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README.md
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tags:
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- merge
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- mergekit
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- lazymergekit
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- ShinojiResearch/Senku-70B-Full
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- 152334H/miqu-1-70b-sf
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---
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# ECE-JRGL-v1
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ECE-JRGL-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
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* [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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##
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tags:
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- merge
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- mergekit
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- ShinojiResearch/Senku-70B-Full
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- 152334H/miqu-1-70b-sf
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---
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# ECE-TW3-JRGL-v1
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## This model has been produced by :
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- [Louis Garcia](https://www.linkedin.com/in/louis-garcia-profil/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/)
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- [Matthieu Jollard](https://www.linkedin.com/in/matthieu-jollard/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/)
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## Under the supervision of :
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- [Andre-Louis Rochet](https://www.linkedin.com/in/andrelouisrochet/), Lecturer at ECE & Co-Founder of [TW3 Partners](https://tw3partners.fr/)
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- [Paul Lemaistre](https://www.linkedin.com/in/paul-lemaistre/), CTO of [TW3 Partners](https://tw3partners.fr/)
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## With the contribution of :
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- ECE engineering school as sponsor
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- RunPod as financial contributor
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## Description
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ECE-TW3-JRGL-V1 is a merge of the following models using **[mergekit](https://github.com/cg123/mergekit)**:
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* [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
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* [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
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## Results
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- ECE-TW3-JRGL-v1 scores 83.07 on [EQ-Bench V2](https://eqbench.com/index.html)
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---
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@misc{paech2023eqbench,
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title={EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models},
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author={Samuel J. Paech},
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year={2023},
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eprint={2312.06281},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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---
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