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models:
- model: NousResearch/Meta-Llama-3-8B
# Base model providing a general foundation without specific parameters
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
density: 0.58
weight: 0.25 # Slightly reduced to allow more contribution from other specialized models
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.52
weight: 0.15 # Reduced to prevent dominance and keep the focus balanced
- model: Locutusque/Llama-3-Orca-1.0-8B
parameters:
density: 0.52
weight: 0.15 # Balanced to complement the base model without overshadowing
- model: abacusai/Llama-3-Smaug-8B
parameters:
density: 0.52
weight: 0.15 # Adjusted to maintain a supportive role in the combined model
- model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
parameters:
density: 0.53
weight: 0.2 # Kept relatively higher to emphasize the Korean language performance
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
int8_mask: true
dtype: bfloat16
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