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4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base
llama3-pre1-pre2-inst3-lora3-mergkit-base is a translation model from 4yo1. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as mit.
Model Card: sapie with Fine-Tuning Model Overview Model Name: 4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base
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From the Hugging Face model README
Model Card: sapie with Fine-Tuning Model Overview Model Name: 4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base
Model Type: Transformer-based Language Model
Model Size: 8 billion parameters
by: 4yo1
Languages: English and Korean
from transformers import AutoConfig, AutoModel, AutoTokenizer
config = AutoConfig.from_pretrained("4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base")
model = AutoModel.from_pretrained("4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base")
datasets:
license: mit