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.

The Instruct model (chat-model) will be released soon. The beta version register is open at https://opentyphoon.ai/ or follow us for future model release https://twitter.com/opentyphoon.

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.

https://twitter.com/opentyphoon

Support / Ask any question

https://discord.gg/us5gAYmrxw

SCB 10X AI Team

Kunat Pipatanakul, Phatrasek Jirabovonvisut, Potsawee Manakul, Sittipong Sripaisarnmongkol, Ruangsak Patomwong, Pathomporn Chokchainant, Kasima Tharnpipitchai
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}
}