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README.md
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KONI refers to large language models (LLMs) and LLM-based technologies developed by the Large-scale AI Research Center at KISTI (Korea Institute of Science and Technology Information), with a focus on developing and sharing Korean language models, datasets, and AI for Science technologies.
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Our contributions include various language models and datasets designed to advance Korean natural language processing (NLP) techniques and to utilize science and technology information.
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By providing these resources, KONI aims to help researchers and developers create AI-based applications that effectively understand, analyze, and generate Korean scientific texts, thereby contributing to the realization of the vision of AI for Science.
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### NEWS
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- [2025.08.31] The reasoning model KONI-R 7B,8B models released, collaborated with OnelineAI, HAERAE, and Oracle.
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- [2025.08.22] KONI 4B base model released, better overall performance than KONI-Llama3.1-8b-Instruct at half the size.
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- [2025.05.20] "ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts" is now publicly available.
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- [2025.03.20] (Preview) KONI-Llama3.1-8B-R model released (specialized for reasoning tasks).
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KONI refers to large language models (LLMs) and LLM-based technologies developed by the Large-scale AI Research Center at KISTI (Korea Institute of Science and Technology Information), with a focus on developing and sharing Korean language models, datasets, and AI for Science technologies.
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Our contributions include various language models and datasets designed to advance Korean natural language processing (NLP) techniques and to utilize science and technology information.
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By providing these resources, KONI aims to help researchers and developers create AI-based applications that effectively understand, analyze, and generate Korean scientific texts, thereby contributing to the realization of the vision of AI for Science.
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We are also maintaining our GitHub page: https://github.com/KISTI-KONI
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### NEWS
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- [2025.08.31] The reasoning model KONI-R 7B,8B models released, collaborated with OnelineAI, HAERAE, and Oracle.
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- [2025.08.29] We are excited to introduce DOREA (Document Oriented Reasoning and Explanation Assistant)!
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DOREA is an AI assistant currently under development with the goal of intelligently understanding and answering questions about PDF documents.
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It is designed to recognize and process text, images, and tables within documents, enabling interactive services such as translation, summarization, and analysis powered by LLMs.
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In addition, through its Retrieval-Augmented Generation (RAG) capabilities, DOREA will provide efficient search and question-answering over your own documents, making document-centric workflows more productive and seamless. https://lnkd.in/gzFpjUhB
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- [2025.08.22] We’re also releasing SpectraBench, a benchmark suite that lets you evaluate across 25+ LLM benchmarks all at once, with an intelligent scheduling facility https://lnkd.in/g7eBEKkU
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- [2025.08.22] We’re open-sourcing the MCP Server code that connects to KISTI’s public services, ScienceON and NTIS, to help turn that data into AI-powered agents. https://lnkd.in/g8Y9DP_a
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- [2025.08.22] KONI 4B base model released, better overall performance than KONI-Llama3.1-8b-Instruct at half the size.
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- [2025.05.20] "ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts" is now publicly available.
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- [2025.03.20] (Preview) KONI-Llama3.1-8B-R model released (specialized for reasoning tasks).
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