Update app.py
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app.py
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@@ -350,10 +350,6 @@ with gr.Blocks(css=css_tech_theme) as demo:
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<header>
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<h1>π Mobile-MMLU Challenge</h1>
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<h2>π Pushing the Limits of Mobile LLMs</h2>
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<p>
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Test and optimize mobile-compatible Large Language Models (LLMs) with cutting-edge benchmarks
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across 80 fields and over 16,000 questions.
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</p>
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</header>
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""")
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# # Pre-Tabs Section
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<div class="tabs">
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<h2>About the Competition</h2>
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<p>
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<h3>How It Works</h3>
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<ul>
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<li>1οΈβ£ <strong>Download the Dataset:</strong> Access the dataset and instructions on our
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<header>
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<h1>π Mobile-MMLU Challenge</h1>
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<h2>π Pushing the Limits of Mobile LLMs</h2>
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</header>
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""")
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# # Pre-Tabs Section
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<div class="tabs">
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<h2>About the Competition</h2>
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<p>
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The <strong>Mobile-MMLU Benchmark Competition</strong> is a premier challenge designed to evaluate and advance mobile-optimized Large Language Models (LLMs). It provides an unparalleled opportunity to showcase your model's ability to handle diverse, real-world scenarios while pushing the boundaries of mobile intelligence.</p>
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<p>
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With a dataset spanning <strong>80 distinct fields</strong> and featuring <strong>16,186 questions</strong>, this competition emphasizes practical application. From education and healthcare to technology and daily life, the questions are crafted to mimic real-world challenges and test the adaptability, accuracy, and efficiency of mobile-compatible LLMs.</p>
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<h3>Why Compete?</h3>
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<p>Participating in this competition allows you to:
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<ul>
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<li>π Showcase your expertise in LLM development and optimization for mobile platforms.</li>
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<li>π Benchmark your modelβs performance against others in a highly competitive environment.</li>
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<li>π Contribute to advancements in AI for mobile technology, shaping the future of user-centric AI systems.</li>
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</ul>
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</p>
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<h3>How It Works</h3>
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<ul>
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<li>1οΈβ£ <strong>Download the Dataset:</strong> Access the dataset and instructions on our
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