Sarvam 105B

Sarvam 105B is Sarvam AI’s large open Mixture-of-Experts model for Indian languages, agentic work, and demanding reasoning. The model card lists 105 billion total parameters and 10.3 billion active parameters. MLA and YaRN support its documented 128,000-token context. Sarvam emphasizes coding, mathematics, tool use, and work across 22 Indian languages. The weights are released under Apache 2.0.

Sarvam 30B is the smaller family partner aimed more directly at practical deployment. For Sarvam 105B, the card documents local inference but still calls for a source installation or hot patch with vLLM. Sarvam’s release post also documents API access and production use, even though only 10.3 billion of its 105 billion parameters are active.