Macaroni V2 7B

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 mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• flemmingmiguel/MBX-7B-v3
• mlabonne/OmniBeagle-7B
• vanillaOVO/supermario_v4

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: flemmingmiguel/MBX-7B-v3
    parameters:
      density: 0.7
      weight: 0.5
  - model: vanillaOVO/supermario_v4
    parameters:
      density: 0.7
      weight: 0.3
  - model: mlabonne/OmniBeagle-7B
    parameters:
      density: 0.5
      weight: 0.6
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
  normalize: true
dtype: float16