4bpw 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 |
- Downloads last month
- 23
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Jellon/Lyra4-Gutenberg-12B-4bpw
Base model
Sao10K/MN-12B-Lyra-v4Dataset used to train Jellon/Lyra4-Gutenberg-12B-4bpw
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