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: Undi95/MXLewd-L2-20B
layer_range: [0, 62] # MXLewd has 62 layers
merge_method: slerp
base_model: Undi95/PsyMedRP-v1-20B
parameters:
t:
- filter: self_attn
value: [0.7, 0.6, 0.8, 0.9, 1] # Boost PsyMedRP's role in attention, especially deeper layers
- filter: mlp
value: [0.6, 0.7, 0.8, 0.4, 0.5] # Adjust MLP for more abstraction but also balance
- value: 0.65 # Favor PsyMedRP overall in the blending
dtype: bfloat16 # Preferred dtype, or adjust to fp16 for performance