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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Writer Palmyra-X-004 Free trial

By:
Latest Version:
v1.0.0
Introducing Palmyra-X-004: Our Flagship General-Purpose LLM Delivering Unparalleled Performance and Speed Across Diverse Applications.

    Product Overview

    Palmyra-X-004 is a powerful large language model ranking among the top-performing AI models in the HELM evaluation framework. It demonstrates exceptional capabilities in knowledge tasks, coding, and mathematics, while excelling in instruction following and structured data handling. The model features a 128K context window and broad multilingual capabilities. Benchmarks show Palmyra-X-004 achieves performance levels comparable to industry leaders GPT-4o and Claude 3.5 Sonnet.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Palmyra-X-004 is built for enterprises that need to leverage their internal data and documents for accurate and reliable language processing. It excels at understanding structured data (like tables), generating structured outputs (especially JSON), and provides enhanced role-play implementation and condition-setting capabilities for chatbots.

    • The model delivers exceptional speed and performance through optimized inference engines, enabling low-latency inference on accelerators on AWS. This optimization provides flexible cost and performance options for Amazon SageMaker customers while maintaining high-throughput production capabilities.

    • Features industry-leading 128K context window support, enabling processing of extensive documents. Includes comprehensive tool use capabilities for function calling and automation. Offers robust multilingual support across major global languages including English, Japanese, Chinese, French, and more.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$57.08/hr

    running on ml.p5.48xlarge

    Model Batch Transform$57.08/hr

    running on ml.g5.48xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$113.07/host/hr

    running on ml.p5.48xlarge

    SageMaker Batch Transform$20.36/host/hr

    running on ml.g5.48xlarge

    About Free trial

    Try this product for 5 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.p5.48xlarge
    Vendor Recommended
    $57.08

    Usage Information

    Model input and output details

    Input

    Summary

    The model accepts JSON requests with parameters that can be used to control the generated text. See examples and fields descriptions below.

    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    The output is a JSON object that has the generated text along with likelihoods of tokens, if requested. See example json.

    Output MIME type
    application/json
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Writer Palmyra-X-004

    Email support services are available from Monday to Friday. support@writer.com

    AWS Infrastructure

    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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    Refund Policy

    All fees are non-refundable and non-cancellable except as required by law.

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