2113; --good:#43D08A; --good-soft:#10281D; --star:#22B8CF;
  }
  *{box-sizing:border-box}
  body{margin:0;background:var(--ground);color:var(--ink);font-family:var(--sans);
    line-height:1.5;-webkit-font-smoothing:antialiased}
  .wrap{max-width:1060px;margin:0 auto;padding:clamp(20px,4vw,52px) clamp(16px,4vw,40px)}
  .eyebrow{font-family:var(--mono);font-size:12px;letter-spacing:.22em;text-transform:uppercase;
    color:var(--accent);margin:0 0 14px}
  .wordmark{font-family:var(--mono);font-weight:700;font-size:clamp(38px,8vw,68px);
    letter-spacing:-.01em;margin:0;line-height:.98;text-wrap:balance}
  .wordmark small{color:var(--muted);font-weight:400;font-size:.30em;letter-spacing:.02em;display:block;margin-top:12px}
  .tagline{font-size:clamp(17px,2.4vw,22px);color:var(--ink);margin:18px 0 0;max-width:52ch;text-wrap:balance}
  .tagline b{color:var(--accent)}
  .sibs{display:flex;flex-wrap:wrap;gap:10px;margin-top:22px}
  .chip{font-family:var(--mono);font-size:12.5px;padding:7px 13px;border:1px solid var(--line);
    border-radius:999px;color:var(--muted);background:var(--panel)}
  .chip b{color:var(--ink)}
  .chip.now{border-color:var(--accent);color:var(--accent)}
  .chip.link{text-decoration:none;cursor:pointer;transition:border-color .15s,color .15s}
  .chip.link:hover{border-color:var(--accent);color:var(--accent)}
  .card a.tlink{text-decoration:none}
  .card a.tlink:hover{text-decoration:underline}

  .stats{display:grid;grid-template-columns:repeat(auto-fit,minmax(198px,1fr));gap:14px;margin:36px 0 8px}
  .stat{background:var(--panel);border:1px solid var(--line);border-radius:14px;padding:20px 18px}
  .stat .n{font-family:var(--mono);font-size:clamp(23px,3.8vw,32px);font-weight:700;letter-spacing:-.02em;
    color:var(--accent);font-variant-numeric:tabular-nums}
  .stat.hero .n{color:var(--hero)}
  .stat .l{font-size:13.5px;color:var(--muted);margin-top:7px}
  .stat .l b{color:var(--ink);font-weight:600}

  h2{font-size:13px;font-family:var(--mono);letter-spacing:.14em;text-transform:uppercase;
    color:var(--muted);margin:44px 0 4px;font-weight:600}
  .h2sub{font-size:14px;color:var(--muted);margin:0 0 16px}
  .h2sub b{color:var(--ink)}

  .tablecard{background:var(--panel);border:1px solid var(--line);border-radius:16px;overflow:hidden}
  .scroll{overflow-x:auto}
  table{border-collapse:collapse;width:100%;min-width:800px;font-size:14px}
  thead th{font-family:var(--mono);font-size:11px;letter-spacing:.08em;text-transform:uppercase;
    color:var(--muted);text-align:left;padding:14px 16px;border-bottom:1px solid var(--line);font-weight:600;white-space:nowrap}
  thead th.r,tbody td.r{text-align:right}
  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}
  .method{font-size:10.5px;color:var(--muted);margin-top:2px;letter-spacing:.01em}
  .size{font-family:var(--mono);font-size:12.5px;color:var(--muted);font-variant-numeric:tabular-nums;white-space:nowrap}
  .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}
  .pill{display:inline-block;font-family:var(--mono);font-size:11px;padding:3px 9px;border-radius:999px;
    background:var(--accent-soft);color:var(--accent);border:1px solid transparent;white-space:nowrap}
  .pill.cpu{background:var(--good-soft);color:var(--good)}
  tr.hero td{background:var(--hero-soft)}
  tr.hero .gpqa,tr.hero .vkue{color:var(--hero)}
  tr.hero .pill{background:transparent;border-color:var(--hero);color:var(--hero)}
  tr.base td{opacity:.72}
  .tag-hero{font-family:var(--mono);font-size:10px;padding:2px 7px;border-radius:5px;background:var(--hero);
    color:#0B1418;font-weight:700;letter-spacing:.04em}

  .legend{display:grid;grid-template-columns:repeat(auto-fit,minmax(240px,1fr));gap:10px 24px;
    margin-top:20px;font-size:12.5px;color:var(--muted)}
  .legend div b{color:var(--ink);font-weight:600}
  .legend .k{font-family:var(--mono);color:var(--accent)}

