Mistral Nemo 12B finetunes and merges • 6 items • Updated • 2
mistral-nemo-gutenberg-12B-v4
TheDrummer/Rocinante-12B-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. | 19.56 |
| IFEval (0-Shot) | 23.79 |
| BBH (3-Shot) | 31.97 |
| MATH Lvl 5 (4-Shot) | 10.95 |
| GPQA (0-shot) | 8.84 |
| MuSR (0-shot) | 13.20 |
| MMLU-PRO (5-shot) | 28.62 |
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Safetensors
Model size
12B params
Tensor type
BF16
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Model tree for nbeerbower/mistral-nemo-gutenberg-12B-v4
Base model
TheDrummer/Rocinante-12B-v1Dataset used to train nbeerbower/mistral-nemo-gutenberg-12B-v4
Spaces using nbeerbower/mistral-nemo-gutenberg-12B-v4 7
Collection including nbeerbower/mistral-nemo-gutenberg-12B-v4
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard23.790
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.970
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.950
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.840
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.200
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.620