EXPERIMENTAL-MODEL-F

MERGE2

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

Merge Details

Merge Method

This model was merged using the DELLA merge method using TareksLab/Sapphire-V2-LLaMa-70B as a base.

Models Merged

The following models were included in the merge:

• TareksLab/Ruby-V2-LLaMa-70B
• TareksLab/Carnelian-V2-LLaMa-70B
• TareksLab/Citrine-V2-LLaMa-70B
• TareksLab/Emerald-V2-LLaMa-70B
• TareksLab/Amethyst-V2-LLaMa-70B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/Emerald-V2-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.1, 0.2, 0.5]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Carnelian-V2-LLaMa-70B
    parameters:
      weight: [0.1, 0.1, 0.2, 0.4, 0.2]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Ruby-V2-LLaMa-70B
    parameters:
      weight: [0.1, 0.2, 0.4, 0.2, 0.1]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Amethyst-V2-LLaMa-70B
    parameters:
      weight: [0.2, 0.4, 0.2, 0.1, 0.1]
      density: 0.5
      epsilon: 0.15
  - model: TareksLab/Citrine-V2-LLaMa-70B
    parameters:
      weight: [0.5, 0.2, 0.1, 0.1, 0.1]
      density: 0.5
      epsilon: 0.15
merge_method: della
base_model: TareksLab/Sapphire-V2-LLaMa-70B
parameters:
  lambda: 1.1
  normalize: false
  int8_mask: true
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: TareksLab/Ruby-V2-LLaMa-70B
 pad_to_multiple_of: 8