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disclaimer

just experimented with the model I had https://huggingface.co./eren23/ogno-monarch-jaskier-merge-7b here with the new preferences dataset of argillia here: https://huggingface.co./datasets/argilla/OpenHermesPreferences

I didn't test the model and the perf wasn't that good when training so use/test it with caution

disclaimer 2

It turns out the model performs well in benchmarks :D

GGUF: https://huggingface.co./eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-GGUF

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 76.45
AI2 Reasoning Challenge (25-Shot) 73.12
HellaSwag (10-Shot) 89.09
MMLU (5-Shot) 64.80
TruthfulQA (0-shot) 77.45
Winogrande (5-shot) 84.77
GSM8k (5-shot) 69.45
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Model tree for eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO

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Dataset used to train eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO

Spaces using eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO 6

Evaluation results