Ice0.17-03.10-RP
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 G:\FModels\IceSakeV8RP-7b as a base.
Models Merged
The following models were included in the merge:
- icefog72/Ice0.15-02.10-RP
- icefog72/IceTea21EnergyDrinkRPV13-DPOv3
- icefog72/Ice0.15-02.10-RP-02.10-DPO
Configuration
The following YAML configuration was used to produce this model:
models:
- model: icefog72/IceSakeV8RP-7b
- model: icefog72/Ice0.15-02.10-RP
- model: icefog72/Ice0.15-02.10-RP-02.10-DPO
- model: icefog72/IceTea21EnergyDrinkRPV13-DPOv3
merge_method: model_stock
base_model: icefog72/IceSakeV8RP-7b
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.30 |
| IFEval (0-Shot) | 51.24 |
| BBH (3-Shot) | 30.38 |
| MATH Lvl 5 (4-Shot) | 5.44 |
| GPQA (0-shot) | 4.25 |
| MuSR (0-shot) | 13.34 |
| MMLU-PRO (5-shot) | 23.17 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard51.240
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.380
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.440
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.250
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.340
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.170