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: ehristoforu/Gemma2-9B-it-psy10k-mental_health
merge_method: slerp
base_model: recoilme/recoilme-gemma-2-9B-v0.4
dtype: bfloat16
parameters:
t: 0.5
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.18 |
| IFEval (0-Shot) | 74.45 |
| BBH (3-Shot) | 42.13 |
| MATH Lvl 5 (4-Shot) | 16.47 |
| GPQA (0-shot) | 12.53 |
| MuSR (0-shot) | 12.18 |
| MMLU-PRO (5-shot) | 35.34 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard74.450
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard42.130
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.470
- acc_norm on GPQA (0-shot)Open LLM Leaderboard12.530
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.180
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard35.340