File size: 568 Bytes
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models:
- model: mistralai/Mistral-7B-v0.1 # no parameters necessary for base model
- model: PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed
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: codellama/CodeLlama-7b-Instruct-hf
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
normalize: true
int8_mask: true
dtype: float16 |