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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-v1.1 as a base.
Models Merged
The following models were included in the merge:
- RozGrov/NemoDori-v0.2.2-12B-MN-ties
- spow12/ChatWaifu_v1.4
- Nohobby/MN-12B-Siskin-v0.2
- GalrionSoftworks/Canidori-12B-v1
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: 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-v1.1
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.26 |
| IFEval (0-Shot) | 61.10 |
| BBH (3-Shot) | 28.48 |
| MATH Lvl 5 (4-Shot) | 10.50 |
| GPQA (0-shot) | 6.15 |
| MuSR (0-shot) | 10.38 |
| MMLU-PRO (5-shot) | 28.92 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard61.100
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard28.480
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.500
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.150
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.380
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.920