  .cols{display:grid;grid-template-columns:1fr 1fr;gap:14px;margin-top:16px}
  .card{background:var(--panel);border:1px solid var(--line);border-radius:14px;padding:22px}
  .card .t{font-family:var(--mono);font-weight:700;font-size:15px;margin:0 0 4px}
  .card.a .t{color:var(--hero)} .card.b .t{color:var(--accent)}
  .card p{margin:8px 0 0;font-size:13.5px;color:var(--muted)}
  .card p b{color:var(--ink)}
  .note{margin-top:16px;padding:14px 16px;border:1px dashed var(--line);border-radius:12px;
    font-size:12.5px;color:var(--muted);background:var(--panel)}
  .note b{color:var(--ink)}
  footer{margin-top:40px;padding-top:20px;border-top:1px solid var(--line);
    font-size:12px;color:var(--muted);font-family:var(--mono);display:flex;justify-content:space-between;flex-wrap:wrap;gap:8px}
  @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">
    <a class="chip link" href="https://huggingface.co/spaces/VIDraft/vkae" target="_blank" rel="noopener"><b>VKAE</b> — Speed &#8599;</a>
    <span class="chip now"><b>VKUE</b> — Ubiquity · Anywhere</span>
    <a class="chip link" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-Demo" target="_blank" rel="noopener"><b>&#9654; Live: GPU vs CPU</b> &#8599;</a>
    <a class="chip link" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-CPU" target="_blank" rel="noopener"><b>&#9654; Live: CPU-only</b> &#8599;</a>
    <a class="chip link" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-FreeCPU" target="_blank" rel="noopener"><b>&#9654; Live: FREE CPU</b> &#8599;</a>
  </div>

  <div class="stats">
    <div class="stat hero">
      <div class="n">18,057 tok/s</div>
      <div class="l">Ourbox-35B on a <b>single B200</b> &mdash; VKAE speed ceiling. <b>Measured</b>, aggregate.</div>
    </div>
    <div class="stat">
      <div class="n">20 tok/s</div>
      <div class="l"><b>Same model</b> on an <b>8&nbsp;GB laptop</b> &mdash; VKUE ubiquity floor. <b>Measured</b>, 3.7&times; a dense 32B.</div>
    </div>
    <div class="stat">
      <div class="n">FREE CPU</div>
      <div class="l"><b>34.7B</b> on HuggingFace&rsquo;s <b>free public CPU space</b> (2&nbsp;vCPU) &mdash; <b>~6-7 tok/s</b>, zero cost. <a class="tlink" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-FreeCPU" target="_blank" rel="noopener" style="color:var(--accent)">Try it &#8599;</a></div>
    </div>
    <div class="stat">
      <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">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 class="hero">
          <td><div class="mname"><span class="star">&#9733;</span> Ourbox-35B-JGOS <span class="tag-hero">MEASURED</span></div><div class="lineage">Darwin-36B derivative · <a href="https://huggingface.co/FINAL-Bench/Ourbox-35B-JGOS-GGUF" style="color:inherit">GGUF ↗</a></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">A10G 126 &middot; CPU 17 tok/s</span> <a class="pill cpu" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-Demo" target="_blank" rel="noopener" style="text-decoration:none">live demo &#8599;</a><div class="method">live measured &middot; also 8GB laptop 20 tok/s (3.7&times; dense 32B)</div></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; Ourbox-35B measured: <b>18,057</b> aggregate on B200 (<a class="tlink" href="https://huggingface.co/spaces/VIDraft/vkae" target="_blank" rel="noopener" style="color:var(--accent)">VKAE &#8599;</a>) / <b>126</b> on one A10G &amp; <b>17</b> on a GPU-less CPU box (<a class="tlink" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-Demo" target="_blank" rel="noopener" style="color:var(--accent)">live demo &#8599;</a>) / <b>20</b> on an 8GB laptop. All single-stream, generate-format&ndash;gated.</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"><a class="tlink" href="https://huggingface.co/spaces/VIDraft/vkae" target="_blank" rel="noopener" style="color:inherit">VKAE &mdash; Speed &#8599;</a></p>
      <p><b>How fast.</b> VIDRAFT-optimized serving pushes throughput to the ceiling &mdash; Ourbox-35B <b>measured at 18,057 tok/s</b> aggregate on a single <b>B200</b>. <a class="tlink" href="https://huggingface.co/spaces/VIDraft/vkae" target="_blank" rel="noopener" style="color:var(--accent)">Open the Speed leaderboard &#8599;</a></p>
    </div>
    <div class="card b">
      <p class="t"><a class="tlink" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-Demo" target="_blank" rel="noopener" style="color:inherit">VKUE &mdash; Ubiquity &#8599;</a></p>
      <p><b>How low the bar.</b> Same 34.7B model, minimal hardware &mdash; <b>live measured 126 tok/s on one A10G</b> vs <b>17 tok/s on a GPU-less CPU box</b> (identical weights, only the hardware differs), and <b>20 tok/s</b> on an 8&nbsp;GB laptop. If you have a card it&rsquo;s fast; if you don&rsquo;t, it still runs. <a class="tlink" href="https://huggingface.co/spaces/FINAL-Bench/Ourbox-35B-VKUE-Demo" target="_blank" rel="noopener" style="color:var(--accent)">Try the live GPU&nbsp;vs&nbsp;CPU demo &#8599;</a></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>