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  1. src/assets/text_content.py +1 -1
src/assets/text_content.py CHANGED
@@ -4,7 +4,7 @@ INTRODUCTION_TEXT = f"""
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  The πŸ€— Open LLM-Perf Leaderboard πŸ‹οΈ 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 [πŸ€— Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the πŸ€— Open LLM-Perf Leaderboard πŸ‹οΈ automatically once they're publicly available.
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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 πŸ€— Open LLM-Perf Leaderboard πŸ‹οΈ 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 [πŸ€— Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the πŸ€— Open LLM-Perf Leaderboard πŸ‹οΈ 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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