| TITLE = """<h1 align="center" id="space-title">🤗 Open LLM-Perf Leaderboard 🏋️</h1>""" | |
| 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 evaluation 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. | |
| - 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. | |
| """ | |
| A100_TEXT = """<h3>Single-GPU Benchmark (1xA100):</h3> | |
| <ul> | |
| <li>LLMs are evaluated on a singleton batch and genrating a thousand tokens.</li> | |
| <li>Peak memory is measured in MB during the first forward pass of the LLM (no warmup).</li> | |
| <li>Each pair of (LLM Type, Weight Class) is represented by the best scored LLM. This LLM is the one used for all the hardware/backend/optimization experiments.</li> | |
| <li>Score is the average evaluation score obtained from the <a href="https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard">🤗 Open LLM Leaderboard</a>.</li> | |
| <li>Ranking is based on the euclidean distance from "perfect LLM" (i.e. 0 latency and 100% accuracy).</li> | |
| </ul> | |
| """ | |
| CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results." | |
| CITATION_BUTTON_TEXT = r"""@misc{open-llm-perf-leaderboard, | |
| author = {Ilyas Moutawwakil, Régis Pierrard}, | |
| 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, Régis Pierrard}, | |
| publisher = {Hugging Face}, | |
| title = {Optimum-Benchmark: A framework for benchmarking the performance of Transformers models with different hardwares, backends and optimizations.}, | |
| } | |
| """ | |