Everything Bagel Collection
Collection
4 items
•
Updated
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: mlabonne/Daredevil-7B
layer_range: [0, 32] # Adjust based on the actual number of layers
- model: mrcuddle/Bagel-Hermes-Lumimaid-Llama3-8B
layer_range: [0, 32] # Adjust based on the actual number of layers
merge_method: slerp
base_model: mrcuddle/Bagel-Hermes-Lumimaid-Llama3-8B
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
dtype: bfloat16