TareksTesting/Legion-V1.4-LLaMa-70B

LegionDL

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

Merge Details

Merge Method

This model was merged using the Linear DELLA 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-MERGE3
• TareksLab/M-MERGE2
• TareksLab/M-MERGE1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/M-MERGE4
    parameters:
      weight: 0.15
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE3
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE2
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE1
    parameters:
      weight: 0.25
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-BASE-SCE
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.1
      lambda: 1.0
merge_method: della_linear
base_model: TareksLab/M-BASE-SCE
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
 source: TareksLab/M-TOKENIZER-SCE