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<!DOCTYPE html> |
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<html lang="en"> |
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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=1.0"> |
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<title>ML Model Memory Calculator</title> |
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<style> |
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:root { |
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--primary-color: #4a6fa5; |
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--secondary-color: #166088; |
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--accent-color: #4fc3a1; |
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--background-color: #f8f9fa; |
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--card-color: #ffffff; |
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--text-color: #333333; |
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--light-gray: #f0f0f0; |
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--border-color: #dee2e6; |
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} |
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body { |
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; |
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line-height: 1.6; |
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color: var(--text-color); |
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background-color: var(--background-color); |
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margin: 0; |
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padding: 20px; |
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} |
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.container { |
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max-width: 900px; |
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margin: 0 auto; |
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padding: 20px; |
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background-color: var(--card-color); |
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border-radius: 8px; |
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); |
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} |
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h1 { |
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color: var(--primary-color); |
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text-align: center; |
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margin-bottom: 20px; |
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} |
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.input-section { |
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display: flex; |
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flex-direction: column; |
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gap: 10px; |
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margin-bottom: 30px; |
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background-color: var(--light-gray); |
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padding: 20px; |
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border-radius: 8px; |
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} |
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.input-group { |
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display: flex; |
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flex-wrap: wrap; |
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gap: 15px; |
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align-items: center; |
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} |
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label { |
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font-weight: 600; |
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min-width: 180px; |
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} |
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input { |
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flex: 1; |
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padding: 10px; |
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border: 1px solid var(--border-color); |
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border-radius: 4px; |
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font-size: 16px; |
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} |
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.buttons { |
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display: flex; |
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gap: 10px; |
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margin-top: 10px; |
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} |
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button { |
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padding: 10px 20px; |
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background-color: var(--primary-color); |
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color: white; |
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border: none; |
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border-radius: 4px; |
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cursor: pointer; |
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font-size: 16px; |
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transition: background-color 0.2s; |
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} |
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button:hover { |
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background-color: var(--secondary-color); |
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} |
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.preset-buttons { |
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display: flex; |
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flex-wrap: wrap; |
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gap: 10px; |
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margin-top: 15px; |
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} |
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.preset-button { |
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background-color: var(--accent-color); |
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padding: 8px 12px; |
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font-size: 14px; |
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} |
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.preset-button:hover { |
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background-color: #3da58a; |
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} |
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#results-container { |
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margin-top: 20px; |
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overflow-x: auto; |
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} |
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table { |
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width: 100%; |
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border-collapse: collapse; |
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margin-top: 10px; |
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table-layout: fixed; |
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} |
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th, td { |
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padding: 12px 15px; |
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text-align: left; |
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border-bottom: 1px solid var(--border-color); |
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} |
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th { |
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background-color: var(--primary-color); |
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color: white; |
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position: sticky; |
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top: 0; |
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} |
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tr:nth-child(even) { |
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background-color: var(--light-gray); |
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} |
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.tooltip { |
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position: relative; |
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display: inline-block; |
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cursor: help; |
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margin-left: 5px; |
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} |
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.tooltip .tooltiptext { |
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visibility: hidden; |
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width: 280px; |
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background-color: #555; |
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color: #fff; |
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text-align: left; |
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border-radius: 6px; |
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padding: 8px; |
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position: absolute; |
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z-index: 1; |
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bottom: 125%; |
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left: 50%; |
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transform: translateX(-50%); |
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opacity: 0; |
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transition: opacity 0.3s; |
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font-size: 14px; |
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} |
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.tooltip:hover .tooltiptext { |
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visibility: visible; |
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opacity: 1; |
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} |
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.model-size { |
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font-size: 18px; |
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font-weight: bold; |
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text-align: center; |
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margin: 15px 0; |
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color: var(--secondary-color); |
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} |
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@media (max-width: 768px) { |
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.input-group { |
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flex-direction: column; |
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align-items: flex-start; |
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} |
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input { |
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width: 100%; |
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} |
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.buttons { |
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flex-direction: column; |
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} |
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} |
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footer { |
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text-align: center; |
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margin-top: 30px; |
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font-size: 14px; |
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color: #6c757d; |
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} |
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</style> |
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</head> |
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<body> |
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<div class="container"> |
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<h1>ML Model Memory Calculator</h1> |
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<div class="input-section"> |
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<div class="input-group"> |
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<label for="parameters">Number of Parameters:</label> |
