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  <head>
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  <meta charset="utf-8" />
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  <meta name="viewport" content="width=device-width, initial-scale=1" />
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- <title>ForgeLoopGRPO Dashboard</title>
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  <link rel="stylesheet" href="style.css" />
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  </head>
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  <body>
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  <div class="card">
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  <div class="header-row">
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  <h1>ForgeLoopGRPO</h1>
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- <span class="badge">vLLM 0.22.1</span>
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  </div>
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  <p class="description">
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- Optimized Group Relative Policy Optimization (GRPO) training framework built to run efficiently on a single local hardware setup.
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  </p>
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  <div class="stats-grid">
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  <div class="stat-box">
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- <span class="stat-label">Target Hardware</span>
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- <span class="stat-value">1x RTX 4090</span>
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  </div>
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  <div class="stat-box">
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- <span class="stat-label">Framework</span>
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- <span class="stat-value">vLLM Backend</span>
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  </div>
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  </div>
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  <div class="info-section">
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- <h3>Project Status</h3>
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- <p>This Space displays the project documentation and sync pipeline. The heavy training workloads run locally using the configuration stored in this repository.</p>
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  </div>
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  <div class="footer-links">
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- <a href="https://github.com" target="_blank" class="btn">View Source Code</a>
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- <a href="https://huggingface.co/docs/hub/spaces" target="_blank" class="btn secondary">Spaces Docs</a>
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  </div>
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  </div>
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  </body>
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  </html>
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-
 
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  <head>
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  <meta charset="utf-8" />
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  <meta name="viewport" content="width=device-width, initial-scale=1" />
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+ <title>ForgeLoopGRPO</title>
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  <link rel="stylesheet" href="style.css" />
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  </head>
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  <body>
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  <div class="card">
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  <div class="header-row">
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  <h1>ForgeLoopGRPO</h1>
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+ <span class="badge">Linux Only</span>
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  </div>
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  <p class="description">
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+ Optimized Group Relative Policy Optimization (GRPO) training framework built to execute locally via Linux CLI on custom hardware configurations.
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  </p>
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  <div class="stats-grid">
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  <div class="stat-box">
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+ <span class="stat-label">Local Compute Node</span>
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+ <span class="stat-value">1x RTX 4090 GPU</span>
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  </div>
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  <div class="stat-box">
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+ <span class="stat-label">Inference Engine</span>
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+ <span class="stat-value">vLLM 0.22.1</span>
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  </div>
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  </div>
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  <div class="info-section">
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+ <h3>Local Training Deployment</h3>
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+ <p>Because the heavy training pipeline requires local physical CUDA infrastructure, this Space serves as a central hub for code hosting, hyperparameter tracking, and documentation.</p>
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  </div>
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  <div class="footer-links">
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+ <a href="https://github.com" target="_blank" class="btn">View Github Repository</a>
 
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  </div>
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  </div>
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  </body>
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  </html>