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merge

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 LeroyDyer/Mixtral_AI_Cyber_3.m1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:


models:
  - model: arcee-ai/BioMistral-merged-zephyr
    parameters:
      density: [0.256, 0.512, 0.128] # density gradient
      weight: 0.382
  - model: yam-peleg/Experiment26-7B
    parameters:
      density: 0.382
      weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
  - model: AiMavenAi/Prometheus-1.3
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient      
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.382
      weight: [0.256, 0.256, 0.512, 0.128] # weight gradient    
  - model: Kukedlc/NeuralKrishna-7B-slerp
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient                
  - model: AetherResearch/Cerebrum-1.0-7b
    parameters:
      density: 0.382
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.m1
parameters:
  normalize: true
  int8_mask: true
dtype: float16
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