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  <li><strong>K2</strong>: Fine-tuned on broader/general-purpose data</li>
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  <li><strong>K3</strong>: Fine-tuned for clarity and simplicity</li>
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  </ul>
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- <p>K stands for <em>Knowledge</em>, with higher numbers representing more advanced training stages.</p>
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  </div>
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  <div class="section">
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  </ul>
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  </div>
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- <div class="section">
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- <h2>Training Objectives</h2>
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- <p>All models aim to reach a target training loss that signifies strong generalization ability. Training is monitored using:</p>
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- <ul>
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- <li>Loss convergence</li>
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- <li>Gradient norms</li>
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- <li>Learning rate schedules</li>
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- <li>Evaluation tasks (math, logic, generation)</li>
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- </ul>
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- </div>
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-
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  <div class="section">
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  <h2>Contact & More</h2>
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  <p>Developed and maintained by <strong>PingVortex</strong>.</p>
 
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  <li><strong>K2</strong>: Fine-tuned on broader/general-purpose data</li>
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  <li><strong>K3</strong>: Fine-tuned for clarity and simplicity</li>
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  </ul>
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+ <p>K stands for <em>Knowledge</em>, with higher numbers representing more advanced training stages. <strong>Higher doesn't mean the model has more parameters!</strong></p>
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  </div>
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  <div class="section">
 
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  </ul>
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  </div>
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  <div class="section">
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  <h2>Contact & More</h2>
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  <p>Developed and maintained by <strong>PingVortex</strong>.</p>