---
library_name: transformers
language:
- en
- ko
pipeline_tag: translation
tags:
- llama-3-ko
license: mit
datasets:
- 4yo1/llama3_enkor_testing_short
---

### Model Card for Model ID
### Model Details

Model Card: LLaMA3-ENG-KO-8B with Fine-Tuning
Model Overview
Model Name: LLaMA3-ENG-KO-8B

Model Type: Transformer-based Language Model

Model Size: 8 billion parameters

by: 4yo1

Languages: English and Korean

### Model Description
LLaMA3-ENG-KO-8B is a language model pre-trained on a diverse corpus of English and Korean texts.
This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.

### how to use - sample code

```python
from transformers import AutoConfig, AutoModel, AutoTokenizer

config = AutoConfig.from_pretrained("4yo1/llama3-eng-ko-8b")
model = AutoModel.from_pretrained("4yo1/llama3-eng-ko-8b")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-eng-ko-8b")
```
datasets:
- 4yo1/llama3_enkor_testing_short
  
license: mit