bamec66557/MISCHIEVOUS-12B-Mix_0.4v
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[GGUF]
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:
- bamec66557/mergekit-slerp-xjlmywj
- bamec66557/MISCHIEVOUS-12B-Mix_0.3v
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: bamec66557/mergekit-slerp-xjlmywj
layer_range: [0, 20]
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
layer_range: [0, 20]
parameters:
t:
- value: 0.8
- sources:
- model: bamec66557/mergekit-slerp-xjlmywj
layer_range: [20, 40]
- model: bamec66557/MISCHIEVOUS-12B-Mix_0.3v
layer_range: [20, 40]
parameters:
t:
- value: 1.0
- filter: self_attn
value: [0.8, 0.9, 1.0, 1.1, 1.2]
merge_method: slerp # Preserve merge method
base_model: bamec66557/mergekit-slerp-xjlmywj # Base model
dtype: bfloat16 # Data types for fast merges
# Additional options
regularization:
- method: weight_clipping
clip_range: [-0.1, 0.1]
postprocessing:
- operation: gaussian_smoothing
sigma: 1.5 # Gaussian smoothing intensity
- operation: smoothing
parameters:
adaptive: true
range: [0.8, 1.2] # Adaptively adjust
kernel_size: 5 # Smoothing larger ranges with increased kernel size
- operation: normalize # Normalise after merge
Open LLM Leaderboard Evaluation Results
Detailed results can be found here