README.md

---
license: llama3.1
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Nexesenex/Llama_3.1_8b_Mediver_V1.01
- SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B
- Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
model-index:
- name: Llama_3.1_8b_Medusa_v1.01
  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: 76.85
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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: 30.03
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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: 14.65
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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: 5.59
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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: 9.03
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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: 28.13
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Medusa_v1.01
      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 [SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B](https://huggingface.co./SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B) as a base.

### Models Merged

The following models were included in the merge:
* [Nexesenex/Llama_3.1_8b_Mediver_V1.01](https://huggingface.co./Nexesenex/Llama_3.1_8b_Mediver_V1.01)
* [Nexesenex/Llama_3.1_8b_Smarteaz_V1.01](https://huggingface.co./Nexesenex/Llama_3.1_8b_Smarteaz_V1.01)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: model_stock
models:
  - model: Nexesenex/Llama_3.1_8b_Mediver_V1.01
    parameters:
      weight: 1.0
  - model: Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
    parameters:
      weight: 1.0
base_model: SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B
dtype: bfloat16
normalize: true
chat_template: auto
tokenizer:
  source: union
```
# [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/Nexesenex__Llama_3.1_8b_Medusa_v1.01-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.38|
|IFEval (0-Shot)    |76.85|
|BBH (3-Shot)       |30.03|
|MATH Lvl 5 (4-Shot)|14.65|
|GPQA (0-shot)      | 5.59|
|MuSR (0-shot)      | 9.03|
|MMLU-PRO (5-shot)  |28.13|