This container houses the Sarvam-m, which generates human-like text for a seamless chatting experience, providing a smooth and accessible multilingual conversation experience, and is intended for general-purpose conversation and text generation tasks.
Sarvam-m Overview
Description:
This container houses the Sarvam-m, which generates human-like text for a seamless chatting experience, providing a smooth and accessible multilingual conversation experience, and is intended for general-purpose conversation and text generation tasks.
The container components are ready for commercial/non-commercial use.
Third-Party Community Consideration
This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA [sarvamai/sarvamai-m]
https://huggingface.co/sarvamai/sarvam-m
License/Terms of Use:
GOVERNING TERMS:** The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. The model is governed by the NVIDIA Community Model License Agreement;
ADDITIONAL INFORMATION:** Apache License Version 2.0.
You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Huggingface: 05/23/2025 via
https://huggingface.co/sarvamai/sarvam-m
Sarvam-m
Sarvam-m Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Sarvam-m | General purpose, high-performance text generation, and reasoning in English and multiple Indian languages. Suitable for tasks requiring high accuracy. | Automatic |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Reference(s):
N/A
Container Version(s):
nvcr.io/nvstaging/nim/sarvam-m:1.8.5-30917034
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse
Please report security vulnerabilities or NVIDIA AI Concerns here.