The license is cc-by-nc-4.0
.
GAI-LLM/Yi-Ko-6B-dpo-v5
Model Details
Model Developers Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
Input Models input text only.
Output Models generate text only.
Model Architecture
Yi-Ko-6B-dpo-v5 is an auto-regressive language model based on the LLaMA2 transformer architecture.
Base Model beomi/Yi-Ko-6B
Training Dataset
- We combined Open Korean Dateset using mixed-strategy with DPO.
- We use A100 GPU 80GB * 8, when training.
Model Benchmark
KO-LLM leaderboard
- Follow up as Open KO-LLM LeaderBoard.
Implementation Code
### GAI-LLM/Yi-Ko-6B-dpo-v5
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "GAI-LLM/Yi-Ko-6B-dpo-v5"
model = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)
- Downloads last month
- 1,205