Sold by: NVIDIAÂ
Deployed on AWS
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Available as a NIM, Mixtral 8x7B Instruct is a sparse MoE LLM that follows instructions, completes requests, and generates creative text.
Overview
Mixtral 8x7B Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. Mixtral 8x7B a high-quality sparse mixture of experts model (SMoE) with open weights. This model has been optimized through supervised fine-tuning and direct preference optimization (DPO) for careful instruction following. Mixtral-8x7B-Instruct-v0.1 is an instruct fine-tuned version of the Mixtral-8x7B-v0.1.
Mixtral 8x7B Instruct v0.1 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.
This NIM is a prebuilt container that includes inference engines like Triton Inference Server, TensorRT, TensorRT-LLM, and PyTorch. NIM provides features like low latency, high throughput, function calling, metrics export, standard API, optimized profiles & enterprise support.
Highlights
- Mixtral 8x7B Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. Mixtral 8x7B a high-quality sparse mixture of experts model (SMoE) with open weights. 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.
Details
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Delivery method
Latest version
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 90 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.48xlarge Inference (Batch) Recommended | Model inference on the ml.g5.48xlarge instance type, batch mode | $4.00 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $8.00 |
ml.g5.12xlarge Inference (Batch) | Model inference on the ml.g5.12xlarge instance type, batch mode | $4.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $4.00 |
ml.g5.12xlarge Inference (Real-Time) | Model inference on the ml.g5.12xlarge instance type, real-time mode | $4.00 |
ml.g5.24xlarge Inference (Real-Time) | Model inference on the ml.g5.24xlarge instance type, real-time mode | $4.00 |
Vendor refund policy
No refunds. Please contact NVIDIA at https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offer/Â for further assistance.
Legal
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Content disclaimer
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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
Release notes are available here: https://docs.nvidia.com/nim/large-language-models/latest/release-notes.html#release-1-2-1Â
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": "meta/llama-3.1-8b-instruct",
"messages": "[
{"role": "user", "content": "Hello! How are you?"},
{"role": "assistant", "content": "Hi! I am quite well, how can I help you today?"},
{"role": "user", "content": "What is the capital of France? Give one word answer."}
]",
"max_tokens": 4,
"stream":false
}
https://github.com/NVIDIA/nim-deploy/blob/main/cloud-service-providers/aws/sagemaker/aws_marketplace_notebooks/nim_mixtral_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: mistralai/mixtral-8x7b-instruct-v0.1
| Type: FreeText | Yes |
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: 4096 | No |
Resources
Support
Vendor support
Free support via NVIDIA NIM Developer Forum: https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/ Global enterprise support is included with an NVIDIA AI Enterprise subscription: https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/ For additional support information please contact NVIDIA: https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offer https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/678Â
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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