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: Undi95/PsyMedRP-v1-20B
layer_range: [0, 62] # PsyMedRP has 62 layers
- model: NeverSleep/Nethena-20B
layer_range: [0, 62] # Nethena-20B has 62 layers
merge_method: slerp # Changing to SLERP method
base_model: Undi95/PsyMedRP-v1-20B # Focus on reasoning from PsyMedRP
parameters:
t:
- filter: self_attn
value: [.3, .6, .9, .6, .3] # smooth gradient of focus
value: [.3, .6, .9, .6, .3] # consistent level of creativity and abstract reasoning
- value: 0.639
dtype: bfloat16 # Use preferred dtype