Merge Models
Collection
Models I merged using mergekit library
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8 items
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Updated
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4
Merged Model
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:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: gz987/qwen2.5-7b-cabs-v0.3
layer_range: [0, 28]
- model: gz987/qwen2.5-7b-cabs-v0.4
layer_range: [0, 28]
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.3
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
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.71 |
| IFEval (0-Shot) | 74.54 |
| BBH (3-Shot) | 36.03 |
| MATH Lvl 5 (4-Shot) | 49.24 |
| GPQA (0-shot) | 7.61 |
| MuSR (0-shot) | 15.17 |
| MMLU-PRO (5-shot) | 37.64 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard74.540
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.030
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard49.240
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.170
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.640