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merge
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 ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2 as a base.
Models Merged
The following models were included in the merge:
- grimjim/magnum-consolidatum-v1-12b
- spow12/ChatWaifu_v1.4
- GalrionSoftworks/Canidori-12B-v1
- Nohobby/MN-12B-Siskin-v0.2
- RozGrov/NemoDori-v0.2.2-12B-MN-ties
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Nohobby/MN-12B-Siskin-v0.2
- model: spow12/ChatWaifu_v1.4
- model: grimjim/magnum-consolidatum-v1-12b
- model: RozGrov/NemoDori-v0.2.2-12B-MN-ties
- model: GalrionSoftworks/Canidori-12B-v1
merge_method: model_stock
base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 25.37 |
| IFEval (0-Shot) | 61.71 |
| BBH (3-Shot) | 29.53 |
| MATH Lvl 5 (4-Shot) | 11.18 |
| GPQA (0-shot) | 7.38 |
| MuSR (0-shot) | 13.35 |
| MMLU-PRO (5-shot) | 29.06 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard61.710
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.530
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.380
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.350
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.060