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--- |
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license: llama3 |
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datasets: |
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- TheSkullery/Aether-Lite-V1.2 |
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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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width: 100%; /* Full width */ |
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background-color: rgba(255, 255, 255, 0.02); |
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box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2); |
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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-NA-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-NA-Aethora-15B</h1> |
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<p><strong>This is the NON-Abliterated VERSION and Experimental!!</strong></p> |
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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-NA-Aethora-15B.</p> |
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<p><strong>This is the NON-Abliterated VERSION and Experimental!!</strong></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-NA-Aethora-15B:</h1> |
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<pre><code>L3 = Llama3 |
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NA = NON-ABLITERATED</code></pre> |
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<p>L3-NA-Aethora-15B was crafted by using 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 Meta-Llama-3-15b-Instruct.<br> |
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<p>Meta-Llama-3-15b-Instruct 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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<p></p> |
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<h2>Quants:</h2> |
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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> |
