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: recoilme/recoilme-gemma-2-9B-v0.4
- model: lemon07r/Gemma-2-Ataraxy-v2-9B
merge_method: slerp
base_model: recoilme/recoilme-gemma-2-9B-v0.4
dtype: bfloat16
parameters:
t: 0.5 # 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. | 30.33 |
| IFEval (0-Shot) | 76.49 |
| BBH (3-Shot) | 43.71 |
| MATH Lvl 5 (4-Shot) | 1.28 |
| GPQA (0-shot) | 13.31 |
| MuSR (0-shot) | 10.30 |
| MMLU-PRO (5-shot) | 36.90 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard76.490
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard43.710
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.280
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.310
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.300
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.900