Nemo
Collection
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 |
- Downloads last month
- 89
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
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 3
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