README.md

metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
  - not-for-all-audiences
base_model:
  - bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
  - bamec66557/MISCHIEVOUS-12B-Mix_0.4v
model-index:
  - name: MISCHIEVOUS-12B-Mix_0.6v
    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: 43.66
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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: 34.73
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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: 12.31
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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: 10.4
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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: 12.34
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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: 29.58
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.6v
          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/MISCHIEVOUS-12B-Mix_III_IV_V
• bamec66557/MISCHIEVOUS-12B-Mix_0.4v

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [0, 8]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [0, 8]
    parameters:
      t:
        - value: 0.72
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [8, 16]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [8, 16]
    parameters:
      t:
        - value: [0.75, 0.85, 0.75]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [16, 24]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [16, 24]
    parameters:
      t:
        - value: [0.85, 1.0, 0.85]
        - filter: feed_forward
          value: [0.9, 1.0, 1.1]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [24, 32]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [24, 32]
    parameters:
      t:
        - value: [0.95, 1.0, 0.95]
  - sources:
      - model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
        layer_range: [32, 40]
      - model: bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V
        layer_range: [32, 40]
    parameters:
      t:
        - value: 1.0
        - filter: self_attn
          value: [0.92, 1.0, 1.08]
merge_method: slerp
base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v
regularization:
  - method: weight_clipping
    clip_range: [-0.04, 0.04]
postprocessing:
  - operation: gaussian_smoothing
    sigma: 0.9
  - operation: normalize
  - operation: quantize
    target_dtype: int8
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	23.84
IFEval (0-Shot)	43.66
BBH (3-Shot)	34.73
MATH Lvl 5 (4-Shot)	12.31
GPQA (0-shot)	10.40
MuSR (0-shot)	12.34
MMLU-PRO (5-shot)	29.58