Upload index.html

index.html

@@ -17,6 +17,7 @@
       --compactai: #3fb950;
       --supralabs: #58a6ff;
       --axiomiclabs: #c2b6ff;
+      --mihaipopa: #93c6aa;
     }
     * { margin: 0; padding: 0; box-sizing: border-box; }
     body { font-family: -apple-system,BlinkMacSystemFont,'Segoe UI',Helvetica,Arial,sans-serif; background: var(--bg); color: var(--text); padding: 2rem; }
@@ -43,10 +44,12 @@
     .org-compactai { background: #3fb95033; color: var(--compactai); }
     .org-supralabs { background: #1f6feb33; color: var(--supralabs); }
     .org-axiomiclabs { background: #8957e533; color: var(--axiomiclabs); }
+    .org-mihaipopa { background: #93c6aa33; color: var(--mihaipopa); }
 
     .row-compactai { border-left: 3px solid var(--compactai); }
     .row-supralabs { border-left: 3px solid var(--supralabs); }
     .row-axiomiclabs { border-left: 3px solid var(--axiomiclabs); }
+    .row-mihaipopa { border-left: 3px solid var(--mihaipopa); }
     .best { color: var(--green); font-weight: 700; }
     .na { color: #484f58; font-style: italic; }
     .links a { color: var(--accent); text-decoration: none; }
@@ -91,179 +94,8 @@
   <th>Links</th>
 </tr>
 </thead>
-<tbody>
-
-<tr class="row-supralabs">
-  <td><strong>Supra-50M-Instruct</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>51.8M</td>
-  <td class="na">not reported</td>
-  <td><span class="best">76.3%</span></td>
-  <td><span class="best">52.2%</span></td>
-  <td>20B</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/Supra-50M-Instruct">card</a> <a href="https://huggingface.co/SupraLabs/Supra-50M-Base">base</a></td>
-</tr>
-<tr class="row-axiomiclabs">
-  <td><strong>GPT-S-5M</strong></td>
-  <td><span class="org-tag org-axiomiclabs">Axiomic Labs</span></td>
-  <td>5.16M</td>
-  <td>2.56</td>
-  <td>72.27%</td>
-  <td>35.69%</td>
-  <td>25B</td>
-  <td class="links"><a href="https://huggingface.co/AxiomicLabs/GPT-S-5M">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-1.3 (merged)</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>982K</td>
-  <td>3.08</td>
-  <td>68.7%</td>
-  <td>32.5%</td>
-  <td>100B</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1.3">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>Supra-Mini-v5</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>7.87M</td>
-  <td><span class="best">2.66</span></td>
-  <td>63.5%</td>
-  <td>34.4%</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v5-8M">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-1</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1M</td>
-  <td>4.07</td>
-  <td>61.2%</td>
-  <td>32.0%</td>
-  <td>100B</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>Supra-Mini-v4</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>2.62M</td>
-  <td>3.17</td>
-  <td>60.7%</td>
-  <td>31.5%</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v4-2M">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-0.4</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1M</td>
-  <td>5.24</td>
-  <td>58.5%</td>
-  <td>31.0%</td>
-  <td>10B</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.4">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>Supra-Mini-v3</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>468K</td>
-  <td>4.49</td>
-  <td>55.3%</td>
