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This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using IlyaGusev/gemma-2-9b-it-abliterated as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: IlyaGusev/gemma-2-9b-it-abliterated
#no parameters necessary for base model
- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
parameters:
density: 0.6
weight: 0.25
- model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
density: 0.4
weight: 0.3
- model: crestf411/gemstone-9b
parameters:
density: 0.4
weight: 0.2
merge_method: dare_ties
base_model: IlyaGusev/gemma-2-9b-it-abliterated
parameters:
normalize: false
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 25.54 |
| IFEval (0-Shot) | 77.03 |
| BBH (3-Shot) | 32.92 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 11.41 |
| MuSR (0-shot) | 8.46 |
| MMLU-PRO (5-shot) | 23.44 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard77.030
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.920
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.410
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.460
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.440