Sold by: Widn.AI
Deployed on AWS
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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
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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.
Pricing
Free trial
Try this product free for 7 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 | $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 |
Dimensions summary
You pay by the host hour for running model inference, so cost scales with how long each instance runs. The four dimensions split along two lines: instance type and inference mode. Three GPU instance types are available (ml.g5.48xlarge, ml.p4d.24xlarge, and ml.p4de.24xlarge), each with different compute capacity. Inference mode is either real-time, for on-demand translation responses, or batch, for processing grouped workloads. The ml.g5.48xlarge instance supports both batch and real-time modes, while the two ml.p4d and ml.p4de instances offer real-time only. Pick the instance and mode that match your workload.
Top-of-mind questions for buyers
You pay per host hour while an instance runs. Charges accrue for each hour the instance is active, whether or not it processes translations. Fully stopped instances do not accrue software charges. Underlying AWS storage or resource fees may still apply while an instance is stopped.
Both meter cost per host hour. Real-time mode keeps an instance running to answer translation requests on demand, so you pay for the time it stays available. Batch mode processes grouped workloads together, so you pay for the hours spent running those jobs. Choose based on your workload pattern.
Each instance type (ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge) provides different compute capacity for model inference. All bill per host hour. Match the instance to your translation throughput and latency needs. Only ml.g5.48xlarge offers batch mode; the ml.p4d and ml.p4de types run real-time only.
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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
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 |
Resources
Vendor resources
Support
Vendor support
Contact us at support+aws@widn.ai .
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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