-  <td>27.3%</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v3-0.5M">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>Supra-Mini-v2</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>168K</td>
-  <td>7.79</td>
-  <td>53.5%</td>
-  <td>26.8%</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v2-0.1M">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-0.2</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1M</td>
-  <td class="na">TBD</td>
-  <td>49.8%</td>
-  <td>27.0%</td>
-  <td>~100M</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.2">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-0.3</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1M</td>
-  <td class="na">TBD</td>
-  <td>47.3%</td>
-  <td>25.5%</td>
-  <td>~100M</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.3">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Glint-0.1</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1M</td>
-  <td class="na">TBD</td>
-  <td>46.7%</td>
-  <td>21.0%</td>
-  <td>~100M</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.1">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>Shard-1</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>54.5M</td>
-  <td class="na">TBD</td>
-  <td class="na">TBD</td>
-  <td class="na">TBD</td>
-  <td>~20B</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/Shard-1">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>StorySupra-10M</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>12.6M</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/StorySupra-10M">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>DistillSupra-0.2M</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>289K</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/DistillSupra-0.2M">card</a></td>
-</tr>
-<tr class="row-supralabs">
-  <td><strong>MicroSupra-1k</strong></td>
-  <td><span class="org-tag org-supralabs">SupraLabs</span></td>
-  <td>1K</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">not reported</td>
-  <td class="na">—</td>
-  <td class="links"><a href="https://huggingface.co/SupraLabs/MicroSupra-1k">card</a></td>
-</tr>
-<tr class="row-compactai">
-  <td><strong>TrueMath</strong></td>
-  <td><span class="org-tag org-compactai">CompactAI</span></td>
-  <td>1-layer</td>
-  <td class="na">—</td>
-  <td class="na">—</td>
-  <td class="na">—</td>
-  <td>synthetic</td>
-  <td class="links"><a href="https://huggingface.co/CompactAI-O/TrueMath">card</a></td>
-</tr>
-
+<tbody id="leaderboard-body">
+<!-- Dynamic content -->
 </tbody>
 </table>
 
@@ -273,6 +105,7 @@
   <span class="legend-item"><span class="legend-dot" style="background:var(--compactai)"></span> CompactAI</span>
   <span class="legend-item"><span class="legend-dot" style="background:var(--supralabs)"></span> SupraLabs</span>
   <span class="legend-item"><span class="legend-dot" style="background:var(--axiomiclabs)"></span> Axiomic Labs</span>
+  <span class="legend-item"><span class="legend-dot" style="background:var(--mihaipopa)"></span> Mihai Popa</span>
 </div>
 
 <div class="chart-grid">
@@ -309,37 +142,293 @@ All benchmark data is self-reported by model authors unless otherwise noted.</p>
 </div>
 <script>
 const models = [
-  { name: 'Supra-50M-Instruct', org: 'supralabs', blimp: 76.3, arc: 52.2, wiki: null },
-  { name: 'GPT-S-5M',           org: 'axiomiclabs', blimp: 72.27, arc: 35.69, wiki: 2.56 },
