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: djuna-test-lab/TEST-Ocerus-7B
layer_range: [0, 16]
- model: aws-prototyping/MegaBeam-Mistral-7B-512k
layer_range: [0, 16]
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: [0.6,0.35,0.5]
- sources:
- model: djuna-test-lab/TEST-Ocerus-7B
layer_range: [16, 32]
- model: aws-prototyping/MegaBeam-Mistral-7B-512k
layer_range: [16, 32]
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
merge_method: slerp
base_model: aws-prototyping/MegaBeam-Mistral-7B-512k
dtype: float32
out_dtype: bfloat16