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

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arxiv 2412.13702 v2 pith:4FALN3SA submitted 2024-12-18 cs.CL cs.AI

Kunat Pipatanakul , Potsawee Manakul , Natapong Nitarach , Warit Sirichotedumrong , Surapon Nonesung , Teetouch Jaknamon , Parinthapat Pengpun , Pittawat Taveekitworachai
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Adisai Na-Thalang Sittipong Sripaisarnmongkol Krisanapong Jirayoot Kasima Tharnpipitchai
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classification cs.CLcs.AI
keywords textmodelsthailanguageaudiobasecapabilitiesintroduces
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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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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models

    cs.CL 2026-04 conditional novelty 6.0 of 10

    Synthetic data for low-resource spoken language models creates a Stability-Expressivity Gap that DGSA and TDSC self-alignment close, enabling SOTA Thai TTS and first Lao zero-shot voice cloning.

  2. XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation

    eess.AS 2025-08 conditional novelty 6.0 of 10

    XEmoRAG synthesizes Thai speech with emotions cloned from Chinese reference audio by retrieving matching Thai prompts and aligning prosody with flow matching, outperforming baseline TTS in emotion similarity and intel...

  3. Mangosteen: An Open Thai Corpus for Language Model Pretraining

    cs.CL 2025-07 conditional novelty 6.0 of 10

    An open 47B-token Thai pre-training corpus and a Thai-adapted data cleaning pipeline, with ablations showing quality gains and an 8B model that improves on Thai benchmarks.

  4. Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR

    cs.SD 2025-05 conditional novelty 6.0 of 10

    EThai-ASR combines a self-refined Zipformer encoder with a Thai LLM and reports SOTA CER on Thai test sets plus a cosine-similarity frame pruning that gives 1.5-2.1x speedups in some modes.

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