BharatGen - Patram 7B Instruct

BharatGen presents Param-2-17B-MoE-A2.4B, a large-scale Mixture-of-Experts (MoE) language model designed to deliver high model capacity while retaining the inference efficiency of a much smaller dense model. It uses a Hybrid MoE architecture with 17B total parameters, while activating only 2.4B parameters per token.

Sooktam-2 is a multilingual Indic Text-to-Speech model by BharatGen supporting 12 languages including Hindi, Marathi, Tamil, Telugu, Bengali, Urdu, Punjabi and Indian English. It enables high-quality speech synthesis with reference-guided voice conditioning, preserving speaker voice, accent and prosody for natural and expressive generation.

Param-1-7B-MoE is a multilingual large language model developed under the Param-1 family as part of BharatGen – A Suite of Generative AI Technologies for India. With 7 billion parameters and a Mixture of Experts (MoE) architecture, the model is designed to better understand and generate text across English, Hindi, and 14 additional Indian languages. The model is pretrained from scratch with a strong focus on linguistic diversity, cultural context, and large-scale multilingual representation.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.

Text-to-speech synthesis model tailored to match a given speaker's voice sample.