Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
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13
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 unsloth/phi-4 as a base.
Models Merged
The following models were included in the merge:
- bunnycore/Phi-4-Avg
- prithivMLmods/Phi-4-Empathetic
- prithivMLmods/Phi-4-Math-IO
- prithivMLmods/Phi-4-QwQ
Configuration
The following YAML configuration was used to produce this model:
models:
- model: prithivMLmods/Phi-4-QwQ
- model: bunnycore/Phi-4-Avg
- model: prithivMLmods/Phi-4-Empathetic
- model: prithivMLmods/Phi-4-Math-IO
base_model: unsloth/phi-4
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: unsloth/phi-4
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 40.06 |
| IFEval (0-Shot) | 68.79 |
| BBH (3-Shot) | 55.32 |
| MATH Lvl 5 (4-Shot) | 38.60 |
| GPQA (0-shot) | 13.98 |
| MuSR (0-shot) | 15.12 |
| MMLU-PRO (5-shot) | 48.54 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard68.790
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard55.320
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard38.600
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.980
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.120
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard48.540