Ice0.34n-14.11-RP
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- E:\FModels\Ice0.33-13.11-RP
- E:\FModels\Ice0.32-10.11-RP
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: E:\FModels\Ice0.32-10.11-RP
layer_range: [0, 32]
- model: E:\FModels\Ice0.33-13.11-RP
layer_range: [0, 32]
merge_method: slerp
base_model: E:\FModels\Ice0.32-10.11-RP
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.83 |
| IFEval (0-Shot) | 47.87 |
| BBH (3-Shot) | 31.21 |
| MATH Lvl 5 (4-Shot) | 6.95 |
| GPQA (0-shot) | 8.50 |
| MuSR (0-shot) | 12.84 |
| MMLU-PRO (5-shot) | 23.60 |
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Model tree for icefog72/Ice0.34n-14.11-RP
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard47.870
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.210
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.950
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.500
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.840
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.600