Phi
Collection
Microsoft-based models
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93 items
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Updated
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1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the Passthrough merge method using prithivMLmods/Phi-4-o1 + bunnycore/Phi-4-14B-1M-RRP-v1-lora as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: prithivMLmods/Phi-4-o1+bunnycore/Phi-4-14B-1M-RRP-v1-lora
dtype: bfloat16
merge_method: passthrough
models:
- model: prithivMLmods/Phi-4-o1+bunnycore/Phi-4-14B-1M-RRP-v1-lora
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.52 |
| IFEval (0-Shot) | 2.20 |
| BBH (3-Shot) | 51.59 |
| MATH Lvl 5 (4-Shot) | 36.03 |
| GPQA (0-shot) | 16.44 |
| MuSR (0-shot) | 19.18 |
| MMLU-PRO (5-shot) | 45.67 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard2.200
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard51.590
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard36.030
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.440
- acc_norm on MuSR (0-shot)Open LLM Leaderboard19.180
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard45.670