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llama3-pre1-pre2-lora3-mergkit-base22
4yo1/llama3-pre1-pre2-lora3-mergkit-base22
llama3-pre1-pre2-lora3-mergkit-base22 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: 4yo1/llama3-pre1-pre2-lora3-mergkit-base2 with Fine-Tuning Model Overview Model Name: 4yo1/llama3-pre1-pre2-lora3-mergkit-base2
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At a glance
- Task
- Translation
- Library
- transformers
- License
- mit
- Model type
- llama
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 12, 2024
- SHA
- 0b967ce6
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Datasets
Model card
From the Hugging Face model README
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Model Details
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
- Task
- Translation
- Library
- transformers
- Type
- llama
- License
- mit
- Languages
- en, ko
- Created
- Aug 7, 2024
- Updated
- Aug 12, 2024