TITLE = """

🤗 Open LLM-Perf Leaderboard 🏋️

""" INTRODUCTION_TEXT = f""" The 🤗 Open LLM-Perf Leaderboard 🏋️ 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. Anyone from the community can request a model or a hardware+backend+optimization configuration for automated benchmarking: - Model requests should be made in the [🤗 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the 🤗 Open LLM-Perf Leaderboard 🏋️ automatically once they're publicly available. That's mostly because we don't want to benchmark models that don't have an evaluation score yet. - Hardware+Backend+Optimization requests should be made in the 🤗 Open LLM-Perf Leaderboard 🏋️ [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions) for open discussion about their relevance and feasibility. """ SINGLE_A100_TEXT = """

Single-GPU Benchmark (1xA100):

""" CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results." CITATION_BUTTON_TEXT = r"""@misc{open-llm-perf-leaderboard, author = {Ilyas Moutawwakil}, title = {Open LLM-Perf Leaderboard}, year = {2023}, publisher = {Hugging Face}, howpublished = "\url{https://huggingface.co/spaces/optimum/llm-perf-leaderboard}", @software{optimum-benchmark, author = {Ilyas Moutawwakil}, publisher = {Hugging Face}, title = {Optimum-Benchmark: A framework for benchmarking the performance of Transformers models with different hardwares, backends and optimizations.}, } """