Gemma-2-Ataraxy-v4b-9B
This is a merge of pre-trained language models created using mergekit.
Leaderboard Results
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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-v3b-9B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 42]
model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-v3b-9B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 31.05 |
| IFEval (0-Shot) | 68.78 |
| BBH (3-Shot) | 43.44 |
| MATH Lvl 5 (4-Shot) | 8.84 |
| GPQA (0-shot) | 12.08 |
| MuSR (0-shot) | 15.87 |
| MMLU-PRO (5-shot) | 37.30 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard68.780
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard43.440
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard8.840
- acc_norm on GPQA (0-shot)Open LLM Leaderboard12.080
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.870
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.300