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Llama 3.1 Nemotron Nano 8B V1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct with reasoning capabilities.
Overview
Llama 3.1 Nemotron Nano 8B V1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct. It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling.
Llama 3.1 Nemotron Nano 8B V1 is a model which offers a great tradeoff between model accuracy and efficiency. It is created from Llama 3.1 8B Instruct and offers improvements in model accuracy. The model supports a context length of 128K.
This model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling as well as multiple reinforcement learning (RL) stages using REINFORCE (RLOO) and Online Reward-aware Preference Optimization (RPO) algorithms for both chat and instruction-following. The final model checkpoint is obtained after merging the final SFT and Online RPO checkpoints.
NVIDIA NIM microservices for this model simplifies the deployment which is optimized for language understanding, reasoning, and text generation use cases. Llama 3.3 Nemotron Super 8B V1 is available as an NVIDIA NIM microservice, part of NVIDIA AI Enterprise available on the AWS Marketplace. NIM is a set of easy-to-use microservices designed for secure, reliable deployment of high performance AI model inferencing across clouds, data centers and workstations. For more information on the model, refer: https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1Â
Highlights
- Llama 3.1 Nemotron Nano 8B V1 NIM is an 8-billion-parameter multilingual large language model (LLM) pretrained and instruction tuned generative model. Developers designing AI Agent systems, chatbots, RAG systems, and other AI-powered applications can use this NIM. Also suitable for typical instruction-following tasks.. It is available as an [NVIDIA NIM microservice](https://docs.nvidia.com/nim/large-language-models/latest/introduction.html).
- NVIDIA NIM, a part of the [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/) software platform available on the [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-ozgjkov6vq3l6), is a set of easy-to-use microservices designed for secure, reliable deployment of high performance AI model inferencing.
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Pricing
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.12xlarge Inference (Batch) Recommended | Model inference on the ml.g5.12xlarge instance type, batch mode | $4.00 |
ml.g5.12xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.12xlarge instance type, real-time mode | $4.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $4.00 |
ml.g5.48xlarge Inference (Batch) | Model inference on the ml.g5.48xlarge instance type, batch mode | $8.00 |
ml.g5.24xlarge Inference (Real-Time) | Model inference on the ml.g5.24xlarge instance type, real-time mode | $4.00 |
ml.g5.48xlarge Inference (Real-Time) | Model inference on the ml.g5.48xlarge instance type, real-time mode | $8.00 |
ml.g6e.12xlarge Inference (Real-Time) | Model inference on the ml.g6e.12xlarge instance type, real-time mode | $4.00 |
ml.g6e.24xlarge Inference (Real-Time) | Model inference on the ml.g6e.24xlarge instance type, real-time mode | $4.00 |
ml.g6e.48xlarge Inference (Real-Time) | Model inference on the ml.g6e.48xlarge instance type, real-time mode | $8.00 |
ml.p4d.24xlarge Inference (Real-Time) | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $8.00 |
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Additional details
Inputs
- Summary
The model accepts JSON requests with parameters on /invocations and /ping APIs that can be used to control the generated text. See examples and fields descriptions below.
- Input MIME type
- application/json
{ model: "nvidia/llama-3.1-nemotron-nano-8b-v1", messages: [{"role":"system","content":"detailed thinking on"},{"role":"user","content":"Write a limerick about the wonders of GPU computing."}]}
https://github.com/NVIDIA/nim-deploy/blob/main/cloud-service-providers/aws/sagemaker/aws_marketplace_notebooks/nim_llama3.1-nemotron-nano-8b-v1_aws_marketplace.ipynb
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
model | Name of the model: nvidia/llama-3.1-nemotron-nano-8b-v1 | - | No |
messages.role | Role of the entity in conversation | Type: Categorical Allowed values: system, user, assistant | Yes |
max_tokens | Number of tokens that can be generated in the model's response | Default value: 1024 Type: Integer Minimum: 0 Maximum: 2048 | No |
Resources
Support
Vendor support
Free support via NVIDIA NIM Developer Forum: https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/Â Global enterprise support is included with an NVIDIA AI Enterprise subscription: https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/Â For additional support information please contact NVIDIA: https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offerÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Llama-3-Varco-Offsetbias-8B is NCSOFT's generative judge model that performs pairwise preference evaluation task.
Available as a NIM, Llama 3.1 8B-Instruct is an 8B-parameter LLM pretrained, instruction tuned model optimized for multilingual dialogue.
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