merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: AIDC-AI/Marco-o1
- model: allknowingroger/HomerSlerp1-7B
merge_method: slerp
base_model: AIDC-AI/Marco-o1
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.49 |
| IFEval (0-Shot) | 46.81 |
| BBH (3-Shot) | 36.23 |
| MATH Lvl 5 (4-Shot) | 31.57 |
| GPQA (0-shot) | 8.95 |
| MuSR (0-shot) | 14.65 |
| MMLU-PRO (5-shot) | 38.70 |
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Model tree for allknowingroger/Marco-01-slerp1-7B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard46.810
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.230
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard31.570
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.950
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.650
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.700