How many parameters does the indigenous foundation model EKA-1 carry?
- A.12.8 billion
- B.26.3 billion
- C.45.6 billion
- D.70.2 billion
Correct answer
Explanation
The correct answer is 26.3 billion. EKA-1, built by Soket Labs Technology and Research Private Limited, is a foundation model of 26.3 billion parameters trained on roughly 7.5 trillion tokens. It is described as an open, sparse hybrid language model and works across all 22 scheduled Indian languages besides English, with strengths in mathematics, code, reasoning and agentic use. Option A is wrong because no model in this release is of that size, and the figure for EKA-1 is clearly larger. Option C is wrong for the same reason; it is an invented value and does not match the model card given at the release. Option D is wrong as well, since nothing of that size was announced here; the two Dhir models from ZenteiQ are in fact much smaller and are named for their size, Dhir 2B and Dhir 5B. Remembering the pairing of the name with the parameter count is the safest way to answer such a question.
Read the full article: IndiaAI Mission Releases EKA-1 and Dhir Foundation Models
Practice Questions
Which organisation developed the open-source Dhir 2B and Dhir 5B models?
- A.Soket Labs Technology and Research
- B.Centre for Development of Advanced Computing
- C.ZenteiQ AiTech Innovations
- D.Bharat Electronics Limited
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ZenteiQ introduced the open-source Dhir 2B and Dhir 5B models, which can be deployed as secure, on-premise multilingual assistants supporting English and 10 Indian languages.
Read the full explanation →Under which pillar of the IndiaAI Mission were the developers of EKA-1 and Dhir selected?
- A.IndiaAI Compute Capacity
- B.IndiaAI Innovation Centre (Foundation Models)
- C.IndiaAI FutureSkills
- D.Safe and Trusted AI
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Soket Labs and ZenteiQ are among the teams picked under this pillar to build indigenous foundation capabilities and large language models, and the mission supported them with subsidised national AI compute together with help for allied research costs.
Read the full explanation →When did the Union Cabinet approve the IndiaAI Mission?
- A.7 March 2024
- B.1 February 2023
- C.15 August 2025
- D.7 March 2022
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The IndiaAI Mission was cleared by the Union Cabinet on that date, guided by the vision of making AI in India and making AI work for India, and it aims to address problems specific to the country, create economic and employment opportunities, and place India among the leaders in artificial…
Read the full explanation →Which of the following was named as a secondary resource for recovering critical minerals?
- A.Coal fly ash
- B.River sand
- C.Limestone dust
- D.Sea salt
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Addressing the symposium on critical minerals and rare earths, the NITI Aayog Member highlighted the scope for recovering critical minerals from secondary resources, naming coal fly ash, red mud, mine tailings and electronic waste.
Read the full explanation →The NITI Aayog-TEXMiN Joint Statement of Intent is aligned with the objectives of which mission?
- A.National Green Hydrogen Mission
- B.National Critical Mineral Mission
- C.National Quantum Mission
- D.Deep Ocean Mission
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The collaboration is stated to align with that mission's objectives and with the vision of an Aatmanirbhar and Viksit Bharat, as it seeks to advance indigenous technological capability and build resilient and sustainable value chains for critical minerals.
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