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Collection
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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 Model Stock merge method using AALF/gemma-2-27b-it-SimPO-37K-100steps as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: djuna/G2-BigGSHT-27B-calc
- model: unsloth/gemma-2-27b-it
merge_method: model_stock
base_model: AALF/gemma-2-27b-it-SimPO-37K-100steps
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.13 |
| IFEval (0-Shot) | 79.74 |
| BBH (3-Shot) | 48.81 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 15.10 |
| MuSR (0-shot) | 9.93 |
| MMLU-PRO (5-shot) | 39.20 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard79.740
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard48.810
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard15.100
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.930
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard39.200