merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear 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: bunnycore/Phi-4-RP
parameters:
weight: 1.0
- model: Undi95/Phi4-abliterated
parameters:
weight: 1.0
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 37.32 |
| IFEval (0-Shot) | 68.27 |
| BBH (3-Shot) | 54.84 |
| MATH Lvl 5 (4-Shot) | 27.79 |
| GPQA (0-shot) | 13.65 |
| MuSR (0-shot) | 10.86 |
| MMLU-PRO (5-shot) | 48.49 |
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Model tree for bunnycore/Phi-4-RP-v0
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard68.270
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard54.840
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard27.790
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.650
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.860
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard48.490