README.md

---
base_model:
- bunnycore/Tulu-3.1-8B-SuperNova
- johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9
- refuelai/Llama-3-Refueled
- DreadPoor/Aspire-8B-model_stock
library_name: transformers
tags:
- mergekit
- merge
model-index:
- name: TEST06-ignore
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: wis-k/instruction-following-eval
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 73.23
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: SaylorTwift/bbh
      split: test
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 35.92
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: lighteval/MATH-Hard
      split: test
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 11.71
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 4.92
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      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: 11.41
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      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: 29.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FTEST06-ignore
      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 [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [bunnycore/Tulu-3.1-8B-SuperNova](https://huggingface.co/bunnycore/Tulu-3.1-8B-SuperNova) as a base.

### Models Merged

The following models were included in the merge:
* [johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9](https://huggingface.co/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9)
* [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled)
* [DreadPoor/Aspire-8B-model_stock](https://huggingface.co/DreadPoor/Aspire-8B-model_stock)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: bunnycore/Tulu-3.1-8B-SuperNova
dtype: bfloat16
merge_method: breadcrumbs
parameters:
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model: johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9
    parameters:
      density: 0.3
      weight: 1
      gamma: 0.01
  - layer_range: [0, 32]
    model: refuelai/Llama-3-Refueled
    parameters:
      density: 0.3
      weight: 1
      gamma: 0.01
  - layer_range: [0, 32]
    model: DreadPoor/Aspire-8B-model_stock
    parameters:
      density: 0.3
      weight: 1
      gamma: 0.01
  - layer_range: [0, 32]
    model: bunnycore/Tulu-3.1-8B-SuperNova
    parameters:
      density: 0.5
      weight: 1
      gamma: 0.01
```

# [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/DreadPoor__TEST06-ignore-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2FTEST06-ignore&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    27.71|
|IFEval (0-Shot)    |    73.23|
|BBH (3-Shot)       |    35.92|
|MATH Lvl 5 (4-Shot)|    11.71|
|GPQA (0-shot)      |     4.92|
|MuSR (0-shot)      |    11.41|
|MMLU-PRO (5-shot)  |    29.06|