February 23, 2026
TNSA is Open-Sourcing NGen-4-K2-1T-Thinking: A 1 Trillion Parameter Indic-First LLM
Unprecedented Scale, Open for All
TNSA is open-sourcing a 1 Trillion parameter LLM โ an Indic-first model at unprecedented scale, released under the Apache 2.0 License. NGen-4-K2-1T-Thinking represents a monumental leap in making advanced AI accessible to the world. With 1 trillion parameters, it is among the largest open-source language models ever released, and the first of its kind built with Indian languages as a core design priority.
Indic-First by Design ๐ฎ๐ณ
Unlike models that treat Indian languages as an afterthought, NGen-4-K2-1T-Thinking is designed from the ground up to push the boundaries of multilingual intelligence, reasoning, and accessibility across Indian languages. It supports Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Urdu, and many more โ ensuring that over a billion people can access state-of-the-art AI in their native tongue.
Advanced Reasoning with Thinking Capabilities
The โThinkingโ in the model's name reflects its architecture: NGen-4-K2-1T-Thinking incorporates chain-of-thought reasoning natively, allowing it to break down complex problems, reason step-by-step, and arrive at more accurate conclusions. This makes it exceptionally powerful for tasks ranging from mathematical problem-solving and scientific reasoning to code generation and creative writing โ all in multiple languages.
Apache 2.0: Truly Open
By releasing under the Apache 2.0 License, TNSA is ensuring that NGen-4-K2-1T-Thinking can be used, modified, and distributed freely โ for both commercial and non-commercial purposes. We believe that the most transformative AI should be accessible to everyone, and this release reflects our commitment to democratizing intelligence at scale. Researchers, developers, and organizations worldwide can build upon this model to create solutions tailored to their unique needs.
What's Next
More details on model weights, benchmarks, training methodology, and fine-tuning guides will be released soon. We are preparing comprehensive documentation and evaluation results across multilingual benchmarks, reasoning tasks, and real-world applications. Stay tuned for the full release โ this is just the beginning of making world-class AI truly accessible to all of India and beyond.
From the Community
Biggest achievement than @SarvamAI in India, congrats @Thishyaketh and @tnsaai team https://t.co/1QlHHf4VJS
โ Arun Teja (@arunteja_s) February 23, 2026