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merged_v2

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:

Configuration

The following YAML configuration was used to produce this model:

base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model: oz1115/Marcoro14-7B-slerp_v2
    parameters:
      density: [1.0, 0.7, 0.1]
      weight: 1.0
  - layer_range: [0, 32]
    model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: 0.33
      weight:
      - filter: mlp
        value: 0.5
      - value: 0.0
  - layer_range: [0, 32]
    model: mistralai/Mistral-7B-v0.1
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