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    Widn Tower Vesuvius

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    Sold by: Widn.AI 
    Deployed on AWS
    Free Trial
    Tower Vesuvius by Widn is a powerful multilingual LLM designed for advanced translation tasks across multiple languages and domains.

    Overview

    Widn Tower Vesuvius is a multilingual LLM based on Unbabel's powerful Tower LLMs, optimized for high-quality translation use cases across multiple domains. It is the largest and most powerful model offered by Widn, for those who need the highest quality and performance.

    Highlights

    • **Widn Tower Vesuvius** is intended for multilingual tasks and is specially strong on machine translation. This means you can solve several translation use cases that traditional NMT models struggle with. This includes: - Translation of entire documents; - Translation with few-shots for real-time adaption; - Translation following specific terminologies/glossaries; - Translation into different tones; - Translation following style guides.
    • **Widn Tower Vesuvius** was trained on a diverse multilingual dataset comprising millions of high-quality translations across various domains. While it excels in many languages, performance may vary for low-resource languages or highly specialized technical content.
    • **Widn Tower Vesuvius** supports 26 languages and variants: German, Spanish, French, Italian, Korean, Dutch, Russian, English, Portuguese (Portugal), Portuguese (Brazilian), Spanish (Latin America), Chinese (Simplified), Chinese (Traditional), Czech, Ukrainian, Hindi, Icelandic, Japanese, Polish, Swedish, Hungarian, Romanian, Danish, Norwegian (Nynorsk), Norwegian (Bokmal), Finnish

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 7 days according to the free trial terms set by the vendor.

    Widn Tower Vesuvius

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    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.

    Usage costs (4)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.g5.48xlarge Inference (Batch)
    Recommended
    Model inference on the ml.g5.48xlarge instance type, batch mode
    $40.00
    ml.g5.48xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.g5.48xlarge instance type, real-time mode
    $40.00
    ml.p4de.24xlarge Inference (Real-Time)
    Model inference on the ml.p4de.24xlarge instance type, real-time mode
    $50.00
    ml.p4d.24xlarge Inference (Real-Time)
    Model inference on the ml.p4d.24xlarge instance type, real-time mode
    $50.00

    Vendor refund policy

    No refunds. Please contact  support+aws@widn.ai  for further assistance.

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    Usage information

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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:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    This is an improved version of the first Widn Tower Vesuvius model, a powerful multilingual LLM optimized for high-quality translation use cases across multiple domains, and now much better at following instructions.

    Additional details

    Inputs

    Summary

    The model accepts JSON input containing a prompt with the text to be translated and optional model parameters.

    See the notebook for examples of tested prompts.

    Limitations for input type
    The input text should be clear and well-formed. The maximum token limit is 4096 tokens. For best quality, use the prompt examples shown in the example and in the notebook.
    Input MIME type
    application/json
    https://github.com/widn-ai/aws-marketplace/blob/main/data/input/real-time/example.json
    https://github.com/widn-ai/aws-marketplace/data/input/batch

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    messages.role
    The role of the message. Examples: "system", "user", "assistant".
    Type: FreeText
    Yes
    messages.content
    The content of the message. Example: "Translate the following text from Portuguese into English.\n Portuguese: Um grupo de investigadores lançou um novo modelo para tarefas relacionadas com tradução.\n English:”
    Type: FreeText Limitations: Be aware of the max number of tokens supported (4096).
    Yes

    Custom attributes

    The following table describes custom attributes for real-time inference endpoints.

    Field name
    Description
    Constraints
    Required
    max_tokens
    The maximum number of tokens that can be generated in the chat completion.
    Type: Integer Minimum: 1 Maximum: 4000
    Yes

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