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<input type="text" id="parameters" placeholder="e.g., 7000000000 for 7B"> |
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<div class="tooltip">ⓘ |
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<span class="tooltiptext">Enter the total number of parameters in your model. For example, use 7000000000 for a 7B parameter model.</span> |
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</div> |
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</div> |
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<div class="buttons"> |
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<button id="calculate-btn">Calculate</button> |
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<button id="clear-btn">Clear</button> |
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</div> |
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<div class="preset-buttons"> |
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<span>Presets: </span> |
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<button class="preset-button" data-value="200000000">200M</button> |
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<button class="preset-button" data-value="500000000">500M</button> |
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<button class="preset-button" data-value="1000000000">1B</button> |
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<button class="preset-button" data-value="2000000000">2B</button> |
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<button class="preset-button" data-value="7000000000">7B</button> |
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<button class="preset-button" data-value="13000000000">13B</button> |
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<button class="preset-button" data-value="34000000000">34B</button> |
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<button class="preset-button" data-value="70000000000">70B</button> |
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<button class="preset-button" data-value="175000000000">175B</button> |
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</div> |
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</div> |
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<div id="model-size" class="model-size"></div> |
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<div id="results-container"> |
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<table id="results-table"> |
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<thead> |
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<tr> |
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<th>Precision</th> |
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<th>Bytes/Param</th> |
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<th>Memory</th> |
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<th>MB</th> |
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<th>GB</th> |
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<th>TB</th> |
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</tr> |
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</thead> |
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<tbody id="results-body"> |
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</tbody> |
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</table> |
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</div> |
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<footer> |
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<p>A simple tool to estimate the memory requirements for ML models of different sizes and precision types.</p> |
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</footer> |
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</div> |
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<script> |
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function calculateModelMemory(numParameters) { |
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const precisionTypes = { |
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"float32": 4, |
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"float16": 2, |
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"bfloat16": 2, |
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"int8": 1, |
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"int4": 0.5, |
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"int2": 0.25, |
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"int1": 0.125 |
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}; |
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const results = {}; |
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for (const [precision, bytesPerParam] of Object.entries(precisionTypes)) { |
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const totalBytes = numParameters * bytesPerParam; |
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results[precision] = { |
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"bytesPerParam": bytesPerParam, |
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"bytes": totalBytes, |
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"KB": totalBytes / 1024, |
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"MB": totalBytes / (1024**2), |
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"GB": totalBytes / (1024**3), |
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"TB": totalBytes / (1024**4) |
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}; |
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} |
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for (const precision in precisionTypes) { |
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const memoryValues = results[precision]; |
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let summary; |
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if (memoryValues.TB >= 1) { |
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summary = `${memoryValues.TB.toFixed(2)} TB (${memoryValues.GB.toFixed(2)} GB)`; |
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} else if (memoryValues.GB >= 1) { |
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summary = `${memoryValues.GB.toFixed(2)} GB (${memoryValues.MB.toFixed(2)} MB)`; |
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} else if (memoryValues.MB >= 1) { |
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summary = `${memoryValues.MB.toFixed(2)} MB (${memoryValues.KB.toFixed(2)} KB)`; |
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} else { |
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summary = `${memoryValues.KB.toFixed(2)} KB (${memoryValues.bytes.toFixed(2)} bytes)`; |
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} |
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results[precision].summary = summary; |
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} |
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results.modelSize = `${(numParameters/1e9).toFixed(2)}B parameters`; |
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return results; |
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} |
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function formatNumber(num) { |
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return num.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ","); |
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} |
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function calculateAndDisplay() { |
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const parametersInput = document.getElementById('parameters').value.trim(); |
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const modelSizeElement = document.getElementById('model-size'); |
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const resultsBody = document.getElementById('results-body'); |
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resultsBody.innerHTML = ''; |
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modelSizeElement.innerHTML = ''; |
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if (!parametersInput) { |
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alert('Please enter the number of parameters.'); |
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return; |
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} |
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const numParameters = parseFloat(parametersInput.replace(/,/g, '')); |
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if (isNaN(numParameters) || numParameters <= 0) { |
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alert('Please enter a valid positive number for parameters.'); |
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return; |
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} |
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const results = calculateModelMemory(numParameters); |
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const sizeInBillions = numParameters / 1e9; |
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const sizeInMillions = numParameters / 1e6; |
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modelSizeElement.textContent = `Showing requirements for a ${sizeInBillions.toFixed(2)}B (${sizeInMillions.toFixed(2)}M) parameter model`; |
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const precisionOrder = [ |
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'float32', 'float16', 'bfloat16', 'int8', 'int4', 'int2', 'int1' |
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]; |
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precisionOrder.forEach(precision => { |
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const data = results[precision]; |
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const row = document.createElement('tr'); |
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row.innerHTML = ` |
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<td>${precision}</td> |
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<td>${data.bytesPerParam} bytes</td> |
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<td>${data.summary}</td> |
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<td>${data.MB.toFixed(2)}</td> |
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<td>${data.GB.toFixed(2)}</td> |
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<td>${data.TB.toFixed(2)}</td> |
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`; |
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resultsBody.appendChild(row); |
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}); |
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} |
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document.getElementById('calculate-btn').addEventListener('click', calculateAndDisplay); |
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document.getElementById('clear-btn').addEventListener('click', () => { |
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document.getElementById('parameters').value = ''; |
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document.getElementById('results-body').innerHTML = ''; |
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document.getElementById('model-size').innerHTML = ''; |
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}); |
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document.querySelectorAll('.preset-button').forEach(button => { |
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button.addEventListener('click', () => { |
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document.getElementById('parameters').value = button.dataset.value; |
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calculateAndDisplay(); |
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}); |
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}); |
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document.getElementById('parameters').addEventListener('keypress', (e) => { |
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if (e.key === 'Enter') { |
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calculateAndDisplay(); |
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} |
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}); |
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document.getElementById('parameters').addEventListener('input', (e) => { |
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const input = e.target; |
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input.value = input.value.replace(/[^0-9.,eE+-]/g, ''); |
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}); |
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</script> |
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</body> |
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</html> |