LCARS_TOP_SCORE / README.md
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---
base_model:
- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- yam-peleg/Experiment26-7B
- liminerity/M7-7b
- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
library_name: transformers
tags:
- chemistry
- biology
- music
- code
- climate
- text-generation-inference
- finance
- legal
- medical
license: openrail
language:
- en
---
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},
}