output_folder

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

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: linear
parameters:
  weight: 1.0
slices:
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [0,1]
      - model: NexusFlow/Starling-LM-7B-beta
        layer_range: [0,1]
        parameters: 
          weight: 0
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [1,8]        
  - sources:
      - model: NexusFlow/Starling-LM-7B-beta
        layer_range: [4,12]
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [8,16]        
  - sources:
      - model: NexusFlow/Starling-LM-7B-beta
        layer_range: [12,20]  
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [16,24]        
  - sources:
      - model: NexusFlow/Starling-LM-7B-beta
        layer_range: [20,28]
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [24,31]        
  - sources:
      - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
        layer_range: [31,32]
      - model: NexusFlow/Starling-LM-7B-beta
        layer_range: [31,32]
        parameters: 
          weight: 0          
dtype: float16
tokenizer_source: model:cognitivecomputations/dolphin-2.8-mistral-7b-v02