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 + bunnycore/Phi-3.5-rp-lora_model as a base.
Models Merged
The following models were included in the merge:
- ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
- MaziyarPanahi/calme-2.1-phi3.5-4b + bunnycore/Phi-3.5-rp-lora_model
- bunnycore/Phi-3.5-mini-TitanFusion-0.3
- bunnycore/Phi-3.5-mini-TitanFusion-0.1
- bunnycore/mergekit-ties-fftkoci + bunnycore/Phi-3.5-rp-lora_model
Configuration
The following YAML configuration was used to produce this model:
models:
- model: bunnycore/Phi-3.5-mini-TitanFusion-0.3
parameters:
weight: 1
- model: bunnycore/Phi-3.5-mini-TitanFusion-0.1
parameters:
weight: 1
- model: MaziyarPanahi/calme-2.1-phi3.5-4b+bunnycore/Phi-3.5-rp-lora_model
parameters:
weight: 1
- model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
parameters:
weight: 1
- model: bunnycore/mergekit-ties-fftkoci+bunnycore/Phi-3.5-rp-lora_model
parameters:
weight: 1
merge_method: ties
base_model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1+bunnycore/Phi-3.5-rp-lora_model
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
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