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: newsbang/Homer-v0.4-Qwen2.5-7B
- model: allknowingroger/Qwenslerp2-7B
merge_method: slerp
base_model: newsbang/Homer-v0.4-Qwen2.5-7B
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. | 28.76 |
| IFEval (0-Shot) | 44.87 |
| BBH (3-Shot) | 37.96 |
| MATH Lvl 5 (4-Shot) | 28.55 |
| GPQA (0-shot) | 9.28 |
| MuSR (0-shot) | 12.85 |
| MMLU-PRO (5-shot) | 39.05 |
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Model tree for allknowingroger/HomerSlerp2-7B
Base model
allknowingroger/Qwenslerp2-7BEvaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard44.870
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard37.960
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard28.550
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.280
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.850
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard39.050