README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- DreadPoor/Heart_Stolen-8B-Model_Stock
- DreadPoor/Aspire_1.3-8B_model-stock
- DreadPoor/LemonP-8B-Model_Stock
model-index:
- name: BaeZel-8B-LINEAR
  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: 73.78
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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: 35.54
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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: 17.82
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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: 9.51
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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: 13.34
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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: 31.79
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/BaeZel-8B-LINEAR
      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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [DreadPoor/Heart_Stolen-8B-Model_Stock](https://huggingface.co/DreadPoor/Heart_Stolen-8B-Model_Stock)
* [DreadPoor/Aspire_1.3-8B_model-stock](https://huggingface.co/DreadPoor/Aspire_1.3-8B_model-stock)
* [DreadPoor/LemonP-8B-Model_Stock](https://huggingface.co/DreadPoor/LemonP-8B-Model_Stock)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: DreadPoor/Aspire_1.3-8B_model-stock
    parameters:
      weight: 1.0
  - model: DreadPoor/LemonP-8B-Model_Stock
    parameters:
      weight: 1.0
  - model: DreadPoor/Heart_Stolen-8B-Model_Stock
    parameters:
      weight: 1.0
merge_method: linear
normalize: false
int8_mask: true
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_DreadPoor__BaeZel-8B-LINEAR)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |30.30|
|IFEval (0-Shot)    |73.78|
|BBH (3-Shot)       |35.54|
|MATH Lvl 5 (4-Shot)|17.82|
|GPQA (0-shot)      | 9.51|
|MuSR (0-shot)      |13.34|
|MMLU-PRO (5-shot)  |31.79|