README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - lemon07r/Gemma-2-Ataraxy-9B
  - wzhouad/gemma-2-9b-it-WPO-HB
  - rtzr/ko-gemma-2-9b-it
  - ghost613/gemma9_on_korean_summary_events
  - rtzr/ko-gemma-2-9b-it
model-index:
  - name: Gemma-Ko-Merge
    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: 64.16
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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: 38.79
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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: 0.15
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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: 11.41
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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: 9.12
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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: 31.99
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Gunulhona/Gemma-Ko-Merge
          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 breadcrumbs_ties merge method using lemon07r/Gemma-2-Ataraxy-9B as a base.

Models Merged

The following models were included in the merge:

• wzhouad/gemma-2-9b-it-WPO-HB
• rtzr/ko-gemma-2-9b-it + ghost613/gemma9_on_korean_summary_events
• rtzr/ko-gemma-2-9b-it

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: lemon07r/Gemma-2-Ataraxy-9B
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.7
            gamma: 0.03
      - model: wzhouad/gemma-2-9b-it-WPO-HB
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
      - model: rtzr/ko-gemma-2-9b-it
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
      - model: rtzr/ko-gemma-2-9b-it+ghost613/gemma9_on_korean_summary_events # lora model loading
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
merge_method: breadcrumbs_ties
base_model: lemon07r/Gemma-2-Ataraxy-9B
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.94
IFEval (0-Shot)	64.16
BBH (3-Shot)	38.79
MATH Lvl 5 (4-Shot)	0.15
GPQA (0-shot)	11.41
MuSR (0-shot)	9.12
MMLU-PRO (5-shot)	31.99