merge
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: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [0, 15]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [0, 15]
parameters:
t:
- value: 0.8
- sources:
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [15, 30]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [15, 30]
parameters:
t:
- value: [0.8, 1.0, 0.8]
- sources:
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
layer_range: [30, 40]
- model: bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V
layer_range: [30, 40]
parameters:
t:
- value: 1.0
- filter: self_attn
value: [0.9, 1.0, 1.1]
merge_method: slerp
base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
dtype: bfloat16
regularization:
- method: weight_clipping
clip_range: [-0.1, 0.1]
postprocessing:
- operation: gaussian_smoothing
sigma: 1.2
- operation: normalize
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 23.22 |
| IFEval (0-Shot) | 40.31 |
| BBH (3-Shot) | 34.85 |
| MATH Lvl 5 (4-Shot) | 12.84 |
| GPQA (0-shot) | 9.40 |
| MuSR (0-shot) | 12.34 |
| MMLU-PRO (5-shot) | 29.60 |