This container includes Riva-Translate-4B-Instruct, a translation model supporting 12 languages including English, Spanish, French, Chinese, Japanese, Arabic, and more.
Riva-Translate-4B-Instruct Overview
Description
This container houses the Riva-Translate-4B-Instruct, which translates text in 12 languages. The supported languages are: English(en), German(de), European Spanish(es-ES), LATAM Spanish(es-US), France(fr), Brazillian Portugese(pt-BR), Russian(ru), Simplified Chinese(zh-CN), Traditional Chinese(zh-TW), Japanese(ja),Korean(ko), Arabic(ar).
The container components are ready for commercial/non-commercial use.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for AI Products. Use of this model is governed by the NVIDIA Community Model License. ADDITIONAL INFORMATION: Apache 2.0.
Deployment Geography:
Global
Release Date
NGC: Dec 10, 2025
Riva-Translate-4B-Instruct
Riva-Translate-4B-Instruct Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Riva-Translate-4B-Instruct | Translators, marketers, and web developers who deliver content in multiple languages. | 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):
Riva-Translate-4B-Instruct
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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.
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