---
library_name: transformers
language:
- en
- ko
pipeline_tag: translation
license: mit
datasets:
- pre
---

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

Model Card: 4yo1/llama3-pre1-pre2-lora3-mergkit-base2 with Fine-Tuning
Model Overview
Model Name: 4yo1/llama3-pre1-pre2-lora3-mergkit-base2

Model Type: Transformer-based Language Model

Model Size: 8 billion parameters

by: 4yo1

Languages: English and Korean


### how to use - sample code

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

config = AutoConfig.from_pretrained("4yo1/4yo1/llama3-pre1-pre2-lora3-mergkit-base2")
model = AutoModel.from_pretrained("4yo1/llama3-pre1-pre2-lora3-mergkit-base2")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-pre1-pre2-lora3-mergkit-base2")
```
datasets:
- 140kgpt
  
license: mit