Gutensuppe-mistral-nemo-12B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using nbeerbower/mistral-nemo-gutenberg-12B as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/mistral-nemo-gutenberg-12B-v3
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
- model: nbeerbower/mistral-nemo-gutenberg-12B
merge_method: model_stock
base_model: nbeerbower/mistral-nemo-gutenberg-12B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.92 |
| IFEval (0-Shot) | 29.16 |
| BBH (3-Shot) | 35.57 |
| MATH Lvl 5 (4-Shot) | 11.03 |
| GPQA (0-shot) | 11.63 |
| MuSR (0-shot) | 14.33 |
| MMLU-PRO (5-shot) | 29.78 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard29.160
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.570
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.030
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.630
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.330
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.780