ezo-merge-9b-gemma-2-it

final_model

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using google/gemma-2-9b-it as a base.

Models Merged

The following models were included in the merge:

• AXCXEPT/EZO-Common-9B-gemma-2-it
• AXCXEPT/EZO-Humanities-9B-gemma-2-it

Configuration

The following YAML configuration was used to produce this model:

base_model: google/gemma-2-9b-it
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 42]
    model: AXCXEPT/EZO-Common-9B-gemma-2-it
    parameters:
      density: [1.0, 1.0, 1.0, 1.0, 1.0, 0.8609260279433345]
      weight: [0.595007212574231, 0.46180161884966264, 0.5081090754627522, 0.7594430240728707,
        0.39626499912268787, 0.7442924351417195]
  - layer_range: [0, 42]
    model: AXCXEPT/EZO-Humanities-9B-gemma-2-it
    parameters:
      density: [1.0, 0.6904504730518576, 0.8514905340703336, 1.0, 0.9636307820050712,
        1.0]
      weight: [0.40256314456396064, 0.762089082959327, 0.6352898264013093, 0.0652347269897402,
        0.4936558839209752, 0.5672108261487534]
  - layer_range: [0, 42]
    model: google/gemma-2-9b-it