Nemo
Collection
Mistral Nemo 12B finetunes and merges
•
6 items
•
Updated
•
2
Lyra-Gutenberg-12B
Sao10K/MN-12B-Lyra-v1 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
Finetuned using an A100 on Google Colab for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.57 |
| IFEval (0-Shot) | 34.95 |
| BBH (3-Shot) | 36.99 |
| MATH Lvl 5 (4-Shot) | 8.31 |
| GPQA (0-shot) | 11.19 |
| MuSR (0-shot) | 14.76 |
| MMLU-PRO (5-shot) | 29.20 |
- Downloads last month
- 26
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
Dataset used to train nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
Spaces using nbeerbower/Lyra-Gutenberg-mistral-nemo-12B 4
Collection including nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard34.950
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.990
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard8.310
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.190
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.760
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.200