LOGO = '' TITLE = """

Edge-LLM Leaderboard

""" ABOUT = """ ## 📝 About The Edge-LLM Leaderboard is a leaderboard to gauge practical performance and quality of edge LLMs. Its aim is to benchmark the performance (throughput and memory) of Large Language Models (LLMs) on Edge hardware - starting with a Raspberry Pi 5 (8GB) based on the ARM Cortex A76 CPU. Anyone from the community can request a new base model or edge hardware/backend/optimization configuration for automated benchmarking: - Model evaluation requests will be made live soon, in the meantime feel free to email to - arnav[dot]chavan[@]nyunai[dot]com ## ✍️ Details - To avoid multi-thread discrepencies, all 4 threads are used on the Pi 5. - LLMs are running on a singleton batch with a prompt size of 512 and generating 128 tokens. All of our throughput benchmarks are ran by this single tool [llama-bench](https://github.com/ggerganov/llama.cpp/tree/master/examples/llama-bench) using the power of [llama.cpp](https://github.com/ggerganov/llama.cpp) to guarantee reproducibility and consistency. """ CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results." CITATION_BUTTON = r"""@misc{edge-llm-leaderboard, author = {}, title = {Edge-LLM Leaderboard}, year = {2024}, publisher = {}, howpublished = "\url{https://huggingface.co/spaces/nyunai/edge-llm-leaderboard}", } """