SteelStorage
/

Aura-llama

@@ -1,39 +1,55 @@
 ---
 license: apache-2.0
 ---
-# Aura-llama
-![image/webp](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/QYpWMEXTe0_X3A7HyeBm0.webp)
-Now that the cute anime girl has your attention.
-Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining.
-Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.
-Aura-llama is a merge of the following models to create a base model to work from:
-* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
-* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
-## Merged Evals: (Has Not Been Finetuned)
-Aura-llama
-* Avg: ?
-* ARC: ?
-* HellaSwag: ?
-* MMLU: ?
-* T-QA: ?
-* Winogrande: ?
-* GSM8K: ?
-## 🧩 Configuration
-```
-slices:
-  - sources:
-    - model: meta-llama/Meta-Llama-3-8B-Instruct
-      layer_range: [0, 23]
-  - sources:
-    - model: meta-llama/Meta-Llama-3-8B-Instruct
-      layer_range: [7, 31]
-merge_method: passthrough
-dtype: bfloat16
-```

 ---
 license: apache-2.0
 ---
+<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Aura-llama Data Card</title>
+  <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
+  <style> body { font-family: 'Quicksand', sans-serif; background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%); color: #D8DEE9; margin: 0; padding: 0; font-size: 16px; }
+    .container { width: 80%; max-width: 800px; margin: 20px auto; background-color: rgba(255, 255, 255, 0.02); padding: 20px; border-radius: 12px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2); backdrop-filter: blur(10px); border: 1px solid rgba(255, 255, 255, 0.1); }
+    .header h1 { font-size: 28px; color: #ECEFF4; margin: 0 0 20px 0; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3); }
+    .update-section { margin-top: 30px; } .update-section h2 { font-size: 24px; color: #88C0D0; }
+    .update-section p { font-size: 16px; line-height: 1.6; color: #ECEFF4; }
+    .info img { width: 100%; border-radius: 10px; margin-bottom: 15px; }
+    a { color: #88C0D0; text-decoration: none; }
+    a:hover { color: #A3BE8C; }
+    pre { background-color: rgba(255, 255, 255, 0.05); padding: 10px; border-radius: 5px; overflow-x: auto; }
+    code { font-family: 'Courier New', monospace; color: #A3BE8C; } </style> </head> <body> <div class="container">
+      <div class="header">
+        <h1>Aura-llama</h1> </div> <div class="info">
+          <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/QYpWMEXTe0_X3A7HyeBm0.webp" alt="Aura-llama image">
+          <p>Now that the cute anime girl has your attention.</p>
+          <p>Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining. Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.</p>
+          <p>Aura-llama is a merge of the following models to create a base model to work from:</p>
+          <ul>
+            <li><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct">meta-llama/Meta-Llama-3-8B-Instruct</a></li>
+            <li><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct">meta-llama/Meta-Llama-3-8B-Instruct</a></li>
+          </ul>
+        </div>
+      <div class="update-section">
+        <h2>Merged Evals (Has Not Been Finetuned):</h2>
+        <p>Aura-llama</p>
+        <ul>
+          <li>Avg: ?</li>
+          <li>ARC: ?</li>
+          <li>HellaSwag: ?</li>
+          <li>MMLU: ?</li>
+          <li>T-QA: ?</li>
+          <li>Winogrande: ?</li>
+          <li>GSM8K: ?</li>
+        </ul>
+      </div>
+      <div class="update-section">
+        <h2>🧩 Configuration</h2>
+        <pre><code>
+          slices:
+            - sources:
+              - model: meta-llama/Meta-Llama-3-8B-Instruct layer_range: [0, 23]
+            - sources:
+              - model: meta-llama/Meta-Llama-3-8B-Instruct layer_range: [7, 31]
+          merge_method: passthrough
+          dtype: bfloat16
+        </code></pre>
+      </div>
+    </div>
+    </body>
+    </html>