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---
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