Spaces:
Running
Running
File size: 5,149 Bytes
dfad153 8ba9c90 dfad153 | 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 | <!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>mimo-v2.6-flash (pool) – Local LLM Benchmarks</title>
<link rel="stylesheet" href="../style.css">
</head>
<body>
<header class="top">
<a class="brand" href="../index.html">Local LLM Benchmarks</a>
<nav>
<a href="../index.html">Overview</a>
<a href="../methodology.html">Methodology</a>
</nav>
</header>
<main>
<p class="sub"><a href="../index.html#v3-quick">← Overview</a></p>
<h1>mimo-v2.6-flash (pool)</h1>
<dl class="meta">
<dt>Quantization</dt><dd>FP8 + MXFP4</dd>
<dt>Reasoning</dt><dd>off</dd>
<dt>Profile</dt><dd>quick</dd>
<dt>Suite</dt><dd>v2b</dd>
<dt>Date</dt><dd>2026-09-26 – 2026-09-27</dd>
<dt>Hardware</dt><dd>2× NVIDIA DGX Spark, je 128 GB RAM</dd>
<dt>Inference software</dt><dd>vLLM 0.26.0</dd>
<dt>Measured</dt><dd>directly at the inference server</dd>
<dt>Overall</dt><dd class="strong">59.4</dd>
</dl>
<h2>Categories</h2>
<div class="table-wrap">
<table>
<thead><tr><th>Category</th><th class="num">Score</th></tr></thead>
<tbody>
<tr><td>Knowledge & reasoning</td><td class="num">69.7</td></tr>
<tr><td>Math</td><td class="num">41.6</td></tr>
<tr><td>Instruction following</td><td class="num">49.8</td></tr>
<tr><td>Code</td><td class="num">61.5</td></tr>
<tr><td>German</td><td class="num">74.5</td></tr>
</tbody>
</table>
</div>
<h2>Tasks</h2>
<div class="table-wrap">
<table>
<thead><tr><th>Category</th><th>Task</th><th class="num">Score</th><th class="num">±</th><th class="num">n</th></tr></thead>
<tbody>
<tr>
<td>Knowledge & reasoning</td>
<td>mmlu_pro</td>
<td class="num">82.0</td>
<td class="num">± 2.2</td>
<td class="num">300</td>
</tr>
<tr>
<td>Knowledge & reasoning</td>
<td>gpqa_diamond_gen</td>
<td class="num">68.7</td>
<td class="num">± 3.3</td>
<td class="num">198</td>
</tr>
<tr>
<td>Knowledge & reasoning</td>
<td>musr_gen</td>
<td class="num">58.4</td>
<td class="num">± 3.1</td>
<td class="num">250</td>
</tr>
<tr>
<td>Math</td>
<td>omni_math_gen</td>
<td class="num">41.6</td>
<td class="num">± 3.1</td>
<td class="num">250</td>
</tr>
<tr>
<td>Instruction following</td>
<td>ifbench</td>
<td class="num">37.0</td>
<td class="num">± 2.8</td>
<td class="num">300</td>
</tr>
<tr>
<td>Instruction following</td>
<td>ifeval</td>
<td class="num">88.7</td>
<td class="num">± 2.6</td>
<td class="num">150</td>
</tr>
<tr>
<td>Code</td>
<td>livecodebench_gen</td>
<td class="num">61.5</td>
<td class="num">± 3.4</td>
<td class="num">200</td>
</tr>
<tr>
<td>German</td>
<td>mmlu_prox_de</td>
<td class="num">78.7</td>
<td class="num">± 2.4</td>
<td class="num">300</td>
</tr>
<tr>
<td>German</td>
<td>include_de_gen</td>
<td class="num">66.2</td>
<td class="num">± 3.8</td>
<td class="num">154</td>
</tr>
</tbody>
</table>
</div>
<p class="hint">± is the standard error; the 95% interval spans roughly 1.96 standard errors around the score.</p>
<h2>Speed</h2>
<div class="table-wrap">
<table>
<thead><tr><th>Measure</th><th class="num">Context (target)</th><th class="num">Context (actual)</th><th class="num">Median</th><th class="num">p10</th><th class="num">p90</th><th class="num">n</th></tr></thead>
<tbody>
<tr>
<td>Generation [t/s]</td>
<td class="num">–</td>
<td class="num">–</td>
<td class="num">27.1</td>
<td class="num">25.4</td>
<td class="num">28.2</td>
<td class="num">5</td>
</tr>
<tr>
<td>Prompt processing [t/s]</td>
<td class="num">512</td>
<td class="num">525</td>
<td class="num">959.7</td>
<td class="num">957.4</td>
<td class="num">966.7</td>
<td class="num">5</td>
</tr>
<tr>
<td>Prompt processing [t/s]</td>
<td class="num">4096</td>
<td class="num">4024</td>
<td class="num">2177.6</td>
<td class="num">2132.8</td>
<td class="num">2178.6</td>
<td class="num">5</td>
</tr>
<tr>
<td>Prompt processing [t/s]</td>
<td class="num">16384</td>
<td class="num">16036</td>
<td class="num">2097.1</td>
<td class="num">2093.4</td>
<td class="num">2106.5</td>
<td class="num">5</td>
</tr>
<tr>
<td>Time to first token [ms]</td>
<td class="num">512</td>
<td class="num">525</td>
<td class="num">546.0</td>
<td class="num">543.1</td>
<td class="num">548.4</td>
<td class="num">5</td>
</tr>
<tr>
<td>Time to first token [ms]</td>
<td class="num">4096</td>
<td class="num">4024</td>
<td class="num">1847.9</td>
<td class="num">1847.0</td>
<td class="num">1887.0</td>
<td class="num">5</td>
</tr>
<tr>
<td>Time to first token [ms]</td>
<td class="num">16384</td>
<td class="num">16036</td>
<td class="num">7646.6</td>
<td class="num">7612.6</td>
<td class="num">7660.1</td>
<td class="num">5</td>
</tr>
</tbody>
</table>
</div>
<p class="hint">Measured directly at the inference server.</p>
<footer class="page-foot">As of 2026-10-10 · scores 0–100 · built with <code>bench publish</code></footer>
</main>
<script src="../chart.umd.min.js"></script>
<script src="../app.js"></script>
</body>
</html>
|