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- <!doctype html>
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- <html>
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- <head>
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- <meta charset="utf-8" />
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- <meta name="viewport" content="width=device-width" />
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- <title>My static Space</title>
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- <link rel="stylesheet" href="style.css" />
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- </head>
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- <body>
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- <div class="card">
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- <h1>Welcome to your static Space!</h1>
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- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
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- <p>
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- Also don't forget to check the
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- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
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- </p>
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- </div>
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- </body>
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- </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>KIMI K2: Open Agentic Intelligence</title>
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+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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+ <style>
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+ :root {
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+ --primary: #2563eb;
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+ --secondary: #1e40af;
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+ --accent: #3b82f6;
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+ --dark: #1e1b4b;
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+ --light: #f8fafc;
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+ --text: #1f2937;
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+ --highlight: #10b981;
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+ }
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+
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+ * {
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+ margin: 0;
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+ padding: 0;
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+ box-sizing: border-box;
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+ font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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+ }
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+
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+ body {
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+ background-color: var(--dark);
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+ color: var(--light);
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+ line-height: 1.6;
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+ }
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+
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+ .poster {
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+ max-width: 1200px;
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+ margin: 2rem auto;
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+ padding: 2rem;
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+ background: linear-gradient(135deg, var(--dark) 0%, #1e1b4b 100%);
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+ border-radius: 16px;
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+ box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.5);
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+ position: relative;
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+ overflow: hidden;
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+ border: 1px solid rgba(255, 255, 255, 0.1);
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+ }
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+
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+ .poster::before {
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+ content: '';
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+ position: absolute;
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+ top: 0;
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+ left: 0;
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+ right: 0;
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+ height: 4px;
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+ background: linear-gradient(90deg, var(--primary), var(--highlight), var(--accent));
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+ }
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+
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+ .header {
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+ text-align: center;
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+ margin-bottom: 2rem;
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+ position: relative;
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+ z-index: 1;
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+ }
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+
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+ .title {
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+ font-size: 3.5rem;
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+ font-weight: 800;
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+ margin-bottom: 1rem;
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+ background: linear-gradient(90deg, var(--primary), var(--accent));
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+ -webkit-background-clip: text;
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+ background-clip: text;
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+ color: transparent;
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+ text-transform: uppercase;
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+ letter-spacing: 1px;
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+ }
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+
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+ .subtitle {
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+ font-size: 1.5rem;
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+ font-weight: 600;
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+ color: var(--accent);
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+ margin-bottom: 0.5rem;
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+ }
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+
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+ .team {
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+ font-size: 1.2rem;
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+ color: var(--light);
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+ opacity: 0.8;
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+ margin-bottom: 2rem;
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+ }
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+
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+ .content {
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+ display: grid;
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+ grid-template-columns: 1fr 1fr;
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+ gap: 2rem;
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+ margin-bottom: 2rem;
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+ }
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+
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+ .abstract {
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+ background: rgba(30, 64, 175, 0.2);
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+ padding: 1.5rem;
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+ border-radius: 12px;
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+ border-left: 4px solid var(--primary);
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+ backdrop-filter: blur(10px);
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+ }
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+
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+ .abstract-title {
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+ font-size: 1.5rem;
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+ font-weight: 700;
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+ margin-bottom: 1rem;
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+ color: var(--highlight);
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+ }
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+
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+ .abstract-text {
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+ margin-bottom: 1rem;
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+ font-size: 1.1rem;
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+ }
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+
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+ .highlights {
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+ background: rgba(16, 185, 129, 0.1);
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+ padding: 1.5rem;
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+ border-radius: 12px;
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+ border-left: 4px solid var(--highlight);
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+ backdrop-filter: blur(10px);
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+ }
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+
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+ .highlights-title {
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+ font-size: 1.5rem;
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+ font-weight: 700;
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+ margin-bottom: 1rem;
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+ color: var(--highlight);
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+ }
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+
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+ .highlight-item {
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+ display: flex;
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+ align-items: flex-start;
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+ margin-bottom: 1rem;
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+ }
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+
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+ .highlight-icon {
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+ color: var(--highlight);
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+ margin-right: 1rem;
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+ font-size: 1.2rem;
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+ margin-top: 0.2rem;
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+ }
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+
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+ .stats {
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+ display: grid;
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+ grid-template-columns: repeat(2, 1fr);
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+ gap: 1rem;
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+ margin-top: 2rem;
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+ }
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+
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+ .stat-item {
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+ background: rgba(59, 130, 246, 0.1);
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+ padding: 1rem;
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+ border-radius: 8px;
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+ text-align: center;
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+ border: 1px solid rgba(59, 130, 246, 0.3);
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+ }
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+
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+ .stat-value {
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+ font-size: 2rem;
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+ font-weight: 700;
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+ color: var(--accent);
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+ margin-bottom: 0.5rem;
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+ }
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+
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+ .stat-label {
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+ font-size: 0.9rem;
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+ opacity: 0.8;
