README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
  - mlabonne/NeuralDaredevil-8B-abliterated
model-index:
  - name: BuddyGlassNeverSleeps
    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: 42.39
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          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: 28.48
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          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: 5.74
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          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: 5.93
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          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: 8.61
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          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: 27.25
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=darkc0de/BuddyGlassNeverSleeps
          name: Open LLM Leaderboard

merge

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

Merge Details

Merge Method

This model was merged using the della merge method using Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 as a base.

Models Merged

The following models were included in the merge:

• mlabonne/NeuralDaredevil-8B-abliterated

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
    parameters:
      weight: 1.0
  - model: mlabonne/NeuralDaredevil-8B-abliterated
    parameters:
      weight: 1.0
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
merge_method: della
parameters:
  normalize: true
  int8_mask: true
  density: 0.7
  lambda: 1.1
  epsilon: 0.2
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	19.73
IFEval (0-Shot)	42.39
BBH (3-Shot)	28.48
MATH Lvl 5 (4-Shot)	5.74
GPQA (0-shot)	5.93
MuSR (0-shot)	8.61
MMLU-PRO (5-shot)	27.25