开源泰国语大模型OpenJAI-v1.0，支持中泰双语任务优化。
OpenJAI-v1.0: An Open Thai Large Language Model
- 基于Qwen3-14B微调，聚焦指令遵循、长文本理解与工具使用场景。
- 在多项基准测试中优于现有开源泰语模型，未出现灾难性遗忘。
- 适合泰国NLP研究者及开发者使用，推动本地AI生态发展。
我们提出OpenJAI-v1.0，一个基于Qwen3-14B的开源多语言大模型，专为泰语和英语设计。通过在指令遵循、长上下文理解和工具使用三个关键应用场景上精心筛选数据，显著提升实际任务表现。评估结果表明，OpenJAI-v1.0在多个基准测试中超越其基础模型，并优于其他主流开源泰语模型，同时避免了灾难性遗忘问题。该模型已公开发布，为泰国人工智能社区提供新的自然语言处理资源。
原文摘要 · Abstract (English)
We introduce OpenJAI-v1.0, an open-source large language model for Thai and English, developed from the Qwen3-14B model. Our work focuses on boosting performance on practical tasks through carefully curated data across three key use cases: instruction following, long-context understanding, and tool use. Evaluation results show that OpenJAI-v1.0 improves on the capabilities of its base model and outperforms other leading open-source Thai models on a diverse suite of benchmarks, while avoiding catastrophic forgetting. OpenJAI-v1.0 is publicly released as another alternative NLP resource for the Thai AI community.
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