TareksLab/Progenitor-V3-LLaMa-70B

More experimentation, for this one I kept the winning formula from Progenitor V1.1 however I changed the base model to the huihui-ai/Llama-3.3-70B-Instruct-abliterated in hopes that its ability to follow instructions and its generally increased IQ would take Progenitor to the next level.

merge

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 huihui-ai/Llama-3.3-70B-Instruct-abliterated as a base.

Models Merged

The following models were included in the merge:

• Sao10K/70B-L3.3-Cirrus-x1
• SicariusSicariiStuff/Negative_LLAMA_70B
• TheDrummer/Anubis-70B-v1
• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
• Sao10K/L3.1-70B-Hanami-x1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3.1-70B-Hanami-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
      density: 0.7
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: 0.20
      density: 0.7
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.20
      density: 0.7
merge_method: della_linear
base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
parameters:
  epsilon: 0.2
  lambda: 1.1
dype: float32
out_dtype: bfloat16
tokenizer:
 source: union