NeuralMerge-9B-Ties

merged

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

Merge Details

Merge Method

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

Models Merged

The following models were included in the merge:

• OpenPipe/mistral-ft-optimized-1218
• mlabonne/NeuralHermes-2.5-Mistral-7B

Configuration

The following YAML configuration was used to produce this model:

base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: ties
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 32]
        model: mistralai/Mistral-7B-v0.1
      - layer_range: [0, 32]
        model: OpenPipe/mistral-ft-optimized-1218
        parameters:
          density: 0.5
          weight: 0.5
      - layer_range: [0, 32]
        model: mlabonne/NeuralHermes-2.5-Mistral-7B
        parameters:
          density: 0.5
          weight: 0.3
parameters:
  normalize: 1.0