Experimental Model Merge ⚗️
Collection
Experimental Model Merge using mergekit FP16 Weight
•
7 items
•
Updated
•
2
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: ./merged/phase1
layer_range: [0, 32]
- model: Undi95/Toppy-M-7B
layer_range: [0, 32]
merge_method: slerp
base_model: ./merged/phase1
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: bfloat16
Base model
Undi95/Toppy-M-7B