kyujinpy_-_Korean-OpenOrca-v3-gguf

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Korean-OpenOrca-v3 - GGUF

• Model creator: https://huggingface.co/kyujinpy/
• Original model: https://huggingface.co/kyujinpy/Korean-OpenOrca-v3/

Original model description:

language:

• ko datasets:
• kyujinpy/OpenOrca-ko-v3 library_name: transformers pipeline_tag: text-generation license: cc-by-nc-sa-4.0

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(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다
The license is cc-by-nc-sa-4.0.

🐳Korean-OpenOrca-13B-v2🐳

Model Details

Model Developers Kyujin Han (kyujinpy)

Model Architecture
Korean-OpenOrca-13B is an auto-regressive language model based on the LLaMA2 transformer architecture.

Repo Link
Github Korean-OpenOrca: 🐳Korean-OpenOrca🐳

Base Model hyunseoki/ko-en-llama2-13b

Training Dataset
I use OpenOrca-ko-v3.
Using DeepL, translate about OpenOrca.

I use A100 GPU 40GB and COLAB, when trianing.

Model comparisons

Implementation Code

### KO-Platypus
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "kyujinpy/Korean-OpenOrca-13B-v3"
OpenOrca = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)

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