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
EDIT: This Merge inherits bad IFEval Results from the Base Model, keep this in mind when using this model.
merged
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 mistralai/Mistral-Nemo-Base-2407 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: mistralai/Mistral-Nemo-Base-2407
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 40]
model: mistralai/Mistral-Nemo-Base-2407
- layer_range: [0, 40]
model: Undi95/LocalC-12B-e2.0
- layer_range: [0, 40]
model: shuttleai/shuttle-2.5-mini
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 16.32 |
| IFEval (0-Shot) | 19.72 |
| BBH (3-Shot) | 30.18 |
| MATH Lvl 5 (4-Shot) | 4.68 |
| GPQA (0-shot) | 7.05 |
| MuSR (0-shot) | 8.87 |
| MMLU-PRO (5-shot) | 27.43 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard19.720
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.180
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.680
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.050
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.870
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.430