Gemma-2-Ataraxy-v4a-Advanced-9B
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:
base_model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
dtype: bfloat16
merge_method: slerp
parameters:
t: 0.25
slices:
- sources:
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
- layer_range: [0, 42]
model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.13 |
| IFEval (0-Shot) | 71.35 |
| BBH (3-Shot) | 42.74 |
| MATH Lvl 5 (4-Shot) | 2.19 |
| GPQA (0-shot) | 12.53 |
| MuSR (0-shot) | 15.18 |
| MMLU-PRO (5-shot) | 36.77 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.350
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard42.740
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard12.530
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.180
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.770