---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- flammenai/Mahou-1.2-llama3-8B
- lemon07r/Llama-3-RedMagic2-8B
- lemon07r/Lllama-3-RedElixir-8B
- NousResearch/Meta-Llama-3-8B
- nbeerbower/llama-3-spicy-abliterated-stella-8B
model-index:
- name: Llama-3-RedMagic4-8B
  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: 48.64
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
      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: 19.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
      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: 8.31
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
      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=lemon07r/Llama-3-RedMagic4-8B
      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: 4.38
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
      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: 29.73
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
      name: Open LLM Leaderboard
---
# Llama-3-RedMagic4-8B

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 [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.

### Models Merged

The following models were included in the merge:
* [flammenai/Mahou-1.2-llama3-8B](https://huggingface.co/flammenai/Mahou-1.2-llama3-8B)
* [lemon07r/Llama-3-RedMagic2-8B](https://huggingface.co/lemon07r/Llama-3-RedMagic2-8B)
* [lemon07r/Lllama-3-RedElixir-8B](https://huggingface.co/lemon07r/Lllama-3-RedElixir-8B)
* [nbeerbower/llama-3-spicy-abliterated-stella-8B](https://huggingface.co/nbeerbower/llama-3-spicy-abliterated-stella-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 32]
    model: lemon07r/Llama-3-RedMagic2-8B
  - layer_range: [0, 32]
    model: lemon07r/Lllama-3-RedElixir-8B
  - layer_range: [0, 32]
    model: nbeerbower/llama-3-spicy-abliterated-stella-8B
  - layer_range: [0, 32]
    model: flammenai/Mahou-1.2-llama3-8B
  - layer_range: [0, 32]
    model: NousResearch/Meta-Llama-3-8B
```
# [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_lemon07r__Llama-3-RedMagic4-8B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.32|
|IFEval (0-Shot)    |48.64|
|BBH (3-Shot)       |19.48|
|MATH Lvl 5 (4-Shot)| 8.31|
|GPQA (0-shot)      | 5.37|
|MuSR (0-shot)      | 4.38|
|MMLU-PRO (5-shot)  |29.73|