ntegrals/NeuralMerge-9B-Dare

merged

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:

• samir-fama/SamirGPT-v1
• EmbeddedLLM/Mistral-7B-Merge-14-v0.2
• abacusai/Slerp-CM-mist-dpo

Configuration

The following YAML configuration was used to produce this model:

base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
merge_method: dare_ties
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 32]
        model: mistralai/Mistral-7B-v0.1
      - layer_range: [0, 32]
        model: samir-fama/SamirGPT-v1
        parameters:
          density: 0.53
          weight: 0.4
      - layer_range: [0, 32]
        model: abacusai/Slerp-CM-mist-dpo
        parameters:
          density: 0.53
          weight: 0.3
      - layer_range: [0, 32]
        model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
        parameters:
          density: 0.53
          weight: 0.3
parameters:
  int8_mask: 1.0