base_model:

• T145/ZEUS-8B-V17
• Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
  library_name: transformers
  tags:
• mergekit
• merge
  model-index:
• name: ZEUS-8B-V17-abliterated
  results:
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: IFEval (0-Shot)
    type: wis-k/instruction-following-eval
    split: train
    args:
    num_few_shot: 0
    
    metrics:
    • type: inst_level_strict_acc and prompt_level_strict_acc
      value: 75.76
      name: averaged accuracy
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: BBH (3-Shot)
    type: SaylorTwift/bbh
    split: test
    args:
    num_few_shot: 3
    
    metrics:
    • type: acc_norm
      value: 31.52
      name: normalized accuracy
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: MATH Lvl 5 (4-Shot)
    type: lighteval/MATH-Hard
    split: test
    args:
    num_few_shot: 4
    
    metrics:
    • type: exact_match
      value: 2.27
      name: exact match
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: GPQA (0-shot)
    type: Idavidrein/gpqa
    split: train
    args:
    num_few_shot: 0
    
    metrics:
    • type: acc_norm
      value: 7.16
      name: acc_norm
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: MuSR (0-shot)
    type: TAUR-Lab/MuSR
    args:
    num_few_shot: 0
    
    metrics:
    • type: acc_norm
      value: 13.13
      name: acc_norm
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: MMLU-PRO (5-shot)
    type: TIGER-Lab/MMLU-Pro
    config: main
    split: test
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 29.13
      name: accuracy
      source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V17-abliterated
      name: Open LLM Leaderboard

ZEUS-8B-V17-abliterated

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

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• T145/ZEUS-8B-V17
• Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: T145/ZEUS-8B-V17
      layer_range: [0, 18]
  - sources:
    # Reasoning: The script used to abliterate V2 & V13 identified layer 19 as the target with the most refusal.
    # Substituting the whole layer with that from the uncensored model should effectively abliterate V17 and future similar merges.
    - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
      layer_range: [19, 19]
  - sources:
    - model: T145/ZEUS-8B-V17
      layer_range: [20, 32]
merge_method: passthrough
tokenizer_source: T145/ZEUS-8B-V17
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here!
Summarized results can be found here!