README.md

metadata

license: llama3.1
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
  - meta-llama/Meta-Llama-3.1-8B
  - meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
  - name: Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 45.51
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 28.91
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 11.63
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 2.24
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          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: 6.59
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          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: 29.76
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
          name: Open LLM Leaderboard

Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES

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

Merge Details

Merge Method

This model was merged using the TIES merge method using meta-llama/Meta-Llama-3.1-8B as a base.

Models Merged

The following models were included in the merge:

• mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
• meta-llama/Meta-Llama-3.1-8B-Instruct

Configuration

The following YAML configuration was used to produce this model:

base_model: meta-llama/Meta-Llama-3.1-8B
chat_template: auto
dtype: float16
merge_method: ties
models:
- model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
  parameters:
    density: 0.5
    weight: 0.5
- model: meta-llama/Meta-Llama-3.1-8B-Instruct
  parameters:
    density: 0.5
    weight: 0.5
parameters:
  int8_mask: true
  normalize: false

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.77
IFEval (0-Shot)	45.51
BBH (3-Shot)	28.91
MATH Lvl 5 (4-Shot)	11.63
GPQA (0-shot)	2.24
MuSR (0-shot)	6.59
MMLU-PRO (5-shot)	29.76