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}",
}
"""