Gemma-2-Ataraxy-v4b-9B
This is a merge of pre-trained language models created using mergekit.
Leaderboard Results
Bugged?
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 |