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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>Light AI - Large Model Systems</title>
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<style>
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body {
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font-family: 'Arial', sans-serif;
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margin: 0;
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padding: 0;
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color: #333;
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line-height: 1.6;
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}
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.header {
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background: #3b82f6;
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color: white;
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padding: 2rem;
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text-align: center;
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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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padding: 2rem;
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}
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.project-grid {
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display: grid;
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grid-template-columns: repeat(2, 1fr);
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gap: 1.5rem;
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margin-top: 2rem;
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}
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.project-card {
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background: #f8f9fa;
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border-radius: 6px;
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padding: 1.5rem;
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border: 1px solid #e9ecef;
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}
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.project-card h3 {
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color: #3b82f6;
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margin-top: 0;
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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="header">
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<h1>Light AI</h1>
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<p>Advanced Systems for Large Models</p>
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</div>
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<div class="container">
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<h2>Our Key Projects</h2>
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<div class="project-grid">
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<div class="project-card">
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<h3>LLMC</h3>
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<p>Large Language Model Compression framework for efficient model deployment and optimization.</p>
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</div>
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<div class="project-card">
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<a href="https://modeltc.github.io/lightllm-blog/">
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<h3>LightLLM</h3>
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</a>
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<p>Lightweight implementation of Large Language Models with state-of-the-art performance.</p>
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</div>
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<div class="project-card">
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<h3>EasyLLM</h3>
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<p>Simplified toolkit for training and fine-tuning large language models with minimal setup.</p>
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</div>
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<div class="project-card">
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<h3>MQBench</h3>
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<p>Comprehensive benchmarking suite for model quantization and performance evaluation.</p>
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</div>
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</div>
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</div>
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<footer class="container" style="text-align: center; margin-top: 2rem;">
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<p>© 2024 Light AI</p>
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</footer>
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</body>
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</html>
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