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Yi-Ko-6B-Instruct-v1.0
wkshin89/Yi-Ko-6B-Instruct-v1.0
Yi-Ko-6B-Instruct-v1.0 is a text generation model from wkshin89. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
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Public
Parameters
6.2B
12.4 GB on disk
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Repo makeup
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- llama
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- 21d1f298
Base models
Model card
From the Hugging Face model README
Yi-Ko-6B-Instruct-v1.0
Model Details
Base Model
Training Dataset
- kyujinpy/KOR-OpenOrca-Platypus-v3 🙇
- beomi/KoAlpaca-v1.1a 🙇
- maywell/ko_wikidata_QA 🙇
- AIHub MRC 데이터 선별 후 Instruction Format 맞게 변경 후 사용
Benchmark Results
AI-Harness Evaluation
https://github.com/Beomi/ko-lm-evaluation-harness
| Model | kobest_boolq | kobest_copa | kobest_hellaswag | kobest_sentineg | korunsmile | pawsx_ko |
|---|---|---|---|---|---|---|
| Zero-shot | ||||||
| Yi-Ko-6B-Instruct-v1.0 | 0.6619 | 0.7794 | 0.4858 | 0.4589 | 0.3520 | 0.5545 |
| Yi-Ko-6B | 0.7070 | 0.7696 | 0.5009 | 0.4044 | 0.3828 | 0.5145 |
Instruction Format
### User:
{instruction}
### Assistant:
{response}
Loading the Model
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("wkshin89/Yi-Ko-6B-Instruct-v1.0")
model = AutoModelForCausalLM.from_pretrained(
"wkshin89/Yi-Ko-6B-Instruct-v1.0",
device_map="auto",
torch_dtype=torch.bfloat16,
)
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- cc-by-nc-4.0
- Languages
- ko
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024