Model	Average	Ko-ARC	Ko-HellaSwag	Ko-MMLU	Ko-TruthfulQA	Ko-CommonGen V2
[Korean-OpenOrca-13B🐳]	48.79	43.09	54.13	40.24	45.22	61.28
[Korean-OpenOrca-13B-v2🐳]	48.17	43.17	54.51	42.90	41.82	58.44
Korean-OpenOrca-13B-v3🐳	48.86	43.77	54.30	41.79	43.85	60.57

Implementation Code

python

### 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)

kyujinpy/Korean-OpenOrca-v3

🐳Korean-OpenOrca-13B-v2🐳

Model Details

Model comparisons

Implementation Code

kyujinpy/
Korean-OpenOrca-v3