evo-test-7b-01

final_merge

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 ./storage2/input_models/Mistral-7B-v0.1_8133861 as a base.

Models Merged

The following models were included in the merge:

• ./storage2/input_models/WizardMath-7B-V1.1_2027605156
• ./storage2/input_models/Abel-7B-002_121690448
• ./storage2/input_models/shisa-gamma-7b-v1_4025154171

Configuration

The following YAML configuration was used to produce this model:

base_model: ./storage2/input_models/Mistral-7B-v0.1_8133861
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
    parameters:
      density: 0.6699910985974532
      weight: 0.13529360500839205
  - layer_range: [0, 8]
    model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
    parameters:
      density: 0.8652557087160213
      weight: 0.6985440552740758
  - layer_range: [0, 8]
    model: ./storage2/input_models/Abel-7B-002_121690448
    parameters:
      density: 0.4323464491414452
      weight: 0.8179823325064868
  - layer_range: [0, 8]
    model: ./storage2/input_models/Mistral-7B-v0.1_8133861
- sources:
  - layer_range: [8, 16]
    model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
    parameters:
      density: 1.0
      weight: 0.03216719764341956
  - layer_range: [8, 16]
    model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
    parameters:
      density: 0.6967615831667242
      weight: 0.8043194027622319
  - layer_range: [8, 16]
    model: ./storage2/input_models/Abel-7B-002_121690448
    parameters:
      density: 0.7897142847167249
      weight: 0.09233872355906134
  - layer_range: [8, 16]
    model: ./storage2/input_models/Mistral-7B-v0.1_8133861
- sources:
  - layer_range: [16, 24]
    model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
    parameters:
      density: 1.0
      weight: 0.6740405166949244
  - layer_range: [16, 24]
    model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
    parameters:
      density: 0.5417954561416459
      weight: 0.308476065247547
  - layer_range: [16, 24]
    model: ./storage2/input_models/Abel-7B-002_121690448
    parameters:
      density: 0.7841601014052402
      weight: 0.02993327454595157
  - layer_range: [16, 24]
    model: ./storage2/input_models/Mistral-7B-v0.1_8133861
- sources:
  - layer_range: [24, 32]
    model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
    parameters:
      density: 0.5892764365325144
      weight: 0.7288214753840682
  - layer_range: [24, 32]
    model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
    parameters:
      density: 0.8133101423312465
      weight: 0.06233401147902682
  - layer_range: [24, 32]
    model: ./storage2/input_models/Abel-7B-002_121690448
    parameters:
      density: 0.9351019303077212
      weight: 0.008694459163933368
  - layer_range: [24, 32]
    model: ./storage2/input_models/Mistral-7B-v0.1_8133861