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 bunnycore/LLama-3.1-4B-TitanFusion as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: Nexesenex/Nemotron_W_4b_MagLight_0.1
parameters:
weight: 1.0
- model: FourOhFour/Maelstrom_4B
parameters:
weight: 1.0
base_model: bunnycore/LLama-3.1-4B-TitanFusion
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 15.09 |
| IFEval (0-Shot) | 36.27 |
| BBH (3-Shot) | 18.55 |
| MATH Lvl 5 (4-Shot) | 4.23 |
| GPQA (0-shot) | 4.03 |
| MuSR (0-shot) | 10.76 |
| MMLU-PRO (5-shot) | 16.72 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.270
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard18.550
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.230
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.030
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.760
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard16.720