Update app.py
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app.py
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@@ -37,6 +37,15 @@ HOW_WE_TESTED = """
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<li><strong>π€ Models & Libraries Tested:</strong> We put the best through their paces: Phi-3-medium-128k-instruct, Meta-Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3, Qwen2-7B-Instruct, and Gemma-2-9b-it, using TGI, vLLM, DeepSpeed Mii, CTranslate2, Triton with vLLM Backend, and TensorRT-LLM.</li>
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</ul>
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</div>
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"""
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# URL of the CSV file
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<li><strong>π€ Models & Libraries Tested:</strong> We put the best through their paces: Phi-3-medium-128k-instruct, Meta-Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3, Qwen2-7B-Instruct, and Gemma-2-9b-it, using TGI, vLLM, DeepSpeed Mii, CTranslate2, Triton with vLLM Backend, and TensorRT-LLM.</li>
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</ul>
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</div>
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<div style='background-color: #e6ffd9; padding: 20px; border-radius: 15px; margin-top: 20px; box-shadow: 0 4px 6px rgba(0,0,0,0.1);'>
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<h3 style='color: #00480a;'>π Additional Resources</h3>
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<p style='color: #00480a;'>For a deeper dive into LLM speed benchmarks and independent analysis, check out these complete blogs:</p>
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<ul style='color: #00480a;'>
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<li><a href="https://www.inferless.com/learn/exploring-llms-speed-benchmarks-independent-analysis---part-3" target="_blank" style="color: #006400;">Exploring LLMs Speed Benchmarks: Independent Analysis - Part 3</a></li>
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<li><a href="https://www.inferless.com/learn/exploring-llms-speed-benchmarks-independent-analysis---part-2" target="_blank" style="color: #006400;">Exploring LLMs Speed Benchmarks: Independent Analysis - Part 2</a></li>
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<li><a href="https://www.inferless.com/learn/exploring-llms-speed-benchmarks-independent-analysis" target="_blank" style="color: #006400;">Exploring LLMs Speed Benchmarks: Independent Analysis</a></li>
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</ul>
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</div>
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"""
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# URL of the CSV file
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