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index.html
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<title>Tiny-ML Leaderboard</title>
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
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<style>
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</style>
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</head>
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<body>
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</thead>
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<tbody>
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<tr>
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<td><strong>Supra-50M-Instruct</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>51.8M</td>
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<td>20B</td>
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<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>
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</tr>
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<tr>
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<td><strong>Glint-1.3 (merged)</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>982K</td>
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<td>100B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1.3">card</a></td>
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</tr>
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<tr>
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<td><strong>Supra-Mini-v5</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>7.87M</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v5-8M">card</a></td>
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</tr>
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<tr>
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<td><strong>Glint-1</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>100B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1">card</a></td>
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</tr>
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<tr>
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<td><strong>Supra-Mini-v4</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>2.62M</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v4-2M">card</a></td>
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</tr>
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<tr>
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<td><strong>Glint-0.4</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>10B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.4">card</a></td>
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</tr>
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<tr>
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<td><strong>Supra-Mini-v3</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>468K</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v3-0.5M">card</a></td>
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</tr>
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<td><strong>Supra-Mini-v2</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>168K</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v2-0.1M">card</a></td>
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</tr>
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<tr>
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<td><strong>Glint-0.2</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>~100M</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.2">card</a></td>
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</tr>
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<td><strong>Glint-0.3</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>~100M</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.3">card</a></td>
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</tr>
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<td><strong>Glint-0.1</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>~100M</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.1">card</a></td>
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</tr>
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<td><strong>Shard-1</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>54.5M</td>
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<td>~20B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Shard-1">card</a></td>
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</tr>
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<td><strong>StorySupra-10M</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>12.6M</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/StorySupra-10M">card</a></td>
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</tr>
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<td><strong>DistillSupra-0.2M</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>289K</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/DistillSupra-0.2M">card</a></td>
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</tr>
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<td><strong>MicroSupra-1k</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>1K</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/MicroSupra-1k">card</a></td>
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</tr>
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<td><strong>TrueMath</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1-layer</td>
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});
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}
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buildChart('blimpChart', 'blimp', 'BLiMP Accuracy', false);
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buildChart('arcChart', 'arc', 'ARC-Easy Accuracy', false);
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buildChart('wikiChart', 'wiki', 'WikiText-2 Perplexity', true);
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<title>Tiny-ML Leaderboard</title>
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
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<style>
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:root {
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--bg: #0d1117;
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--card: #161b22;
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--border: #30363d;
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--text: #c9d1d9;
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--accent: #58a6ff;
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--green: #3fb950;
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--orange: #d29922;
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--compactai: #58a6ff;
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--supralabs: #3fb950;
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body { font-family: -apple-system,BlinkMacSystemFont,'Segoe UI',Helvetica,Arial,sans-serif; background: var(--bg); color: var(--text); padding: 2rem; }
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.container { max-width: 1200px; margin: 0 auto; }
