Quantization made by Richard Erkhov.
Model Card: LLaMA3-ENG-KO-8B-SL2 with Fine-Tuning
Model Overview
Model Name: LLaMA3-ENG-KO-8B-SL2
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.
1from transformers import AutoConfig, AutoModel, AutoTokenizer
2
3config = AutoConfig.from_pretrained("4yo1/llama3-eng-ko-80-sl2")
4model = AutoModel.from_pretrained("4yo1/llama3-eng-ko-8b-sl2")
5tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-eng-ko-8b-sl2")