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Is Sarvam 2B Good Enough for Indian AI Developers?

One good thing is that this will mark the end of ‘Indic Llama Garbaggio’.
Is Sarvam 2B Good Enough for Indian AI Developers?
Image by Raghavendra Rao
Sarvam AI, or what we call the OpenAI of India, is probably one of the most celebrated startups by Indian developers. Its focus on Indian languages and open source philosophy has been the cornerstone for AI development in India.  Recently, at Sarvam’s recent launch event, the company announced Sarvam 2B, its open source foundational model trained on 4 trillion tokens of data with 50% of it in 10 Indic languages.  According to co-founder Vivek Raghavan, Sarvam 2B is among other small language models in the market, such as Microsoft’s Phi-3, Meta’s Llama 3, and Google’s Gemma Models, which were all decent enough for Indic AI development.  But is Sarvam 2B really good enough for Indic AI developers? First, to clear the air, the model uses a slightly modified
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Picture of Mohit Pandey
Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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