Gemma-2-Ataraxy-Advanced-9B
Another test model that you should probably ignore.
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: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
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: lemon07r/Gemma-2-Ataraxy-9B
- layer_range: [0, 42]
model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 25.07 |
| IFEval (0-Shot) | 55.16 |
| BBH (3-Shot) | 41.16 |
| MATH Lvl 5 (4-Shot) | 0.15 |
| GPQA (0-shot) | 11.41 |
| MuSR (0-shot) | 6.51 |
| MMLU-PRO (5-shot) | 36.04 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard55.160
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard41.160
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.150
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.410
- acc_norm on MuSR (0-shot)Open LLM Leaderboard6.510
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.040