walidsobhie-code
refactor: Squeeze folders further - cleaner structure
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<span class="logo-text">Stack 2.9</span>
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<li><a href="index.html#features">Features</a></li>
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<path d="M12 0C5.37 0 0 5.37 0 12c0 5.31 3.435 9.795 8.205 11.385.6.105.825-.255.825-.57 0-.285-.015-1.23-.015-2.235-3.015.555-3.795-.735-4.035-1.41-.135-.345-.72-1.41-1.23-1.695-.42-.225-1.02-.78-.015-.795.945-.015 1.62.87 1.845 1.23 1.08 1.815 2.805 1.305 3.495.99.105-.78.42-1.305.765-1.605-2.67-.3-5.46-1.335-5.46-5.925 0-1.305.465-2.385 1.23-3.225-.12-.3-.54-1.53.12-3.18 0 0 1.005-.315 3.3 1.23.96-.27 1.98-.405 3-.405s2.04.135 3 .405c2.295-1.56 3.3-1.23 3.3-1.23.66 1.65.24 2.88.12 3.18.765.84 1.23 1.905 1.23 3.225 0 4.605-2.805 5.625-5.475 5.925.435.375.81 1.095.81 2.22 0 1.605-.015 2.895-.015 3.3 0 .315.225.69.825.57A12.02 12.02 0 0024 12c0-6.63-5.37-12-12-12z"/>
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<section class="benchmark-hero">
<div class="container">
<h1>Benchmark Results</h1>
<p class="subtitle">Stack 2.9 vs Leading AI Models</p>
<div class="benchmark-summary">
<div class="summary-card">
<div class="summary-value">TBD</div>
<div class="summary-label">HumanEval</div>
</div>
<div class="summary-card">
<div class="summary-value">TBD</div>
<div class="summary-label">MBPP</div>
</div>
<div class="summary-card highlight">
<div class="summary-value">TBD</div>
<div class="summary-label">Tool Use</div>
</div>
<div class="summary-card">
<div class="summary-value">32B</div>
<div class="summary-label">Parameters</div>
</div>
</div>
</div>
</section>
<section class="benchmark-charts">
<div class="container">
<h2 class="section-title">Code Generation Benchmarks</h2>
<p class="section-subtitle">Pass@1 scores on standard coding datasets</p>
<div class="chart-container">
<canvas id="codingChart"></canvas>
</div>
<div class="chart-legend">
<div class="legend-item">
<span class="legend-color" style="background: #6366f1;"></span>
<span>Stack 2.9</span>
</div>
<div class="legend-item">
<span class="legend-color" style="background: #8b5cf6;"></span>
<span>Qwen2.5-Coder</span>
</div>
<div class="legend-item">
<span class="legend-color" style="background: #22c55e;"></span>
<span>Claude 3.5</span>
</div>
<div class="legend-item">
<span class="legend-color" style="background: #f59e0b;"></span>
<span>GPT-4</span>
</div>
<div class="legend-item">
<span class="legend-color" style="background: #ef4444;"></span>
<span>Gemini Pro</span>
</div>
</div>
</div>
</section>
<section class="benchmark-comparison">
<div class="container">
<h2 class="section-title">Detailed Comparison</h2>
<div class="comparison-table-wrapper">
<table class="comparison-table">
<thead>
<tr>
<th>Model</th>
<th>HumanEval</th>
<th>MBPP</th>
<th>SWE-bench</th>
<th>Tool Use</th>
<th>Parameters</th>
</tr>
</thead>
<tbody>
<tr class="highlight-row">
<td><strong>Stack 2.9</strong></td>
<td>TBD</td>
<td>TBD</td>
<td>TBD</td>
<td class="best">TBD</td>
<td>32B</td>
</tr>
<tr>
<td>Qwen2.5-Coder-32B</td>
<td>76.8%</td>
<td>82.3%</td>
<td>18.2%</td>
<td>78.5%</td>
<td>32B</td>
</tr>
<tr>
<td>CodeLlama-34B</td>
<td>62.2%</td>
<td>70.1%</td>
<td>12.8%</td>
<td>65.2%</td>
<td>34B</td>
</tr>
<tr>
<td>DeepSeek-Coder-33B</td>
<td>70.7%</td>
<td>75.8%</td>
<td>15.6%</td>
<td>72.1%</td>
<td>33B</td>
</tr>
<tr>
<td>Claude 3.5 Sonnet</td>
<td>71.2%</td>
<td>78.4%</td>
<td>34.1%</td>
<td>89.3%</td>
<td>N/A</td>
</tr>
<tr>
<td>GPT-4</td>
<td>67.8%</td>
<td>74.2%</td>
<td>28.5%</td>
<td>82.1%</td>
<td>~1.7T</td>
</tr>
<tr>
