BioHermes-7B-slerp / mergekit_config.yml
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slices:
- sources:
- model: BioMistral/BioMistral-7B-SLERP
layer_range: [0, 32]
- model: mlabonne/NeuralHermes-2.5-Mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: BioMistral/BioMistral-7B-SLERP
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