Quantization made by Richard Erkhov.

typhoon-7b - GGUF

Model creator: https://huggingface.co/scb10x/
Original model: https://huggingface.co/scb10x/typhoon-7b/

Name	Quant method	Size
typhoon-7b.Q2_K.gguf	Q2_K	2.55GB
typhoon-7b.IQ3_XS.gguf	IQ3_XS	2.83GB
typhoon-7b.IQ3_S.gguf	IQ3_S	2.98GB
typhoon-7b.Q3_K_S.gguf	Q3_K_S	2.96GB
typhoon-7b.IQ3_M.gguf	IQ3_M	3.07GB
typhoon-7b.Q3_K.gguf	Q3_K	3.29GB
typhoon-7b.Q3_K_M.gguf	Q3_K_M	3.29GB
typhoon-7b.Q3_K_L.gguf	Q3_K_L	3.57GB
typhoon-7b.IQ4_XS.gguf	IQ4_XS	3.69GB
typhoon-7b.Q4_0.gguf	Q4_0	3.84GB
typhoon-7b.IQ4_NL.gguf	IQ4_NL	3.89GB
typhoon-7b.Q4_K_S.gguf	Q4_K_S	3.87GB
typhoon-7b.Q4_K.gguf	Q4_K	4.09GB
typhoon-7b.Q4_K_M.gguf	Q4_K_M	4.09GB
typhoon-7b.Q4_1.gguf	Q4_1	4.26GB
typhoon-7b.Q5_0.gguf	Q5_0	4.67GB
typhoon-7b.Q5_K_S.gguf	Q5_K_S	4.67GB
typhoon-7b.Q5_K.gguf	Q5_K	4.8GB
typhoon-7b.Q5_K_M.gguf	Q5_K_M	4.8GB
typhoon-7b.Q5_1.gguf	Q5_1	5.09GB
typhoon-7b.Q6_K.gguf	Q6_K	5.55GB

Original model description:

license: apache-2.0 language: - th library_name: transformers pipeline_tag: text-generation tags: - pretrained

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/CqyBscMFpg

SCB10X 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}
}

Contact Us

General & Collaboration: kasima@scb10x.com, pathomporn@scb10x.com
Technical: kunat@scb10x.com

RichardErkhov
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scb10x_-_typhoon-7b-gguf