TareksTesting/Legion-V1A-LLaMa-70B

merge

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using TareksLab/M-BASE-SCE as a base.

Models Merged

The following models were included in the merge:

• TareksLab/M-MERGE1
• TareksLab/M-MERGE3
• TareksLab/M-MERGE2
• TareksLab/M-MERGE4

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/M-MERGE4
    parameters:
      weight: 
      - filter: self_attn
        value: [0.3, 0.1, 0.2]
      - filter: mlp
        value: [0.4, 0.2, 0.1]
      - value: 0.2
      density: 0.7
      lambda: 1.05
  - model: TareksLab/M-MERGE3
    parameters:
      weight: 
      - filter: self_attn
        value: [0.2, 0.1, 0.3]
      - filter: mlp
        value: [0.3, 0.1, 0.2]
      - value: 0.2
      density: 0.65
      lambda: 1.05
  - model: TareksLab/M-MERGE2
    parameters:
      weight: 
      - filter: self_attn
        value: [0.1, 0.3, 0.1]
      - filter: mlp
        value: [0.2, 0.3, 0.1]
      - value: 0.2
      density: 0.6
      lambda: 1.05
  - model: TareksLab/M-MERGE1
    parameters:
      weight: 
      - filter: self_attn
        value: [0.2, 0.2, 0.1]
      - filter: mlp
        value: [0.1, 0.2, 0.2]
      - value: 0.2
      density: 0.6
      lambda: 1
  - model: TareksLab/M-BASE-SCE
    parameters:
      weight: 
      - filter: self_attn
        value: [0.1, 0.3, 0.3]
      - filter: mlp
        value: [0.1, 0.2, 0.4]
      - value: 0.2
      density: 0.55
      lambda: 1
base_model: TareksLab/M-BASE-SCE
merge_method: dare_ties
parameters:
  normalize: false
  pad_to_multiple_of: 4
tokenizer:
  source: TareksLab/M-TOKENIZER-SCE
chat_template: llama3
dtype: bfloat16