README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - bamec66557/mergekit-model_stock-zdaysvi
  - bamec66557/MISCHIEVOUS-12B-Mix_0.4v
model-index:
  - name: VICIOUS_MESH-12B-ALPHA
    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: 63.65
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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: 30.51
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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: 11.25
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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: 8.5
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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: 12.44
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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: 29.96
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/VICIOUS_MESH-12B-ALPHA
          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 SLERP merge method.

Models Merged

The following models were included in the merge:

• bamec66557/mergekit-model_stock-zdaysvi
• bamec66557/MISCHIEVOUS-12B-Mix_0.4v

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: bamec66557/mergekit-model_stock-zdaysvi
        layer_range: [0, 20]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [0, 20]
    parameters:
      t:
        - value: 0.8

  - sources:
      - model: bamec66557/mergekit-model_stock-zdaysvi
        layer_range: [20, 40]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [20, 40]
    parameters:
      t:
        - value: 1.0
        - filter: self_attn
          value: [0.8, 0.9, 1.0, 1.1, 1.2]

merge_method: slerp  # Preserve merge method

base_model: bamec66557/mergekit-model_stock-zdaysvi  # Base model

dtype: bfloat16  # Data types for fast merges

# Additional options
regularization:
  - method: weight_clipping
    clip_range: [-0.1, 0.1]

postprocessing:
  - operation: gaussian_smoothing
    sigma: 1.5  # Gaussian smoothing intensity
  - operation: smoothing
    parameters:
      adaptive: true
      range: [0.8, 1.2]  # Adaptively adjust
      kernel_size: 5  # Smoothing larger ranges with increased kernel size
  - operation: normalize  # Normalise after merge

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	26.05
IFEval (0-Shot)	63.65
BBH (3-Shot)	30.51
MATH Lvl 5 (4-Shot)	11.25
GPQA (0-shot)	8.50
MuSR (0-shot)	12.44
MMLU-PRO (5-shot)	29.96