Sold by: Widn.AI
Deployed on AWS
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Tower Sugarloaf by Widn is a powerful multilingual LLM designed for advanced translation tasks across multiple languages and domains.
Overview
Widn Tower Sugarloaf is a multilingual LLM based on Unbabel's powerful Tower LLMs, optimized for high-quality translation use cases across multiple domains. It is the medium offering by Widn, for those who need a balance between quality, speed, and cost.
Highlights
- **Widn Tower Sugarloaf** 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 Sugarloaf** 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 Sugarloaf** 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 (Bokmål), Finnish
Details
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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.g5.12xlarge Inference (Batch) Recommended | Model inference on the ml.g5.12xlarge instance type, batch mode | $20.00 |
ml.g5.12xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.12xlarge instance type, real-time mode | $20.00 |
Dimensions summary
You pay based on usage of the Tower Sugarloaf translation model, billed by host hours (HostHrs) on the ml.g5.12xlarge instance type. Two options let you choose your inference mode. Batch mode processes translation jobs in groups. Real-time mode returns translations on demand. Both run on the same instance size, so your cost scales with how many hours the instance runs. You select the mode that matches your workload, and pricing follows the hours consumed.
Top-of-mind questions for buyers
One HostHrs unit is one hour that the ml.g5.12xlarge instance runs the Tower Sugarloaf model. You pay for each hour the instance is active, regardless of how many translations it processes during that hour. Billing follows the running time of the instance.
Both modes bill by host hours on the same ml.g5.12xlarge instance. Batch mode processes translation jobs in groups, which suits high-volume work you can queue. Real-time mode returns translations on demand, which suits interactive requests. You pick the mode that matches your workload and pay for hours consumed.
Charges apply per host hour while the instance runs. If you keep the instance active but idle, host-hour charges still accrue. Stopping the instance ends software host-hour charges, though underlying AWS storage fees may still apply. Metering follows running time, not translation volume.
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No refunds. Please contact support+aws@widn.ai for further assistance.
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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 Sugarloaf 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 the text to be translated and optional model parameters.
- Limitations for input type
- 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
Limitations: Use "user" for better results. | 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 |
max_tokens | The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API. | Default value: null
Type: Integer
Minimum: 1
Maximum: 4000 | No |
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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