SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge
  AI and Low-Resource Environments
Authors: name: Syed Abdul Gaffar Shakhadri, name: Kruthika KR, name: Rakshit Aralimatti

We introduce Shakti, a 2.5 billion parameter language model specifically
optimized for resource-constrained environments such as edge devices, including
smartphones, wearables, and IoT systems. Shakti combines high-performance NLP
with optimized efficiency and precision, making it ideal for real-time AI
applications where computational resources and memory are limited. With support
for vernacular languages and domain-specific tasks, Shakti excels in industries
such as healthcare, finance, and customer service. Benchmark evaluations
demonstrate that Shakti performs competitively against larger models while
maintaining low latency and on-device efficiency, positioning it as a leading
solution for edge AI.