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metadata
library_name: transformers
language:
  - en
  - ko
pipeline_tag: translation
tags:
  - llama-3-ko
license: mit
datasets:
  - recipes

Model Card for Model ID

Model Details

Model Card: llama3-pre1-pre2-ds-lora3 with Fine-Tuning Model Overview Model Name: llama3-pre1-pre2-ds-lora3

Model Type: Transformer-based Language Model

Model Size: 8 billion parameters

by: 4yo1

Languages: English and Korean

Model Description

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

datasets:

  • recipes

license: mit