Evolutionary model merging

This is a merge of pre-trained language models created using mergekit. However, only 2 evalations.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using Mistral-7B-Instruct-v0.2 as a base.

Models Merged

The following models were included in the merge:

Starling-LM-7B-beta_581094980
NeuralBeagle14-7B_2368216670
Mistral-7B-Instruct-v0.2_674785087
sol_2748493923

Configuration

The following YAML configuration was used to produce this model:

base_model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.445198554642378
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.005659554655209731
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.3149085451085008
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.07684631401806669
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.4987353671063862
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.5082785378119663
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.5687639014384054
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.5007180726769771
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.3855348742111532
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.17691410154696996
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.2031085126199354
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.5603073995258283
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087