README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
  - LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
model-index:
  - name: SpydazWeb_HumanAI_M3
    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: 15.79
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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: 4.77
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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: 0.23
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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: 2.8
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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: 7.13
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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: 1.65
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_HumanAI_M3
          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 TIES merge method using SpydazWeb_HumanAI_M2 as a base.

Models Merged

The following models were included in the merge:

• LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
• LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
• SpydazWeb_HumanAI_M1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: SpydazWeb_HumanAI_M1
    parameters:
      density: 0.256
      weight: [0.768, 0.768, 0.128, 0.128] # weight gradient
  - model: SpydazWeb_HumanAI_M2
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project_r1
    parameters:
      density: 0.768
      weight: [0.128, 0.512, 0.768, 0.256] # weight gradient
  - model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003
    parameters:
      density: 0.256
      weight:
        - filter: mlp
          value: 0.768
        - value: 0.512
merge_method: ties
base_model: SpydazWeb_HumanAI_M2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	5.39
IFEval (0-Shot)	15.79
BBH (3-Shot)	4.77
MATH Lvl 5 (4-Shot)	0.23
GPQA (0-shot)	2.80
MuSR (0-shot)	7.13
MMLU-PRO (5-shot)	1.65