Typhoon-7B: Thai Large Language Model (Pretrained)
Typhoon-7B is a pretrained Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Mistral-7B.
Typhoon-7B outperforms all open-source Thai language models at the time of writing as evaluated on Thai examination benchmarks, and its instruction-tuned variant achieves the best results in instruction-following tasks. Also, its performance in Thai is on par with GPT-3.5 while being 2.62 times more efficient in tokenizing Thai text.
This is not an instruction-tuned model - It may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model does not have any moderation mechanisms, and may generate harmful or inappropriate responses.
For full details of this model, please read our paper.
Model Description
Model type: A 7B pretrained decoder-only model
Requirement: transformers 4.34.0 or newer.
Primary Language(s): Thai 🇹🇭 and English 🇬🇧
License: Apache-2.0 (Commercial)
Performance on Thai Benchmark
Model
ONET
IC
TGAT
TPAT-1
A-Level
Typhoon-7B
0.379
0.393
0.700
0.414
0.324
SeaLLM-7B
0.342
0.256
0.589
0.336
0.305
OpenThaiGPT-beta-7B
0.180
0.278
0.411
0.319
0.243
WangChanGLM
0.192
0.271
0.167
0.172
0.175
SEA-LION-7B
0.179
0.290
0.244
0.198
0.175
Avg. Human
0.318
-
0.472
0.406
-
Intended Uses & Limitations
This model is a pretrained base model. Thus, it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model does not have any moderation mechanisms, and may generate harmful or inappropriate responses.
If you find Typhoon-7B useful for your work, please cite it using:
@article{pipatanakul2023typhoon,
title={Typhoon: Thai Large Language Models},
author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai},
year={2023},
journal={arXiv preprint arXiv:2312.13951},
url={https://arxiv.org/abs/2312.13951}
}
