NVIDIA has launched the Nemotron-4-Mini-Hindi-4B model, a small language model for Hindi, enabling businesses to deploy AI solutions specific to local needs. This model, part of NVIDIA’s NIM microservice, can be deployed on NVIDIA GPU-accelerated systems, optimising performance for various applications.
Tech Mahindra is the first to implement this model, creating Indus 2.0, which focuses on Hindi and its dialects.
The Nemotron Hindi model has 4 billion parameters and was derived from a 15-billion parameter multilingual model, Nemotron-4. It was trained with real-world Hindi data and synthetic data, including English.
After fine-tuning with NVIDIA NeMo, it leads on multiple accuracy benchmarks for AI models with up to 8 billion parameters. Packaged as a microservice, it supports various industry applications, including education and healthcare.
Innovators and enterprises in India are utilising NVIDIA NeMo to create customised language models.
Sarvam AI has developed Sarvam 1, India’s first multilingual language model, trained on NVIDIA H100 GPUs. This model supports English and ten major Indian …