Evomerge_SwedishBeagleDare

Evolutionary model merge

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

104 evaluations

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using NeuralBeagle14-7B as a base.

Models Merged

The following models were included in the merge:

• Mistral-7B-v0.1-flashback-v2
• Mistral-7B-Merge-14-v0.2
• Starling-LM-7B-beta_581094980

Configuration

The following YAML configuration was used to produce this model:

base_model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Mistral-7B-v0.1-flashback-v2_2000655885
    parameters:
      density: 0.9063003498824225
      weight: 0.2716275746104375
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Merge-14-v0.2_3453453312
    parameters:
      density: 0.8605347663753816
      weight: 0.7040535407789865
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.29417107478605065
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
- sources:
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Mistral-7B-v0.1-flashback-v2_2000655885
    parameters:
      density: 0.9575970148743844
      weight: 0.15956926996874868
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Merge-14-v0.2_3453453312
    parameters:
      density: 1.0
      weight: 0.4071229613448434
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 1.0
      weight: 0.29267434269480536
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
- sources:
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Mistral-7B-v0.1-flashback-v2_2000655885
    parameters:
      density: 0.853521244265145
      weight: 0.7268702601235844
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Merge-14-v0.2_3453453312
    parameters:
      density: 1.0
      weight: 0.3526854709444127
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 0.8904104909249966
      weight: 0.565939501390856
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
- sources:
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Mistral-7B-v0.1-flashback-v2_2000655885
    parameters:
      density: 1.0
      weight: 0.3075681562252658
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Merge-14-v0.2_3453453312
    parameters:
      density: 0.6564325638087776
      weight: -0.24554943561719403
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      density: 0.5678792182777617
      weight: 0.218593901640624
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670