Gemma-Med-Merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the breadcrumbs_ties merge method using Gunulhona/Gemma-Ko-Med as a base.

Models Merged

The following models were included in the merge:

• Shaleen123/gemma2-9b-medical
• valeriojob/MedGPT-Gemma2-9B-BA-v.1
• ChuGyouk/ko-med-gemma-2-9b-it-merge2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ChuGyouk/ko-med-gemma-2-9b-it-merge2
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: Shaleen123/gemma2-9b-medical
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: valeriojob/MedGPT-Gemma2-9B-BA-v.1
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: Gunulhona/Gemma-Ko-Med
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.09
merge_method: breadcrumbs_ties
base_model: Gunulhona/Gemma-Ko-Med
dtype: float16