README.md

metadata

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

Metric	Value
Avg.	69.27
AI2 Reasoning Challenge (25-Shot)	65.19
HellaSwag (10-Shot)	81.98
MMLU (5-Shot)	67.88
TruthfulQA (0-shot)	53.65
Winogrande (5-shot)	76.48
GSM8k (5-shot)	70.43