sarvam-m is a multilingual, hybrid-reasoning, text-only language model built on Mistral-Small. This post-trained version delivers exceptional improvements over the base model: +20% average improvement on Indian language benchmarks +21.6% enhancement on math benchmarks +17.6% boost on programming benchmarks Performance gains are even more impressive at the intersection of Indian languages and mathematics, with an outstanding +86% improvement in romanized Indian language GSM-8K benchmarks. Learn more about sarvam-m in our detailed blog - https://www.sarvam.ai/blogs/sarvam-m Hybrid Thinking Mode: A single versatile model supporting both "think" and "non-think" modes. Use the think mode for complex logical reasoning, mathematical problems, and coding tasks, or switch to non-think mode for efficient, general-purpose conversation. Advanced Indic Skills: Specifically post-trained on Indian languages alongside English, embodying a character that authentically reflects and emphasizes Indian cultural values. Superior Reasoning Capabilities: Outperforms most similarly-sized models on coding and math benchmarks, demonstrating exceptional reasoning abilities. Seamless Chatting Experience: Full support for both Indic scripts and romanized versions of Indian languages, providing a smooth and accessible multilingual conversation experience.Key Features
Apache 2.0
sarvamai
Transformers
PyTorch
Open
Sector Agnostic
20/08/25 05:45:38
0
Apache 2.0
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