According to the indigenous AI development announcement by Sarvam AI, what are the two parameter sizes of the Vikram Large Language Models introduced at the AI Impact Summit?

Sarvam AI introduced two indigenous Large Language Models (LLMs) named Vikram at the AI Impact Summit. The models were launched in two parameter configurations: a 35-billion parameter model and a 105-billion parameter model. Model parameters represent the internal variables used by machine learning systems to process language and generate responses. Larger parameter sizes typically enable models to capture more complex patterns in data and produce more accurate outputs. These models are intended to strengthen India’s presence in the global AI ecosystem and improve performance in Indian language processing.