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21a9039 9530654 21a9039 | 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 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>llm-bench.io — Local LLM Leaderboard</title>
<meta name="description" content="Live leaderboard of local LLMs benchmarked on real hardware — quality, speed, and VRAM requirements. Powered by llm-bench.io.">
<style>
:root{
--bg:#0b0e14; --panel:#11151f; --panel2:#161b28; --border:#232a3b;
--text:#e8ecf4; --muted:#8b94a7; --accent:#5b8cff; --accent2:#7c5bff;
--good:#4ade80; --mid:#facc15; --bad:#f87171;
}
*{box-sizing:border-box;margin:0;padding:0}
body{background:var(--bg);color:var(--text);font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,Helvetica,Arial,sans-serif;line-height:1.5;padding:24px 16px 60px}
.wrap{max-width:1180px;margin:0 auto}
header{display:flex;align-items:baseline;gap:12px;flex-wrap:wrap;margin-bottom:6px}
h1{font-size:24px;font-weight:700}
h1 .dot{color:var(--accent)}
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.chip{background:var(--panel);border:1px solid var(--border);color:var(--muted);border-radius:999px;padding:5px 12px;font-size:12.5px;cursor:pointer;user-select:none;transition:all .15s}
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.chip.active{background:var(--accent);border-color:var(--accent);color:#fff}
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.search::placeholder{color:var(--muted)}
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tr:hover td{background:rgba(91,140,255,.05)}
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.model-name{font-weight:600;color:var(--text);overflow:hidden;text-overflow:ellipsis}
.model-hw{color:var(--muted);font-size:11.5px;overflow:hidden;text-overflow:ellipsis}
.vram{color:var(--accent2);font-weight:600}
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.sc{color:var(--text)}
.sc.dim{color:var(--muted)}
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footer a:hover{text-decoration:underline}
.empty{padding:40px;text-align:center;color:var(--muted)}
@media(max-width:700px){ .search{margin-left:0;width:100%} }
</style>
</head>
<body>
<div class="wrap">
<header>
<h1>llm-bench<span class="dot">.io</span> — Local LLM Leaderboard</h1>
</header>
<div class="sub">
Real-world benchmarks from actual users — LLM-judged <b>quality</b> and <b>speed</b> across coding, agent, role-play & research tasks, grouped by VRAM.
<a href="https://llm-bench.io" target="_blank" rel="noopener">Run your own test →</a>
</div>
<div class="toolbar">
<div class="chips" id="vramChips"></div>
<input class="search" id="search" type="search" placeholder="Filter model name…" aria-label="Filter models">
</div>
<div class="meta" id="meta">
__META__
</div>
<div class="card">
<table>
<thead>
<tr>
<th data-sort="model">Model</th>
<th data-sort="vram" class="num">VRAM</th>
<th data-sort="runs" class="num">Runs</th>
<th data-sort="quality" class="num">Quality</th>
<th data-sort="speed" class="num">Speed (tok/s)</th>
<th data-sort="coding_agent" class="num">Coding</th>
<th data-sort="openclaw" class="num">Agent</th>
<th data-sort="roleplay" class="num">Role-Play</th>
<th data-sort="research" class="num">Research</th>
<th data-sort="updated" class="num">Updated</th>
</tr>
</thead>
<tbody id="rows">
__ROWS__
</tbody>
</table>
</div>
<footer>
<span>Data: last <b id="win">__WIN__</b> days, ≥ <b id="minr">__MINR__</b> runs per model · generated <span id="gen">__GEN__</span></span>
<span>·</span>
<span>Methodology: <a href="https://llm-bench.io/benchmark-methodology" target="_blank" rel="noopener">how we measure</a></span>
<span>·</span>
<span>Dataset on Hugging Face: <a href="https://huggingface.co/datasets/llmbenchio/benchmarks-by-vram" target="_blank" rel="noopener">llmbenchio/benchmarks-by-vram</a></span>
</footer>
</div>
<script>
let DATA=null, sortKey="quality", sortDir=-1, vramFilter=null, query="";
async function init(){
// Table rows + meta are pre-rendered at build time (static view for the
// no-JS org card / crawlers). data.json enables interactive
// filtering + sorting on the live Space page.
