metadata
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
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