Dhīr 2B and Dhīr 5B MoE
Compact foundation models, pretrained from scratch, that run fully offline.
Dhīr 2B and Dhīr 5B MoE are now available
Foundation models built from scratch in India, with products that put them to work in industry: fine-tuned on enterprise data and deployed on your infrastructure, including fully offline environments.
Born at IISc BangaloreSupported by the IndiaAI Mission
Compact foundation models, pretrained from scratch, that run fully offline.
GKE Inference Gateway raised our synthetic-data generation throughput 4.07×.
Dhīr models are pretrained from scratch rather than adapted from existing weights. Dhīr 2B and Dhīr 5B MoE are compact models that run offline; enterprises fine-tune them on their own data and deploy them where they run.
| Attribute | Dhīr 2B | Dhīr 5B MoE | Dhīr 9B |
|---|---|---|---|
| Status | Released | Released | In development |
| Architecture | Dense, 2.03B parameters | Mixture of experts, 5.09B total, 1.79B active | Language and scientific |
| Runs | Offline on laptops and edge devices | Offline on laptops and edge devices | To be announced |
Dhīr 2B
Dhīr 5B MoE
Dhīr 9B
BrahmX prepares the data, Dhīr provides the foundation models, and ZenteiQ products put them into practical workflows. Select any part to see what it does.
Engineering workflows, model-assisted R&D and offline deployment.
Simulation, asset and engineering intelligence.
Technical knowledge, engineering analysis and workflow acceleration.
Challenge
High-fidelity engineering simulations are computationally intensive when engineers need to explore many design variations and operating conditions.
Approach
ZenteiQ built a machine-learning surrogate from high-fidelity simulation data and compared its predictions with reference solver results.
Outcome
The surrogate supports rapid assessment of selected design scenarios, with high-fidelity solver results remaining the validation reference. Quantitative findings are shared through approved technical disclosures.
Validate on a defined enterprise use case.
Fine-tune or configure using approved enterprise data.
Cloud, private cloud, on-premises or offline edge.
Integration, monitoring, updates and support.
Available through enterprise licensing and pilot programmes.
Start a pilotBorn from scientific-computing research at IISc Bangalore, ZenteiQ builds models and enterprise AI systems for real engineering environments.
Independent model development, traceable data pipelines and deployment choices built around enterprise data governance and privacy.
Papers, model reports and technical writing.
Tell us what you’re working on, and the right person at ZenteiQ will follow up.