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BharatGen - Param-1-7B-MoE Advancing Multilingual GenAI for India

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.

About Model

Key Highlights * 7B parameter Mixture of Experts (MoE) language model * Multilingual: English, Hindi + 14 Indian languages *Base Pre-Trained Checkpoint * Trained on 4 trillion tokens * Uses 64 specialized experts, dynamically activated per token * Supports long-context understanding (up to 4096 tokens) * Designed as a pretrained (PT) base model for downstream fine-tuning Supported Languages In addition to English and Hindi, the model has been trained on data from the following 14 Indian languages: * Assamese, Bengali, Gujarati, Kannada, Maithili, Malayalam, Marathi, Nepali, Oriya, Punjabi, Sanskrit, Sindhi, Tamil, Telugu This broad language coverage enables better performance in region-specific applications and improves inclusivity across India’s linguistic landscape.

BharatGen - Param-1-7B-MoE Advancing Multilingual GenAI for India

Metadata Metadata

Attribution 4.0 International (CC BY- 4.0)

bharatgenai

Transformers

PyTorch

Open

BharatGen

Other

06/01/26 12:29:55

0

Activity Overview Activity Overview

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Tags Tags

  • safetensors
  • mixtral
  • region:us

License Control License Control

Attribution 4.0 International (CC BY- 4.0)

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