try{
DATA = await (await fetch("data.json")).json();
}catch(e){ DATA=null; }
if(!DATA) return;
renderChips(); bindHeader(); bindSearch(); render();
}
function renderChips(){
const vals=[...new Set(DATA.rows.map(r=>r.vram))].sort((a,b)=>a-b);
const box=document.getElementById("vramChips");
const all=document.createElement("div");
all.className="chip active"; all.textContent="All VRAM";
all.onclick=()=>{vramFilter=null;[...box.children].forEach(c=>c.classList.remove("active"));all.classList.add("active");render();};
box.appendChild(all);
for(const v of vals){
const c=document.createElement("div");
c.className="chip"; c.textContent=v+" GB";
c.onclick=()=>{vramFilter=v;[...box.children].forEach(x=>x.classList.remove("active"));c.classList.add("active");render();};
box.appendChild(c);
}
}
function bindHeader(){
document.querySelectorAll("th[data-sort]").forEach(th=>{
th.addEventListener("click",()=>{
const k=th.dataset.sort;
if(sortKey===k) sortDir*=-1; else {sortKey=k;sortDir=(k==="model"?1:-1);}
render();
});
});
}
function bindSearch(){
document.getElementById("search").addEventListener("input",e=>{query=e.target.value.toLowerCase();render();});
}
function qColor(v){ if(v==null)return "var(--bad)"; if(v>=85)return "var(--good)"; if(v>=75)return "var(--mid)"; return "var(--bad)"; }
function esc(s){ return String(s).replace(/[&<>"']/g,c=>({"&":"&","<":"<",">":">",'"':""","'":"'"}[c])); }
function render(){
let rows=DATA.rows.slice();
if(vramFilter!=null) rows=rows.filter(r=>r.vram===vramFilter);
if(query) rows=rows.filter(r=>r.model.toLowerCase().includes(query));
rows.sort((a,b)=>{
// scenario values are nested under r.scenarios; other keys are top-level
const val=r=>{ const v=(sortKey in r)?r[sortKey]:r.scenarios?.[sortKey]; return v==null?-1:v; };
let x=val(a), y=val(b);
if(typeof x==="string"||typeof y==="string") return sortDir*String(x).localeCompare(String(y));
return sortDir*(x-y);
});
const head=document.querySelector("thead tr");
[...head.children].forEach(th=>{
const t=th.querySelector(".arrow"); if(t)t.remove();
if(th.dataset.sort===sortKey){const a=document.createElement("span");a.className="arrow";a.textContent=sortDir<0?"▼":"▲";th.appendChild(a);}
});
const tb=document.getElementById("rows");
if(!rows.length){ tb.innerHTML='<tr><td colspan="10" class="empty">No models match this filter.</td></tr>'; return; }
tb.innerHTML=rows.map(r=>{
const link=`https://llm-bench.io/benchmarks?model=${encodeURIComponent(r.model)}`;
const sc=k=>r.scenarios[k]!=null
? `<td class="num sc">${r.scenarios[k].toFixed(1)}</td>`
: `<td class="num sc dim">–</td>`;
const q=r.quality;
const qCell=q!=null
? `<td class="num"><span class="qbar"><i style="width:${Math.max(0,Math.min(100,q))}%;background:${qColor(q)}"></i></span><b>${q.toFixed(1)}</b></td>`
: `<td class="num sc dim">–</td>`;
return `<tr style="cursor:pointer" title="Open on llm-bench.io">
<td><div class="model-cell"><a class="model-name" href="${link}" target="_blank" rel="noopener" onclick="event.stopPropagation()">${esc(r.model)}</a><span class="model-hw">${esc(r.hardware)}</span></div></td>
<td class="num vram">${r.vram} GB</td>
<td class="num">${r.runs}</td>
${qCell}
<td class="num">${r.speed!=null?r.speed.toFixed(1):"–"}</td>
${sc("coding_agent")}${sc("openclaw")}${sc("roleplay")}${sc("research")}
<td class="num updated">${r.updated}</td>
</tr>`;
}).join("");
document.getElementById("meta").innerHTML=
`<span><b>${rows.length}</b> models</span>`+
`<span><b>${DATA.inWindow}</b> submissions in window</span>`+
`<span>of <b>${DATA.totalSubmissions}</b> total on llm-bench.io</span>`;
}
init();
</script>
</body>
</html>
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