Ice0.16-02.10-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:
- G:\FModels\Ice0.15-02.10-RP
- D:\MyMerge\Result\Ice0.15-02.10-RP-02.10-DPO
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: G:\FModels\Ice0.15-02.10-RP
layer_range: [0, 32]
- model: D:\MyMerge\Result\Ice0.15-02.10-RP-02.10-DPO
layer_range: [0, 32]
merge_method: slerp
base_model: D:\MyMerge\Result\Ice0.15-02.10-RP-02.10-DPO
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: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 20.95 |
IFEval (0-Shot) | 50.69 |
BBH (3-Shot) | 29.58 |
MATH Lvl 5 (4-Shot) | 5.14 |
GPQA (0-shot) | 3.91 |
MuSR (0-shot) | 13.41 |
MMLU-PRO (5-shot) | 22.97 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard50.690
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.580
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.140
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.910
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.410
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.970