Linux / amd64
Linux / arm64
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.
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).
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products; and the use of this model which is governed by the NVIDIA Community Model License Agreement.
ADDITIONAL INFORMATION: Llama 3.1 Community License Agreement. Built with Llama.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Global
Build.Nvidia.com 07/23/2024 via
https://build.nvidia.com/meta/llama-3_1-70b-instruct/modelcard
Huggingface 07/23/2024 via
scb10x/llama3.1-typhoon2-70b-instruct · Hugging Face
NGC 07/23/2024 via
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/llama-3_1-8b-instruct-nemo
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 |
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
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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.
Llama-3.1-8B-Instruct-1.13.0
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You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.