6bpw exl2 quant of: https://huggingface.co/nbeerbower/Lyra4-Gutenberg-12B
Lyra4-Gutenberg-12B
Sao10K/MN-12B-Lyra-v4 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
ORPO Finetuned using an RTX 3090 + 4060 Ti for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.63 |
| IFEval (0-Shot) | 22.12 |
| BBH (3-Shot) | 34.24 |
| MATH Lvl 5 (4-Shot) | 11.71 |
| GPQA (0-shot) | 9.17 |
| MuSR (0-shot) | 11.97 |
| MMLU-PRO (5-shot) | 28.57 |
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Model tree for Jellon/Lyra4-Gutenberg-12B-6bpw
Base model
Sao10K/MN-12B-Lyra-v4Dataset used to train Jellon/Lyra4-Gutenberg-12B-6bpw
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard22.120
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.240
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.710
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.170
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.570