safetensors gemma 4-bit awq region:us
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---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


gemma-2b-translate - AWQ
- Model creator: https://huggingface.co/Minsu-Chae/
- Original model: https://huggingface.co/Minsu-Chae/gemma-2b-translate/




Original model description:
---
license: other
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
language:
- ko
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- gemma
---

It was trained on [korean dataset](https://aihub.or.kr/ "AI-hub").  
I trained the model to execute translation tasks between English and Korean languages.  
Other languages does not fine-tuning.

It was undertaken with the objective of learning understanding of the field of deep learning.  
Considering that it is not intended for professional translation or commercial use, the translated content must be utilized with human responsibility.

Prompt
1. Translate to korean.  
"<bos>To have be right grammar and sentence structure.\nUse words from field of expertise.\nTo have be done professionally and academically.\n<start_of_turn>Determine the language source of the text and translation to Korean.<pad>Text\n{0}.<end_of_turn><start_of_turn>model\n<pad>".format(text)

2. Translate to english.  
"<bos>To have be right grammar and sentence structure.\nUse words from field of expertise.\nTo have be done professionally and academically.\n<start_of_turn>Determine the language source of the text and translation to English.<pad>Text\n{0}.<end_of_turn><start_of_turn>model\n<pad>".format(text)


