Update README.md

README.md

@@ -845,7 +845,7 @@ a:hover .link-arrow {
         <div class="creator-badge">
           <span class="creator-label">Created by</span>
           <a href="https://huggingface.co/suayptalha" target="_blank" class="creator-link">
-            <span class="creator-name">SteelSkull</span>
+            <span class="creator-name">suayptalha</span>
             <span class="creator-arrow">→</span>
           </a>
         </div>
@@ -856,30 +856,29 @@ a:hover .link-arrow {
           <div class="info-header">
             <h3>L3.3-Nevoria-R1-70b</h3>
             <div class="model-tags">
-              <span class="model-tag">L3.3 = Llama 3.3</span>
-              <span class="model-tag">R1 = DeepSeek-R1</span>
+              <span class="model-tag">suayptalha/Maestro-10B</span>
+              <span class="model-tag">arcee-ai/Virtuoso-Lite</span>
+              <span class="model-tag">DeepSeek-V3</span>
               <span class="model-tag">10b Parameters</span>
             </div>
           </div>
           <div class="model-composition">
-            <h4>Model Composition</h4>
+            <h4>Base Model</h4>
             <ul class="composition-list">
-              <li><span class="model-component"><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1" target="_blank">EVA-LLAMA-0.1</a></span> Storytelling capabilities</li>
-              <li><span class="model-component"><a href="https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3" target="_blank">EURYALE-v2.3</a></span> Detailed scene descriptions</li>
-              <li><span class="model-component"><a href="https://huggingface.co/TheDrummer/Anubis-70B-v1" target="_blank">Anubis-v1</a></span> Enhanced prose details</li>
-              <li><span class="model-component"><a href="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B" target="_blank">Negative_LLAMA</a></span> Reduced positive bias</li>
-              <li><span class="model-component"><a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B" target="_blank">DeepSeek-R1-Distill-Llama-70B</a></span> Increased Intelligence / Dialog / Awareness</li>
-              <li><span class="model-component base-model"><a href="https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B" target="_blank">Nemotron-lorablated</a></span> Base model</li>
+              <li><span class="model-component"><a href="arcee-ai/Virtuoso-Lite" target="_blank">EVA-LLAMA-0.1</a></span></li>
             </ul>
           </div>
           <div class="model-description">
-            Maestro-10B is a 10 billion parameter model built upon the Virtuoso-Lite architecture, 
-            enhanced by fine-tuning with 10,000 carefully selected data points from the OpenOrca dataset. 
-            This process imbues Maestro with improved capabilities in following instructions and generating 
-            creative, contextually relevant responses.  While Virtuoso-Lite provides a strong foundation, 
-            the OpenOrca fine-tuning specifically targets enhancing the model's ability to understand and 
-            respond to complex prompts.  This training regimen was chosen to optimize the model's performance 
-            in tasks requiring both comprehension and imaginative text generation.
+            Maestro-10B is a 10 billion parameter model fine-tuned from Virtuoso-Lite,
+            a next-generation language model developed by arcee-ai. Virtuoso-Lite itself
+            is based on the Llama-3 architecture, distilled from Deepseek-v3 using
+            approximately 1.1 billion tokens/logits. This distillation process allows
+            Virtuoso-Lite to achieve robust performance with a smaller parameter count,
+            excelling in reasoning, code generation, and mathematical problem-solving.
+            Maestro-10B inherits these strengths from its base model, Virtuoso-Lite, and
+            further enhances them through fine-tuning on the OpenOrca dataset. This combination
+            of a distilled base model and targeted fine-tuning makes Maestro-10B a powerful and
+            efficient language model.
           </div>
         </div>
       <div class="support-section">