README.md · 4yo1/llama3-pre1-pre2-ds-ins2-lora3 at main

metadata

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

Model Card for Model ID

Model Details

Model Card: sapie with Fine-Tuning Model Overview Model Name: 4yo1/llama3-pre1-pre2-ds-ins2-lora3

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/llama3-pre1-pre2-ds-ins2-lora3")
model = AutoModel.from_pretrained("4yo1/llama3-pre1-pre2-ds-ins2-lora3")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-pre1-pre2-ds-ins2-lora3")

datasets:

license: mit