sft-solar-10.7b-v1 / README.md
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---
language:
- en
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
datasets:
- nlpai-lab/databricks-dolly-15k-ko
- kyujinpy/KOR-OpenOrca-Platypus-v3
- KETI-AIR/kor_boolq
- heegyu/open-korean-instructions
---
**Input** Models input text only.
**Output** Models generate text only.
**Base Model** [beomi/Yi-Ko-6B](https://huggingface.co./beomi/Yi-Ko-6B)
**Training Dataset**
- [nlpai-lab/databricks-dolly-15k-ko](https://huggingface.co./datasets/nlpai-lab/databricks-dolly-15k-ko)
- [kyujinpy/KOR-OpenOrca-Platypus-v3](https://huggingface.co./datasets/kyujinpy/KOR-OpenOrca-Platypus-v3)
- [heegyu/open-korean-instructions](heegyu/open-korean-instructions)
- [KETI-AIR/kor_boolq](https://huggingface.co./datasets/KETI-AIR/kor_boolq)
- [AIhub μ˜ν•œ λ²ˆμ—­ 데이터 일뢀](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&dataSetSn=71593)
# Implementation Code
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "ifuseok/yi-ko-playtus-instruct-v0.2"
OpenOrca = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
```
# Prompt Example
```
### System:
μ‹œμŠ€ν…œ λ©”μ‹œμ§€ μž…λ‹ˆλ‹€.
### User:
μœ μ € μž…λ‹ˆλ‹€.
### Assistant
μ–΄μ‹œμŠ€ν„΄νŠΈ μž…λ‹ˆλ‹€.
```