Update README.md

README.md

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       <p>The Skullery Presents L3-Aethora-15B.</p>
       <p><strong>Creator:</strong> <a href="https://huggingface.co/steelskull" target="_blank">Steelskull</a></p>
       <p><strong>Dataset:</strong> <a href="https://huggingface.co/datasets/TheSkullery/Aether-Lite-V1.2" target="_blank">Aether-Lite-V1.2</a></p>
-      <p><strong>Trained:</strong> 4 x A100 for 15 hours</p>
+      <p><strong>Trained:</strong> 4 x A100 for 15 hours Using RsLora and DORA</p>
       <h1>About L3-Aethora-15B:</h1>
       <pre><code> L3 = Llama3 </code></pre>
-      <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 underwent a specialized merging process (originally used by @Elias) by using passthrough merge to create a 15b model, with specific adjustments to 'o_proj' and 'down_proj' settings, enhancing its efficiency and reducing perplexity. This created AbL3In-15b.<br>
-      <p>AbL3In-15b was then fine-tuned on the Aether-Lite-V1 dataset, containing ~82000 high quality samples, designed to strike a fine balance between creativity, slop, and intelligence at about a 60/40 split</p>  
+      <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 @Elias) 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>
+      <p>AbL3In-15b was then trained for 4 epochs using Rslora & DORA training methods on the Aether-Lite-V1 dataset, containing ~82000 high quality samples, designed to strike a fine balance between creativity, slop, and intelligence at about a 60/40 split</p>  
       <p>Filtered Phrases: GPTslop, Claudism's</p>
       <h2>Dataset Summary: (Filtered)</h2>
       <ul>