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 |
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for lemon07r/Gemma-2-Ataraxy-v4b-9B
Merge model
this model
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