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:
slices:
- sources:
- model: altomek/YiSM-34B-0rn
layer_range:
- 0
- 60
- model: CombinHorizon/YiSM-blossom5.1-34B-SLERP
layer_range:
- 0
- 60
merge_method: slerp
base_model: altomek/YiSM-34B-0rn
parameters:
t:
- filter: self_attn
value:
- 0
- 0.5
- 0.3
- 0.7
- 1
- filter: mlp
value:
- 1
- 0.5
- 0.7
- 0.3
- 0
- value: 0.38
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.06 |
| IFEval (0-Shot) | 36.92 |
| BBH (3-Shot) | 45.98 |
| MATH Lvl 5 (4-Shot) | 19.56 |
| GPQA (0-shot) | 14.43 |
| MuSR (0-shot) | 15.78 |
| MMLU-PRO (5-shot) | 41.68 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.920
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard45.980
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard19.560
- acc_norm on GPQA (0-shot)Open LLM Leaderboard14.430
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.780
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard41.680