From the source
Both are reasoning models trained from scratch on large-scale, high-quality datasets curated in-house across every stage of training: pre-training, supervised fine-tuning, and reinforcement learning.
Training was conducted entirely in India on compute provided under the IndiaAI mission.
These models represent a true full-stack effort.
Beyond datasets, we optimized tokenization, model architecture, execution kernels, scheduling, and inference systems to make deployment efficient across a wide range of hardware, from flagship GPUs to personal devices like laptops.
Both models are already in production.
Sarvam 30B powers Samvaad , our conversational agent platform.
Sarvam 105B powers Indus , our AI assistant built for complex reasoning and agentic workflows.
The Sarvam models are globally competitive for their class.
Sarvam 105B performs well on reasoning, programming, and agentic tasks across a wide range of benchmarks.
Sarvam 30B is optimized for real-time deployment, with strong performance on real-world conversational use cases.
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