Stella-mistral-nemo-12B-v2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using nbeerbower/mistral-nemo-bophades-12B as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/mistral-nemo-gutenberg-12B-v3
- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- nbeerbower/mistral-nemo-gutenberg-12B-v4
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
merge_method: model_stock
base_model: nbeerbower/mistral-nemo-bophades-12B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.29 |
| IFEval (0-Shot) | 32.74 |
| BBH (3-Shot) | 35.36 |
| MATH Lvl 5 (4-Shot) | 10.42 |
| GPQA (0-shot) | 10.96 |
| MuSR (0-shot) | 14.43 |
| MMLU-PRO (5-shot) | 29.83 |
- Downloads last month
- 73
Inference API (serverless) is not available, repository is disabled.
Model tree for nbeerbower/Stella-mistral-nemo-12B-v2
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard32.740
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.360
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.420
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.960
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.430
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.830