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Update app.py
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app.py
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@@ -6,10 +6,10 @@ GPU_LIST = ["NVIDIA A100 80GB PCIe", "NVIDIA A100-SXM4-80GB", "NVIDIA A30", "NVI
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TITLE = """
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<div align="center">
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<p style="font-size: 36px;">π§ LLM AutoEval</p>
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</div><br/>
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<p><strong>Automatically evaluate your LLMs</strong> using <a href="https://www.runpod.io/console/pods">RunPod</a>. If you don't have an account, please consider using my <a href="https://runpod.io?ref=9nvk2srl">referral link</a>.</p>
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<p><em>Once a pod has started, you can safely close this tab. The results are then privately uploaded to <a href="https://gist.github.com/">GitHub Gist</a>, and the pod is automatically destroyed.</em></p>
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<p>For further details, see the project on π» <a href="https://github.com/mlabonne/llm-autoeval">GitHub</a>.</p>
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"""
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def autoeval(BENCHMARK, MODEL, GPU, NUMBER_OF_GPUS, CONTAINER_DISK, CLOUD_TYPE, REPO, TRUST_REMOTE_CODE, DEBUG, GITHUB_API_TOKEN, RUNPOD_TOKEN):
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TITLE = """
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<div align="center">
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<p style="font-size: 36px;">π§ LLM AutoEval</p>
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<p style="font-size: 20px;">π» <a href="https://github.com/mlabonne/llm-autoeval">GitHub</a>ββ’βπ <a href="https://gist.github.com/chessllm/696115fe2df47fb2350fcff2663678c9">Colab notebook</a></p>
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</div><br/>
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<p><strong>Automatically evaluate your LLMs</strong> using <a href="https://www.runpod.io/console/pods">RunPod</a>. If you don't have an account, please consider using my <a href="https://runpod.io?ref=9nvk2srl">referral link</a>.</p>
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<p><em>Once a pod has started, you can safely close this tab. The results are then privately uploaded to <a href="https://gist.github.com/">GitHub Gist</a>, and the pod is automatically destroyed.</em></p>
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"""
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def autoeval(BENCHMARK, MODEL, GPU, NUMBER_OF_GPUS, CONTAINER_DISK, CLOUD_TYPE, REPO, TRUST_REMOTE_CODE, DEBUG, GITHUB_API_TOKEN, RUNPOD_TOKEN):
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