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:
merge_method: slerp
base_model: "SvalTek/Gemma-7B-ColdBrew-RP"
slices:
- sources:
- model: "SvalTek/Gemma-7B-ColdBrew-RP"
layer_range: [0, 42]
- model: "KishoreK/ActionGemma-9B"
layer_range: [0, 42]
parameters:
t:
- filter: self_attn # coherence from ActionGemma
value: [0.3, 0.5, 0.7, 0.9, 1]
- filter: mlp # creativity from ColdBrew
value: [0.7, 0.5, 0.3, 0.1, 0]
- filter: layer_norm # consistency from ActionGemma
value: [0.4, 0.6, 0.8, 1, 1]
- filter: pos_embed # sequence understanding from ActionGemma
value: [0.5, 0.7, 0.9, 1, 1]
- value: 0.5
dtype: bfloat16
tokenizer_source: base