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Automated pre-rendering: Generated 5678 model pages 2025-11-04 01:44:17 UTC
 - Pre-rendered top 1000 models by likes - Generated static HTML files for better SEO - Files saved in models/ directory - Each model now has its own addressable URL - Added hardware requirements calculation - Enhanced engagement metrics display - System requirements visualization - Hardware compatibility indicators
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‎models/acornpersonalintelligence.html‎

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<meta charset="UTF-8">
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<title>Acornpersonalintelligence - GGUF Model</title>
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<meta name="description" content="Download Acornpersonalintelligence GGUF model. 1.9 GB, 432 downloads, 0 likes.">
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<meta name="description" content="Download Acornpersonalintelligence GGUF model. 1.9 GB, 452 downloads, 0 likes.">
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<meta property="og:description" content="Download Acornpersonalintelligence GGUF model. 1.9 GB, 432 downloads.">
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‎models/aepo-light.html‎

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<title>Aepo Light - GGUF Model</title>
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<meta name="description" content="Download Aepo Light GGUF model. 5.1 GB, 2 downloads, 0 likes.">
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<meta name="description" content="Download Aepo Light GGUF model. 5.1 GB, 9 downloads, 0 likes.">
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<meta name="keywords" content="Aepo Light, GGUF, Q5_K_M, Unknown, download, AI model">
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<meta property="og:title" content="Aepo Light - GGUF Model">
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‎models/agi-5.html‎

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<title>Agi 5 - GGUF Model</title>
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<meta name="description" content="Download Agi 5 GGUF model. 1.8 GB, 2 downloads, 1 likes.">
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<meta name="description" content="Download Agi 5 GGUF model. 1.8 GB, 3 downloads, 1 likes.">
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<meta name="keywords" content="Agi 5, GGUF, Q3_K_S, Unknown, download, AI model">
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<meta property="og:title" content="Agi 5 - GGUF Model">
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‎models/aidc-llm-laos-24k-gemma-3-270m-it.html‎

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<title>Aidc Llm Laos 24k Gemma 3 270m It - GGUF Model</title>
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‎models/aidc-llm-laos-24k-gemma-3-4b-it.html‎

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<title>Aidc Llm Laos 24k Gemma 3 4b It - GGUF Model</title>
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<meta name="description" content="Download Aidc Llm Laos 24k Gemma 3 4b It GGUF model. 8.5 GB, 199 downloads, 0 likes.">
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<meta name="description" content="Download Aidc Llm Laos 24k Gemma 3 4b It GGUF model. 8.5 GB, 230 downloads, 0 likes.">
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<meta name="keywords" content="Aidc Llm Laos 24k Gemma 3 4b It, GGUF, Unknown, Gemma, download, AI model">
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<meta property="og:description" content="Download Aidc Llm Laos 24k Gemma 3 4b It GGUF model. 8.5 GB, 230 downloads.">
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‎models/aitana-ta-2b-s-i1.html‎

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<title>Aitana Ta 2b S I1 - GGUF Model</title>
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<meta name="description" content="Download Aitana Ta 2b S I1 GGUF model. 1.8 GB, 1,572 downloads, 0 likes.">
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<meta name="keywords" content="Aitana Ta 2b S I1, GGUF, Q6_K, Unknown, download, AI model">
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<meta property="og:description" content="Download Aitana Ta 2b S I1 GGUF model. 1.8 GB, 1,572 downloads.">
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‎models/aitana-ta-2b-s.html‎

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<title>Aitana Ta 2b S - GGUF Model</title>
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<meta name="description" content="Download Aitana Ta 2b S GGUF model. 2.2 GB, 260 downloads, 0 likes.">
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<meta name="description" content="Download Aitana Ta 2b S GGUF model. 2.2 GB, 380 downloads, 0 likes.">
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<meta name="keywords" content="Aitana Ta 2b S, GGUF, Q8_0, Unknown, download, AI model">
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<meta property="og:description" content="Download Aitana Ta 2b S GGUF model. 2.2 GB, 380 downloads.">
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‎models/allthingsintel-apollo-v0-1-4b-thinking.html‎

