jingyeom/SOLAR_KO_1.3_deup

Model

base_model : beomi/OPEN-SOLAR-KO-10.7B

Dataset

• —공개 데이터 수집
• —Deduplicating Training Data Makes Language Models Better 알고리즘 활용

Code

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "jingyeom/SOLAR_KO_1.3_deup"
model = AutoModelForCausalLM.from_pretrained(
        model_name,
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

Benchmark

[Ko-LLM-Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard) (24.01.29 기준 리더보드 11등) | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 | | ------: | -----: | -----------: | ------: | ------------: | --------------: | | 53.63 | 52.65 | 60.92 | 50.9 | 45.14 | 58.56 |