Mistral Nemo 12B finetunes and merges • 6 items • Updated • 2
mistral-nemo-gutenberg-12B-v2
axolotl-ai-co/romulus-mistral-nemo-12b-simpo 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. | 24.05 |
| IFEval (0-Shot) | 62.03 |
| BBH (3-Shot) | 34.73 |
| MATH Lvl 5 (4-Shot) | 2.11 |
| GPQA (0-shot) | 3.69 |
| MuSR (0-shot) | 13.99 |
| MMLU-PRO (5-shot) | 27.77 |
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Safetensors
Model size
12B params
Tensor type
BF16
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Model tree for nbeerbower/mistral-nemo-gutenberg-12B-v2
Base model
winglian/m12b-20240721-test010Dataset used to train nbeerbower/mistral-nemo-gutenberg-12B-v2
Spaces using nbeerbower/mistral-nemo-gutenberg-12B-v2 8
Collection including nbeerbower/mistral-nemo-gutenberg-12B-v2
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard62.030
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.730
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.110
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.690
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.990
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.770