Kanana 1.5 2.1b Base

🚀 Kanana 1.5 - 2.1B Base

Kanana 1.5 is a newly introduced version of the Kanana model family. It offers significant improvements in coding, mathematics, and function calling capabilities compared to the previous version, enabling broader application to more complex real - world problems. This new version can natively handle up to 32K tokens and up to 128K tokens using YaRN, allowing the model to maintain coherence when dealing with extensive documents or engaging in extended conversations. Additionally, through a refined post - training process, Kanana 1.5 delivers more natural and accurate conversations.

✨ 1.5 HF Models   |   📝 1.5 Blog   |   📖 Technical Report

📢 News

• 📰2025/05/23: Published a blog post about Kanana 1.5 models and released ✨HF model weights.
• 📖2025/02/27: Released Technical Report and ✨HF model weights.
• 📝2025/01/10: Published a blog post about the development of Kanana Nano model.
• 📝2024/11/14: Published blog posts (pre - training, post - training) about the development of Kanana models.
• 🎥2024/11/06: Published a presentation video about the development of the Kanana models.

📑 Table of Contents

• Kanana 1.5
  • Performance
    • Base Model Evaluation
    • Instruct Model Evaluation
• Contributors
• Citation
• Contact

✨ Features

Kanana 1.5 offers the following key features:

• Enhanced Capabilities: Substantial improvements in coding, mathematics, and function calling.
• Token Handling: Natively handles up to 32K tokens and up to 128K tokens using YaRN.
• Natural Conversations: More natural and accurate conversations through refined post - training.

⚠️ Important Note

Neither the pre - training nor the post - training data includes Kakao user data.

📊 Performance

🔍 Base Model Evaluation

🔍 Instruct Model Evaluation

⚠️ Important Note

* Models released under Apache 2.0 are trained on the latest versions compared to other models.

👥 Contributors

• Language Model Training: Yunju Bak, Doohae Jung, Boseop Kim, Nayeon Kim, Hojin Lee, Jaesun Park, Minho Ryu
• Language Model Alignment: Jiyeon Ham, Seungjae Jung, Hyunho Kim, Hyunwoong Ko, Changmin Lee, Daniel Wontae Nam
• AI Engineering: Youmin Kim, Hyeongju Kim

📚 Citation

@misc{kananallmteam2025kananacomputeefficientbilinguallanguage,
      title={Kanana: Compute-efficient Bilingual Language Models}, 
      author={Kanana LLM Team and Yunju Bak and Hojin Lee and Minho Ryu and Jiyeon Ham and Seungjae Jung and Daniel Wontae Nam and Taegyeong Eo and Donghun Lee and Doohae Jung and Boseop Kim and Nayeon Kim and Jaesun Park and Hyunho Kim and Hyunwoong Ko and Changmin Lee and Kyoung-Woon On and Seulye Baeg and Junrae Cho and Sunghee Jung and Jieun Kang and EungGyun Kim and Eunhwa Kim and Byeongil Ko and Daniel Lee and Minchul Lee and Miok Lee and Shinbok Lee and Gaeun Seo},
      year={2025},
      eprint={2502.18934},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.18934}, 
}

📞 Contact

• Kanana LLM Team Technical Support: kanana - llm@kakaocorp.com
• Business & Partnership Contact: alpha.k@kakaocorp.com

📄 License

This project is licensed under the Apache 2.0 license.