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README.md
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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>Narwhal-7b Model Overview</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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color: #333;
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line-height: 1.6;
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margin: 30px;
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}
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h1 {
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color: #2c3e50;
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}
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img {
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display: block;
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margin: 20px auto;
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}
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p {
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margin: 15px 0;
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}
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</style>
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</head>
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<body>
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<img src="https://i.imgur.com/FYuPeho.jpg" width="300" alt="Description of the image">
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<h1>Narwhal-7b</h1>
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<p>Model Created by Vezora</p>
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<p>The Narwhal-7b is an innovative model comprising a blend of 60% Stable Beluga and 40% MegaCoder. This combination was further enhanced by integrating 40% Wizard-Math and 40% Llama Chat7b.</p>
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<p>This synthesis has led to a model that demonstrates remarkable performance in mathematical tasks. It also maintains a robust ability to respond to various queries. During the testing phase, we employed both Stable Beluga and Llama Chat prompts, with the Llama v2 prompting yielding superior results. This improvement was likely a result of it being the final merge in the development process.</p>
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<p>It's worth noting that the Narwhal-7b may stand as one of the best-performing models in its category. However, those interested in utilizing it must be aware of the commercial licenses associated with the underlying models. Due to some datasets used in training originating from OpenAI, this model is explicitly not intended for commercial use.</p>
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<p><strong>Benchmarks:</strong> Comprehensive benchmarking details will be available soon.</p>
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</body>
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</html>
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