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<title>Allthingsintel Apollo V0.1 4b Thinking - GGUF Model</title>
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<meta name="description" content="Download Allthingsintel Apollo V0.1 4b Thinking GGUF model. 4.0 GB, 720 downloads, 1 likes.">
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<meta name="keywords" content="Allthingsintel Apollo V0.1 4b Thinking, GGUF, Q8_0, Unknown, download, AI model">
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<link rel="canonical" href="https://local-ai-zone.github.io/models/allthingsintel-apollo-v0-1-4b-thinking.html">
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<meta property="og:title" content="Allthingsintel Apollo V0.1 4b Thinking - GGUF Model">
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<meta property="og:description" content="Download Allthingsintel Apollo V0.1 4b Thinking GGUF model. 4.0 GB, 720 downloads.">
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<meta property="og:url" content="https://local-ai-zone.github.io/models/allthingsintel-apollo-v0-1-4b-thinking.html">
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:root{--primary-color:#3B82F6;--secondary-color:#6B7280;--success-color:#10B981;--card-background:#FFFFFF;--text-primary:#111827;--text-secondary:#6B7280;--border-color:#E5E7EB;--border-radius:8px;--shadow-md:0 4px 6px -1px rgba(0,0,0,0.1);--transition:all 0.2s ease-in-out}
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*{box-sizing:border-box;margin:0;padding:0}
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body{font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;background:#F9FAFB;color:var(--text-primary);line-height:1.6;padding:20px}
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.container{max-width:400px;margin:0 auto}
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.model-card{background:var(--card-background);border:1px solid var(--border-color);border-radius:var(--border-radius);padding:1.5rem;box-shadow:var(--shadow-md)}
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.model-card-header{display:flex;justify-content:space-between;align-items:flex-start;margin-bottom:1rem}
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.model-number{background:var(--primary-color);color:white;padding:0.25rem 0.5rem;border-radius:var(--border-radius);font-size:0.75rem;font-weight:600}
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.model-metrics{display:flex;align-items:center;gap:0.75rem}
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.download-count,.engagement-count{display:flex;align-items:center;gap:0.25rem;font-size:0.75rem;color:var(--text-secondary)}
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.engagement-count .engagement-icon{font-size:0.875rem}
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.engagement-count .engagement-number{font-weight:500}
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.model-name-container{margin-bottom:1rem}
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.model-name{font-size:1.125rem;font-weight:600;color:var(--text-primary);margin:0;word-break:break-word}
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.model-details{display:grid;grid-template-columns:auto 1fr;gap:0.5rem 1rem;margin-bottom:1.5rem;font-size:0.875rem}
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.detail-label{color:var(--text-secondary);font-weight:500}
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.detail-value{color:var(--text-primary)}
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.quantization-badge{background:#EFF6FF;color:var(--primary-color);padding:0.125rem 0.5rem;border-radius:9999px;font-size:0.75rem;font-weight:500}
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.system-requirements{margin-bottom:1.5rem;padding:1rem;background:#F8FAFC;border:1px solid var(--border-color);border-radius:var(--border-radius)}
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.requirements-title{font-size:0.875rem;font-weight:600;color:var(--text-primary);margin-bottom:0.75rem}
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.requirements-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(120px,1fr));gap:0.75rem}
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.requirement-item{display:flex;align-items:center;gap:0.5rem}
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.requirement-item.gpu-required{grid-column:1/-1}
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.requirement-icon{font-size:1rem}
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.requirement-content{display:flex;flex-direction:column;gap:0.125rem}
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.requirement-label{font-size:0.75rem;color:var(--text-secondary);font-weight:500}
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.requirement-value{font-size:0.75rem;color:var(--text-primary);font-weight:600}
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.compatibility-indicator{margin-top:0.5rem;text-align:center}
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.compatibility-status{font-size:0.75rem;padding:0.25rem 0.5rem;border-radius:var(--border-radius);font-weight:500}
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.compatibility-status.compatible{background:#DCFCE7;color:#166534}
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.compatibility-status.incompatible{background:#FEE2E2;color:#DC2626}
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.model-actions{display:flex;gap:0.5rem;flex-wrap:wrap}
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.btn{display:inline-flex;align-items:center;gap:0.5rem;padding:0.5rem 1rem;border-radius:var(--border-radius);text-decoration:none;font-size:0.875rem;font-weight:500;transition:var(--transition)}
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.btn-primary{background:var(--primary-color);color:white}
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.btn-primary:hover{background:#2563EB}
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.btn-secondary{background:#F3F4F6;color:var(--text-primary);border:1px solid var(--border-color)}
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.btn-secondary:hover{background:#E5E7EB}
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.meta{margin-top:1.5rem;padding-top:1rem;border-top:1px solid var(--border-color);font-size:0.75rem;color:var(--text-secondary)}
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.meta a{color:var(--primary-color);text-decoration:none}
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.meta a:hover{text-decoration:underline}
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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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<div class="model-card">
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<div class="model-card-header">
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<div class="model-number">#1</div>
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<div class="model-metrics">
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<div class="download-count" title="720 downloads">
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<svg width="16" height="16" viewBox="0 0 24 24" fill="currentColor">
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<path d="M5 20h14v-2H5v2zM19 9h-4V3H9v6H5l7 7 7-7z"/>
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</svg>
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720
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</div>
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<div class="engagement-count" title="1 likes">
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<span class="engagement-icon">🤍</span>
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<span class="engagement-number">1</span>
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</div>
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</div>
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</div>
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<div class="model-name-container">
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<h3 class="model-name" title="Allthingsintel Apollo V0.1 4b Thinking">Allthingsintel Apollo V0.1 4b Thinking</h3>
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</div>
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<div class="model-details">
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<span class="detail-label">Quantization:</span>
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<span class="quantization-badge">Q8_0</span>
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</span>
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<span class="detail-label">File Size:</span>
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<span class="detail-value">4.0 GB</span>
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<span class="detail-label">Model Type:</span>
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<span class="detail-value">Unknown</span>
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<span class="detail-label">License:</span>
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<span class="detail-value" title="Not specified">Not specified</span>
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<span class="detail-label">Upload Date:</span>
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<span class="detail-value">November 3, 2025 (Recently uploaded)</span>
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</div>
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<div class="system-requirements">
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<h4 class="requirements-title">System Requirements</h4>
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<div class="requirements-grid">
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<div class="requirement-item">
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<div class="requirement-icon">🖥️</div>
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<div class="requirement-content">
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<span class="requirement-label">CPU</span>
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<span class="requirement-value">4+ cores</span>
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</div>
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</div>
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<div class="requirement-item">
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<div class="requirement-icon">💾</div>
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<div class="requirement-content">
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<span class="requirement-label">RAM</span>
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<span class="requirement-value">8+ GB</span>
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</div>
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<span class="compatibility-status compatible">✅ Entry Level+ compatible</span>
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</div>
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</div>
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<div class="model-actions">
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<a href="https://huggingface.co/bartowski/AllThingsIntel_Apollo-V0.1-4B-Thinking-GGUF/resolve/main/AllThingsIntel_Apollo-V0.1-4B-Thinking-Q8_0.gguf" class="btn btn-primary">
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<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
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<path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/>
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<polyline points="7,10 12,15 17,10"/>
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<line x1="12" y1="15" x2="12" y2="3"/>
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</svg>
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Download GGUF
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</a>
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