The license is cc-by-nc-4.0
.
GAI-LLM/polyglot-12.8b-mixed-v3
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
GAI-LLM/polyglot-12.8b-mixed-v3 is an auto-regressive language model based on the polyglot transformer architecture.
Base Model EleutherAI/polyglot-ko-12.8b
Training Dataset
- We combined Open Korean Dateset using mixed-strategy.
- Kopen-platypus + kaist_cot_deepL
- We use A100 GPU 80GB * 8, when training.
Model Benchmark
KO-LLM leaderboard
- Follow up as Open KO-LLM LeaderBoard.
Implementation Code
### GAI-LLM/polyglot-12.8b-mixed-v3
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "GAI-LLM/polyglot-12.8b-mixed-v3"
model = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)