LemonadeRP-4.5.3 / mergekit_config.yml
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base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
- layer_range: [0, 32]
model: mistralai/Mistral-7B-v0.1
- layer_range: [0, 32]
model: NeverSleep/Noromaid-7B-0.4-DPO
parameters:
weight: 0.37
- layer_range: [0, 32]
model: cgato/Thespis-CurtainCall-7b-v0.2.2
parameters:
weight: 0.32
- layer_range: [0, 32]
model: NurtureAI/neural-chat-7b-v3-1-16k
parameters:
weight: 0.15
- layer_range: [0, 32]
model: cgato/Thespis-7b-v0.5-SFTTest-2Epoch
parameters:
weight: 0.38
- layer_range: [0, 32]
model: tavtav/eros-7b-test
parameters:
weight: 0.18