## Model
base_model : beomi/OPEN-SOLAR-KO-10.7B
## Dataset
* 공개 데이터 수집
* Deduplicating Training Data Makes Language Models Better 알고리즘 활용

## Code
```python
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 |
{"license": "apache-2.0"}
transformers safetensors llama text-generation license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us