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+ ---
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+ library_name: transformers
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+ tags:
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+ - llama-factory
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+ license: llama3
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+ datasets:
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+ - TheSkullery/Aether-Lite-V1.2
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+ base_model: Steelskull/L3-Aethora-15B
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # QuantFactory/L3-Aethora-15B-GGUF
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+ This is quantized version of [Steelskull/L3-Aethora-15B](https://huggingface.co/Steelskull/L3-Aethora-15B) created using llama.cpp
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+
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+ # Model Description
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+
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+ <!DOCTYPE html>
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+ <style>
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+ body, html {
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+ height: 100%; /* Ensure the full height of the page is used */
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+ margin: 0;
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+ padding: 0;
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+ font-family: 'Quicksand', sans-serif;
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+ background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%);
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+ color: #D8DEE9;
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+ font-size: 16px;
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+ }
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+
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+ .container {
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+ width: 100%; /* Full width */
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+ height: 100%; /* Full height */
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+ padding: 20px;
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+ margin: 0; /* Remove margin to fill the entire area */
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+ background-color: rgba(255, 255, 255, 0.02);
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+ border-radius: 12px;
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+ box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2);
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+ backdrop-filter: blur(10px);
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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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+ .header h1 {
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+ font-size: 28px;
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+ color: #5F9EA0;
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+ margin: 0 0 20px 0;
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+ text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
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+ }
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+
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+ .update-section h2 {
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+ font-size: 24px;
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+ color: #88C0D0;
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+ }
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+
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+ .update-section p {
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+ font-size: 16px;
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+ line-height: 1.6;
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+ color: #ECEFF4;
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+ }
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+
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+ .info img {
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+ width: 100%;
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+ border-radius: 10px;
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+ margin-bottom: 15px;
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+ }
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+
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+ a {
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+ color: #88C0D0;
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+ text-decoration: none;
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+ }
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+
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+ a:hover {
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+ color: #A3BE8C;
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+ }
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+
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+ .button {
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+ display: inline-block;
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+ background-color: #5E81AC;
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+ color: #E5E9F0;
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+ padding: 10px 20px;
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+ border-radius: 5px;
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+ cursor: pointer;
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+ text-decoration: none;
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+ }
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+
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+ .button:hover {
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+ background-color: #81A1C1;
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+ }
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+
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+ pre {
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+ background-color: #2E3440;
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+ padding: 10px;
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+ border-radius: 5px;
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+ overflow-x: auto;
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+ }
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+
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+ code {
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+ font-family: 'Courier New', monospace;
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+ color: #D8DEE9;
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+ }
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+ </style>
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+
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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>L3-Aethora-15B Data Card</title>
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+ <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
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+ </head>
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+ <body>
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+ <div class="container">
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+ <div class="header">
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+ <h1>L3-Aethora-15B</h1>
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+ </div>
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+ <div class="info">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/W0qzZK_V1Zt1GdgCIsnrP.png">
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+ <p>The Skullery Presents L3-Aethora-15B.</p>
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+ <p><strong>Creator:</strong> <a href="https://huggingface.co/steelskull" target="_blank">Steelskull</a></p>
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+ <p><strong>Dataset:</strong> <a href="https://huggingface.co/datasets/TheSkullery/Aether-Lite-V1.2" target="_blank">Aether-Lite-V1.2</a></p>
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+ <p><strong>Trained:</strong> 4 x A100 for 15 hours Using RsLora and DORA</p>
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+ <h1>About L3-Aethora-15B:</h1>
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+ <pre><code> L3 = Llama3 </code></pre>
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+ <p>L3-Aethora-15B was crafted through using the abilteration method to adjust model responses. The model's refusal is inhibited, focusing on yielding more compliant and facilitative dialogue interactions. It then underwent a modified DUS (Depth Up Scale) merge (originally used by @Elinas) by using passthrough merge to create a 15b model, with specific adjustments (zeroing) to 'o_proj' and 'down_proj', enhancing its efficiency and reducing perplexity. This created AbL3In-15b.<br>
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+ <p>AbL3In-15b was then trained for 4 epochs using Rslora & DORA training methods on the Aether-Lite-V1.2 dataset, containing ~82000 high quality samples, designed to strike a fine balance between creativity, slop, and intelligence at about a 60/40 split</p>
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+ <p>This model is trained on the L3 prompt format.</p>
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+ <h2>Quants:</h2>
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+ <li><a href="https://huggingface.co/mradermacher/L3-Aethora-15B-GGUF" target="_blank">Mradermacher/L3-Aethora-15B-GGUF</a></li>
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+ <li><a href="https://huggingface.co/mradermacher/L3-Aethora-15B-i1-GGUF" target="_blank">Mradermacher/L3-Aethora-15B-i1-GGUF</a></li>
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+ <li><a href="https://huggingface.co/NikolayKozloff" target="_blank">NikolayKozloff/L3-Aethora-15B-GGUF</a></li>
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+ <p></p>
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+ <h2>Dataset Summary: (Filtered)</h2>
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+ <p>Filtered Phrases: GPTslop, Claudism's</p>
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+ <ul>
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+ <li><strong>mrfakename/Pure-Dove-ShareGPT:</strong> Processed 3707, Removed 150</li>
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+ <li><strong>mrfakename/Capybara-ShareGPT:</strong> Processed 13412, Removed 2594</li>
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+ <li><strong>jondurbin/airoboros-3.2:</strong> Processed 54517, Removed 4192</li>
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+ <li><strong>PJMixers/grimulkan_theory-of-mind-ShareGPT:</strong> Processed 533, Removed 6</li>
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+ <li><strong>grimulkan/PIPPA-augmented-dedup:</strong> Processed 869, Removed 46</li>
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+ <li><strong>grimulkan/LimaRP-augmented:</strong> Processed 790, Removed 14</li>
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+ <li><strong>PJMixers/grimulkan_physical-reasoning-ShareGPT:</strong> Processed 895, Removed 4</li>
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+ <li><strong>MinervaAI/Aesir-Preview:</strong> Processed 994, Removed 6</li>
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+ <li><strong>Doctor-Shotgun/no-robots-sharegpt:</strong> Processed 9911, Removed 89</li>
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+ </ul>
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+ <h2>Deduplication Stats:</h2>
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+ <p>Starting row count: 85628, Final row count: 81960, Rows removed: 3668</p>
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+ </div>
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+ </div>
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+ </body>
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+ </html>