-  { name: 'Glint-1.3 (merged)', org: 'compactai', blimp: 68.7, arc: 32.5, wiki: 3.08 },
-  { name: 'Supra-Mini-v5',     org: 'supralabs', blimp: 63.5, arc: 34.4, wiki: 2.66 },
-  { name: 'Glint-1',           org: 'compactai', blimp: 61.2, arc: 32.0, wiki: 4.07 },
-  { name: 'Supra-Mini-v4',     org: 'supralabs', blimp: 60.7, arc: 31.5, wiki: 3.17 },
-  { name: 'Glint-0.4',         org: 'compactai', blimp: 58.5, arc: 31.0, wiki: 5.24 },
-  { name: 'Supra-Mini-v3',     org: 'supralabs', blimp: 55.3, arc: 27.3, wiki: 4.49 },
-  { name: 'Supra-Mini-v2',     org: 'supralabs', blimp: 53.5, arc: 26.8, wiki: 7.79 },
-  { name: 'Glint-0.2',         org: 'compactai', blimp: 49.8, arc: 27.0, wiki: null },
-  { name: 'Glint-0.3',         org: 'compactai', blimp: 47.3, arc: 25.5, wiki: null },
-  { name: 'Glint-0.1',         org: 'compactai', blimp: 46.7, arc: 21.0, wiki: null },
+  { 
+    name: 'Supra-50M-Instruct', 
+    org: 'supralabs', 
+    params: '51.8M',
+    blimp: 76.3, 
+    arc: 52.2, 
+    wiki: null, 
+    tokens: '20B',
+    links: { card: 'https://huggingface.co/SupraLabs/Supra-50M-Instruct', base: 'https://huggingface.co/SupraLabs/Supra-50M-Base' }
+  },
+  { 
+    name: 'GPT-S-5M', 
+    org: 'axiomiclabs', 
+    params: '5.16M',
+    blimp: 72.27, 
+    arc: 35.69, 
+    wiki: 2.56, 
+    tokens: '25B',
+    links: { card: 'https://huggingface.co/AxiomicLabs/GPT-S-5M' }
+  },
+  { 
+    name: 'Glint-1.3 (merged)', 
+    org: 'compactai', 
+    params: '982K',
+    blimp: 68.7, 
+    arc: 32.5, 
+    wiki: 3.08, 
+    tokens: '100B',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-1.3' }
+  },
+  { 
+    name: 'Supra-Mini-v5', 
+    org: 'supralabs', 
+    params: '7.87M',
+    blimp: 63.5, 
+    arc: 34.4, 
+    wiki: 2.66, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/Supra-Mini-v5-8M' }
+  },
+  { 
+    name: 'CinnabarLM 4M', 
+    org: 'mihaipopa', 
+    params: '4.23M',
+    blimp: 62.87, 
+    arc: 27.36, 
+    wiki: 2.226, 
+    tokens: '~80M',
+    links: { card: 'https://huggingface.co/MihaiPopa-1/CinnabarLM-4M-Base' }
+  },
+  { 
+    name: 'Glint-1', 
+    org: 'compactai', 
+    params: '1M',
+    blimp: 61.2, 
+    arc: 32.0, 
+    wiki: 4.07, 
+    tokens: '100B',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-1' }
+  },
+  { 
+    name: 'Supra-Mini-v4', 
+    org: 'supralabs', 
+    params: '2.62M',
+    blimp: 60.7, 
+    arc: 31.5, 
+    wiki: 3.17, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/Supra-Mini-v4-2M' }
+  },
+  { 
+    name: 'Glint-0.4', 
+    org: 'compactai', 
+    params: '1M',
+    blimp: 58.5, 
+    arc: 31.0, 
+    wiki: 5.24, 
+    tokens: '10B',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-0.4' }
+  },
+  { 
+    name: 'Supra-Mini-v3', 
+    org: 'supralabs', 
+    params: '468K',
+    blimp: 55.3, 
+    arc: 27.3, 
+    wiki: 4.49, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/Supra-Mini-v3-0.5M' }
+  },
+  { 
+    name: 'Supra-Mini-v2', 
+    org: 'supralabs', 
+    params: '168K',
+    blimp: 53.5, 
+    arc: 26.8, 
+    wiki: 7.79, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/Supra-Mini-v2-0.1M' }
+  },
+  { 
+    name: 'Glint-0.2', 
+    org: 'compactai', 
+    params: '1M',
+    blimp: 49.8, 
+    arc: 27.0, 
+    wiki: null, 
+    tokens: '~100M',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-0.2' }
+  },
+  { 
+    name: 'Glint-0.3', 
