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Model Card: LLaMA3-ENG-KO-8B-SL2 with Fine-Tuning Model Overview Model Name: LLaMA3-ENG-KO-8B-SL2
Model Type: Transformer-based Language Model
Model Size: 8 billion parameters
by: 4yo1
Languages: English and Korean
Model Description
LLaMA3-ENG-KO-8B-SL2 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
from transformers import AutoConfig, AutoModel, AutoTokenizer
config = AutoConfig.from_pretrained("4yo1/llama3-eng-ko-80-sl2")
model = AutoModel.from_pretrained("4yo1/llama3-eng-ko-8b-sl2")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-eng-ko-8b-sl2")
datasets:
- 4yo1/llama3_test1
license: mit
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