Nemo
Collection
Mistral Nemo 12B finetunes and merges
•
6 items
•
Updated
•
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 |
- Downloads last month
- 34
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
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