Moko-Sample

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

Merge Details

Merge Method

This model was merged using the sample_ties merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• WizardLM/WizardMath-7B-V1.1
• akjindal53244/Mistral-7B-v0.1-Open-Platypus
• Open-Orca/Mistral-7B-OpenOrca

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: WizardLM/WizardMath-7B-V1.1
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: sample_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: float16