license: llama3
library_name: transformers
tags:

• mergekit
• merge
  base_model:
• nbeerbower/llama-3-spicy-8B
• nbeerbower/llama-3-stella-8B
• saishf/Aura-Uncensored-OAS-8B-L3
• cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
  model-index:
• name: llama-3-spicy-abliterated-stella-8B
  results:
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: AI2 Reasoning Challenge (25-Shot)
    type: ai2_arc
    config: ARC-Challenge
    split: test
    args:
    num_few_shot: 25
    
    metrics:
    • type: acc_norm
      value: 65.19
      name: normalized accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: HellaSwag (10-Shot)
    type: hellaswag
    split: validation
    args:
    num_few_shot: 10
    
    metrics:
    • type: acc_norm
      value: 81.98
      name: normalized accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: MMLU (5-Shot)
    type: cais/mmlu
    config: all
    split: test
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 67.88
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: TruthfulQA (0-shot)
    type: truthful_qa
    config: multiple_choice
    split: validation
    args:
    num_few_shot: 0
    
    metrics:
    • type: mc2
      value: 53.65
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: Winogrande (5-shot)
    type: winogrande
    config: winogrande_xl
    split: validation
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 76.48
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard
  • task:
    type: text-generation
    name: Text Generation
    dataset:
    name: GSM8k (5-shot)
    type: gsm8k
    config: main
    split: test
    args:
    num_few_shot: 5
    
    metrics:
    • type: acc
      value: 70.43
      name: accuracy
      source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
      name: Open LLM Leaderboard

llama-3-spicy-abliterated-stella-8B

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using nbeerbower/llama-3-spicy-8B as a base.

Models Merged

The following models were included in the merge:

• nbeerbower/llama-3-stella-8B
• saishf/Aura-Uncensored-OAS-8B-L3
• cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2

Configuration

The following YAML configuration was used to produce this model:

models:
    - model: nbeerbower/llama-3-stella-8B
    - model: saishf/Aura-Uncensored-OAS-8B-L3
    - model: cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
merge_method: model_stock
base_model: nbeerbower/llama-3-spicy-8B
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here