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4yo1
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llama3-pre1-pre2-lora3-mergkit-base22

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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

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