This container houses the Teuken-7B-instruct-commercial-v0.4, which is a 7B multilingual model trained on 4T tokens across 24 EU languages, offering culturally aware, consistent outputs beyond English-focused models.
Teuken-7B-instruct-commercial-v0.4 Overview
Description:
This container houses the Teuken-7B-instruct-commercial-v0.4, which generates text as an instruction-tuned 7B- parameter multilingual large language model (LLM) pre-trained on 4 trillion tokens across all 24 official European languages. This model is specifically designed to provide more stable and culturally relevant results across these languages compared to models primarily focused on English.
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 [openGPT-X/Teuken-7B-instruct-commercial-v0.4]
(openGPT-X/Teuken-7B-instruct-commercial-v0.4 · Hugging Face)
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.
Deployment Geography
Global
Release Date
Huggingface: 10/25/2024 via
openGPT-X/Teuken-7B-instruct-commercial-v0.4 · Hugging Face
Teuken-7B-instruct-commercial-v0.4
Teuken-7B-instruct-commercial-v0.4 Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Teuken-7B-instruct-commercial-v0.4 | A 7-billion-parameter, instruction-tuned large language model designed for commercial and research use across all 24 official European languages. It is specialized for multilingual tasks and reflects European values. | 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):
Teuken-7B-instruct-commercial-v0.4 : 1.8.5
Ethical Considerations:
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