Nemo
Collection
Mistral Nemo 12B finetunes and merges
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6 items
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Updated
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2
mistral-nemo-gutenberg-12B
mistralai/Mistral-Nemo-Instruct-2407 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
Finetuned using an A100 on Google Colab for 1 epoch.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.82 |
| IFEval (0-Shot) | 35.04 |
| BBH (3-Shot) | 32.43 |
| MATH Lvl 5 (4-Shot) | 10.42 |
| GPQA (0-shot) | 7.61 |
| MuSR (0-shot) | 10.97 |
| MMLU-PRO (5-shot) | 28.47 |
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Model tree for nbeerbower/mistral-nemo-gutenberg-12B
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407
Dataset used to train nbeerbower/mistral-nemo-gutenberg-12B
Collection including nbeerbower/mistral-nemo-gutenberg-12B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard35.040
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.430
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.420
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.470