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Update app.py

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  1. app.py +11 -7
app.py CHANGED
@@ -350,10 +350,6 @@ with gr.Blocks(css=css_tech_theme) as demo:
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  <header>
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  <h1>πŸ† Mobile-MMLU Challenge</h1>
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  <h2>πŸš€ 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
@@ -375,9 +371,17 @@ with gr.Blocks(css=css_tech_theme) as demo:
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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 **Mobile-MMLU Benchmark Competition** is an exciting challenge for mobile-optimized
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- LLMs. Compete to achieve the highest accuracy and contribute to advancements in mobile AI.
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- </p>
 
 
 
 
 
 
 
 
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  <h3>How It Works</h3>
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  <ul>
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  <li>1️⃣ <strong>Download the Dataset:</strong> Access the dataset and instructions on our
 
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  <header>
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  <h1>πŸ† Mobile-MMLU Challenge</h1>
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  <h2>πŸš€ 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>🌟 Showcase your expertise in LLM development and optimization for mobile platforms.</li>
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+ <li>πŸš€ Benchmark your model’s performance against others in a highly competitive environment.</li>
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+ <li>πŸ“ˆ 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>1️⃣ <strong>Download the Dataset:</strong> Access the dataset and instructions on our