Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 14
IceDrinkNameNotFoundRP-7b-Model_Stock
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 icefog72\IceTea21EnergyDrinkRPV13-DPOv3 as a base.
Models Merged
The following models were included in the merge:
- icefog72\IceDrinkNameGoesHereRP-7b-Model_Stock
- icefog72\IceSakeV12-DPOv2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: icefog72\IceTea21EnergyDrinkRPV13-DPOv3
- model: icefog72\IceDrinkNameGoesHereRP-7b-Model_Stock
- model: icefog72\IceSakeV12-DPOv2
merge_method: model_stock
base_model: icefog72\IceTea21EnergyDrinkRPV13-DPOv3
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.32 |
| IFEval (0-Shot) | 51.30 |
| BBH (3-Shot) | 30.67 |
| MATH Lvl 5 (4-Shot) | 5.66 |
| GPQA (0-shot) | 3.69 |
| MuSR (0-shot) | 13.65 |
| MMLU-PRO (5-shot) | 22.94 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard51.300
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.670
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.660
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.690
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.650
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.940