---
base_model:
- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
- beomi/Llama-3-KoEn-8B-Instruct-preview
- asiansoul/Llama-3-Open-Ko-Linear-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B-Instruct
- ajibawa-2023/Code-Llama-3-8B
- defog/llama-3-sqlcoder-8b
- NousResearch/Hermes-2-Pro-Llama-3-8B
- Locutusque/llama-3-neural-chat-v2.2-8B
- asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1
library_name: transformers
tags:
- mergekit
- merge

---
# Joah-Llama-3-KoEn-8B-Coder-v2

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) 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:
* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1)
* [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
* [asiansoul/Llama-3-Open-Ko-Linear-8B](https://huggingface.co/asiansoul/Llama-3-Open-Ko-Linear-8B)
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [ajibawa-2023/Code-Llama-3-8B](https://huggingface.co/ajibawa-2023/Code-Llama-3-8B)
* [defog/llama-3-sqlcoder-8b](https://huggingface.co/defog/llama-3-sqlcoder-8b)
* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
* [Locutusque/llama-3-neural-chat-v2.2-8B](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8B)
* [asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1](https://huggingface.co/asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NousResearch/Meta-Llama-3-8B
    # Base model providing a general foundation without specific parameters

  - model: NousResearch/Meta-Llama-3-8B-Instruct
    parameters:
      density: 0.60  
      weight: 0.25  
  
  - model: beomi/Llama-3-KoEn-8B-Instruct-preview
    parameters:
      density: 0.55  
      weight: 0.15  
  
  - model: asiansoul/Llama-3-Open-Ko-Linear-8B
    parameters:
      density: 0.55  
      weight: 0.1  

  - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
    parameters:
      density: 0.55  
      weight: 0.1 

  - model: asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1
    parameters:
      density: 0.55  
      weight: 0.2
      
  - model: ajibawa-2023/Code-Llama-3-8B
    parameters:
      density: 0.55  
      weight: 0.05  

  - model: defog/llama-3-sqlcoder-8b
    parameters:
      density: 0.55  
      weight: 0.1  

  - model: Locutusque/llama-3-neural-chat-v2.2-8B
    parameters:
      density: 0.55  
      weight: 0.1 

  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 0.55  
      weight: 0.05 

merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
  int8_mask: true
dtype: bfloat16


```