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index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Tema_Q Model</title>
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<style>
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:root {
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--primary-color: #2563eb;
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--bg-color: #f8fafc;
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--text-color: #1e293b;
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--accent-good: #10b981;
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--accent-dev: #f59e0b;
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}
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body {
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font-family: 'Helvetica Neue', Arial, sans-serif;
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background-color: var(--bg-color);
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color: var(--text-color);
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line-height: 1.6;
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margin: 0;
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padding: 40px 20px;
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}
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.container {
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max-width: 1000px;
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margin: 0 auto;
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}
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header {
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text-align: center;
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margin-bottom: 50px;
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}
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h1 {
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color: var(--primary-color);
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font-size: 2.5rem;
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margin-bottom: 10px;
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}
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.intro {
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background: white;
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padding: 20px;
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border-left: 5px solid var(--primary-color);
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border-radius: 8px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.05);
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margin-bottom: 30px;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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background: white;
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border-radius: 12px;
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overflow: hidden;
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box-shadow: 0 4px 6px rgba(0,0,0,0.1);
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}
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th, td {
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padding: 16px;
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text-align: left;
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border-bottom: 1px solid #e2e8f0;
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}
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th {
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background-color: #f1f5f9;
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font-weight: 600;
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color: #475569;
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}
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tr:last-child td {
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border-bottom: none;
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}
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.status-badge {
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display: inline-block;
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padding: 4px 12px;
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border-radius: 20px;
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font-size: 0.85rem;
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font-weight: bold;
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}
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.status-high {
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background-color: #dcfce7;
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color: #065f46;
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}
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.status-dev {
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background-color: #fef3c7;
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color: #92400e;
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}
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.status-none {
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background-color: #f1f5f9;
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color: #64748b;
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}
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.param {
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font-weight: 500;
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color: #6366f1;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<header>
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<h1>Tema_Q LLM Model Series</h1>
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<p>The Perfect Fusion of "Uncensored" and "High Performance"</p>
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</header>
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<p>The <strong>Tema_Q Series</strong> is an LLM model series developed to achieve both unrestricted dialogue (uncensored) and high practical reasoning performance.<br><br></p>
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</div>
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<table>
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<thead>
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<tr>
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<th>Model Name</th>
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<th>Parameters</th>
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<th>Status</th>
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<th>Features & Achievements</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Tema_Q-R1.0</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-none">Unreleased</span></td>
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<td></td>
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</tr>
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<tr>
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<td>Tema_Q-R2.0-Code</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-dev">In Development</span></td>
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<td>An uncensored model specialized for code writing.</td>
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</tr>
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<tr>
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<td>Tema_Q-R2.5</td>
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<td class="param">7B</td>
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<td><span class="status-badge status-none">Unreleased</span></td>
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<td></td>
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</tr>
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<tr>
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<td>Tema_Q-R3.1</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-high">Excellent</span></td>
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<td>First release. An uncensored model boasting one of the highest NatInt scores for an indie LLM.</td>
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</tr>
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<tr>
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<td>Tema_Q-R4.2</td>
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<td class="param">10B</td>
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<td><span class="status-badge status-high">Excellent</span></td>
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<td>Achieved the highest score in the under-22B category on the UGI Leaderboard.</td>
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</tr>
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<tr>
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<td>Tema_Q-R6.0</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-dev">In Development</span></td>
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<td>Feedback model for the development of next-generation versions.</td>
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</tr>
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<tr>
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<td>Tema_Q-R7.0</td>
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<td class="param">12B</td>
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<td><span class="status-badge status-high">Highly Rated</span></td>
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<td>A well-balanced 12B parameter uncensored model.</td>
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</tr>
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<tr>
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<td>Tema_Q-R12.2</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-dev">Under Evaluation</span></td>
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<td>A Japanese-specialized model trained on a massive 400B-parameter class dataset.</td>
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</tr>
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<tr>
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<td>Tema_Q-R15.6</td>
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<td class="param">9B</td>
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<td><span class="status-badge status-high">Highly Rated</span></td>
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<td>High-precision Japanese model that recorded a score of 4.10 on ELYZA-tasks-100.</td>
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</tr>
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<tr>
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<td>Tema_Q-X</td>
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<td class="param">10B</td>
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<td><span class="status-badge status-high">Excellent</span></td>
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<td>The flagship model that combines an ultimate uncensored environment with high accuracy.</td>
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</tr>
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</tbody>
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</table>
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</div>
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</body>
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</html>
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