---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Weyaxi/Einstein-v6.1-Llama3-8B
- flammenai/Mahou-1.3-llama3-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
model-index:
- name: llama3-8B-V2
  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: 41.23
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      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: 30.87
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      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: 7.1
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      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: 5.37
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      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: 9.18
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      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: 30.42
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Naveenpoliasetty/llama3-8B-V2
      name: Open LLM Leaderboard
---
# merged_model

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:
* [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)
* [flammenai/Mahou-1.3-llama3-8B](https://huggingface.co/flammenai/Mahou-1.3-llama3-8B)
* [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: flammenai/Mahou-1.3-llama3-8B
    parameters:
      weight: 1.0
  - model: Danielbrdz/Barcenas-Llama3-8b-ORPO
    parameters:
      weight: 1.0
  - model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      weight: 1.0
merge_method: linear
tokenizer_source: union
dtype: float16
```

# [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_Naveenpoliasetty__llama3-8B-V2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |20.69|
|IFEval (0-Shot)    |41.23|
|BBH (3-Shot)       |30.87|
|MATH Lvl 5 (4-Shot)| 7.10|
|GPQA (0-shot)      | 5.37|
|MuSR (0-shot)      | 9.18|
|MMLU-PRO (5-shot)  |30.42|