Update index.html

index.html

@@ -273,7 +273,7 @@
                 <div class="metric-card">
                     <h4>Speed Comparison</h4>
                     <p>GPT-2 is faster at ~47 tok/sec compared to SnowflakeCore's ~22-23 tok/sec.</p>
-                </p>
+                </div>
             </div>
         </div>
 
@@ -281,22 +281,22 @@
             <h2>Model Specifications</h2>
             <div class="specs-grid">
                 <div class="spec-item snowflake">
-                    <h4>SnowflakeCore GT-Tiny</h4>
-                    <p><strong>Parameters:</strong> 407M</p>
-                    <p><strong>Size:</strong> ~1350MB</p>
-                    <p><strong>Speed:</strong> ~22 tok/sec</p>
+                    <h4>SnowflakeCore-G1-Tiny</h4>
+                    <p><strong>Parameters:</strong> 355,871,744</p>
+                    <p><strong>Size:</strong> 1357.54 MB</p>
+                    <p><strong>Speed:</strong> 22.12 tok/sec</p>
                 </div>
                 <div class="spec-item snowflake">
-                    <h4>SnowflakeCore GT-Tiny2</h4>
-                    <p><strong>Parameters:</strong> ~407M</p>
-                    <p><strong>Size:</strong> ~1350MB</p>
-                    <p><strong>Speed:</strong> ~23 tok/sec</p>
+                    <h4>SnowflakeCore-G1-Tiny2</h4>
+                    <p><strong>Parameters:</strong> 355,871,744</p>
+                    <p><strong>Size:</strong> 1357.54 MB</p>
+                    <p><strong>Speed:</strong> 22.13 tok/sec</p>
                 </div>
                 <div class="spec-item gpt2">
                     <h4>GPT-2</h4>
-                    <p><strong>Parameters:</strong> ~124M-774M</p>
-                    <p><strong>Size:</strong> ~450MB</p>
-                    <p><strong>Speed:</strong> ~47 tok/sec</p>
+                    <p><strong>Parameters:</strong> 124,439,808</p>
+                    <p><strong>Size:</strong> 474.70 MB</p>
+                    <p><strong>Speed:</strong> 47.73 tok/sec</p>
                 </div>
             </div>
         </div>
@@ -316,14 +316,14 @@
                 datasets: [
                     {
                         label: 'Bigram',
-                        data: [0.61, 0.74, 0.63],
+                        data: [0.6111, 0.7408, 0.6408], /* Updated data */
                         backgroundColor: 'rgba(139, 233, 253, 0.7)', /* Consistent light blue */
                         borderColor: 'rgba(139, 233, 253, 1)',
                         borderWidth: 1
                     },
                     {
                         label: 'Trigram',
-                        data: [0.74, 0.87, 0.79],
+                        data: [0.7421, 0.8834, 0.7946], /* Updated data */
                         backgroundColor: 'rgba(80, 250, 123, 0.7)', /* Consistent green */
                         borderColor: 'rgba(80, 250, 123, 1)',
                         borderWidth: 1
@@ -382,7 +382,7 @@
                 labels: ['GT-Tiny', 'GT-Tiny2', 'GPT-2'],
                 datasets: [{
                     label: 'Tokens per Second',
-                    data: [22, 23, 47],
+                    data: [22.12, 22.13, 47.73], /* Updated data */
                     backgroundColor: 'rgba(139, 233, 253, 0.7)', /* Single color for all bars */
                     borderColor: 'rgba(139, 233, 253, 1)',
                     borderWidth: 1
@@ -437,14 +437,14 @@
                 datasets: [
                     {
                         label: 'Bigram',
-                        data: [0.39, 0.26, 0.36],
+                        data: [0.3889, 0.2592, 0.3592], /* Updated data */
                         backgroundColor: 'rgba(189, 147, 249, 0.7)', /* Consistent purple */
                         borderColor: 'rgba(189, 147, 249, 1)',
                         borderWidth: 1
                     },
                     {
                         label: 'Trigram',
-                        data: [0.25, 0.12, 0.21],
+                        data: [0.2579, 0.1166, 0.2054], /* Updated data */
                         backgroundColor: 'rgba(255, 85, 85, 0.7)', /* Consistent red */
                         borderColor: 'rgba(255, 85, 85, 1)',
                         borderWidth: 1
@@ -503,7 +503,7 @@
                 labels: ['GT-Tiny', 'GT-Tiny2', 'GPT-2'],
                 datasets: [{
                     label: 'Vocabulary Diversity Ratio',
-                    data: [0.28, 0.34, 0.26],
+                    data: [0.2780, 0.3440, 0.2590], /* Updated data */
                     backgroundColor: 'rgba(80, 250, 123, 0.7)', /* Single color for all bars */
                     borderColor: 'rgba(80, 250, 123, 1)',
                     borderWidth: 1