开源泰国语推理模型，低成本实现复杂任务的思维链生成。
Typhoon T1: An Open Thai Reasoning Model
- 用公开数据微调替代强化学习，降低开发成本。
- 支持多领域泛化，能生成泰国语的完整推理链条。
- 适合低资源语言研究者和多语言推理模型开发者。
本文介绍 Typhoon T1，一个开源的泰国语推理模型项目。推理模型是在大语言模型基础上构建的新类型生成模型，通过生成长链思维过程来提升复杂任务表现。然而，针对低资源语言的推理模型开发细节仍不充分。Typhoon T1 提出一种更低成本的开发路径，采用监督微调结合公开数据集，而非强化学习。论文详细分享了合成数据生成方法、训练流程，并开源了数据集与模型权重。研究揭示了如何在低资源语言（以泰语为例）中构建跨领域泛化且能生成推理轨迹的推理模型，为该领域研究提供基础支持。
原文摘要 · Abstract (English)
This paper introduces Typhoon T1, an open effort to develop an open Thai reasoning model. A reasoning model is a relatively new type of generative model built on top of large language models (LLMs). A reasoning model generates a long chain of thought before arriving at a final answer, an approach found to improve performance on complex tasks. However, details on developing such a model are limited, especially for reasoning models that can generate traces in a low-resource language. Typhoon T1 presents an open effort that dives into the details of developing a reasoning model in a more cost-effective way by leveraging supervised fine-tuning using open datasets, instead of reinforcement learning. This paper shares the details about synthetic data generation and training, as well as our dataset and model weights. Additionally, we provide insights gained from developing a reasoning model that generalizes across domains and is capable of generating reasoning traces in a low-resource language, using Thai as an example. We hope this open effort provides a foundation for further research in this field.
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