narpas/Aurora-Borealis-LLaMa-70B-6.0bpw-h8-exl2

MERGE2

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/MO-MODEL6-V0.1-LLaMa-70B as a base.

Models Merged

The following models were included in the merge:

• TareksLab/MO-MODEL3-V0.2-LLaMa-70B
• TareksLab/MO-MODEL5-V0.3-LLaMa-70B
• TareksLab/MO-MODEL2-V0.2-LLaMa-70B
• TareksLab/MO-MODEL1-V1-LLaMa-70B
• TareksLab/MO-MODEL4-V0.1-LLaMa-70B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.1, 0.2, 0.5]
      density: 0.5
  - model: TareksLab/MO-MODEL4-V0.1-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.2, 0.4, 0.2]
      density: 0.5
  - model: TareksLab/MO-MODEL5-V0.3-LLaMa-70B
    parameters:
      weight: [0.1, 0.2, 0.4, 0.2, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL3-V0.2-LLaMa-70B
    parameters:
      weight: [0.2, 0.4, 0.2, 0.1, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL2-V0.2-LLaMa-70B
    parameters:
      weight: [0.5, 0.2, 0.1, 0.1, 0.1]
      density: 0.5
  - model: TareksLab/MO-MODEL1-V1-LLaMa-70B
    parameters:
      weight: 0.10
      density: 0.5
merge_method: dare_ties
base_model: TareksLab/MO-MODEL6-V0.1-LLaMa-70B
parameters:
  normalize: false
  int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: base