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corrected introduction text
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src/assets/text_content.py
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@@ -2,11 +2,11 @@ TITLE = """<h1 align="center" id="space-title">π€ Open LLM-Perf Leaderboard
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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) on different hardwares and backends 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
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- Model
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- Hardware+Backend
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[Config files](https://github.com/huggingface/optimum-benchmark/blob/main/examples/bert.yaml) (which can be used with Optimum-Benchmark) will be available soon for reproduction and
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results."
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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) on different hardwares and backends 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 configuration for automated benchmarking:
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- Model 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 once they're publicly available.
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- Hardware+Backend requests should be made in the π€ Open LLM-Perf Leaderboard ποΈ [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions).
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[Config files](https://github.com/huggingface/optimum-benchmark/blob/main/examples/bert.yaml) (which can be used with Optimum-Benchmark) will be available soon for reproduction, questioning and correction of our results.
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results."
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