Sync cezen-portal/ from live working copy (V1.0 GA polish + search-icon ordering fix)
Brings the ISO-packaged portal copy current with the live cezen-portal/ working directory, which had drifted across the entire V1.0 GA polish initiative (Phases 1-10) plus this session's topnav icon-order bugfix. - 52 existing files updated, 2 new pages added (about.html, health.html) - cgit/cezen-portal/ is now byte-identical to cezen-portal/ - Backend files (rag_ingest.py, cezen_license.py) already in sync; main.py intentionally left as-is (cgit is ahead there with workstation-category commercial-fit logic not yet backported to the live working copy) Next: rebuild the ISO (bash autoinstall/build-iso.sh) to bake this in.
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@@ -4,7 +4,7 @@
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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>Model Comparison — Nexus One AI</title>
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<link rel="stylesheet" href="style.css?v=4">
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<link rel="stylesheet" href="style.css?v=12">
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<style>
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:root {
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--navy2: var(--surface);
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@@ -258,6 +258,7 @@
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<a href="dashboard.html">Dashboard</a>
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<a href="analytics.html">Usage Analytics</a>
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<a href="audit.html">Governance & Audit</a>
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<a href="health.html">Health Center</a>
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<a href="feedback.html">Feedback & Ratings</a>
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<span class="nav-drop-cat">MANAGE /</span>
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<a href="users.html">Users</a>
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@@ -297,7 +298,7 @@
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</div>
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</div>
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</nav>
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<a href="notifications.html" style="position:relative">🔔</a>
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<a href="notifications.html" class="nav-icon-btn" style="position:relative" aria-label="Notifications"><span class="icon-svg icon-sm" aria-hidden="true"><svg viewBox="0 0 24 24"><path d="M15 17h5l-1.4-1.4A2 2 0 0 1 18 14.2V11a6 6 0 1 0-12 0v3.2a2 2 0 0 1-.6 1.4L4 17h5"/><path d="M10 17a2 2 0 0 0 4 0"/></svg></span></a>
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<span class="badge" data-brand="tier">Basic Tier</span>
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<div id="nav-org-logo" class="nav-org-logo"></div>
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</header>
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@@ -573,10 +574,10 @@ Ultra-fast response from the smallest model. Best for simple tasks where speed i
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Quick answer: The 3B model handles straightforward Q&A, classification, and short-form generation efficiently.
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**Trade-offs vs larger models:**
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- ✅ Fastest inference time
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- ✅ Lowest memory footprint (~2GB VRAM)
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- ⚠️ Less nuanced reasoning
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- ⚠️ Shorter effective context window
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- Fastest inference time
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- Lowest memory footprint (~2GB VRAM)
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- Less nuanced reasoning
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- Shorter effective context window
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Ideal for: chatbots, quick lookups, real-time classification.`
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};
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@@ -766,12 +767,6 @@ function renderMd(raw) {
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return `<p>${html}</p>`;
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}
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function showToast(msg) {
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const t = document.getElementById('mc-toast');
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t.textContent = msg; t.classList.add('show');
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setTimeout(() => t.classList.remove('show'), 2200);
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}
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// ── Init ──────────────────────────────────────────────────────────────────────
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// Load import from compare button in other pages
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const compareImport = localStorage.getItem('cezen_compare_import');
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@@ -784,6 +779,6 @@ if (compareImport) {
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</script>
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<script src="auth.js"></script>
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<script src="branding.js"></script>
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<script src="branding.js?v=3"></script>
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</body>
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</html>
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