+    org: 'compactai', 
+    params: '1M',
+    blimp: 47.3, 
+    arc: 25.5, 
+    wiki: null, 
+    tokens: '~100M',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-0.3' }
+  },
+  { 
+    name: 'Glint-0.1', 
+    org: 'compactai', 
+    params: '1M',
+    blimp: 46.7, 
+    arc: 21.0, 
+    wiki: null, 
+    tokens: '~100M',
+    links: { card: 'https://huggingface.co/CompactAI-O/Glint-0.1' }
+  },
+  { 
+    name: 'Shard-1', 
+    org: 'compactai', 
+    params: '54.5M',
+    blimp: null, 
+    arc: null, 
+    wiki: null, 
+    tokens: '~20B',
+    links: { card: 'https://huggingface.co/CompactAI-O/Shard-1' }
+  },
+  { 
+    name: 'CinnabarLM 1.5M', 
+    org: 'mihaipopa', 
+    params: '1.71M',
+    blimp: 60.51, 
+    arc: 26.68, 
+    wiki: 2.35, 
+    tokens: '~50M',
+    links: { card: 'https://huggingface.co/MihaiPopa-1/CinnabarLM-1.5M-Base' }
+  },
+  { 
+    name: 'CinnabarLM 1.4M', 
+    org: 'mihaipopa', 
+    params: '1.51M',
+    blimp: 60.7, 
+    arc: 24.58, 
+    wiki: 2.316, 
+    tokens: '~30M',
+    links: { card: 'https://huggingface.co/MihaiPopa-1/CinnabarLM-1.4M-Base' }
+  },
+  { 
+    name: 'StorySupra-10M', 
+    org: 'supralabs', 
+    params: '12.6M',
+    blimp: null, 
+    arc: null, 
+    wiki: null, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/StorySupra-10M' }
+  },
+  { 
+    name: 'DistillSupra-0.2M', 
+    org: 'supralabs', 
+    params: '289K',
+    blimp: null, 
+    arc: null, 
+    wiki: null, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/DistillSupra-0.2M' }
+  },
+  { 
+    name: 'MicroSupra-1k', 
+    org: 'supralabs', 
+    params: '1K',
+    blimp: null, 
+    arc: null, 
+    wiki: null, 
+    tokens: '—',
+    links: { card: 'https://huggingface.co/SupraLabs/MicroSupra-1k' }
+  },
+  { 
+    name: 'TrueMath', 
+    org: 'compactai', 
+    params: '1-layer',
+    blimp: null, 
+    arc: null, 
+    wiki: null, 
+    tokens: 'synthetic',
+    links: { card: 'https://huggingface.co/CompactAI-O/TrueMath' }
+  }
 ];
 
+const orgNameMap = {
+  compactai: 'CompactAI',
+  supralabs: 'SupraLabs',
+  axiomiclabs: 'Axiomic Labs',
+  mihaipopa: 'Mihai Popa'
+};
+
 const colorMap = {
   compactai: '#3fb950',
   supralabs: '#58a6ff',
-  axiomiclabs: '#c2b6ff'
+  axiomiclabs: '#c2b6ff',
+  mihaipopa: '#93c6aa'
 };
 
 const bgMap = {
   compactai: 'rgba(63,185,80,0.7)',
   supralabs: 'rgba(88,166,255,0.7)',
-  axiomiclabs: 'rgba(194,182,255,0.7)'
+  axiomiclabs: 'rgba(194,182,255,0.7)',
+  mihaipopa: 'rgba(99,232,173,0.7)'
 };
 
+function getScore(m) {
+  const b = m.blimp || 0;
+  const a = m.arc || 0;
+  if (b === 0 && a === 0) return -1;
+  if (b === 0) return a;
+  if (a === 0) return b;
+  return (b + a) / 2;
+}
+
+const worstGreen = [255, 255, 255]; 
+const bestGreen  = [63, 185, 80];   
+
+function getColor(value, min, max, lowerIsBetter, useLog = false) {
+  if (value === null || isNaN(value) || min === max) return '';
+  let v = value, mn = min, mx = max;
+  if (useLog) { v = Math.log(v); mn = Math.log(mn); mx = Math.log(mx); }
+  let percent = (v - mn) / (mx - mn);
+  if (lowerIsBetter) percent = 1 - percent;
+  const adjusted = Math.pow(Math.max(0, Math.min(1, percent)), 2.5);
+  const r = Math.round(worstGreen[0] + (bestGreen[0] - worstGreen[0]) * adjusted);
+  const g = Math.round(worstGreen[1] + (bestGreen[1] - worstGreen[1]) * adjusted);
