Model-Free NIM

Description:

Model-Free NIM 2.0 is a NIM microservice container designed to support a broad range of LLMs. It includes a production-ready inference runtime with optimized inference engines from NVIDIA and the community—such as vLLM. When provided with an LLM at container runtime, stored in a Hugging Face format, the NIM identifies the model’s architecture and quantization, selects the appropriate inference backend, applies preconfigured settings for the model and backend, and begins serving the model for inference. For more information, see the NIM documentation and supported model architectures.

The container components are ready for commercial/non-commercial use.

Documentation

Visit the LLM NIM documentation page for release documentation, deployment guides, and more.

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; Use of any models in this container is governed by the NVIDIA Open Model License Agreement in addition to any additional terms which govern the specific models used.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography:

Global

Supported GPUs:

• Generic

Deployment Details:

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.

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 quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with NVIDIA NIM

Deploying and integrating NVIDIA NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container LLM page for release documentation, deployment guides and more.

Enterprise Support

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