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h1 { font-size: 1.8rem; margin-bottom: .25rem; }
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.subtitle { color: #8b949e; margin-bottom: 2rem; font-size: .95rem; }
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.note { background: var(--card); border: 1px solid var(--border); border-radius: 8px; padding: 1rem; margin-bottom: 2rem; font-size: .9rem; line-height: 1.5; }
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.note a { color: var(--accent); }
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.section-title { font-size: 1.2rem; margin: 2rem 0 1rem; padding-bottom: .5rem; border-bottom: 1px solid var(--border); }
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.chart-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 1.5rem; margin-bottom: 2rem; }
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.chart-card { background: var(--card); border: 1px solid var(--border); border-radius: 8px; padding: 1rem; }
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.chart-card.full { grid-column: 1 / -1; }
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.chart-card h3 { font-size: .95rem; margin-bottom: .75rem; color: var(--text); }
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.chart-card canvas { max-height: 360px; }
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.legend { display: flex; gap: 1.5rem; margin-bottom: .75rem; font-size: .8rem; }
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.legend-item { display: flex; align-items: center; gap: .4rem; }
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.legend-dot { width: 10px; height: 10px; border-radius: 50%; }
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table { width: 100%; border-collapse: collapse; font-size: .85rem; }
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th { background: var(--card); padding: .75rem .5rem; text-align: center; border: 1px solid var(--border); font-weight: 600; white-space: nowrap; }
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td { padding: .6rem .5rem; text-align: center; border: 1px solid var(--border); }
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td:first-child, th:first-child { text-align: left; padding-left: 1rem; }
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tr:hover td { background: rgba(88,166,255,.05); }
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.org-tag { display: inline-block; padding: .15rem .5rem; border-radius: 4px; font-size: .75rem; font-weight: 600; }
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.org-compactai { background: #1f6feb33; color: var(--compactai); }
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.org-supralabs { background: #3fb95033; color: var(--supralabs); }
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.row-compactai { border-left: 3px solid var(--compactai); }
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.row-supralabs { border-left: 3px solid var(--supralabs); }
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.best { color: var(--green); font-weight: 700; }
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.na { color: #484f58; font-style: italic; }
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.links a { color: var(--accent); text-decoration: none; }
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.links a:hover { text-decoration: underline; }
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footer { margin-top: 3rem; padding-top: 1.5rem; border-top: 1px solid var(--border); font-size: .8rem; color: #484f58; text-align: center; }
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footer a { color: var(--accent); }
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.methodology { margin-top: 2rem; }
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.methodology h3 { margin-bottom: .5rem; }
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.methodology p { font-size: .85rem; line-height: 1.6; color: #8b949e; }
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@media (max-width: 768px) {
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body { padding: 1rem; }
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.chart-grid { grid-template-columns: 1fr; }
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table { font-size: .75rem; }
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th, td { padding: .4rem .3rem; }
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}
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</style>
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</head>
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<body>
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</thead>
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<tbody>
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<tr class="row-supralabs">
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<td><strong>Supra-50M-Instruct</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>51.8M</td>
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<td>20B</td>
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<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>
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</tr>
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<tr class="row-compactai">
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<td><strong>Glint-1.3 (merged)</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>982K</td>
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<td>100B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1.3">card</a></td>
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</tr>
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<tr class="row-supralabs">
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<td><strong>Supra-Mini-v5</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>7.87M</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v5-8M">card</a></td>
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</tr>
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<tr class="row-compactai">
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<td><strong>Glint-1</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>100B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-1">card</a></td>
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</tr>
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<tr class="row-supralabs">
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<td><strong>Supra-Mini-v4</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>2.62M</td>
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| 140 |
<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v4-2M">card</a></td>
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</tr>
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<tr class="row-compactai">
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<td><strong>Glint-0.4</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>10B</td>
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<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.4">card</a></td>
