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NeuraLake-m7-v2-7B⚡

NeuraLake-m7-v2-7B is a merge of the following models using mergekit:

🛠️ Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
    
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      weight: 0.3
      density: 0.8
  - model: chargoddard/loyal-piano-m7
    parameters:
      weight: 0.4
      density: 0.8
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      weight: 0.3
      density: 0.4
  - model: athirdpath/NSFW_DPO_vmgb-7b
    parameters:
      weight: 0.2
      density: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
  # normalize: true
dtype: bfloat16
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Model size
7.24B params
Tensor type
BF16
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Collection including Meggido/NeuraLake-m7-v2-7B