Institute of Smart Systems and Artificial Intelligence (ISSAI) announces the launch of Qolda, a new open-source, compact language-vision model designed to make advanced intelligence truly accessible to everyone.
Today, state-of-the-art generative AI models such as DeepSeek, KazLLM, and Oylan typically require supercomputing-scale infrastructure, placing them out of reach for most users. Qolda changes that equation. With 4 billion parameters, Qolda delivers powerful multimodal reasoning while remaining lightweight enough to run on smaller, affordable devices such as laptop computers.
ISSAI Qolda is firmly committed to upholding safety and ethical standards. It promotes responsible use of technology, avoids offensive or inappropriate language, and refuse to respond to prompts that compromise security. This aligns with ISSAI’s mission to advance AI responsibly while protecting users and communities. On benchmark evaluations, Qolda, operating in reasoning mode with 4B parameters, demonstrates competitive performance matching the KazLLM-70B on Kazakh and Russian.
Qolda communicates fluently in Kazakh, Russian, and English, and handles both text and image inputs with remarkable efficiency. Whether you are a researcher, developer, student, or a small business owner, Qolda is built to support real-world tasks, empower new ideas, and inspire innovation.
ISSAI continues its commitment to open, accessible AI by making Qolda available to the global community. The model and deployment toolkit are now accessible on Hugging Face and GitHub:
- Hugging Face model page: huggingface.co/issai/Qolda
- GitHub deployment repo: github.com/IS2AI/Qolda-deployment
This project was developed within the Program-Targeted Funding project titled “Creating a Large Language Model (LLM) to Support the Kazakh Language and Technological Progress” in consortium with Al-Farabi Kazakh National University.
https://youtu.be/XpmvnXOnhlk to the ISSAI Qolda Promo.
You can watch the detailed feature demonstration of Qolda — showing all capabilities with practical examples — in this video.
A separate video provides a step-by-step guide on how to install Qolda on your personal laptop.