README.md

---
base_model:
- akjindal53244/Llama-3.1-Storm-8B
- kloodia/lora-8b-physic
- Nekochu/Luminia-8B-RP
- ResplendentAI/Smarts_Llama3
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- kloodia/lora-8b-medic
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- refuelai/Llama-3-Refueled
- Blackroot/Llama-3-8B-Abomination-LORA
- Replete-AI/L3-Pneuma-8B
- ResplendentAI/NoWarning_Llama3
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
model-index:
- name: OrangeJ-8B-Model_Stock
  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: 78.41
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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: 35.15
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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: 16.84
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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: 6.82
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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: 10.35
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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: 32.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FOrangeJ-8B-Model_Stock
      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 Stock](https://arxiv.org/abs/2403.19522) merge method using [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B) + [kloodia/lora-8b-physic](https://huggingface.co/kloodia/lora-8b-physic)
* [Nekochu/Luminia-8B-RP](https://huggingface.co/Nekochu/Luminia-8B-RP) + [ResplendentAI/Smarts_Llama3](https://huggingface.co/ResplendentAI/Smarts_Llama3)
* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) + [kloodia/lora-8b-medic](https://huggingface.co/kloodia/lora-8b-medic)
* [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled) + [Blackroot/Llama-3-8B-Abomination-LORA](https://huggingface.co/Blackroot/Llama-3-8B-Abomination-LORA)
* [Replete-AI/L3-Pneuma-8B](https://huggingface.co/Replete-AI/L3-Pneuma-8B) + [ResplendentAI/NoWarning_Llama3](https://huggingface.co/ResplendentAI/NoWarning_Llama3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-medic
  - model: akjindal53244/Llama-3.1-Storm-8B+kloodia/lora-8b-physic
  - model: refuelai/Llama-3-Refueled+Blackroot/Llama-3-8B-Abomination-LORA
  - model: Replete-AI/L3-Pneuma-8B+ResplendentAI/NoWarning_Llama3 
  - model: Nekochu/Luminia-8B-RP+ResplendentAI/Smarts_Llama3
merge_method: model_stock
base_model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
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/DreadPoor__OrangeJ-8B-Model_Stock-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=DreadPoor%2FOrangeJ-8B-Model_Stock&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    30.09|
|IFEval (0-Shot)    |    78.41|
|BBH (3-Shot)       |    35.15|
|MATH Lvl 5 (4-Shot)|    16.84|
|GPQA (0-shot)      |     6.82|
|MuSR (0-shot)      |    10.35|
|MMLU-PRO (5-shot)  |    32.98|