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</tr>
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<tr class="row-supralabs">
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<td><strong>Supra-Mini-v3</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>468K</td>
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<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v3-0.5M">card</a></td>
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</tr>
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<tr class="row-supralabs">
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<td><strong>Supra-Mini-v2</strong></td>
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<td><span class="org-tag org-supralabs">SupraLabs</span></td>
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<td>168K</td>
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| 170 |
<td class="na">β</td>
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<td class="links"><a href="https://huggingface.co/SupraLabs/Supra-Mini-v2-0.1M">card</a></td>
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</tr>
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<tr class="row-compactai">
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<td><strong>Glint-0.2</strong></td>
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<td><span class="org-tag org-compactai">CompactAI</span></td>
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<td>1M</td>
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<td>~100M</td>
|
| 181 |
<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.2">card</a></td>
|
| 182 |
</tr>
|
| 183 |
+
<tr class="row-compactai">
|
| 184 |
<td><strong>Glint-0.3</strong></td>
|
| 185 |
<td><span class="org-tag org-compactai">CompactAI</span></td>
|
| 186 |
<td>1M</td>
|
|
|
|
| 190 |
<td>~100M</td>
|
| 191 |
<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.3">card</a></td>
|
| 192 |
</tr>
|
| 193 |
+
<tr class="row-compactai">
|
| 194 |
<td><strong>Glint-0.1</strong></td>
|
| 195 |
<td><span class="org-tag org-compactai">CompactAI</span></td>
|
| 196 |
<td>1M</td>
|
|
|
|
| 200 |
<td>~100M</td>
|
| 201 |
<td class="links"><a href="https://huggingface.co/CompactAI-O/Glint-0.1">card</a></td>
|
| 202 |
</tr>
|
| 203 |
+
<tr class="row-compactai">
|
| 204 |
<td><strong>Shard-1</strong></td>
|
| 205 |
<td><span class="org-tag org-compactai">CompactAI</span></td>
|
| 206 |
<td>54.5M</td>
|
|
|
|
| 210 |
<td>~20B</td>
|
| 211 |
<td class="links"><a href="https://huggingface.co/CompactAI-O/Shard-1">card</a></td>
|
| 212 |
</tr>
|
| 213 |
+
<tr class="row-supralabs">
|
| 214 |
<td><strong>StorySupra-10M</strong></td>
|
| 215 |
<td><span class="org-tag org-supralabs">SupraLabs</span></td>
|
| 216 |
<td>12.6M</td>
|
|
|
|
| 220 |
<td class="na">β</td>
|
| 221 |
<td class="links"><a href="https://huggingface.co/SupraLabs/StorySupra-10M">card</a></td>
|
| 222 |
</tr>
|
| 223 |
+
<tr class="row-supralabs">
|
| 224 |
<td><strong>DistillSupra-0.2M</strong></td>
|
| 225 |
<td><span class="org-tag org-supralabs">SupraLabs</span></td>
|
| 226 |
<td>289K</td>
|
|
|
|
| 230 |
<td class="na">β</td>
|
| 231 |
<td class="links"><a href="https://huggingface.co/SupraLabs/DistillSupra-0.2M">card</a></td>
|
| 232 |
</tr>
|
| 233 |
+
<tr class="row-supralabs">
|
| 234 |
<td><strong>MicroSupra-1k</strong></td>
|
| 235 |
<td><span class="org-tag org-supralabs">SupraLabs</span></td>
|
| 236 |
<td>1K</td>
|
|
|
|
| 240 |
<td class="na">β</td>
|
| 241 |
<td class="links"><a href="https://huggingface.co/SupraLabs/MicroSupra-1k">card</a></td>
|
| 242 |
</tr>
|
| 243 |
+
<tr class="row-compactai">
|
| 244 |
<td><strong>TrueMath</strong></td>
|
| 245 |
<td><span class="org-tag org-compactai">CompactAI</span></td>
|
| 246 |
<td>1-layer</td>
|
|
|
|
| 435 |
});
|
| 436 |
}
|
| 437 |
|
| 438 |
+
// Apply gradient text color to table metric values based on performance
|
| 439 |
+
function applyTableGradient() {
|
| 440 |
+
// Define metric ranges (min and max values)
|
| 441 |
+
const blimpMin = 46.7, blimpMax = 76.3;
|
| 442 |
+
const arcMin = 21.0, arcMax = 52.2;
|
| 443 |
+
const wikiMin = 2.66, wikiMax = 7.79;
|
| 444 |
+
|
| 445 |
+
// Text colors from white (worst) to bright green (best)
|
| 446 |
+
const worstGreen = [255, 255, 255]; // #ffffff β white, fully readable
|
| 447 |
+
const bestGreen = [63, 185, 80]; // #3fb950 β bright vibrant green
|
| 448 |
+
|
| 449 |
+
function getColor(value, min, max, lowerIsBetter) {
|
| 450 |
+
if (value === null || isNaN(value)) return '';
|
| 451 |
+
let percent = (value - min) / (max - min);
|
| 452 |
+
// For metrics where lower is better, invert so best=brightest green
|
| 453 |
+
if (lowerIsBetter) percent = 1 - percent;
|
| 454 |
+
const clamped = Math.max(0, Math.min(1, percent));
|
| 455 |
+
// Interpolate between muted and bright green
|
| 456 |
+
const r = Math.round(worstGreen[0] + (bestGreen[0] - worstGreen[0]) * clamped);
|
| 457 |
+
const g = Math.round(worstGreen[1] + (bestGreen[1] - worstGreen[1]) * clamped);
|
| 458 |
+
const b = Math.round(worstGreen[2] + (bestGreen[2] - worstGreen[2]) * clamped);
|
| 459 |
+
return `rgb(${r}, ${g}, ${b})`;
|
| 460 |
+
}
|
| 461 |
+
|
| 462 |
+
// Select all table cells with metric values
|
| 463 |
+
const blimpCells = document.querySelectorAll('td:nth-child(5)'); // BLiMP column
|
| 464 |
+
const arcCells = document.querySelectorAll('td:nth-child(6)'); // ARC-Easy column
|
| 465 |
+
const wikiCells = document.querySelectorAll('td:nth-child(4)'); // WikiText-2 column
|
| 466 |
+
|
| 467 |
+
blimpCells.forEach(cell => {
|
| 468 |
+
const text = cell.textContent.replace('%', '').trim();
|
| 469 |
+
if (text && text !== 'not reported' && text !== 'TBD' && text !== 'β') {
|
| 470 |
+
const value = parseFloat(text);
|
| 471 |
+
if (!isNaN(value)) {
|
| 472 |
+
cell.style.color = getColor(value, blimpMin, blimpMax, false);
|
| 473 |
+
}
|
| 474 |
+
}
|
| 475 |
+
});
|
| 476 |
+
|
| 477 |
+
arcCells.forEach(cell => {
|
| 478 |
+
const text = cell.textContent.replace('%', '').trim();
|
| 479 |
+
if (text && text !== 'not reported' && text !== 'TBD' && text !== 'β') {
|
| 480 |
+
const value = parseFloat(text);
|
| 481 |
+
if (!isNaN(value)) {
|
| 482 |
+
cell.style.color = getColor(value, arcMin, arcMax, false);
|
| 483 |
+
}
|
| 484 |
+
}
|
| 485 |
+
});
|
| 486 |
+
|
| 487 |
+
wikiCells.forEach(cell => {
|
| 488 |
+
const text = cell.textContent.trim();
|
| 489 |
+
if (text && text !== 'not reported' && text !== 'TBD' && text !== 'β') {
|
| 490 |
+
const value = parseFloat(text);
|
| 491 |
+
if (!isNaN(value)) {
|
| 492 |
+
cell.style.color = getColor(value, wikiMin, wikiMax, true);
|
| 493 |
+
}
|
| 494 |
+
}
|
| 495 |
+
});
|
| 496 |
+
}
|
| 497 |
+
|
| 498 |
+
// Apply gradient after page loads
|
| 499 |
+
window.addEventListener('DOMContentLoaded', applyTableGradient);
|
| 500 |
buildChart('blimpChart', 'blimp', 'BLiMP Accuracy', false);
|
| 501 |
buildChart('arcChart', 'arc', 'ARC-Easy Accuracy', false);
|
| 502 |
buildChart('wikiChart', 'wiki', 'WikiText-2 Perplexity', true);
|