+  const b = Math.round(worstGreen[2] + (bestGreen[2] - worstGreen[2]) * adjusted);
+  return `color: rgb(${r}, ${g}, ${b})`;
+}
+
+function renderTable() {
+  const tbody = document.getElementById('leaderboard-body');
+  const sortedModels = [...models].sort((a, b) => getScore(b) - getScore(a));
+  
+  const blimpVals = models.map(m => m.blimp).filter(v => v !== null && !isNaN(v));
+  const arcVals = models.map(m => m.arc).filter(v => v !== null && !isNaN(v));
+  const wikiVals = models.map(m => m.wiki).filter(v => v !== null && !isNaN(v));
+
+  const blimpMin = Math.min(...blimpVals), blimpMax = Math.max(...blimpVals);
+  const arcMin = Math.min(...arcVals), arcMax = Math.max(...arcVals);
+  const wikiMin = Math.min(...wikiVals), wikiMax = Math.max(...wikiVals);
+
+  tbody.innerHTML = sortedModels.map(m => {
+    const isBestBlimp = m.blimp && m.blimp === blimpMax;
+    const isBestArc = m.arc && m.arc === arcMax;
+    const isBestWiki = m.wiki && m.wiki === wikiMin;
+    
+    return `
+      <tr class="row-${m.org}">
+        <td><strong>${m.name}</strong></td>
+        <td><span class="org-tag org-${m.org}">${orgNameMap[m.org]}</span></td>
+        <td>${m.params}</td>
+        <td class="${m.wiki ? '' : 'na'}" style="${getColor(m.wiki, wikiMin, wikiMax, true, true)}">${m.wiki ? `<span class="${isBestWiki ? 'best' : ''}">${m.wiki}</span>` : (m.wiki === null ? 'TBD' : 'not reported')}</td>
+        <td class="${m.blimp ? '' : 'na'}" style="${getColor(m.blimp, blimpMin, blimpMax, false)}">${m.blimp ? `<span class="${isBestBlimp ? 'best' : ''}">${m.blimp}%</span>` : (m.blimp === null ? 'TBD' : 'not reported')}</td>
+        <td class="${m.arc ? '' : 'na'}" style="${getColor(m.arc, arcMin, arcMax, false)}">${m.arc ? `<span class="${isBestArc ? 'best' : ''}">${m.arc}%</span>` : (m.arc === null ? 'TBD' : 'not reported')}</td>
+        <td>${m.tokens}</td>
+        <td class="links">
+          <a href="${m.links.card}">card</a>
+          ${m.links.base ? `<a href="${m.links.base}">base</a>` : ''}
+        </td>
+      </tr>
+    `;
+  }).join('');
+}
+
 function buildChart(canvasId, metric, label, reverse) {
-  const m = metric === 'wiki' ? 'wiki' : metric;
   const fmt = metric === 'wiki' ? v => v.toFixed(2) : v => v.toFixed(1) + '%';
   const sorted = models
-    .filter(d => d[metric] !== null)
+    .filter(d => d[metric] !== null && typeof d[metric] === 'number')
     .sort((a, b) => reverse ? a[metric] - b[metric] : b[metric] - a[metric]);
 
   new Chart(document.getElementById(canvasId), {
@@ -368,7 +457,8 @@ function buildChart(canvasId, metric, label, reverse) {
       },
       scales: {
         x: {
-          beginAtZero: true,
+          type: metric === 'wiki' ? 'logarithmic' : 'linear',
+          beginAtZero: metric !== 'wiki',
           grid: { color: 'rgba(255,255,255,0.06)' },
           ticks: { color: '#8b949e', callback: v => metric === 'wiki' ? v.toFixed(1) : v + '%' }
         },
@@ -378,7 +468,10 @@ function buildChart(canvasId, metric, label, reverse) {
             color: '#c9d1d9',
             font: { size: 11 },
             autoSkip: false,
-            callback: label => label.length > 18 ? label.slice(0, 17) + '…' : label
+            callback: function(val, index) {
+              const label = this.getLabelForValue(val);
+              return label.length > 18 ? label.slice(0, 17) + '…' : label;
