Noromaid-Panda-Mistral-7B-slerp / mergekit_config.yml
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base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 32]
model: Azazelle/Half-NSFW_Noromaid-7b
- layer_range: [0, 32]
model: NeuralNovel/Panda-7B-v0.1