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DataVortexS-10.7B-v0.4
Edentns/DataVortexS-10.7B-v0.4
DataVortexS-10.7B-v0.4 is a text generation model from Edentns. 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-sa-4.0.
<img src="./DataVortex.png" alt="DataVortex" style="height: 8em;"
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21.7 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- llama
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Feb 24, 2024
- SHA
- e40181ae
Base models
Datasets
Model card
From the Hugging Face model README
DataVortexS-10.7B-v0.4
<img src="./DataVortex.png" alt="DataVortex" style="height: 8em;">Our Team
| Research & Engineering | Product Management |
|---|---|
| Kwangseok Yang | Seunghyun Choi |
| Jeongwon Choi | Hyoseok Choi |
Model Details
Base Model
Trained On
- OS: Ubuntu 20.04
- GPU: H100 80GB 2ea
- transformers: v4.36.2
Dataset
- Edentns/data_go_kr-PublicDoc - private
- Edentns/aihub-TL_unanswerable_output - private
- Edentns/aihub-TL_span_extraction_how_output - private
- Edentns/aihub-TL_multiple_choice_output - private
- Edentns/aihub-TL_text_entailment_output - private
- jojo0217/korean_rlhf_dataset
- kyujinpy/KOR-OpenOrca-Platypus-v3
- beomi/KoAlpaca-v1.1a
- HumanF-MarkrAI/WIKI_QA_Near_dedup
Instruction format
It follows Alpaca format.
E.g.
text = """\
당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다.
### Instruction:
대한민국의 수도는 어디야?
### Response:
대한민국의 수도는 서울입니다.
### Instruction:
서울 인구는 총 몇 명이야?
"""
Model Benchmark
Ko LM Eval Harness
| Task | 0-shot | 5-shot | 10-shot | 50-shot |
|---|---|---|---|---|
| kobest_boolq | 0.389066 | 0.912924 | 0.912808 | 0.906428 |
| kobest_copa | 0.744865 | 0.747742 | 0.768856 | 0.785896 |
| kobest_hellaswag | 0.455793 | 0.443909 | 0.465783 | 0.472771 |
| kobest_sentineg | 0.584156 | 0.947082 | 0.962216 | 0.954657 |
| Average | 0.54347 | 0.76291425 | 0.77741575 | 0.779938 |
Ko-LLM-Leaderboard
| Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
|---|---|---|---|---|---|
| 54.15 | 49.4 | 59.7 | 54.63 | 47.5 | 59.5 |
Implementation Code
This model contains the chat_template instruction format.
You can use the code below.
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexS-10.7B-v0.4")
tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexS-10.7B-v0.4")
messages = [
{"role": "system", "content": "당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다."},
{"role": "user", "content": "대한민국의 수도는 어디야?"},
{"role": "assistant", "content": "대한민국의 수도는 서울입니다."},
{"role": "user", "content": "서울 인구는 총 몇 명이야?"}
]
encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
model_inputs = encodeds.to(device)
model.to(device)
generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])
License
The model is licensed under the cc-by-nc-sa-4.0 license, which allows others to copy, modify, and share the work non-commercially, as long as they give appropriate credit and distribute any derivative works under the same license.
<div align="center"> <a href="https://edentns.com/"> <img src="./Logo.png" alt="Logo" style="height: 3em;"> </a> </div>- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- cc-by-nc-sa-4.0
- Languages
- ko
- Created
- Jan 11, 2024
- Updated
- Feb 24, 2024