TareksTesting/Legion-V1.6-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-MERGE4
• TareksLab/M-MERGE1
• TareksLab/M-MERGE2
• TareksLab/M-MERGE3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/M-MERGE4
    parameters:
      weight: 0.15
      density: 0.53
  - model: TareksLab/M-MERGE3
    parameters:
      weight: 0.20
      density: 0.53
  - model: TareksLab/M-MERGE2
    parameters:
      weight: 0.25
      density: 0.53
  - model: TareksLab/M-MERGE1
    parameters:
      weight: 0.30
      density: 0.53
  - model: TareksLab/M-BASE-SCE
    parameters:
      weight: 0.10
      density: 0.53
merge_method: dare_ties
base_model: TareksLab/M-BASE-SCE
parameters:
  normalize: false
out_dtype: bfloat16
tokenizer:
 source: TareksLab/M-TOKENIZER-SCE