Mistral-Ko-Merge / mergekit_config.yml
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slices:
- sources:
- model: Edentns/DataVortexM-7B-Instruct-v0.1
layer_range: [0, 32]
parameters:
weight: 1.0
- model: refarde/Mistral-7B-Instruct-v0.2-Ko-S-Core
layer_range: [0, 32]
parameters:
weight: 1.0
- model: Alphacode-AI/AlphaMist7B-slr-v3
layer_range: [0, 32]
parameters:
weight: 1.0
- model: AIdenU/Mistral-7b-ko-Y24-DPO_v0.1
layer_range: [0, 32]
parameters:
weight: 1.0
merge_method: della
base_model: Edentns/DataVortexM-7B-Instruct-v0.1
parameters:
normalize: true
int8_mask: true
density: 0.7
lambda: 1.1
epsilon: 0.2
dtype: bfloat16