LeroyDyer/LCARS_TOP_SCORE

Used as the Boss of Other Agents!

SOmeHow the best at testing !!! ohters may contain more paradigms and even data ... but somehow this one is top at leaderboard testing !

VERY GOOD MODEL !!!!! (HIGH SCORES) - 78.9 Average

@misc{open-llm-leaderboard-v2, author = {Clémentine Fourrier and Nathan Habib and Alina Lozovskaya and Konrad Szafer and Thomas Wolf}, title = {Open LLM Leaderboard v2}, year = {2024}, publisher = {Hugging Face}, howpublished = "\url{https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard}", }

@software{eval-harness, author = {Gao, Leo and Tow, Jonathan and Biderman, Stella and Black, Sid and DiPofi, Anthony and Foster, Charles and Golding, Laurence and Hsu, Jeffrey and McDonell, Kyle and Muennighoff, Niklas and Phang, Jason and Reynolds, Laria and Tang, Eric and Thite, Anish and Wang, Ben and Wang, Kevin and Zou, Andy}, title = {A framework for few-shot language model evaluation}, month = sep, year = 2021, publisher = {Zenodo}, version = {v0.0.1}, doi = {10.5281/zenodo.5371628}, url = {https://doi.org/10.5281/zenodo.5371628}, }

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.32
IFEval (0-Shot)	43.71
BBH (3-Shot)	31.70
MATH Lvl 5 (4-Shot)	6.72
GPQA (0-shot)	4.81
MuSR (0-shot)	12.43
MMLU-PRO (5-shot)	22.57