Qwen3-32B NIM for DGX Spark
Qwen3-32B NIM for DGX Spark Overview
This container houses the Qwen3-32B NVFP4 model, which is a causal language model that is instruction-optimized for chat and agent applications. It is a large language model with 32 billion parameters of the Qwen3 series that delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support.
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 model card here: Qwen3-32B.
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 License.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Huggingface 04/28/2025 via Qwen3-32B
Program Classes:
This container houses the Qwen3-32B model.
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Qwen3-32B | Reasoning, instruction-following, agent capabilities, and multilingual support. | 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.
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Container Version(s):
Qwen3-32B-NIM-for-DGX-Spark-1.0
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results.
For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
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.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.