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+ }
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+
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+ .image-container {
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+ margin: 2rem 0;
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+ text-align: center;
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+ }
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+
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+ .image-container img {
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+ max-width: 100%;
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+ border-radius: 8px;
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+ box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.3);
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+ border: 1px solid rgba(255, 255, 255, 0.1);
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+ }
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+
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+ .footer {
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+ text-align: center;
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+ margin-top: 2rem;
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+ padding-top: 1rem;
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+ border-top: 1px solid rgba(255, 255, 255, 0.1);
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+ font-size: 0.9rem;
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+ opacity: 0.7;
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+ }
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+
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+ .footer a {
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+ color: var(--accent);
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+ text-decoration: none;
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+ transition: color 0.3s;
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+ }
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+
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+ .footer a:hover {
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+ color: var(--highlight);
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+ }
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+
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+ .tech-grid {
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+ display: grid;
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+ grid-template-columns: repeat(3, 1fr);
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+ gap: 1rem;
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+ margin-top: 2rem;
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+ }
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+
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+ .tech-item {
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+ background: rgba(30, 64, 175, 0.2);
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+ padding: 1rem;
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+ border-radius: 8px;
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+ text-align: center;
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+ transition: transform 0.3s, box-shadow 0.3s;
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+ }
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+
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+ .tech-item:hover {
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+ transform: translateY(-5px);
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+ box-shadow: 0 10px 20px -5px rgba(0, 0, 0, 0.2);
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+ }
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+
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+ .tech-icon {
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+ font-size: 2rem;
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+ color: var(--accent);
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+ margin-bottom: 0.5rem;
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+ }
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+
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+ .tech-title {
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+ font-weight: 600;
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+ margin-bottom: 0.5rem;
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+ }
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+
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+ .tech-desc {
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+ font-size: 0.9rem;
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+ opacity: 0.8;
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+ }
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+
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+ @media (max-width: 768px) {
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+ .content {
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+ grid-template-columns: 1fr;
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+ }
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+
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+ .title {
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+ font-size: 2.5rem;
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+ }
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+
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+ .stats, .tech-grid {
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+ grid-template-columns: 1fr;
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+ }
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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="poster">
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+ <div class="header">
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+ <h1 class="title">KIMI K2</h1>
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+ <h2 class="subtitle">Open Agentic Intelligence</h2>
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+ <p class="team">Technical Report · Kimi Team</p>
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+ </div>
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+
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+ <div class="content">
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+ <div class="abstract">
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+ <h3 class="abstract-title">ABSTRACT</h3>
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+ <p class="abstract-text">We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which improves upon Muon with a novel QK-clip technique to address training instability while enjoying the advanced token efficiency of Muon.</p>
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+ <p class="abstract-text">Kimi K2 achieves state-of-the-art performance among open-source non-thinking models, with strengths in agentic capabilities. Notably, K2 obtains 66.1 on Tau2-Bench, 76.5 on ACEBench (En), 65.8 on SWE-Bench Verified, and 47.3 on SWE-Bench Multilingual — surpassing most open and closed-sourced baselines in non-thinking settings.</p>
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+ </div>
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+
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+ <div class="highlights">
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+ <h3 class="highlights-title">KEY HIGHLIGHTS</h3>
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+ <div class="highlight-item">
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+ <div class="highlight-icon"><i class="fas fa-brain"></i></div>
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+ <div>
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+ <strong>1.04 Trillion Parameters</strong> - MoE architecture with 32B activated parameters
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+ </div>
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+ </div>
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+ <div class="highlight-item">
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+ <div class="highlight-icon"><i class="fas fa-chart-line"></i></div>
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+ <div>
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+ <strong>15.5 Trillion Tokens</strong> - Pre-trained with zero loss spikes
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+ </div>
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+ </div>
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+ <div class="highlight-item">
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+ <div class="highlight-icon"><i class="fas fa-robot"></i></div>
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+ <div>
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+ <strong>Agentic Capabilities</strong> - Superior performance in software engineering and agentic tasks
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <div class="stats">
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+ <div class="stat-item">
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+ <div class="stat-value">66.1</div>
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+ <div class="stat-label">Tau2-Bench</div>
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+ </div>
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+ <div class="stat-item">
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+ <div class="stat-value">76.5</div>
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+ <div class="stat-label">ACEBench (En)</div>
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+ </div>
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+ <div class="stat-item">
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+ <div class="stat-value">65.8</div>
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+ <div class="stat-label">SWE-Bench Verified</div>
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+ </div>
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+ <div class="stat-item">
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+ <div class="stat-value">47.3</div>
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+ <div class="stat-label">SWE-Bench Multilingual</div>
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+ </div>
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+ </div>
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+
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+ <div class="image-container">
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+ <img src="https://cdn.vansin.top/picgo/2301e0231d5e471d6d6231ca53eaccfb06089892a33c2d2311d5805ee440c93a.jpg" alt="Kimi K2 Results">
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+ </div>
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+
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+ <div class="tech-grid">
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+ <div class="tech-item">
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+ <div class="tech-icon"><i class="fas fa-cogs"></i></div>
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+ <h4 class="tech-title">MuonClip Optimizer</h4>
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+ <p class="tech-desc">Novel QK-clip technique for stable training</p>
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+ </div>
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+ <div class="tech-item">
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+ <div class="tech-icon"><i class="fas fa-database"></i></div>
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+ <h4 class="tech-title">Agentic Data Pipeline</h4>
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+ <p class="tech-desc">Large-scale synthesis of tool-use demonstrations</p>
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+ </div>
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+ <div class="tech-item">
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+ <div class="tech-icon"><i class="fas fa-robot"></i></div>
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+ <h4 class="tech-title">RL Framework</h4>
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+ <p class="tech-desc">Combines verifiable rewards with self-critique</p>
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+ </div>
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+ </div>
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+
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+ <div class="footer">
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+ Created by <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank">AnyCoder</a>
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+ </div>
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+ </div>
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+ </body>
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+ </html>