README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ycros/BagelMIsteryTour-v2-8x7B
- smelborp/MixtralOrochi8x7B
- cognitivecomputations/dolphin-2.7-mixtral-8x7b
model-index:
- name: maid-yuzu-v7
  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: 64.62
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      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: 26.82
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      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: 8.91
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      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: 7.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      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: 9.77
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      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: 28.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rhplus0831/maid-yuzu-v7
      name: Open LLM Leaderboard
---
# maid-yuzu-v7

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

I don't know anything about merges, so this may be a stupid method, but I was curious how the models would be merged if I took this approach.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

This model is a model that first merges Model [Orochi](https://huggingface.co/smelborp/MixtralOrochi8x7B) with Model [dolphin](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) with a 0.15 SLERP option, and then merges Model [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) with a 0.2 SLERP option based on the merged model.

### Models Merged

The following models were included in the merge:
* [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B)
* ../maid-yuzu-v7-base

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model:
  model:
    path: ../maid-yuzu-v7-base
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - value: 0.2
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: ../maid-yuzu-v7-base
  - layer_range: [0, 32]
    model:
      model:
        path: ycros/BagelMIsteryTour-v2-8x7B
```

# [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_rhplus0831__maid-yuzu-v7)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |24.38|
|IFEval (0-Shot)    |64.62|
|BBH (3-Shot)       |26.82|
|MATH Lvl 5 (4-Shot)| 8.91|
|GPQA (0-shot)      | 7.94|
|MuSR (0-shot)      | 9.77|
|MMLU-PRO (5-shot)  |28.22|