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 prithivMLmods/Phi-4-Empathetic + ngxson/LoRA-phi-4-abliterated as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: prithivMLmods/Phi-4-Empathetic+ngxson/LoRA-phi-4-abliterated
  - model: prithivMLmods/Phi-4-o1+ngxson/LoRA-phi-4-abliterated
    parameters:
      density: 0.75
      weight: 0.75
  - model: prithivMLmods/Phi-4-QwQ+ngxson/LoRA-phi-4-abliterated
    parameters:
      density: 0.50
      weight: 0.50
  - model: prithivMLmods/Phi-4-Math-IO+ngxson/LoRA-phi-4-abliterated
    parameters:
      density: 0.30
      weight: 0.30
merge_method: ties
base_model: prithivMLmods/Phi-4-Empathetic+ngxson/LoRA-phi-4-abliterated
parameters:
  normalize: true
dytpe: float32
Downloads last month
66
Safetensors
Model size
14.7B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Sorawiz/Phi-4-Base

Collection including Sorawiz/Phi-4-Base