BharatGPT-3B-Indic, CoRover.ai’s advanced Indic-focused LLM, has achieved over 2,000 downloads on Hugging Face within just a few days of its launch. This adoption underscores the growing global interest among developers, researchers, and businesses in utilising BharatGPT-3B-Indic for conversational AI and building AI for Bharat.
According to the company, the model sets new standards in inference optimisation and deep learning accuracy, offering scalable, domain-specific solutions tailored for Indic languages like Hindi, Punjabi, Marathi, and Tamil. BharatGPT-3B-Indic is lightweight, offline-ready with GGUF quantization, and optimised for edge devices, enabling deployment in low-resource environments.
Over 5,000 developers and enterprises have embraced CoRover.ai’s Conversational Gen AI platform, amplifying its impact on AI-driven innovation. BharatGPT-3B-Indic serves as a base model for custom LLMs and small language models (SLMs), supporting text, audio, and video interfaces across multiple languages and multimodal applications.
“By blending Composite AI with a lifecycle-based approach, BharatGPT-3B-Indic reflects our vision of secure, scalable, and domain-specific LLMs that enhance ease of living for diverse communities,” said Ankush Sabharwal, founder and CEO of CoRover.ai.
CoRover.ai offers a range of conversational AI platform-based virtual assistants, including chatbots, voicebots, and videobots, to hundreds of organisations. Its clientele includes notable names such as IRCTC, LIC, IGL, KSRTC, the Indian Navy (GRSE), Sneha AI, NPCI, and the Government of India, among many others.
The company, known for creating BharatGPT, its own indigenous LLM, recently secured $4 million in a Series A funding round led by Venture Catalysts. It was also accepted into NVIDIA Inception, a program designed to support startups, granting access to NVIDIA’s resources, including GPUs, unparalleled computing power, and robust software support.
Earlier this year, CoRover introduced AI Realtor, the world’s first video bot built exclusively for the real estate industry. It streamlines the home buying process, making it smarter, faster, and more efficient.
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