+            }
           }
         }
       }
@@ -386,73 +479,12 @@ function buildChart(canvasId, metric, label, reverse) {
   });
 }
 
-// Apply gradient text color to table metric values based on performance
-function applyTableGradient() {
-  // Define metric ranges (min and max values)
-  const blimpMin = 46.7, blimpMax = 76.3;
-  const arcMin = 21.0, arcMax = 52.2;
-  const wikiMin = 2.66, wikiMax = 7.79;
-  
-  // Text colors from white (worst) to bright green (best)
-  const worstGreen = [255, 255, 255];  // #ffffff — white, fully readable
-  const bestGreen  = [63, 185, 80];    // #3fb950 — bright vibrant green
-  
-  function getColor(value, min, max, lowerIsBetter) {
-    if (value === null || isNaN(value)) return '';
-    let percent = (value - min) / (max - min);
-    // For metrics where lower is better, invert so best=brightest green
-    if (lowerIsBetter) percent = 1 - percent;
-    const clamped = Math.max(0, Math.min(1, percent));
-    // Non-linear power curve: only top performers get vivid green,
-    // mid/low values stay muted so smarter versions visually pop
-    const adjusted = Math.pow(clamped, 2.5);
-    const r = Math.round(worstGreen[0] + (bestGreen[0] - worstGreen[0]) * adjusted);
-    const g = Math.round(worstGreen[1] + (bestGreen[1] - worstGreen[1]) * adjusted);
-    const b = Math.round(worstGreen[2] + (bestGreen[2] - worstGreen[2]) * adjusted);
-    return `rgb(${r}, ${g}, ${b})`;
-  }
-  
-  // Select all table cells with metric values
-  const blimpCells = document.querySelectorAll('td:nth-child(5)'); // BLiMP column
-  const arcCells = document.querySelectorAll('td:nth-child(6)');   // ARC-Easy column
-  const wikiCells = document.querySelectorAll('td:nth-child(4)');  // WikiText-2 column
-  
-  blimpCells.forEach(cell => {
-    const text = cell.textContent.replace('%', '').trim();
-    if (text && text !== 'not reported' && text !== 'TBD' && text !== '—') {
-      const value = parseFloat(text);
-      if (!isNaN(value)) {
-        cell.style.color = getColor(value, blimpMin, blimpMax, false);
-      }
-    }
-  });
-  
-  arcCells.forEach(cell => {
-    const text = cell.textContent.replace('%', '').trim();
-    if (text && text !== 'not reported' && text !== 'TBD' && text !== '—') {
-      const value = parseFloat(text);
-      if (!isNaN(value)) {
-        cell.style.color = getColor(value, arcMin, arcMax, false);
-      }
-    }
-  });
-  
-  wikiCells.forEach(cell => {
-    const text = cell.textContent.trim();
-    if (text && text !== 'not reported' && text !== 'TBD' && text !== '—') {
-      const value = parseFloat(text);
-      if (!isNaN(value)) {
-        cell.style.color = getColor(value, wikiMin, wikiMax, true);
-      }
-    }
-  });
-}
-
-// Apply gradient after page loads
-window.addEventListener('DOMContentLoaded', applyTableGradient);
-buildChart('blimpChart', 'blimp', 'BLiMP Accuracy', false);
-buildChart('arcChart', 'arc', 'ARC-Easy Accuracy', false);
-buildChart('wikiChart', 'wiki', 'WikiText-2 Perplexity', true);
+window.addEventListener('DOMContentLoaded', () => {
+  renderTable();
+  buildChart('blimpChart', 'blimp', 'BLiMP Accuracy', false);
+  buildChart('arcChart', 'arc', 'ARC-Easy Accuracy', false);
+  buildChart('wikiChart', 'wiki', 'WikiText-2 Perplexity', true);
+});
 </script>
 </body>
 </html>