BharatGen Param2 17B MoE
India's sovereign 17B MoE — 22 Indian languages, open weights.
About
BharatGen Param2 17B MoE, unveiled February 2026 at the India AI Impact Summit in New Delhi, is India's flagship sovereign foundation model: a 17-billion-parameter mixture-of-experts model built natively for 22 Scheduled Indian languages. Developed under the IndiaAI Mission at IIT Bombay's Technology Innovation Hub with NVIDIA partnership (NeMo, NeMo-RL, Base Command Manager), it is trained on India-centric data under the Bharat Data Sagar program and released openly on Hugging Face. It anchors a broader family including Shrutam2 (multilingual speech-to-text), Sooktam2 (text-to-speech with zero-shot voice cloning), and Patram (document processing for Indian banking, insurance, and government forms).
The honest picture: sovereign-AI announcements carry national-prestige incentives, and independent benchmark comparisons against mainstream multilingual models are still sparse. The model's real differentiator is not raw capability but first-class Indic-language coverage and public-sector alignment — governance, education, healthcare, and agriculture use cases where English-centric models underperform. For developers outside those domains, mainstream open models remain more practical.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 58; Trending score 74/100 from researcher assessment.