---
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](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the breadcrumbs_ties merge method using [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/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](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
* [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it) + [ghost613/gemma9_on_korean_summary_events](https://huggingface.co/ghost613/gemma9_on_korean_summary_events)
* [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Gunulhona__Gemma-Ko-Merge)

|      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|