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src/assets/text_content.py
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@@ -4,7 +4,7 @@ INTRODUCTION_TEXT = f"""
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The π€ Open LLM-Perf Leaderboard ποΈ aims to benchmark the performance (latency & throughput) of Large Language Models (LLMs) with different hardwares, backends and optimizations using [Optimum-Benchmark](https://github.com/huggingface/optimum-benchmark) and [Optimum](https://github.com/huggingface/optimum) flavors.
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Anyone from the community can request a model or a hardware/backend/optimization configuration for automated benchmarking:
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- Model evaluation requests should be made in the [π€ Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the π€ Open LLM-Perf Leaderboard ποΈ automatically
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- Hardware/Backend/Optimization performance requests should be made in the [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions) to assess their relevance and feasibility.
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"""
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The π€ Open LLM-Perf Leaderboard ποΈ aims to benchmark the performance (latency & throughput) of Large Language Models (LLMs) with different hardwares, backends and optimizations using [Optimum-Benchmark](https://github.com/huggingface/optimum-benchmark) and [Optimum](https://github.com/huggingface/optimum) flavors.
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Anyone from the community can request a model or a hardware/backend/optimization configuration for automated benchmarking:
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- Model evaluation requests should be made in the [π€ Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the π€ Open LLM-Perf Leaderboard ποΈ automatically.
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- Hardware/Backend/Optimization performance requests should be made in the [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions) to assess their relevance and feasibility.
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"""
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