NVIDIA NIM for GPU accelerated Llama-3.1-8B-Instruct inference through OpenAI compatible APIs
Llama-3.1-8B-Instruct
Description:
This container houses the Llama-3.1-8B-Instruct, which is an 8 billion parameter, instruction-tuned large language model created by Meta. This model is part of the Llama 3.1 family of open-access models and is specifically optimized for dialogue and conversational use cases, making it highly capable of following user instructions to perform a wide variety of natural language processing tasks.
The container components are ready for commercial/non-commercial use.
Documentation
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
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 [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for AI Products.
The use of any models in this container is governed by the NVIDIA Open Model Agreement in addition to any terms which govern the specific models used.
You are responsible for ensuring that your use of any provided models complies with all applicable laws.
Use of this model is governed by the NVIDIA Open Model Agreement. The underlying model is also licensed under the Llama 3.1 Community License Agreement. Built with Llama.
Deployment Geography:
Global
Release Date:
Build.NVIDIA.com 07/23/2024 via
https://build.nvidia.com/meta/llama-3_1-8b-instruct
Huggingface 07/23/2024 via
https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Program Classes
Llama-3.1-8B-Instruct Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Llama-3.1-8B-Instruct | A conversational AI model for instruction-following, content generation, summarization, and coding assistance. | Automatic |
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.
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 quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
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