merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 as a base.
Models Merged
The following models were included in the merge:
- ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 + bunnycore/Phi-3.5-mini-System-lora
- nbeerbower/phi3.5-gutenberg-4B + bunnycore/Phi-3.1-EvolKit-lora
- nbeerbower/phi3.5-gutenberg-4B + bunnycore/Phi-3.5-Mini-RP-Sonet
- AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding + bunnycore/Phi-3.1-EvolKit-lora
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1+bunnycore/Phi-3.5-mini-System-lora
parameters:
density: 0.5
weight: 0.5
- model: nbeerbower/phi3.5-gutenberg-4B+bunnycore/Phi-3.5-Mini-RP-Sonet
parameters:
density: 0.5
weight: 0.5
- model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding+bunnycore/Phi-3.1-EvolKit-lora
parameters:
density: 0.5
weight: 0.5
- model: nbeerbower/phi3.5-gutenberg-4B+bunnycore/Phi-3.1-EvolKit-lora
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
parameters:
normalize: false
int8_mask: true
dtype: float16
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