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Model: Steelskull/L3-Aethora-15B Source: Original Platform
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README.md
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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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---
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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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</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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<p><strong>I've had a few people ask about donations so here's a link:</strong</p>
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</div>
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<div class="donation-section">
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<a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank">
|
||||
<img height="36" style="border:0px;height:36px;" src="https://storage.ko-fi.com/cdn/kofi2.png?v=3" border="0" alt="Buy Me a Coffee at ko-fi.com" />
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</a>
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</div>
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</div>
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</div>
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config.json
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
}
|
||||
}
|
||||
410504
tokenizer.json
Normal file
410504
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2065
tokenizer_config.json
Normal file
2065
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user