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 bunnycore/Phi-4-Model-Stock 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: pankajmathur/orca_mini_phi-4
- model: bunnycore/Phi-4-Model-Stock-v3
- model: bunnycore/Phi-4-Model-Stock
- model: bunnycore/Phi-4-Model-Stock-v2
merge_method: model_stock
base_model: bunnycore/Phi-4-Model-Stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: bunnycore/Phi-4-Model-Stock
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 41.03 |
| IFEval (0-Shot) | 71.10 |
| BBH (3-Shot) | 55.90 |
| MATH Lvl 5 (4-Shot) | 37.16 |
| GPQA (0-shot) | 15.88 |
| MuSR (0-shot) | 17.30 |
| MMLU-PRO (5-shot) | 48.82 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.100
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard55.900
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard37.160
- acc_norm on GPQA (0-shot)Open LLM Leaderboard15.880
- acc_norm on MuSR (0-shot)Open LLM Leaderboard17.300
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard48.820