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/MLewd-ReMM-L2-Chat-20B-Inverted
layer_range: [0, 62] # MLewd-ReMM-L2-Chat-20B-Inverted has 62 layers
- model: Undi95/PsyMedRP-v1-20B
layer_range: [0, 62] # PsyMedRP-v1-20B has 62 layers
merge_method: slerp # Or use another method like weight_average if needed
base_model: Undi95/PsyMedRP-v1-20B # Can use either as the base model
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1] # Tune these for desired effect
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # Default averaging weight
dtype: bfloat16 # Use preferred dtype, like fp16 or float32 if needed