Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models

Kunat Pipatanakul, Potsawee Manakul, Natapong Nitarach, Warit Sirichotedumrong, Surapon Nonesung +7 more
12/18/2024
cs.CLcs.AI

No official code found. Best implementation: scb-10x/typhoon2-audio (37 stars, Apache-2.0, last commit 2026-02-13).

Abstract

This paper introduces Typhoon 2, a series of text and multimodal large language models optimized for the Thai language. The series includes models for text, vision, and audio. Typhoon2-Text builds on state-of-the-art open models, such as Llama 3 and Qwen2, and we perform continual pre-training on a mixture of English and Thai data. We employ post-training techniques to enhance Thai language performance while preserving the base models' original capabilities. We release text models across a range of sizes, from 1 to 70 billion parameters, available in both base and instruction-tuned variants. To guardrail text generation, we release Typhoon2-Safety, a classifier enhanced for Thai cultures and language. Typhoon2-Vision improves Thai document understanding while retaining general visual capabilities, such as image captioning. Typhoon2-Audio introduces an end-to-end speech-to-speech model architecture capable of processing audio, speech, and text inputs and generating both text and speech outputs.

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Code Implementations(1)

Apache-2.0

The repository of Typhoon2-Audio, Thai audio-language model that supports speech-in and speech-out

373PythonDec 6, 20248 months agoApache-2.0

Cite this paper

@article{pipatanakul2024typhoon,
  title  = {Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models},
  author = {Kunat Pipatanakul and Potsawee Manakul and Natapong Nitarach and Warit Sirichotedumrong and Surapon Nonesung and Teetouch Jaknamon and Parinthapat Pengpun and Pittawat Taveekitworachai and Adisai Na-Thalang and Sittipong Sripaisarnmongkol and Krisanapong Jirayoot and Kasima Tharnpipitchai},
  year   = {2024},
  eprint = {2412.13702},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.13702v2}
}

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