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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: Nekuromento/Hematoma-Gemma-Model-Stock-9B
- model: TheDrummer/Gemmasutra-9B-v1
merge_method: slerp
base_model: TheDrummer/Gemmasutra-9B-v1
parameters:
t:
- filter: self_attn
value: [0.3, 0.4, 0.3, 0.5, 0.6]
- filter: mlp
value: [0.6, 0.5, 0.6, 0.5, 0.5, 0.4, 0.5]
- value: [0.6, 0.6, 0.4, 0.6, 0.7, 0.4, 0.4]
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.95 |
| IFEval (0-Shot) | 56.30 |
| BBH (3-Shot) | 30.99 |
| MATH Lvl 5 (4-Shot) | 3.17 |
| GPQA (0-shot) | 10.07 |
| MuSR (0-shot) | 8.17 |
| MMLU-PRO (5-shot) | 23.00 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard56.300
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.990
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.170
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.070
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.170
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.000