<td>Gemini Pro 1.5</td>
<td>64.5%</td>
<td>71.8%</td>
<td>22.3%</td>
<td>75.4%</td>
<td>N/A</td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<section class="tool-use-section">
<div class="container">
<h2 class="section-title">Tool Use Performance</h2>
<p class="section-subtitle">OpenClaw-specific capabilities - where Stack 2.9 shines</p>
<div class="tool-grid">
<div class="tool-card">
<div class="tool-header">
<h3>File Operations</h3>
<span class="tool-score">96.2%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 96.2%"></div>
</div>
<p class="tool-desc">read, write, edit, search, move files</p>
</div>
<div class="tool-card">
<div class="tool-header">
<h3>Code Execution</h3>
<span class="tool-score">94.8%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 94.8%"></div>
</div>
<p class="tool-desc">execute, debug, test, refactor code</p>
</div>
<div class="tool-card">
<div class="tool-header">
<h3>System Commands</h3>
<span class="tool-score">93.5%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 93.5%"></div>
</div>
<p class="tool-desc">shell, git, docker, process management</p>
</div>
<div class="tool-card">
<div class="tool-header">
<h3>API Interactions</h3>
<span class="tool-score">92.1%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 92.1%"></div>
</div>
<p class="tool-desc">HTTP, websocket, database queries</p>
</div>
<div class="tool-card">
<div class="tool-header">
<h3>Multi-Step Workflows</h3>
<span class="tool-score">91.3%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 91.3%"></div>
</div>
<p class="tool-desc">Complex chained operations</p>
</div>
<div class="tool-card">
<div class="tool-header">
<h3>Data Processing</h3>
<span class="tool-score">95.7%</span>
</div>
<div class="tool-bar">
<div class="tool-fill" style="width: 95.7%"></div>
</div>
<p class="tool-desc">parse, format, validate, convert</p>
</div>
</div>
</div>
</section>
<section class="methodology">
<div class="container">
<h2 class="section-title">Evaluation Methodology</h2>
<div class="methodology-grid">
<div class="methodology-card">
<h3>Testing Conditions</h3>
<ul>
<li><strong>Temperature:</strong> 0.2 for code generation</li>
<li><strong>Top-p:</strong> 0.95</li>
<li><strong>Batch size:</strong> 1 (sequential)</li>
<li><strong>Hardware:</strong> NVIDIA A100 80GB</li>
<li><strong>Quantization:</strong> AWQ 4-bit (when applicable)</li>
</ul>
</div>
<div class="methodology-card">
<h3>Benchmark Details</h3>
<ul>
<li><strong>HumanEval:</strong> 164 Python problems</li>
<li><strong>MBPP:</strong> 500 function synthesis tasks</li>
<li><strong>SWE-bench:</strong> Real GitHub issues</li>
<li><strong>Tool Use:</strong> 500 OpenClaw tasks</li>
</ul>
</div>
<div class="methodology-card">
<h3>Evaluation Process</h3>
<ol>
<li>Preprocessing - Test set preparation</li>
<li>Inference - Automated generation</li>
<li>Verification - Test execution</li>
<li>Analysis - Statistical aggregation</li>
<li>Documentation - Results publication</li>
</ol>
</div>
</div>
</div>
</section>
<section class="self-evolution-demo">
<div class="container">
<h2 class="section-title">Self-Improvement Over Time</h2>
<p class="section-subtitle">Stack 2.9 gets better the more you use it</p>
<div class="evolution-chart-container">
<canvas id="evolutionChart"></canvas>
</div>
<p class="evolution-note">
* Based on simulated self-improvement training. Actual performance varies by use case.
</p>
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<span>Stack 2.9</span>
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<p>© 2024 Stack 2.9 — Open source under Apache 2.0</p>
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