brasserie
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Passthrough merge method.
Models Merged
The following models were included in the merge:
- merge/para
 
Configuration
The following YAML configuration was used to produce this model:
dtype: float32
merge_method: passthrough
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 8]
        model: merge/para
    - sources:
      - layer_range: [4, 8]
        model: merge/para
        parameters:
          scale:
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
    - sources:
      - layer_range: [8, 12]
        model: merge/para
    - sources:
      - layer_range: [8, 12]
        model: merge/para
        parameters:
          scale:
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
    - sources:
      - layer_range: [12, 16]
        model: merge/para
    - sources:
      - layer_range: [12, 16]
        model: merge/para
        parameters:
          scale:
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
    - sources:
      - layer_range: [16, 28]
        model: merge/para
    - sources:
      - layer_range: [24, 28]
        model: merge/para
        parameters:
          scale:
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
    - sources:
      - layer_range: [28, 32]
        model: merge/para
    - sources:
      - layer_range: [30, 32]
        model: merge/para
        parameters:
          scale:
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
- Downloads last month
 - 54