India Loves Llama, But Flirts with Mistral and Qwen

Sarvam said it chose Mistral Small because it could be substantially improved for Indic languages, making it a strong foundation for a hybrid reasoning model that supports India’s linguistic diversity.
Image by Diksha Mishra
Mistral is back in the game. The French AI startup is rolling out new models one after another, winning over developers globally. However, it faces stiff competition from Alibaba’s Qwen, Meta’s Llama, and DeepSeek R1. Indian AI startup Sarvam AI recently launched Sarvam-M, a 24-billion parameter hybrid language model built on top of Mistral Small. However, some, like Menlo Ventures’ Deddy Das, raised doubts about the need for Indic LLMs unless they are clearly world-class. But this doesn’t take attention away from Mistral. In a blog post, Sarvam AI shared that it applied SFT and RLVR techniques to fine-tune Mistral Small, which was released under the Apache 2.0 license. The result was Sarvam-M, where “M” stands for Mistral. The model shows strong gains, with a 20% average
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Siddharth Jindal
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.
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