merge
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:
models:
- model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
- model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75
merge_method: slerp
base_model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
dtype: bfloat16
parameters:
t: 0.5
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.10 |
| IFEval (0-Shot) | 76.00 |
| BBH (3-Shot) | 43.63 |
| MATH Lvl 5 (4-Shot) | 1.13 |
| GPQA (0-shot) | 13.09 |
| MuSR (0-shot) | 9.84 |
| MMLU-PRO (5-shot) | 36.92 |
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard76.000
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard43.630
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.130
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.090
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.840
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.920