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models:
- model: meta-llama/Meta-Llama-3-8B # no parameters necessary for base model
- model: bineric/NorskGPT-Llama3-8b
parameters:
density: 0.5 # fraction of weights in differences from the base model to retain
weight: # weight gradient
- filter: mlp
value: 0.5
- value: 0
- model: NousResearch/Hermes-2-Theta-Llama-3-8B
parameters:
density: 0.5
weight: 0.5
merge_method: dare_ties
base_model: meta-llama/Meta-Llama-3-8B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
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